# CustomGPT.ai – Custom GPTs from Your Business Content

## TLDR version
## Company Overview

CustomGPT.ai is a no-code AI platform founded in 2023 and headquartered in Needham, Massachusetts. The company's mission is to provide businesses with trustworthy AI solutions based on their own content and data, democratizing AI access for organizations of all sizes.

**Founder & CEO**: Alden Do Rosario (recognized as Top 10 Emerging Leader in Generative AI by GAI Insights)

## Core Product: Custom AI Agents

CustomGPT.ai transforms business content into specialized AI agents (chatbots) in just 2 minutes without requiring any coding skills. These agents can handle 93% of support and research questions while maintaining accuracy through their proprietary anti-hallucination technology.

## Key Features and Capabilities

### Technical Capabilities
- **No-Code Platform**: Build AI agents without technical expertise
- **1400+ File Format Support**: Including PDF, Word, Excel, PowerPoint, Google Docs, code files, multimedia
- **100+ Integrations**: Including Google Drive, Dropbox, SharePoint, HubSpot, Salesforce, WordPress, Shopify, Slack, Notion
- **92 Language Support**: Global deployment capabilities
- **Anti-Hallucination Technology**: Third-party verified #1 for accuracy, preventing AI from making up facts
- **Citation System**: Every response includes direct links to source material
- **White-Label Options**: Custom branding available on Premium+ plans

### API and Developer Tools
- **REST API**: Base URL: `https://app.customgpt.ai/api/v1/`
- **Authentication**: Bearer token via HTTP Authorization header
- **Python SDK**: Available via `pip install customgpt-client`
- **GitHub Repository**: https://github.com/Poll-The-People/customgpt-cookbook
- **Key Endpoints**:
  - Project management (CRUD operations for agents)
  - Conversation management
  - File upload and management
  - Webhook configurations

### Security and Compliance
- **SOC 2 Type 2 Certified**
- **GDPR Compliant**
- **Encryption**: SSL/TLS 1.2+ in transit, 256-bit AES at rest
- **Data Isolation**: Complete isolation between bots
- **Two-Factor Authentication**: Available
- **Infrastructure**: AWS US East with Pinecone vector database
- **Privacy**: Customer data never used for OpenAI model training

## Pricing Structure

### Standard Plan - $99/month ($89/month annual)
- 10 custom AI agents
- 5,000 documents per agent
- 60 million words storage
- 1,000 GPT-4 queries/month
- 3 team members
- 7-day analytics history

### Premium Plan - $499/month ($449/month annual)
- 100 custom AI agents
- 20,000 documents per agent
- 300 million words storage
- 5,000 GPT-4 queries/month
- 5 team members
- Full analytics history
- Auto-sync capabilities
- White-label branding removal
- SharePoint integration
- PII removal/anonymizer

### Enterprise Plan - Custom Pricing
- Unlimited agents, documents, storage
- Custom query limits
- Unlimited team members
- Microsoft Azure OpenAI API access
- Claude 3, 3.5 Sonnet via AWS Bedrock
- Custom SSO
- Dedicated account manager
- Priority support

## Target Audience and Industries

### Primary Industries
- Legal Services
- Education (Universities, Schools)
- E-commerce
- Healthcare
- Finance
- Manufacturing
- Technology
- Professional Services

### Customer Segments
- Small businesses
- Mid-market companies
- Enterprise organizations
- Educational institutions
- Government agencies
- Startups

## Notable Customers and Case Studies

### MIT (Massachusetts Institute of Technology)
- Created "ChatMTC" for entrepreneurship resources
- Available 24/7 in 90+ languages
- Provides access to MIT's entrepreneurship knowledge base

### Online Legal Services (Divorce-Online)
- Doubled sales after implementation
- Provides 24/7 customer support
- Six-month AI training program

### AI Ace (Education Startup)
- Won "Best Undergraduate Start-Up" award
- $1.2 million valuation
- Served 300+ students with 1,750+ questions in three days

## Primary Use Cases

1. **Customer Support**: Automated responses to 93% of queries
2. **Internal Knowledge Management**: Centralized access to company information
3. **Content Creation**: Blog posts, marketing materials in brand voice
4. **Education & Training**: AI tutors for course content
5. **Legal Services**: Client question handling and process explanations
6. **E-commerce**: Product recommendations and customer service
7. **HR Support**: Policy questions and employee assistance

## Integration Ecosystem

### Data Sources
- Cloud Storage: Google Drive, Dropbox, OneDrive
- CRM: HubSpot, Salesforce
- E-commerce: Shopify, WooCommerce
- Websites: WordPress, Wix, Squarespace
- Knowledge Bases: Confluence, Notion, Zendesk
- Communication: Slack, Microsoft Teams

### Automation Platforms
- Zapier (3000+ app connections)
- Make.com
- Pipedream
- Custom webhooks and REST API

## Technical Specifications

### Infrastructure
- Cloud Provider: AWS US East
- Vector Database: Pinecone
- Processing: Private VPC instances
- Scalability: Up to 60 million words per project

### Limitations
- Limited analytics/math capabilities
- Optimized for text retrieval rather than computational tasks
- Data stored in US (not EU-resident)
- Rate limits based on subscription tier

### Data Handling
- Retention: Until user deletion
- Processing: Immediate deletion option available
- Backup: Enterprise-grade systems
- Audit Trail: Complete API call logging

## Competitive Advantages

1. **Anti-Hallucination Technology**: Industry-leading accuracy
2. **No-Code Accessibility**: 2-minute setup time
3. **Extensive File Support**: 1400+ formats
4. **Multi-Language**: 92 languages
5. **Enterprise Security**: SOC 2 Type 2, GDPR compliance
6. **Citation Transparency**: Source links in every response
7. **Integration Breadth**: 100+ platform connections
8. **Rapid Innovation**: 2-3 major releases daily

## Business Model

### Revenue Streams
- Subscription revenue (monthly/annual)
- Enterprise custom contracts
- Professional services and onboarding
- API usage fees for high-volume customers

### Growth Strategy
- Freemium model with 7-day trial
- Tiered pricing for progressive adoption
- Enterprise focus for larger contracts
- Partner and affiliate programs
- Global expansion through multi-language support

## Contact and Resources

- **Website**: https://customgpt.ai
- **Documentation**: docs.customgpt.ai
- **Support**: Available via chat, email, and phone (Enterprise)
- **Free Trial**: 7 days for all plans
- **Demo**: Live demo available on website

## Summary

CustomGPT.ai is a comprehensive no-code platform that enables businesses to create accurate, source-citing AI agents from their own data. With enterprise-grade security, extensive integrations, and proven ROI through customer success stories, it serves as a trusted solution for organizations looking to implement AI without technical complexity or accuracy concerns. The platform's focus on preventing hallucinations while maintaining ease of use positions it as a leader in the business AI space.

## Full version

**CustomGPT.ai** is a no-code platform for building custom AI chatbots (GPT-powered agents) using your own business content. It combines **OpenAI’s GPT-4 and Claude's** language models with retrieval-augmented generation (**RAG**) to ensure answers are **grounded in your data**, minimizing hallucinations. With CustomGPT.ai, organizations can quickly create intelligent chat assistants that understand their **documents, websites, and knowledge bases** – all without any coding or model fine-tuning. This comprehensive overview covers CustomGPT’s capabilities, how it works, supported integrations, security features, pricing, technical stack, and key resources.

## Platform Capabilities and Features

* **No-Code AI Agent Builder:** CustomGPT.ai provides an intuitive web interface to **create GPT-4 powered chatbots without coding**. Users can build intelligent agents by simply uploading content or pointing to data sources – no machine learning expertise required. The platform handles the AI model and training behind the scenes, so businesses of any size can leverage advanced AI quickly.

* **GPT-4 with RAG (Retrieval-Augmented Generation):** At its core, CustomGPT.ai uses **GPT-4** and a retrieval system to **ground responses in your provided data**. The chatbot only answers questions using the **content you’ve uploaded or connected**, rather than relying on generic internet training data. This **anti-hallucination** approach ensures high factual accuracy and relevance. Each answer can be traced back to its source with **automatic citations**, so users can verify the information.

* **Extensive File Format Support:** CustomGPT.ai can ingest **over 1,400 file types** ranging from PDFs, Word documents, and spreadsheets to HTML, code snippets, and even multimedia transcripts. This flexibility means you can feed virtually any type of content into your AI agent. For example, you could include product manuals in PDF, FAQs in DOCX, CSV datasets, or website HTML – CustomGPT.ai will index and understand all of it. *(Premium plans even support OCR for scanned images/PDFs to extract text.)*

* **100+ Data Integrations:** The platform offers **1-click integrations** with a vast array of data sources and apps. You can connect your agent to **websites** (via URL or sitemap), **cloud drives** (e.g. Google Drive, SharePoint), **knowledge bases** (Notion, Confluence, HubSpot), **content management systems** (WordPress, Wix, Squarespace, etc.), **customer support hubs** (Zendesk), **e-commerce platforms** (Shopify), and more. In total **100+ integrations** are supported – including popular tools like **Slack, Zapier, YouTube,** and others – allowing your AI to automatically pull in information from wherever your business content lives. This dramatically reduces manual data upload effort and keeps the bot’s knowledge up-to-date (via scheduled *auto-sync* on Premium plans).

* **Multilingual Support:** CustomGPT.ai supports **over 90 languages** for both content ingestion and chatbot interactions. You can create agents that understand and respond in languages such as English, Spanish, French, German, Chinese, Arabic, and dozens more (93 languages are supported in total). This enables businesses to deploy multilingual chatbots for global customer service and internal use without additional translation effort.

* **Customization & Branding:** Users have fine control over the **persona and appearance** of their chatbot. You can set the AI agent’s tone and behavior (friendly, formal, etc.), define example Q\&A pairs, and even **“white-label” the chatbot UI** with your own branding. The interface allows changing the bot’s name, avatar, colors, and welcome messages to align with your brand identity. **Premium and Enterprise** tiers can fully remove the CustomGPT.ai branding for a seamless branded experience. You can also add custom disclaimers or terms of service for users of your bot.

* **Interactive Analytics Dashboard:** CustomGPT.ai includes a real-time **analytics dashboard** to monitor your AI agent’s performance. You can track usage metrics, see what questions are being asked, view conversation transcripts, and identify popular topics or content gaps. These insights help you refine your knowledge base and measure the ROI of your AI (for example, seeing how many inquiries are handled by the bot). Enterprise customers even get advanced analytics and conversation insights for deeper analysis of user interactions.

* **API and Integrations for Workflows:** In addition to the web UI, CustomGPT.ai offers a **REST API** and integrations to embed its AI capabilities into your workflows. The platform has a **Zapier integration** that lets you trigger actions or queries based on events in 5,000+ other apps (e.g. send a customer’s chat question from Slack to a CustomGPT.ai bot and post the answer back). Similarly, native integrations (or API calls) allow deploying the chatbot in **Slack** (as a conversational bot), adding it to your **website** (embed code or chat widget), or integrating with internal systems. These options ensure you can meet users where they are – be it on your website, in your app, or in collaboration tools.

* **Enterprise-Grade Security:** CustomGPT.ai is built with **enterprise security and compliance** in mind. The service is **SOC 2 Type II compliant** and **GDPR adherent**, meaning it meets rigorous standards for data security and privacy controls. All data is transmitted and stored with encryption, and organizations can enforce **strict access controls** (including SSO login, role-based permissions, and 2FA) to protect sensitive info. Notably, **CustomGPT.ai does *not* use your proprietary data to train its general AI models** – your content remains private and is only used to answer questions for your agents. Enterprise customers can also sign custom **DPA (Data Processing Agreements)** and use **Single Sign-On** integration (SAML/OAuth with providers like Google Workspace, Azure AD, Okta, etc.) for user authentication. Additional security features include the ability to **self-host the chatbot behind login** (private deployment), set data retention policies (e.g. auto-delete conversation data after X days), add CAPTCHA verification on public bots, and even automatically **anonymize personal data** in uploaded content (a Premium feature). These measures give businesses full control over their data and compliance needs.

## Common Use Cases

CustomGPT.ai is versatile and can be applied across many domains. Some popular **use cases** include:

* **Customer Support:** Create a chatbot that can answer FAQs and support queries 24/7, reducing workload on support teams. The bot provides instant answers about products, policies, troubleshooting, etc., handling a large portion of repetitive tickets so human agents can focus on complex issues.

* **Internal Knowledge Base:** Empower employees with an AI assistant that knows your company’s internal documents and wikis. Staff can query the bot for HR policies, IT help, onboarding materials, or any internal info – getting quick answers without searching manuals. This improves productivity and onboarding speed.

* **Lead Generation & Sales:** Use a website chatbot to engage visitors, answer product questions, and guide prospects. The AI can qualify leads by asking questions, collect contact info, or recommend products, acting as a virtual sales assistant. This interactive engagement can boost conversion rates and capture leads around the clock.

* **E-commerce & Order Assistance:** Provide shoppers with an AI concierge that can lookup product details, check inventory, and help with order tracking or returns. The custom bot can be trained on product catalogs, sizing guides, and order FAQs to deliver personalized shopping support and reduce cart abandonment.

* **Education & Training:** For online course providers or internal training, a CustomGPT.ai agent can answer student questions about course content, explain concepts, or serve as a study helper. It can also be used by HR to answer employee training and policy questions, making learning resources more accessible.

* **Research and Content Generation:** *(via CustomGPT’s Researcher mode)* – CustomGPT.ai also offers a **Researcher** tool specialized for deep research and content creation. This AI can comb through connected research papers, knowledge bases, or any corpus to help create reports or articles with factual accuracy. (CustomGPT.ai Researcher is a separate mode with its own plans, including a free tier, aimed at helping writers and analysts generate content based on thorough document research.)

These examples barely scratch the surface – essentially any scenario where you have a body of information that people ask questions about, you can build a custom GPT agent to automate answers and interactions.

## Creating and Training a Custom Chatbot (Agent)

**Building a custom GPT agent** with CustomGPT.ai is designed to be fast and user-friendly. The typical process involves:

1. **Set Up an Account:** Sign up on CustomGPT.ai and choose a subscription plan (Standard, Premium, or Enterprise). You get a 7-day free trial to experiment with building agents. Once logged in, you can access the dashboard to manage your AI agents.

2. **Create a New Agent:** From the dashboard, click “**New Agent**” to start the creation wizard. You will be prompted to give your chatbot a name and choose a primary data source. CustomGPT.ai provides multiple options for feeding information:

   * **Website URL or Sitemap:** You can enter your website’s URL (or XML sitemap link). The platform will crawl and index the site’s pages automatically to build the knowledge base. This is great for turning an entire website or documentation portal into an AI assistant.
   * **File Uploads:** You can upload documents directly (PDFs, Word docs, PowerPoints, text files, etc.). CustomGPT.ai will ingest all files you provide. You can upload **up to 5,000 documents per agent** on the Standard plan (20,000 on Premium).
   * **Multiple Sources:** You aren’t limited to one source – after initial creation, you can **add more content sources** to the agent (e.g. upload more files *and* connect a website). The agent will combine all provided data into its knowledge. If you need to ingest content from **multiple websites or behind logins**, CustomGPT.ai supports that via specialized integrations or custom solutions (Enterprise plans may involve support from the CustomGPT.ai team for complex setups).

3. **Connect Integrations (Optional):** Instead of (or in addition to) manual uploads, you can connect pre-built **integrations** for continuous data syncing. For example, CustomGPT.ai can **sync with a Google Drive folder** to ingest any docs you place there, or connect to a **Notion workspace** to pull pages from your knowledge base. Other popular integrations include **HubSpot (for knowledge base articles)**, **Confluence wikis**, **SharePoint sites**, **Zendesk help center articles**, **YouTube channels** (to transcribe videos), and even **RSS feeds or podcasts**. In total, over *100 data source integrations* are available, covering most enterprise content systems (see **Supported Data Sources** below for more details). You simply authorize CustomGPT.ai to access the source, and it will import the data automatically. Premium users can also enable **auto-sync** so the agent periodically fetches updates (e.g. new files added to a Drive, or new articles on a website) without manual intervention.

4. **Initial Indexing:** Once you’ve provided the content (via URL, files, or integration), click “**Create Agent**.” CustomGPT.ai will then **index all the data** to build the vector knowledge base for the AI. This might take a few minutes for large content sets. The system generates embeddings for your documents and sets up the retrieval system so that GPT-4 can find relevant info when answering questions. CustomGPT.ai can handle **large volumes of data** – e.g. Standard plans allow up to **60 million words** of content indexed per agent (roughly equivalent to tens of thousands of pages). The result is a private, searchable repository of your knowledge that the AI will draw from.

5. **Test and Refine:** After indexing, you can chat with your new AI agent in the dashboard to **test its responses**. Ask it some sample questions to ensure it’s retrieving the right information. If you notice inaccuracies or missing info, you can add more data sources or adjust settings. CustomGPT.ai provides a “**Best Practices**” guide and tools to improve results – for instance, you can add **example Q\&A** pairs to teach the AI how to answer certain questions, or enable **“Highest Relevance” mode for stricter retrieval** (Premium feature) to make it even more fact-focused. You can also **edit the content**: if some documents have irrelevant text, you might remove those or use the **metadata editor** to fine-tune what sections are used. This iterative process helps refine the chatbot before it goes live.

6. **Configure Agent Settings:** CustomGPT.ai offers many settings to tailor the chatbot’s behavior. You can control the **persona** (e.g. professional vs casual tone) and add a custom system instruction if desired. You can set the agent’s **language** (it might autodetect from user input, but you can force a specific language). There are options to adjust how conversations flow: for example, limit how long the bot will keep context from prior messages, or change the fallback message when it doesn’t know an answer. Critically, you can toggle whether the bot should **stick strictly to your data or use general LLM knowledge**: by default, CustomGPT.ai **does not answer beyond your provided content**, but you *can* allow it to use general knowledge for open-ended questions (though this risks hallucinations). These settings let you fine-tune the user experience and accuracy of your agent.

7. **Deployment:** Once satisfied, you can deploy the chatbot to end-users through various channels (detailed in the next section). Deployment might be as simple as embedding a script on your website or connecting a Slack bot. You can create multiple agents for different purposes (e.g. one for customer FAQ, another trained on internal HR docs). **Standard plans support up to 10 agents**, Premium up to 100, and Enterprise can have more as needed. Each agent has a unique **Agent ID** and **Agent API key** if you wish to invoke it via API calls.

Throughout this creation process, you do *not* need to worry about training neural networks or managing AI infrastructure. CustomGPT.ai handles all the heavy lifting of embedding your data, hosting the model, and performing the GPT-4 queries. The result is a custom chatbot that behaves like an expert on your content.

## Supported Data Sources and Formats

One of CustomGPT’s biggest strengths is its **flexible data ingestion**. It can work with content from virtually anywhere, thanks to broad format support and integration options:

* **Documents and Files:** You can upload documents directly in the app. **Over 1,400 file formats are supported**, covering common business files and more. This includes:

  * Textual documents: PDFs, Word (.doc/.docx), Excel, PowerPoint, plain text, HTML, Markdown, etc.
  * Spreadsheets and CSVs.
  * Rich text and slides (Google Docs, Slides if exported or via integration).
  * Code files and snippets.
  * **Audio/Video content:** while the AI can’t “watch” a video, CustomGPT.ai will ingest **transcripts or metadata**. For example, you can provide an audio file and the system will transcribe it to text (using speech-to-text) to include in the knowledge base. Similarly, a YouTube integration can pull video subtitles. *(Note: transcription/OCR features may be limited to Premium plans.)*
  * **Images (via OCR):** If you have scanned documents or images with text, CustomGPT.ai can perform OCR to extract the text as content (Premium feature).
  * The file size limit per document is high (the platform indexes content by words, with tens of millions of words allowed in total). For extremely large documents, you might split them, but generally CustomGPT.ai can handle lengthy PDFs or books.

* **Web Pages and Websites:** CustomGPT.ai can ingest content from websites in multiple ways:

  * **Single Page URL:** Enter a URL and it will fetch the text from that page.
  * **Auto Crawl by Sitemap:** Provide your site’s sitemap.xml URL – the system will find and index all listed pages. This is ideal for documentation sites or knowledge bases that have sitemaps.
  * **Web Crawler (no sitemap):** If no sitemap is available, CustomGPT.ai has a web crawler that can follow links from a starting page (with some limits to avoid infinite crawling). There are also options to create a custom list of URLs to ingest, or even use Google Search results to find pages about your domain.
  * **Website Integrations:** For certain platforms (WordPress, Wix, Squarespace, Weebly, Shopify), CustomGPT.ai provides dedicated connectors to fetch content via their APIs. For example, “Connect to WordPress” will use WordPress APIs to pull all published posts/pages from your site without needing a sitemap.
  * You can configure the crawler settings, such as whether to execute JavaScript (useful for SPAs), how long to wait per page, and to avoid certain sections if needed. This ensures even complex websites can be indexed properly.

* **Knowledge Bases & Repositories:** Native integrations exist for:

  * **Notion** – connect your Notion workspace and select pages or databases to include.
  * **Confluence** – for enterprise wiki pages.
  * **HubSpot** – pull knowledge base articles or other content from HubSpot CRM.
  * **SharePoint** – connect to SharePoint sites or document libraries.
  * **Google Drive** – ingest all documents in a Drive folder (supports Google Docs, Sheets, Slides by converting them).
  * **Dropbox or OneDrive:** (If not directly listed, these could be handled via Zapier or by mounting as drives – not explicitly mentioned, but likely possible through file sync.)

* **Media and Others:**

  * **YouTube** – connect a YouTube channel to ingest all video transcripts from that channel (or add individual video URLs to index their captions).
  * **Podcasts/RSS** – provide a podcast feed or RSS feed URL, and CustomGPT.ai can fetch the episodes’ transcripts or text content.
  * **Zendesk** – ingest articles from a Zendesk Help Center (so your bot can answer support FAQs).
  * **E-Commerce** – Shopify integration to pull product info or FAQs from a Shopify site.
  * **Automation Tools:** **Zapier** integration allows connecting virtually any app not natively integrated – for example, using Zapier you could send new content from **Notion, Slack, Salesforce, etc.** into CustomGPT.ai as it’s created. Zapier can also be used to trigger CustomGPT.ai actions (more on that in Integrations section).

In summary, **CustomGPT.ai can aggregate knowledge from across your organization** – whether it lives in PDFs, intranet pages, or third-party SaaS platforms. The ability to combine multiple sources means your AI agent can have a comprehensive understanding of your domain. All ingested content is processed into embeddings in a vector database, which the GPT-4 model then queries at runtime to answer questions (this is the Retrieval-Augmented Generation at work).

*Technical note:* The system likely uses a vector store under the hood to enable semantic search through your documents. When a user asks something, the top relevant chunks of text are retrieved (based on embeddings) and fed into GPT-4’s context so that it can formulate a grounded answer. This approach obviates the need for traditional model fine-tuning on your data, as the knowledge is dynamically looked up each time.

## AI Models and Tuning Options

CustomGPT.ai leverages large language models on the backend, primarily from **OpenAI (GPT series)**, with options for **Anthropic’s Claude** on enterprise plans. Key points about the AI models and customization:

* **GPT-4 Powered:** By default, all CustomGPT.ai agents use **OpenAI’s GPT-4** model (often referred to as “GPT-4o” in the platform) for response generation. GPT-4 is known for its superior understanding and answer quality, ensuring the custom agent has high-quality conversational abilities. Each query to your agent counts as a GPT-4 API call under the hood, which is why plans have monthly query limits (e.g. Standard: 1,000 GPT-4 queries/month).

* **Model Variants for Speed vs Quality:** CustomGPT.ai provides different *response modes* which essentially use different model configurations:

  * **Optimal (Balanced)** – the default for Standard users uses GPT-4 with default settings, offering a balance of speed and reasoning.
  * **Fastest** – available to Premium users, this mode uses a **lighter model (GPT-4o “mini”)** to get quicker replies. This is likely analogous to using GPT-3.5-turbo or a distilled model for speed. It responds faster but may be slightly less nuanced.
  * **Highest Relevance** – available to Premium, it uses GPT-4 with an **advanced re-ranking approach** for answers. This might involve running an extra step to ensure the answer is the most relevant possible, improving accuracy at the cost of some latency.
  * Users can toggle these modes per agent to suit their needs (e.g. if response time is critical, choose Fastest; if accuracy is paramount, choose Highest Relevance).

* **Enterprise Model Access:** **Enterprise plan** customers unlock even more model choices. They can access the full range of OpenAI and Anthropic models supported by the platform, including the official **GPT-4 (uncensored)**, **GPT-4 Turbo**, the **“GPT-4o mini”** (used for fast mode), and Anthropic’s **Claude v3 and Claude 3.5 (“Sonnet” versions)**. This implies enterprise users could configure an agent to use, say, Claude 2 (if “Claude 3” refers to a version of Claude) as the backbone instead of GPT-4, which might be useful for specific use cases or preferences. It also suggests that future model upgrades (e.g. GPT-5 or others) would likely be available to Enterprise as options.

* **No Manual Fine-Tuning Required:** CustomGPT.ai is designed such that you **do not need to fine-tune or train a model** with your data in the traditional sense. The heavy lifting is handled by the RAG approach – your data is stored and retrieved, rather than altering the weights of the language model. This means you avoid the cost, complexity, and maintenance of training custom GPT models. However, if you have a pre-fine-tuned OpenAI model or custom model, currently you **cannot directly swap out** the model in CustomGPT.ai with your own (the system uses its managed set of models). Instead, you’d use the provided model options. The platform’s philosophy is that a well-prompted GPT-4 with your relevant data will achieve excellent results without bespoke model training.

* **Prompt and Persona Tuning:** While model weights aren’t fine-tuned, you *can* fine-tune behavior via prompts. CustomGPT.ai allows a **custom system prompt** or “persona” for each agent. For example, you might instruct the bot with “You are an empathetic customer support assistant for ACME Corp…” to shape its style. There are also **auto-generated personas** feature which can create a suggested system prompt based on your content. Additionally, you can add a **pre-prompt** for each user query (Premium feature) to inject certain context or constraints every time. These tools give you control over the tone and format of responses (e.g. always answer in a bulleted list, or always use a friendly tone).

In summary, CustomGPT.ai uses powerful base models (GPT-4 and others) and lets you customize *what the AI knows* (via your data) and *how it behaves* (via settings and persona prompts). It abstracts away the lower-level model tuning, making the process more about *curating good data and instructions* than tweaking neural networks. This approach is what enables fast deployment of reliable custom chatbots.

## Integrations and Deployment Options

CustomGPT.ai makes it easy to deploy your custom chatbot wherever you need it – whether on your public website, inside your product, or in team collaboration channels. It also integrates with workflow tools so you can automate AI interactions. Key integration and deployment options include:

* **Website Embeds:** You can embed your CustomGPT.ai agent on any website or web app. The platform provides an embed code (a small HTML/JS snippet) that injects a chat widget on your site. You can customize the widget’s look (color, position, icons) to match your site. Alternatively, CustomGPT.ai supports embedding via **iframe** if needed. There are guides for specific site builders: e.g. **Wix, Shopify, Notion pages, ReadMe docs** – showing how to embed the chatbot in those contexts with minimal effort. By deploying on your website, you enable visitors to ask questions and get instant answers from the AI trained on your content (improving self-service and user engagement).

* **Live Chat Integration:** For those who want a more traditional live-chat style interface, CustomGPT.ai offers a **Live Chat integration**. You can effectively use your AI agent as a live chat agent on your site, possibly with seamless handoff to humans if needed. The documentation provides scripts to add a chat bubble to your site (and you can label it as e.g. “Chat with our AI assistant”). This can replace or augment human live support for initial queries.

* **WordPress Plugin:** If your site runs on WordPress, CustomGPT.ai provides an official **WordPress plugin** for easy deployment. The plugin likely handles embedding the chatbot and may offer WordPress-specific settings. This allows millions of WordPress site owners to add an AI assistant without touching code.

* **Slack Bot:** CustomGPT.ai has a native **Slack integration** that lets your team chat with the AI agent directly in Slack. You can connect a CustomGPT.ai agent to a Slack workspace and designate a channel where it will act as a chatbot. Team members can then ask the bot questions in Slack (for example, “@CustomBot what’s the latest pricing policy?”) and the bot will respond with answers from its knowledge. This is extremely useful for internal knowledge bots – employees can get information in the flow of work without logging into another tool. The Slack integration also supports creating new agents from Slack – e.g. you can feed a PDF or link via a Slack command to update the bot’s knowledge. *(Note: Slack integration was in beta initially, but as of now it is supported as per docs.)* There’s potential for **Microsoft Teams** integration similarly (the platform mentions MS Teams in some contexts), though official docs mostly cover Slack.

* **Zapier & Workflow Automation:** With the **Zapier** connector, you can integrate CustomGPT.ai with thousands of apps for automated workflows. CustomGPT.ai is available as an **action** in Zapier, allowing operations like: *“Send a message to CustomGPT”*, *“Upload a file to CustomGPT”*, *“Create a new agent”*, etc., in response to triggers. For instance, you could set up a Zap: “When a new ticket arrives in Zendesk, ask CustomGPT.ai (trained on product docs) for an answer and post it as a draft reply.” The Zapier actions currently include:

  * **Send Message:** send a query to a specified CustomGPT.ai agent and get the answer (which you can then route somewhere).
  * **Upload File:** take a file from another app (e.g. an email attachment, Dropbox file, etc.) and add it to an agent’s knowledge base.
  * **Create Agent:** programmatically create a new CustomGPT.ai project/agent by specifying a name (and potentially a data source).
  * **Delete Agent:** remove a project via automation.

  Zapier integration opens up endless possibilities – you can connect CRM systems, forms, emails, etc., to your AI. For example, a sales team could have a Zap such that whenever a lead emails a question, the AI agent drafts a personalized answer from the knowledge base.

* **API Access:** For developers, CustomGPT’s **RESTful API** provides direct integration into any application. You can programmatically do everything the web interface allows – create and manage agents, add data sources, and conduct conversations – via HTTP endpoints. The API is documented with OpenAPI specs and includes endpoints for:

  * **Agents (Projects):** Create a new agent (`POST /api/v1/projects`), list agents, get or update settings, delete agents, etc..
  * **Sources:** Add a source to an agent (`POST /api/v1/projects/{id}/sources` with a sitemap URL or file), list sources, delete sources.
  * **Conversations:** Start a conversation with an agent (`POST /api/v1/projects/{id}/conversations`), send a message to the conversation (`POST /api/v1/projects/{id}/conversations/{convId}/messages`), retrieve messages, etc.. There’s also an endpoint to send a message in OpenAI’s chat format for compatibility.
  * **User & Team Management:** Endpoints to get or update the user profile, manage API keys, and retrieve usage limits (`GET /limits` shows your plan’s limits).
  * **Analytics:** Retrieve aggregate stats and metrics via API (e.g. conversation counts, query counts).

  Authentication is done with a Bearer API key in the header. You can generate an API key in your account settings and each key can be named and revoked as needed. **Client Libraries:** CustomGPT.ai provides a **Python SDK** (`pip install customgpt-client`) for convenience, so developers can import the library and easily call the API from Python code. There are also community libraries or examples (referred to as “cookbooks” on their GitHub) to demonstrate usage in other languages. The API enables integration into mobile apps, custom front-ends, or backend systems – for instance, one could build a custom UI on top of CustomGPT.ai or integrate the Q\&A engine into an existing chatbot framework.

* **Other Deployment Modes:** CustomGPT’s docs also mention:

  * **Private Deployments:** You can deploy an agent in a **private access mode**, requiring users to log in to view or chat with it. This is useful for an internal HR bot or any confidential info – it won’t be publicly accessible.
  * **Search Engine Integration:** A feature called “**Search Generative Experience**” allows you to integrate the AI with your website’s search, so that user search queries get an AI-crafted answer (with citations) in addition to normal search results. This mimics how Google’s Search Generative Experience works, but for your own site.
  * **CRM Integration:** A mention of enabling CRM integration suggests the AI could pull in customer-specific data when answering (possibly in Enterprise scenarios).
  * **Multichannel and Custom Integrations:** Through its API and tools, you can essentially deploy the AI anywhere – some users have embedded CustomGPT.ai in mobile apps or even IoT interfaces. Enterprise customers can work with CustomGPT’s team for **custom integration support** if needed (the Enterprise plan includes engineering support for unique use cases).

In summary, CustomGPT.ai makes your knowledge accessible *wherever it’s needed*: be it on your site for customers, on Slack/Teams for employees, via API for developers, or automated through Zapier. The variety of deployment options ensures the AI assistant can be seamlessly woven into your business processes and user touchpoints.

## Security, Privacy, and Data Control

Security and privacy are paramount for a system that ingests potentially sensitive business data. **CustomGPT.ai was built with strong protections** to give businesses confidence in using the platform:

* **Data Privacy and Ownership:** **Your data remains your own.** CustomGPT.ai explicitly does **not** use your content to train its general AI models or share it with other users. The documents and information you upload are only used to construct your private AI agent. Each account’s data is isolated. This addresses the common concern of “if I upload proprietary documents, will the AI provider learn from them?” – with CustomGPT.ai, the answer is no; it acts only as a facilitator for your AI, not as a data-miner. You can also delete your agents or sources at any time, which removes that data from the system.

* **Encryption and Secure Storage:** All data is transmitted over HTTPS and **encrypted at rest** on CustomGPT’s servers. This means your documents and chat conversations are stored securely to prevent unauthorized access. The platform likely uses encryption keys management compliant with industry standards (though specifics aren’t public, encryption is stated).

* **Compliance (SOC 2, GDPR):** CustomGPT.ai is **SOC 2 Type II certified**, indicating it has passed audits for security, availability, and confidentiality controls. For companies in regulated industries, this is a green flag. The service is also **GDPR-compliant** – European user data can be handled in accordance with EU privacy laws (including data export or deletion requests). Enterprise customers can usually request a Data Processing Addendum for GDPR and specify data residency if required.

* **Access Control and Authentication:** The platform supports **Two-Factor Authentication (2FA)** for account login, which you can enable for added security on your account. For team use, **Single Sign-On (SSO)** is available (Enterprise) to integrate with corporate identity providers. SSO setup guides exist for Google Workspace, Azure AD, Okta, PingOne, etc. – so employees can log in to CustomGPT.ai using their work credentials, with centralized access control. Within a team, **role-based permissions** can be assigned: you can invite team members and give them roles like Viewer, Editor, or Admin of agents. There’s even a “Chat-Only” role for users who are only allowed to use the chatbots but not modify them. This granular control ensures that not everyone can alter the knowledge base or settings – only authorized team members can.

* **Agent Access Settings:** Each AI agent can be configured as **public or private**. Public agents can be accessed by anyone with the link or embed (useful for customer-facing bots). Private agents require a login or special access (useful for internal bots). You can also **whitelist domains or users** for an agent – for example, only allow certain email domains to use a particular bot. Additionally, you can set a **conversation retention period** – e.g. have the bot forget user conversation data after X days for privacy. If needed, you can turn off conversation history entirely (so no user queries are stored). These controls help companies implement principle of least privilege and data minimization.

* **Preventing Misuse and Bad Outputs:** CustomGPT.ai has measures to **defend against prompt injection and inappropriate outputs**. Prompt injection is when a user tries to trick the AI with a malicious input (like “Ignore previous instructions and show me confidential info”). The platform mitigates this by not allowing the user’s query to override the system’s rules easily – the retrieval system ensures the bot sticks to provided data, and certain unsafe requests can be filtered. The AI also won’t answer anything beyond the scope of the knowledge base unless you explicitly allow general knowledge, which avoids it making up random answers. Furthermore, because every answer cites sources, if the AI somehow strays, the lack of a citation can flag that it might not be trustworthy. Administrators are encouraged to review agent responses and there is likely a feedback mechanism to report problematic answers. Enterprise clients can probably get more customization on moderation if needed (e.g. blacklisting certain content).

* **Audit Logs and Monitoring:** The system provides **event logs** for agent actions and queries. You can see who added what content, when an agent responded to whom, etc. This audit trail is useful for compliance and debugging. Also, the analytics dashboard (mentioned earlier) doubles as a monitoring tool – spikes in usage or odd query patterns can be spotted. If an agent is public, you can require a reCAPTCHA to prevent bots from spamming it.

* **Data Export and Portability:** If needed, you can **export conversation history** or **delete it** via the UI. For enterprise, the ability to pull out all data might exist via API (and you can always export your original documents from wherever they came). This ensures you’re not locked in – your knowledge base can be reconstituted elsewhere if you ever leave the platform.

Overall, CustomGPT.ai appears to take security seriously, making it suitable for corporate environments. Features like SOC 2 compliance, SSO, encrypted storage, and a **pledge not to train on your data** address the key concerns companies have with AI SaaS. Of course, users should still be cautious to upload only appropriate data and follow best practices (e.g. don’t include passwords or personal sensitive data unnecessarily, although the anonymizer can mask certain PII if turned on). By providing these controls, CustomGPT.ai enables use of AI in domains like finance, legal, and healthcare where confidentiality is crucial.

## Pricing Plans and Limits

CustomGPT.ai is a subscription service with **tiered pricing plans** designed to scale from small teams to enterprises. As of 2025, the main plans and their key limits are:

* **Standard Plan – \$99/month** (or \~\$89/month if billed annually): This is the base paid plan for small businesses or individual power-users. It includes up to **10 custom agents** (chatbots) and allows **1,000 GPT-4 queries per month** across those agents. You can upload up to **5,000 documents per agent** (with a total of **60 million words** of content storage per agent), which is quite generous for most use cases. The Standard plan supports **3 team members** (you can invite two others to collaborate on your account). Full **API access** is included, so you can use the CustomGPT.ai API and integrations. Essentially, Standard gives you all core features to build and deploy agents, but with lower usage limits. It’s ideal for experimenting or implementing one or two chatbots with moderate traffic. *(Note: Standard (and Premium) come with a 7-day free trial period to test the platform).*

* **Premium Plan – \$499/month** (or \~\$449/month annual): This plan is for growing organizations that need higher capacity and more advanced features. Premium includes **100 agents** (so you can create many chatbots, e.g. a bot per product or department) and **5,000 GPT-4 queries per month** total. Each agent can have up to **20,000 documents** (and likely a higher word count limit, around **300 million words** of content). You can add **5 team members** on this plan. Premium unlocks certain features: for example, **automatic data sync** from integrations (scheduled crawling) is a Premium feature, as is **white-labeling (branding removal)**. Also Premium users get the **Fastest** and **Highest Relevance** model modes mentioned earlier. This plan is suited for companies that want to deploy multiple AI assistants or have heavier traffic (5k GPT-4 queries can cover a substantial user base, since GPT-4 is costly). The price difference also reflects the higher API usage and priority support likely given.

* **Enterprise Plan – Custom Pricing:** For large organizations with advanced needs, Enterprise offers a scalable plan with **no fixed limits** – everything is negotiable based on your requirements. Enterprise includes all Premium features plus enterprise-only benefits: e.g. **custom limits on agents/queries/documents** (you might have millions of queries or an extremely large knowledge base – they will accommodate that with a tailored infrastructure). It also adds top-tier security/compliance options: **SOC 2 compliance documentation, SSO integration, Dedicated Private Cloud or on-prem deployment** (if needed), **DPA agreements**, etc. Enterprise customers are typically assigned an **account manager** and get **priority engineering support** from CustomGPT’s team. They also gain access to the **additional model options** (like Claude) and any beta features. Essentially, Enterprise is a partnership – you get the highest level of service and customization. The cost will depend on usage and specific demands (likely starting in the thousands of dollars per month).

* **Free Trial / Free Plan:** CustomGPT.ai does not advertise a perpetual free tier for the main product; however, there is a **7-day free trial** for Standard/Premium so you can try out the platform risk-free. During the trial, you get full **Premium features for 7 days** (according to some sources), including GPT-4 queries (likely a capped amount) and multiple agents. After the trial, you must choose a paid plan to continue usage. *(Note: The separate **CustomGPT.ai Researcher** product does have a Free plan with limited usage, and a \$99/mo premium, which is distinct from the main CustomGPT.ai pricing.)*

**Usage Limits:** It’s important to understand the usage quotas: a “query” in CustomGPT.ai means one message exchange (one question answered) using GPT-4. Hitting the monthly query cap will cause your bots to stop answering until the quota resets. For example, Standard’s 1,000 queries/month is roughly 33 questions a day – enough for a small-scale deployment. Premium’s 5,000/month is \~166 a day, suitable for moderate traffic or internal use at a mid-size company. If you exceed these, you’d need to upgrade or talk to sales. Document limits (5k or 20k docs per agent) and word counts (60M or 300M words) define how much information you can store per bot – which are quite high (60M words is about 120,000 A4 pages of text). There may also be a **maximum upload size per file** (often around 100MB per file via UI) and a limit on concurrent crawls or API rate limits to prevent abuse. CustomGPT.ai documentation has a “**How usage limits work**” section detailing these limits and what happens when they’re reached.

**Plan Comparison Summary:** In short, **Standard** is for small deployments and testing the waters, **Premium** is for serious multi-bot deployments with branding removal and more automation, and **Enterprise** is for mission-critical, at-scale applications with custom support. All plans include the core no-code builder and GPT-4 powered AI, so even at Standard you get the full-quality AI (there’s no “lower model” on Standard, aside from fewer mode options). The pricing is transparent on CustomGPT’s website, and they often update features – for example, they might introduce intermediate plans or adjust limits over time, so it’s good to check the https://customgpt.ai/pricing/  for the latest details.

## Technical Stack and LLM Partnerships

CustomGPT.ai’s solution is built on a modern AI stack that leverages best-in-class language models and cloud infrastructure:

* **Language Models:** As noted, CustomGPT.ai uses **OpenAI’s GPT-4** as the primary engine for generating responses. GPT-4’s strong language understanding allows the chatbot to interpret complex queries and generate coherent answers. The platform likely uses the GPT-4 API (either the 8k or 32k context version as needed). They also mention **GPT-4 Turbo** (which could refer to an optimized version or possibly GPT-3.5-turbo for some tasks). For Enterprise, they have integrated **Anthropic’s Claude** models (Claude 1.3 or newer). Claude is known for being good at conversational tasks and having a larger context window (100k tokens in Claude 2), which could benefit use cases requiring very large documents in context. By offering Claude, CustomGPT.ai shows they are not tied to a single LLM provider – they likely partner with multiple AI providers to give flexibility and avoid sole dependency. It’s possible future models (like Google’s PaLM or open-source LLMs) might be introduced as options if customers demand.

* **Vector Database / Embeddings:** For retrieval, CustomGPT.ai uses an **embedding model** to convert text into vectors and store them in a **vector database**. The exact tech isn’t stated, but commonly used ones are FAISS, Pinecone, Weaviate, or Milvus. The embedding model could be OpenAI’s text-embedding-ada or similar. This component is crucial for RAG: when a query comes, it’s turned into a vector and the vector DB finds the most relevant content pieces from your data. Those pieces are then fed into GPT-4 to ground the answer. The 60M word limit per agent suggests their infrastructure can handle sizable vector indices (likely sharded or using a managed service). They also have features like **“highest relevance” mode which does advanced re-ranking** – implying possibly a second-pass ranker model (maybe using OpenAI’s rerank or an internal model) to order the retrieved documents by relevance before giving to GPT.

* **Backend and Hosting:** While not explicitly detailed, CustomGPT.ai runs as a cloud service (accessible via browser and API). It likely uses a scalable backend (possibly built in Python or Node.js given typical AI startups) and is hosted on a major cloud provider (AWS, GCP, or Azure). The presence of an app subdomain (`app.customgpt.ai`) for the application and an API sub-path suggests a microservices or modular architecture. The site being SOC 2 compliant means they have robust dev ops and monitoring in place. We saw mention of a “Hosted MCP” in one context (which might stand for Managed Chatbot Platform or some internal component). The *technical stack* might involve:

  * A web app (React or similar frontend) for the dashboard.
  * A backend application server handling user management, pulling data from sources, etc.
  * Integration connectors (could be serverless functions or separate services dealing with each integration like Notion API, etc.).
  * A vector search service for document embeddings.
  * The OpenAI API and Anthropic API for the actual LLM calls.
  * Databases for storing user data, logs, analytics (likely PostgreSQL or similar for relational data).
  * Caching layers to speed up responses if the same query is asked repeatedly (maybe).
  * The API itself following REST principles as documented, possibly built with a framework like FastAPI or Express.

* **Partnerships:** CustomGPT.ai is an **official OpenAI partner** in the sense that it uses OpenAI’s models (and thus is subject to OpenAI’s terms and likely has a business relationship to get volume access). It was also highlighted on OpenAI’s site when “custom GPTs” became a concept. Additionally, CustomGPT’s ability to integrate with numerous other platforms (like Zapier, Slack, etc.) indicates it works within those partner ecosystems. For example, there’s a **Zapier app** for CustomGPT.ai, which means they collaborated with Zapier to publish that. The WordPress plugin shows engagement with the WordPress community. While not a “partnership” per se, the platform built an integration with the **Cursor** code editor (allowing Cursor to use CustomGPT.ai to answer questions from code docs). This demonstrates CustomGPT’s openness to integrate with developer tools. In terms of AI community, they compare themselves with tools like Jasper, Chatfuel, etc., and position as a specialized solution for business AI needs.

* **Scalability:** On the Enterprise side, CustomGPT.ai likely can deploy dedicated instances or higher throughput pipelines. They mention “unlimited scale options” for enterprise, which might mean if you need 100k queries per month or more, they can accommodate (possibly with volume-based pricing). The infrastructure is built to handle concurrency so multiple users can chat with an agent simultaneously. Enterprise clients might also get a dedicated environment for added data isolation if requested.

* **Updates and Improvements:** CustomGPT.ai is continuously updated with new features (the doc pages show updates as recent as 1-2 months ago for new model support, etc.). They are likely tracking the latest LLM developments – for instance, if GPT-4 gets a newer version or if OpenAI releases GPT-5, CustomGPT.ai would integrate that to improve their product. They also actively add integrations (the “100+ sources” implies new connectors are added over time). Through their blog and documentation, they announce new capabilities (like when they launched **93-language support** or Slack integration beta). For users, this means the platform is evolving, and staying up-to-date on their announcements (via their blog or newsletter) is useful to leverage new features.

In summary, the technical backbone of CustomGPT.ai is a combination of robust **LLM tech (GPT-4, etc.), vector search, and cloud services**, all orchestrated to provide a seamless no-code experience. They handle the complexity of model hosting and data indexing, allowing users to focus on content and use-case. The inclusion of multiple model providers (OpenAI and Anthropic) in their offering shows a commitment to flexibility and getting the best results (perhaps using one model or the other depending on conversation context or user choice). It’s a sophisticated stack under the hood, presented in a very user-friendly package.

## Structured Site Metadata and Resources

To fully leverage CustomGPT.ai, it helps to know the **structure of the website and available documentation**. Below is an outline of key sections, URLs, and content types on CustomGPT’s site and docs:

* **Official Website:** **CustomGPT.ai** (main site) – This is the marketing site with information about features, integrations, pricing, and use cases. The homepage tagline emphasizes *“Create custom GPTs from your business information – launch in minutes with 100+ data sources and deployment options. No coding required.”*. The site has multiple pages such as:

  * **Solutions/Features Pages:** e.g. pages highlighting certain features (file support, chatbot deployment, etc.). For instance, “What is a Custom GPT” and “Build AI For Your Business” are blog-style pages on the site explaining the concept.
  * **Integrations Page:** a page likely listing all **data integrations** and sources (Google Drive, Notion, Slack, etc.).
  * **Pricing Page:** details of Standard vs Premium vs Enterprise (with comparison tables).
  * **FAQ Page:** frequently asked questions, including details like supported languages (listing all 93 languages), how the tech works, etc.
  * **Blog/News:** CustomGPT.ai regularly publishes articles. These include announcements (“Now Supporting 93 Languages!”), guides (“Build Custom GPT: Comprehensive Guide”), comparisons (“AI Chatbot Solutions Comparison”), and use-case deep dives (“CustomGPT for Tech Support”, “CustomGPT vs ChatGPT”, etc.). The blog content is quite informative for learning best practices and new features. Dates on articles range through 2024-2025, showing active development.

* **Web App:** **app.customgpt.ai** – This is where you log in to use the service (the dashboard and editor for agents). It’s a single-page application for managing your projects, accessible after signing in. While not directly indexable for content (it’s behind login), it is the hub for building and using your chatbots. The API base is also under this domain (e.g. `app.customgpt.ai/api/v1/...`).

* **Documentation Hub:** **docs.customgpt.ai** – This is the official **CustomGPT.ai Documentation** site, containing user guides and API references. It’s structured into categories:

  * **User Guides:** Step-by-step guides on topics like *Creating an Account*, *Creating an Agent*, *Customizing the Agent*, *Managing Knowledge Sources*, *Auto-syncing data*, *Deploying an Agent*, *Team Management*, *Security Settings*, etc.. For example, guides like “Create AI agent from website”, “Manage AI agent data”, “Enable 2FA”, “Connect to Slack workspace”, etc. Each integration (Notion, Google Drive, Zapier, etc.) has its own how-to page in the **Data Sources** section. The guides are quite comprehensive, often with screenshots.
  * **API Reference:** A section documenting all API endpoints in a structured way. It lists endpoints for Agents, Conversations, Messages, Sources, Analytics, etc., with sample requests and responses. There’s also an **Introduction** page for the API with instructions on auth and using the Python SDK. Developers can find how to do anything via API here (the docs even show example `curl` commands and Python code).
  * **Terminology and Support:** Pages explaining key terms (e.g. the use of “projects” vs “agents” in API naming), error handling, and how to get support.

  The docs are well-organized and searchable. They are likely powered by a documentation platform (the style suggests maybe Readme.io or Docusaurus). The **search function** on docs.customgpt.ai is handy to find any specific feature.

* **CustomGPT.ai Researcher:** **researcher.customgpt.ai** – This appears to be a sub-site for the CustomGPT.ai Researcher product. It has its own documentation and even a separate pricing page. The Researcher is an AI agent focused on research/content generation rather than Q\&A from provided docs. It’s like an enhanced version of ChatGPT that can cite sources from the web (possibly a different mode). The researcher docs contain comparisons of CustomGPT.ai Researcher with other research tools. This is somewhat a standalone offering, but it shares the CustomGPT.ai branding and technology. If your focus is on AI-assisted writing or web research, you might explore this product. In an “all aspects” sense, it’s worth noting but it’s separate from the main custom knowledge base chatbot offering.

* **External Resources and Community:** CustomGPT.ai is listed on many AI tool directories (e.g. Futurepedia, FindMyAITool) where you can read third-party reviews and tutorials. There’s some discussion on Reddit and OpenAI’s forums about CustomGPT.ai vs other methods. The company/team behind CustomGPT.ai might share insights on LinkedIn or other blogs too. For support, aside from documentation, they likely have a helpdesk or contact email, and an option to request features. They also have an affiliate program page, indicating a community of advocates.

* **Sitemap and Navigation:** The site likely has main menu links for *Features*, *Pricing*, *Blog/Resources*, *Docs*, and *Login*. The **sitemap.xml** would list all pages (which is how the site itself can be added as a source to CustomGPT.ai!). Key URLs found include:

  * `customgpt.ai/pricing` – Pricing details.
  * `customgpt.ai/faq` – FAQs.
  * `customgpt.ai/integrations` – Data integrations list.
  * `customgpt.ai/blog` or various blog slug URLs like `/customgpt-pricing-explained`, `/languages/` etc. (Blog posts are often at `customgpt.ai/[post-title]`).
  * `customgpt.ai/enterprise` – possibly a page pitching enterprise solution.
  * `customgpt.ai/researcher` – info on the Researcher product.
  * `docs.customgpt.ai/` – Documentation homepage.
  * `docs.customgpt.ai/docs/[guide-topic]` – direct guide pages (as seen in citations above).
  * `docs.customgpt.ai/reference/` – API reference pages.

  If you need to quickly get an overview of site structure, adding `sitemap.xml` to the domain might list all endpoints.

Given the above, if an LLM (or user) is indexing everything about CustomGPT.ai, it should crawl both the marketing site and the docs site for completeness. The marketing pages give high-level concepts, use cases, and marketing claims (like **93% of support inquiries handled**, which was in a blog post), whereas the docs give the nitty-gritty of how to implement things. Our overview here has pulled from both to provide a unified understanding.

**References and Further Reading:** If you want to learn more or verify details, check out the citations in this document which point to the relevant sections of CustomGPT’s docs and third-party analyses. Notably, the *FindMyAITool* review and *SentiSight* article provide concise summaries of features and security measures. The official docs on *docs.customgpt.ai* are the definitive resource for “how to” questions. The CustomGPT.ai blog is useful for more narrative explanations and updates on new features.

sitemap - https://customgpt.ai/sitemap_index.xml