AEO Widget

AI Search Sensor

AI-Referred Traffic Trends

See how much traffic answer engines are sending to websites.

How to Read This Chart

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:

• Industry traffic is up, but you're flat or declining: You may be losing traffic share compared to your competitors. That's a signal to audit your AEO coverage, specifically looking at which engines are sending traffic, and whether your content is showing up in their answers. A good next step is to check the Citation Share Trends chart to see which content types are earning the most citations right now. Compare that against what you're actually publishing.
• Industry traffic is down, and so are you: Likely a market-wide shift rather than a strategy problem. Check the Answer Engine Volatility Tracker to see if conditions changed that week. If they did, that context is probably your answer.
• Industry traffic is down, but you're holding steady or growing: Your strategy is outperforming the market average. Take note of what you've been doing differently, because it's working.

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.

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.

AI Visibility Benchmarks by Industry

See how often brands in your industry are appearing in AI search results, and whether that’s changing over time. Get insights into a company’s

visibility score

visibility score

A score from 0-100% estimating how often a brand is mentioned in AI answers relative to other tracked competitor brands.

and

citation share

citation share

The estimate of how frequently a specific brand’s domain appears in AI-cited sources out of all citations analyzed. Expressed as a percentage from 0-100%

across multiple weeks.

How to Read This Chart

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.

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.

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