Webflow AEO Analytics now covers Claude and Gemini: your brand's AI visibility, finally in full view

What Webflow just changed

Until now, Webflow AEO Analytics (available to Analyze for Enterprise customers) gave you a visibility score based on ChatGPT responses alone. Useful, but partial. Because your brand doesn't speak the same language to every AI model.

Webflow is fixing that with two concrete additions:

• Your tracked prompts now run on Claude and Gemini, alongside ChatGPT
• You can filter your AI Discovery dashboard by model, to compare coverage from one LLM to another
• A "full response" view shows the exact verbatim from each AI, for every prompt, day by day

In practice, you're no longer just reading "your brand is mentioned in 12% of responses." You're reading what the AI actually says, word for word. You can see where it positions you, how it describes you, and above all, who it cites in your place when you're missing from the answer.

Why this detail changes everything

A visibility score on its own is a compass with no map. It tells you there's a problem, but not where it is or why. The full response view gives you the context: the tone used, your brand's ranking within the answer, the competitors mentioned instead of you.

And Webflow isn't stopping there: MCP and API access has already been announced for the next phase, so you can plug your own analysis tools (sentiment, accuracy checks) directly into this data, across all your tracked prompts and topics.

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Update: Webflow AEO Analytics adds Perplexity to visibility tracking

A new building block in Webflow's AEO radar

Webflow has just expanded its AEO Analytics module. Until now, the tool tracked your brand visibility on ChatGPT, Gemini and Claude. Perplexity now joins the list. In practice, your tracked prompts are now tested across these four AI answer engines, with a dashboard you can filter by model.

The idea behind this update: your brand does not behave the same way depending on which AI you ask. Well-structured content can be cited repeatedly by Perplexity and be completely invisible on ChatGPT. Without consolidated data, there is no way to know. That is exactly what Webflow AEO Analytics now fixes.

What this actually changes for you

With this extension, you get a more precise map of your presence in AI-generated answers. You can spot the gaps between models, identify where your content performs well and where it deserves to be reworked.

• Consolidated tracking across 4 major AI engines: ChatGPT, Gemini, Claude and Perplexity
• Filter the AI Discovery dashboard by model to compare results
• Detect coverage gaps between the different AI engines
• A solid basis for prioritizing your content optimizations by platform

What comes next?

Webflow has already announced it is working on MCP and API access to the full response data. The goal: letting you tap into this data with your own AI tools, for deeper analysis such as sentiment or accuracy checks, at scale across all your prompts.

Mazette.co's take

Great news, and not just a cosmetic update. Here's why.

Every generative AI builds its own view of the world from different sources and different weightings. A brand that's highly visible on ChatGPT can be completely absent from Claude's or Gemini's answers. Relying on a single model means flying blind over two-thirds of the landscape.

What we particularly like is the full response view. A numerical score, however elegant, never tells you why. Being able to read the exact verbatim turns an abstract metric into a real action plan: which content to strengthen, which page to create, which angle to fix so the AI cites you correctly.

One catch, unsurprisingly: this feature remains exclusive to the Analyze for Enterprise plan. A logical call from a business standpoint, but one that leaves smaller marketing teams out in the cold, even though they're just as concerned about their visibility in AI responses.

For brands that have already invested in AEO, this update confirms one thing: Webflow isn't treating this as a marketing gimmick, but as a genuine strategic focus, with a roadmap that keeps expanding (MCP, API, multi-LLM support). This is exactly the kind of signal that reinforces what we at Mazette.co already believe: AI visibility now has to be part of any serious content strategy.