AI-Referred Traffic Trends
Methodology: The AI-Referred Traffic Trends chart showcases the aggregate of ChatGPT-, Gemini-, and Perplexity-referred traffic to HubSpot customers by week. The data set is comprised of anonymized HubSpot customer data.
Context: This chart allows marketers to compare their own traffic performance to the wider industry. For example, when a marketer sees a traffic dip, their reflex is to audit their strategy. But, traffic declines aren’t always within marketers’ control – sometimes they’re a factor of an answer engine model change or AI usage behaviors shifting.
AI Visibility Benchmarks by Industry
Methodology: The AI Visibility Benchmarks by Industry chart shows visibility and citation share of four representative companies within ten industries from ChatGPT, Gemini, and Perplexity. The data that powers these calculations are estimates based on publicly available information – like a company’s top products, competitors, and assumed customer profiles.
Context: AI visibility and citation share for companies will vary by industry. This snapshot provides a benchmark for how companies typically perform within an industry.
Citation Share Trends
Methodology: The Citation Share Trends chart calculates what citations (or links) in AI answers look like and how they change on a weekly basis. Anonymized HubSpot customer data based on responses from ChatGPT, Gemini, and Perplexity power this chart. This chart tracks citations by Content Type, or the type of URL answer engines link to. Sixteen Content Types are monitored including: product pages, listicles, blog posts, PR, and more. This chart also tracks Channel, or which kind of websites answer engines link to. Nine channels are monitored including: affiliate, peer, earned, review sites, and more.
Context: The Content Type portion of this chart helps users understand if the content they’re publishing or have live on their site is relevant to AEO. For example, answer engines often cite product pages, listicles, blog posts, and guides. You should evaluate if these content types align with the content your company is actually producing. The Channel portion of this chart helps users understand if their marketing strategy is optimized for AI Search. If your goal is to grow your AI visibility, this chart outlines how you need to be focusing on off-site efforts like affiliate mentions, earned media, partnerships, and reviews on review sites, not just optimizations to your own website.
Answer Engine Volatility Tracker
Methodology: The Answer Engine Volatility Tracker chart calculates daily volatility in answer engine results based on mention rate, citation rate, citation type, and AI-referred traffic vs. rolling averages. The data set is comprised of anonymized HubSpot customer data and evaluates ChatGPT, Gemini, and Perplexity. Daily volatility scores may fluctuate slightly for three days from the current day as final data rolls in.
Context: Model changes and behind the scenes updates from ChatGPT, Gemini, and Perplexity will alter the contents of AI results. For example, with one model you may see a lot of links to businesses (also known as citations), but once a new model update rolls out, you may see only one or two links. Changes like this within answer engine results is what the Answer Engine Volatility Tracker monitors.