CustomGPT for customer-facing chatbots.docAnalyzer for the work behind them.
CustomGPT deploys a chatbot trained on your docs, fast. docAnalyzer ships chatbots too, plus the practitioner workflows, batch operations, and Co-work canvas that produce the docs the chatbot is built on. One tool for both audiences.
No credit card. Both audiences covered in one workspace.
Customer-facing chatbots are one piece of the document problem.
CustomGPT is built for one shape: train an outbound chatbot on your help center and support docs, embed it on your site, let customers ask questions. That works, and docAnalyzer does it too.
What CustomGPT doesn't address is the inbound side: your team running batch analysis across vendor contracts, drafting new policies in a canvas editor, extracting structured fields from RFP responses. The work the chatbot is built on. If you only need the customer-facing chatbot, CustomGPT is the simpler tool. If you need both, the integrated workspace is.
CustomGPT
docAnalyzer
Customer-facing chatbots
The core use case. Easy widget embedding, branded UI, trained on your docs.
Embed branded Chatbots on your site, backed by a label of documents. Parity for the core chatbot use case.
Practitioner workflows
Not the use case. CustomGPT is built for outbound chatbots, not inbound team work.
Three chat modes (Ask, Focus, Co-work) for team document work: different shape from the customer-facing chatbot.
Batch operations
Not supported. Conversational only.
Six workflows (Summarizer, Data Extractor, Individual, Blueprint, SEO Metadata, Humanizer) run across every source in a dataset.
Co-work (drafting alongside AI)
Not supported.
Canvas editor where the AI drafts new policies, onboarding docs, contracts alongside you, with citations attached.
Citation discipline (for team use)
Citation infrastructure scoped to customer chat answers.
Cited claims are clickable references that open the source at the exact page or section: the same discipline whether the asker is a customer or your team.
In their own words
“I use docAnalyzer every damn day, to compare résumés to job postings, review contracts, ask questions about terms of service, summarize, and a lot more.”
Aaron Freed, CEO recruitingguy.com (Product Hunt)
What CustomGPT users push on hardest.
We want a customer-facing chatbot, not a research workspace.
docAnalyzer ships embeddable Chatbots too: branded, label-backed, with the same widget embedding pattern. The workspace exists in addition. If you only ever need the chatbot, the workspace is just there if you want it.
CustomGPT is simpler to deploy.
For a one-time chatbot deployment, possibly. If the chatbot is one of several things you want from your AI-for-docs tool (and most teams have a few) the integrated workspace removes the tool-stack tax.
Our customers ask basic questions. We don't need the heavy machinery.
For the chatbot side, you don't. docAnalyzer's chatbot doesn't expose the workspace heavy machinery to your end users: they get the clean question-and-answer experience CustomGPT also offers. The heavy machinery is for your team.
CustomGPT is priced for mid-market chatbot deployment. We don't want a heavier bill for a tool that also has to cover team work.
docAnalyzer's tiers are structured for both audiences in one workspace: the chatbot use case CustomGPT prices for, plus the practitioner workflows it doesn't, without paying for a second tool. Compare on /pricing.
Frequently Asked Questions
Can I still embed a chatbot on my website?
Yes. You can publish a branded chatbot backed by a label of documents and embed it on your site, which is parity with what CustomGPT is built for. The difference is what comes with it.
What do I get beyond the customer-facing chatbot?
Three chat modes for your own team's work: Ask for quick questions, Focus for digging into a chosen set of documents, and Co-work for drafting alongside the AI. CustomGPT is built for outbound chatbots, so inbound team work is not the shape it takes.
Can the AI help me write the documents, not just answer from them?
Yes. Co-work is a canvas editor where the assistant drafts and refines a policy, onboarding doc or contract next to you, attaching citations to your existing sources as you write. There is no equivalent in CustomGPT.
Can I run one task across every document at once?
Yes. Six workflows (Summarizer, Data Extractor, Individual, Blueprint, SEO Metadata, Humanizer) run across every source in a dataset and return a structured result. CustomGPT is conversational only.
Do citations work for internal use too?
Yes, and it is the same discipline on both sides. Cited claims are clickable references that open the source at the exact page or section, whether the answer went to a customer through the chatbot or to a colleague in chat.
How large can a document be?
Between 20 MB and 500 MB per file depending on your plan, with per-seat storage from 100 MB up to 50 GB. Fifteen formats are accepted, including PDF, DOCX, PPTX, XLSX, EPUB, ODT, RTF, HTML and plain text. The compare plans page lists the figure for each tier.
Are my documents used to train AI models?
No, on every plan including the free one. Documents are encrypted at rest with AES-256, isolated per tenant by row-level security, and deleted when you delete them. The security page sets out who processes what and where.