How do I Connect an RSS Feed to a Chatbot?

You usually can’t plug an RSS feed directly into a chatbot. Instead, generate a sitemap from the RSS feed, add it as a data source to your chatbot, and use auto-sync or automations to keep the bot’s knowledge updated.

Scope:
Last updated: December 2025. Applies globally; ensure your RSS content and chatbot usage comply with local privacy and data laws such as GDPR in the EU and CCPA/CPRA in California.

What an RSS-powered chatbot is

What is an RSS feed?

An RSS feed is a small XML file that lists recent updates from a site—typically headlines, links, summaries, and dates for blog posts, news, or podcast episodes. It’s designed so software can detect new content without you manually checking each website. 

Each feed has channel-level info (site title, description, link) and item-level entries (individual posts or episodes). Those items usually include at least a title, URL, and short description, sometimes with publication dates and media enclosures. 

How chatbots can use RSS content

Most chatbots don’t “understand” RSS as a format. Instead, they use the web pages, show-notes, or documents linked from that RSS feed as their knowledge base. The RSS feed effectively becomes a pointer to the latest content that should be crawled or ingested. 

In practice, you either:

• Feed the chatbot a sitemap that lists all these URLs, or
• Use automations (e.g., Zapier) that watch the RSS feed and send the linked content into your chatbot platform as it appears.

Common use cases and limitations

Typical RSS-powered chatbot use cases include:

• A news assistant that answers questions about recent articles.
• A blog or docs helper that always knows your latest posts.
• A podcast chatbot that can summarize or search across new episodes’ show notes. 

Limitations:

• Not every site exposes a usable RSS feed.
• Some feeds include only snippets, so you still need the full article pages for good answers.
• If your site is fairly static, RSS might be unnecessary overhead compared with directly indexing pages or files.

Why you might connect RSS to a chatbot

RSS gives you a structured, machine-readable stream of updates. When you subscribe to a feed, you get notified of new content without polling the website manually, and software can treat that feed as an authoritative list of what’s new. 

Hooking this into a chatbot means:

• Freshness – your bot knows about new posts soon after they publish.
• Coverage – frequent updates (news, releases, podcasts) are captured without manual copy-paste.
• Less maintenance – instead of constantly re-uploading files or URLs, the feed acts as the source of truth. 

RSS is most useful when your content is:

• Published in discrete entries (posts, episodes, updates).
• Updated regularly (daily/weekly).
• Intended for subscribers—exactly what RSS was built for. 

How to do it with CustomGPT.ai

This section walks through connecting an RSS feed to a chatbot specifically using CustomGPT.ai, using only documented capabilities.

Step 1 — Collect your RSS feed URL

First, locate the RSS feed for your blog, news site, or podcast. Many sites expose an orange RSS icon or links like /feed or /rss.xml. If necessary, your CMS or podcast host docs will show where to find the feed URL. 

Step 2 — Turn the RSS feed into a sitemap

There is no built-in CustomGPT.ai tool for generating a sitemap from an RSS feed. Users should use external tools to convert RSS feeds to sitemaps before adding them to CustomGPT.ai:

1. Sign in to your CustomGPT.ai account.
2. Open the “Create a sitemap for RSS feed” guide and launch the RSS sitemap generator.
3. Paste your RSS feed URL into the tool and click Generate Sitemap.
4. Copy the generated sitemap URL. 

The docs explicitly note that this sitemap can then be used to create a new agent or update an existing one, so it becomes the bridge between your RSS feed and the chatbot’s index. 

Step 3 — Create a new agent from the RSS-based sitemap

To build a brand-new RSS-powered chatbot:

1. On your CustomGPT dashboard, click New Agent.
2. Choose a Website as the source.
3. In Enter a URL or sitemap, paste the sitemap URL you generated from the RSS feed.
4. Click Create Agent.

CustomGPT will crawl all accessible pages in that sitemap and use them to build your agent’s knowledge base. 

Step 4 — Add the sitemap to an existing agent

If you already have an agent and simply want it to “learn” from your feed:

1. Go to Manage AI agent data for that agent.
2. Add a new Website / Sitemap source.
3. Paste the RSS-derived sitemap URL.
4. Save and let CustomGPT index the new source. 

The Manage AI agent data guide confirms you can add and manage websites and sitemaps as ongoing data sources for your agent. 

Step 5 — Test your RSS-powered chatbot

Once indexing completes, ask the agent questions like:

• “What’s the latest post about?”
• “Summarize the most recent three articles.”
• “What did we publish last week?”

Because the sitemap came from your RSS feed, the indexed pages should reflect the entries in that feed.

Keep your CustomGPT.ai chatbot automatically updated from RSS

Once the RSS-based sitemap is connected, you want your agent to stay in sync as new items appear.

Use auto-sync for websites and sitemaps

CustomGPT’s docs highlight that you can enable auto-sync for websites and sitemaps, allowing the platform to periodically refresh those sources without manual clicks. 

That means:

• Your RSS-derived sitemap is re-crawled automatically on a schedule.
• Newly listed pages in the feed become new pages in the sitemap, which are indexed into the agent.

You can combine this with the usual data-management controls in Manage AI agent data when you want to manually re-run indexing or adjust sources. 

Add automation with Zapier 

If you want more complex flows (notifications, enrichment, or triggering conversations), CustomGPT has an official Zapier integration. 

A common pattern:

1. RSS app in Zapier watches your feed and fires when a new item appears. 
2. Zapier then calls CustomGPT actions—like starting a new conversation or sending a message to your agent—using the CustomGPT Zapier app. 

For example, each time a new article is published, your Zap could:

• Ask the agent for a short summary via the Send Message action. 
• Post that summary to Slack, email, or another channel—while your agent also remains updated via its sitemap/auto-sync.

Advanced: programmatic control via API

If you’re comfortable with code, the CustomGPT RAG API lets you manage projects and conversations directly:

• Use the API to create or manage agents that rely on your RSS-based sitemap as a data source. 
• Combine that with an external scheduler or serverless function that regenerates the sitemap from RSS and triggers a re-sync when needed.

The API docs recommend using authenticated REST calls to manage projects, sources, and conversations, which fits nicely with more advanced RSS pipelines. 

Example — news chatbot powered by RSS and CustomGPT.ai

Let’s walk through a concrete scenario: you run a company news blog and want a chatbot that always knows the latest posts.

1. Get your RSS feed

Your blog (e.g., on WordPress or another CMS) exposes a feed like https://example.com/feed. You copy that RSS URL. 

2. Generate a sitemap from the RSS feed

In CustomGPT:

1. Open the “Create a sitemap from RSS feed” guide.
2. Launch the RSS sitemap tool.
3. Paste https://example.com/feed and click Generate Sitemap.
4. Copy the generated sitemap URL, e.g., https://customgpt-sitemaps.com/xyz.xml. 

3. Build or update your agent

Option A – New agent

• Click New Agent → Website.
• Paste the sitemap URL in the URL or sitemap field.
• Click Create Agent and wait for indexing to complete. 

Option B – Add to an existing agent

• Open Manage AI agent data.
• Add a new Website/Sitemap source with the same URL. 

4. Keep it fresh

You then:

• Enable auto-sync for websites and sitemaps so the sitemap is refreshed on a schedule. 
• Optionally create a Zapier workflow: RSS → CustomGPT “Send Message” to generate summaries, which you forward to Slack or email. 

Whenever a new article is published:

• The RSS feed lists it.
• The sitemap generator captures it.
• CustomGPT indexes the new page.

Your chatbot can now answer questions like “What’s the latest news?” or “Summarize yesterday’s announcement” based on up-to-date blog content.

Conclusion

Staying on top of constant content updates without drowning in manual maintenance is the real tradeoff behind RSS-powered chatbots. customgpt.ai bridges that gap by turning RSS feeds into sitemaps, auto-syncing your website content, and plugging into tools like Zapier so your assistant is always current without extra work. If you’re ready to turn your feed into a living, always-on assistant, get started with customgpt.ai for RSS-powered chatbots today.

FAQ’s

How do I connect an RSS feed to a chatbot using CustomGPT.ai?

You connect an RSS feed to a chatbot in CustomGPT.ai by first generating a sitemap from your RSS URL, then using that sitemap as a website source. You can either create a new agent from this sitemap or add it as a data source to an existing agent. Once indexed, the chatbot can answer questions based on the content referenced by your RSS feed.

How can I keep my RSS-powered CustomGPT.ai chatbot automatically updated?

To keep an RSS-powered CustomGPT.ai chatbot updated, enable auto-sync for your website or sitemap source so it refreshes on a schedule. For more advanced workflows, you can use the CustomGPT.ai Zapier integration to trigger summaries or notifications whenever new items appear in the RSS feed. Together, these options keep your chatbot aligned with the latest content without manual maintenance.