See how much traffic answer engines are sending to websites.
A traffic dip isn't always your fault. This chart helps you find out.
The numbers here show what's happening across the industry, not for your brand specifically. The way to get the most out of this chart is to compare it to your own traffic data — once you know what the industry is doing, you can figure out what it means for you:
Review each answer engine to see whether one is driving the traffic trend more than the others. Sometimes the picture looks very different depending on which platform you're looking at.
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AI-referred traffic is based on anonymized HubSpot customer data and modeled to show aggregated page visit trends from ChatGPT, Gemini, and Perplexity each week. Actual results may differ by region and language. Weekly data runs Monday-Sunday; it can take a few hours for all traffic data to populate.
Use the brands you recognize to calibrate what's realistic in your industry.
The companies shown aren't necessarily competitors — they're familiar names chosen to give you a meaningful benchmark. When you select your industry, you're not watching a race. You're getting a baseline for what typical AI visibility looks like and how wide is the spread between brands.
In some industries, the top performers sit well above 70% visibility while others cluster around 30%. In others, the field is much tighter. Once you know the range, use it as a comparison point for your own brand. Pick a company in your industry that you'd consider a household name and note where they're sitting. If your own visibility score is tracking close to theirs, you're in the conversation. If you're well below them, you have a clear sense of how much ground there is to make up. And, if you're above them, that's a meaningful signal that your AEO strategy is working.
Toggle between Visibility Score and Citation Share to see both sides of the picture. A brand can be frequently named in AI answers without being cited as a source, meaning they have a strong, reputable presence across the web but a weaker content strategy. Inversely, if a brand is cited heavily without being named, they have a significant catalog of well structured content, but they need to improve their authority — or why someone should choose to buy their products & services.
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Benchmarks reflect estimated trends from representative brands within each industry. Weekly data runs Monday-Sunday for ChatGPT, Gemini, and Perplexity data; each week appears once complete. Visibility score and citation share each utilize a 0-100% range, with graphs autoscaling for easier readability.
Track how AI answer engines are changing brand visibility. Get a daily snapshot based on mention, citation, and AI-referred traffic data to understand whether visibility shifts are market-wide — or a sign that your own AEO strategy needs attention.
Your weather report for AI engines.
When something looks off in your own AEO metrics, check here for what the market is experiencing. A spike in volatility means the engines have changed. How many links they show, how often they name brands, what sites or content they reference most, and how much traffic they send can all be shifting.
Use the score alongside your own data to diagnose what's actually happening:
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See how different content types and source channels appear in AI search results over time.
Watch for what's shifting, not just what's dominant.
Content Type:
This view shows which formats of content — blogs, comparison pages, documentation, guides, and others — are being cited most in AI-generated answers each week.
The content types holding the largest share tell you what AI engines are currently treating as authoritative. But another actionable signal is movement. A content type steadily growing its share week over week is one the engines have started favoring more recently — and a format potentially worth investing in if you're not already publishing it regularly. Equally, a content type that's shrinking is one losing favor, which may mean deprioritizing it isn't as risky as it once seemed.
When you see a significant shift, cross-reference it with the Volatility Tracker. A sudden change in the mix during an Elevated or Extreme week usually means the engine updated how it weights certain content. That shift is likely affecting everyone, not just you.
Channel:
This view shows which types of sources AI engines are pulling citations from — owned content (your website), earned media, review sites, affiliates, UGC, and others.
The most important thing this chart communicates is that AEO isn't just about what's on your website. AI engines pull from the entire web when deciding what to cite. In many cases, third-party sources like review sites, affiliates, and others carry significant weight in what gets surfaced.
If you look at this chart and see review sites or affiliates holding a large or growing share vs. owned, that's a signal that AI engines in your space are trusting what others say about brands more than what brands say about themselves. If your current strategy is focused entirely on your own content, this chart is telling you there's a meaningful piece of the picture you're not influencing.
On the flip side, if owned content is consistently strong in your industry, that's validation that investing in your own site — your blog, your product pages, your documentation — is the right place to focus.
Use this view to pressure-test where your effort is going. If the channels gaining share are ones you're not active in, that's the gap worth closing first.
Affiliate: Affiliate sites, where you can pay to have your content published
Competitor: Competitor domains, from the competitors set up during onboarding
Earned: Earned media, including news or PR
Owned: Your own domain
Peer: Peer sites are product/service companies that are not your direct competitors
Review sites: Third-party platforms where users rate and review products, such as G2, Capterra, and Trustpilot.
UGC: User Generated Content sites such as Youtube / Reddit
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Weekly citation data is based on anonymized results from HubSpot customers and modeled to show citation share by content type or source type. Data is based on responses from ChatGPT, Gemini, and Perplexity Monday-Sunday; each week appears once complete.
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