Your Brand Is Now Being Judged by Three Different AIs: Webflow's Multi-Model AEO Tells You What They're Saying
Webflow AEO now tracks your brand across ChatGPT, Claude, and Gemini. Here's what multi-model tracking means and how to make your site AI-readable.

Table of Contents
If you Google your company right now, you probably know roughly where you rank. You might even know which keywords drive traffic and which pages convert. That's the SEO playbook you've been running for a decade.
Here's the problem: your customers aren't Googling you any more. They're asking ChatGPT. They're asking Claude. They're asking Gemini. And until about a week ago, you had no idea what those AIs were saying about your brand.
On July 10, Webflow updated its AEO (Answer Engine Optimisation) platform to track your brand's appearance across all three major AI models: ChatGPT, Claude, and Gemini. Before this update, AEO Analytics only covered ChatGPT. Now you can see whether Claude describes your product accurately or whether Gemini cites your competitor instead of you, and how those answers change over time.
This is the single most important shift in digital brand management since Google launched AdWords. And most no-code builders haven't noticed yet.
TL;DR: Webflow AEO now tracks how your brand appears across ChatGPT, Claude, and Gemini. Combined with Columbia University's finding that 60% of AI answers cite wrong sources and Bain's data showing SEO traffic down 15-25%, the message is clear: your brand is being described by AIs you can't control, and the tools for monitoring that have just matured. Here's what AEO is, how multi-model tracking works, and what no-code builders should do NOW to ensure their sites are AI-readable.
What AEO actually is (and why it's replacing SEO)
Let's define terms, because AEO is new enough that most people use it interchangeably with SEO. It's not the same thing.
SEO optimises for search engines. You target keywords. You build backlinks. You optimise page speed and meta tags. The goal is to rank higher in Google results. When someone clicks your link, SEO has done its job.
AEO optimises for answer engines. When someone asks ChatGPT "what's the best project management tool for remote teams?" or asks Claude to compare three CRM platforms, the AI doesn't return a page of links. It returns an answer. Your brand either appears in that answer, cited and described accurately, or it doesn't. There is no second page of results. You're either in the answer or you're invisible.
The numbers make this urgent. Columbia University research found that 60% of AI answers cite the wrong source or misrepresent brand information. Bain & Company reports that SEO traffic is down 15-25% across industries. Webflow's own survey found that 52% of marketing leaders will optimise for AI-driven search in 2026. This isn't a future trend. It's the current state of play.
How multi-model tracking actually works
Webflow's AEO analytics platform, built into Webflow Analyze (available on Enterprise plans), works through three perspectives.
Prompt insights runs prompts you configure through ChatGPT, Claude, and Gemini and measures your organisation's presence in the responses. Two scores summarise the results: visibility score (how often you appear) and citation rate (how often your domain is cited when citations appear).
LLM bot insights tracks the AI crawlers behind these models as they visit your site. Most AI crawlers don't behave like human visitors or run client-side tracking, so traditional analytics filter them out. Webflow uses server log data to surface which bots visit, which pages they focus on, and how crawl patterns change when you update content.
AI-referred visitor analytics shows how visitors who arrived from AI tools engage with your site, with a Generative AI traffic source filter to isolate sessions that started with someone asking an AI a question.
None of this requires data expertise or instrumentation. Webflow owns the hosting layer, so it surfaces bot activity without extra scripts.
The competitive landscape
AEO tooling is still nascent. HubSpot has an AEO offering inside its CMS. Adobe has an LLM Optimizer in the Experience Cloud. Standalone tools like Profound and BrightEdge offer AI search monitoring.
What differentiates Webflow's approach is the closed loop. It doesn't just tell you that Claude is ignoring your brand. It surfaces prioritised recommendations through AEO agents: broken links, missing schema markup, outdated metadata. And because Webflow is the CMS, those agents can prepare changes for bulk review and publish directly.
The downsides are real. It's Enterprise-only, requiring the latest version of Analyze. AEO agents consume AI credits when they run. And the visibility score counts any mention, so a brand named prominently and one buried at the bottom of a long answer weigh the same.
What no-code builders should do RIGHT NOW
You don't need Webflow Enterprise to start preparing your sites for AI-driven discovery. Here's what matters, regardless of platform.
Structured data is the new SEO. Schema.org markup tells AI models what your content is about in a language they understand natively. If you're on Webflow, this is built in. If you're not, add it via custom code. 88% of sites still haven't implemented schema.org. That's an enormous competitive gap waiting to be exploited.
llms.txt is the new robots.txt. The llms.txt standard tells language models which pages to index and how to interpret your content. Generate one for your site. It takes ten minutes. Webflow sites get this automatically. If your platform doesn't support it, add it manually.
Fix your metadata now, not later. Page titles, meta descriptions, and alt text on images are the signals AI models use to understand your pages. If your blog posts from 2023 still have placeholder titles, Claude is going to describe your brand based on incomplete information.
Monitor what the AIs actually say. Go to ChatGPT, Claude, and Gemini. Ask them about your company, your product category, your competitors. Note what they get right and wrong. This is the cheapest AEO audit available, and it takes fifteen minutes. Do it monthly.
Build your content for answers, not keywords. AI answer engines don't care about keyword density. They care about whether your content actually answers the question someone asked. Write for clarity, structure, and comprehensiveness. Answer real questions completely. This isn't a new skill. It's good writing. But most marketing content still optimises for Google's algorithm rather than a reader's understanding.
Where no-code platforms have a structural advantage
There's a quiet insight here that favours structured no-code platforms over raw-code approaches.
Webflow generates clean semantic HTML, schema markup, llms.txt files, sitemaps, and robots.txt by default. Every site on Webflow is already more AI-readable than 90% of the custom-coded internet. That's not a feature you opt into. It's the platform.
Other no-code platforms haven't all caught up yet. But the trend is clear: platforms that handle AI-readability at the infrastructure level will win in an AEO-driven world. When every site you build on Stacker, Bubble, or Softr has structured data and AI-crawler accessibility out of the box, you've eliminated a category of optimisation work that custom-code teams have to do manually.
The AEO maturity curve will separate platforms just as surely as mobile responsiveness did a decade ago.
The takeaway
Your brand is now being judged by three different AIs. You can't control what they say. But you can influence it, and you can measure it.
SEO isn't dead. But SEO alone is no longer enough. The traffic that comes from traditional search is shrinking. The traffic that comes from AI-driven discovery is growing and converts at higher rates.
Multi-model AEO tracking is the tool that lets you see what's happening. Structured data, clean markup, and answer-optimised content are the things that improve what the AIs say about you.
The builders who treat AI-readability as a core priority will own the discovery channels of the next five years. The ones who treat it as optional will wonder why their traffic kept shrinking.
Start by asking ChatGPT, Claude, and Gemini what they say about you. If you don't like the answer, you know what to fix.
Want to read
more articles
like these?
Become a NoCode Member and get access to our community, discounts and - of course - our latest articles delivered straight to your inbox twice a month!



