Short Answer:
You can connect content from HubSpot to your chatbot by using HubSpot’s APIs to pull articles, blog posts or knowledge-base pages; mapping that content into your chatbot’s knowledge store; and automating updates so the bot always uses current info. Then you can optionally use CustomGPT.ai to simplify the process with built-in integration.
Connect HubSpot content via API
Obtain HubSpot API credentials
First, in your HubSpot account, generate access credentials (a private app token or API key) with permission to read the content you plan to use. This ensures your chatbot can fetch pages, articles or knowledge-base items. HubSpot’s official docs show how to connect HubSpot, authenticate, and set the correct scopes.
Retrieve content types (knowledge base, CMS, blog) via HubSpot API
Once authenticated, identify the endpoints you need—for example, the Knowledge Base API to list articles or the CMS/Blog API to fetch posts and metadata. Pull the title, body, tags, publish date, URL, and any other references you want your chatbot to cite.
Map HubSpot content into your chatbot’s knowledge store
Ingest the retrieved content into your chatbot’s knowledge repository. Normalize fields (title, summary, body, URLs) so the system can search and reference them. Build indexing rules so the bot knows which items match which topics.
For example: if a user asks “How do I reset my password?” the bot should search the ingested KB items and surface the relevant HubSpot article.
Connect HubSpot website/blog content
Use HubSpot CMS/blog endpoints
If you also want your chatbot to reference website or blog material, use the CMS or blog endpoints to pull page lists and content. HubSpot’s “Domains & URLs” settings show which pages are published and which belong to the blog vs. landing-page sections.
Handle structured vs unstructured fields (articles, landing pages)
Website content often includes structured metadata (author, publish date, tags) and unstructured body text. Extract both when ingesting so your bot can answer questions such as “Which blog covers product features?” or “When was this article published?”
Consider sitemap or domain-scanning for content ingestion
If there are many pages, use a sitemap or domain scan to automate ingestion. Pull URLs, filter by domain/path (e.g., /blog/), and ingest them regularly so new content is never missed.
Manage updates and sync schedules
Incremental sync strategies (changed/added content)
Periodically re-pull HubSpot content—nightly or hourly depending on scale. Use endpoints that include “modified since” timestamps or check for updates within your CMS. This ensures freshness.
Handle deletions and content versioning
If content is removed or unpublished in HubSpot, your chatbot should either mark it deprecated or remove it from the knowledge store. Track version data so outdated pages aren’t cited.
Respect API limits, data quality, and permissions
HubSpot imposes rate limits and usage caps. (HubSpot Knowledge Base) Ensure ingested content is accurate and up-to-date, since your chatbot’s output relies on content quality.
How to do it with CustomGPT.ai
Add HubSpot as a data source in CustomGPT.ai
Log into your CustomGPT.ai dashboard. Navigate to Knowledge Bases → Connect to HubSpot. Follow the prompts: choose your primary domains, select which sections you want (Knowledge Base, Blog, Website Pages), and click Connect to HubSpot.
Configure domain(s)/sitemaps and auto-sync with HubSpot content
In your HubSpot settings (Content → Domains & URLs), confirm that the domains you want the bot to read (e.g., a KB domain or blog domain) are listed. In your agent configuration, enter those domains, set an auto-sync schedule (hourly/daily), and let updates flow into the knowledge base automatically.
Deploy your CustomGPT agent and embed in a chat interface
Once ingestion is complete and the agent has indexed the content, open the deployment section, choose Share/Embed, and copy the embed code. Insert that widget (iframe or script) on your site or within HubSpot pages. Your chatbot will now reply using HubSpot-sourced material.
Example — Syncing HubSpot KB into a chatbot
Imagine you run a support site in HubSpot with a Knowledge Base located at kb.mycompany.com.
- In HubSpot: Go to Settings → Content → Domains & URLs, locate the KB domain, and add any extra landing pages to the sitemap if needed.
- In your AI project: Create a new agent called SupportBot, connect HubSpot as a data source, enter kb.mycompany.com, select the Knowledge Base section, and establish the connection.
- Enable a daily auto-sync so new support articles are pulled in overnight.
- Deploy the agent by embedding the chat widget on your support homepage.
- Now when someone asks “How do I reset my password?”, SupportBot searches the ingested KB material, identifies the correct article, and responds with a summary plus a link to the published page.
- If you publish a new “Password recovery” article tomorrow, the auto-sync imports it automatically and the bot begins citing the updated version without manual intervention.
- This keeps your chatbot aligned with your live HubSpot content at all times.
Conclusion
Connecting HubSpot content to your chatbot is really a choice between owning a custom API pipeline (and its ongoing sync logic) or delegating that complexity to a managed connector.
CustomGPT.ai lets you plug in HubSpot as a data source, point it at your KB/blog domains, and keep everything auto-synced so your embedded agent always answers with the latest articles. Log into your dashboard, connect your HubSpot domain, and test a live agent on your own content in a few minutes.