HubSpot Data Shows 44% of Marketers Buy via AI Search Recommendations: How to Benchmark Your AEO

HubSpot has released new benchmarking data and guidance showing a fundamental shift in how B2B buyers discover products, revealing that 44% of surveyed marketers have made a business purchase based on brands found through answer engines. According to data cited by HubSpot, measuring success in Answer Engine Optimization (AEO) is now the top challenge for 23% of B2B marketers. To adapt, growth teams must expand beyond standard website click tracking to measure in-answer citations and brand share of voice across platforms like ChatGPT, Gemini, and Perplexity.

What happened

HubSpot's Marketing Blog published research and benchmarking frameworks for Answer Engine Optimization, highlighting how AI-generated search responses are rewriting top-of-funnel lead discovery. According to HubSpot’s State of AEO 2026 report, tracking performance is the single biggest hurdle for B2B marketers, cited by 23% of respondents. Despite measurement friction, AI recommendations directly drive pipeline: 44% of surveyed marketers reported making a business purchase based on brands discovered in answer engines. Furthermore, a separate survey of over 200 B2B decision-makers found 42% trust brands recommended by AI because they view them as pre-vetted, compared to just 11% who view them as less trustworthy.

Traditional search engine metrics are failing to capture this shift. Ahrefs reported that December 2025 data showed Google AI Overviews correlated with a 58% lower average click-through rate for top-ranking organic pages. Additionally, BrightEdge’s analysis revealed that only about 17% of sources cited in Google AI Overviews actually rank in the organic top 10—dropping to 11% in finance and 24% in healthcare. This means roughly five out of six AI citations originate from web pages outside Google's traditional first page.

To standardize measurement, HubSpot outlines two core formulas: Citation Rate, calculated as (Prompts Citing Brand ÷ Total Prompts) × 100, and Share of Voice, calculated as (Brand Mentions ÷ Total Mentions for Brand and Competitors) × 100.

Why it matters for demand generation teams

For small and mid-sized growth teams, the traditional SEO strategy of obsessing over page-one Google rankings is losing its direct link to pipeline. When zero-click answer engines handle query intent directly and reduce CTRs on top organic results by nearly 60%, securing the top search position no longer guarantees lead flow. However, prospects who do click through after interacting with answer engines arrive much further along in the buying process. As former HubSpot SEO and AEO strategist Amanda Sellers noted, answer engines deliver personalized responses that aid consideration, delivering significantly more qualified buyers by the time they land on a website.

The strategic opportunity for smaller growth teams lies in the citation distribution: 83% of citations in Google AI Overviews come from outside top-10 organic results. Growth teams do not need multi-year domain authority to win AI citations. By tracking platform-level visibility across individual answer engines and segmenting prompt performance by buyer stage, agile B2B teams can capture high-intent buyers early in their decision-making process before competitors appear on traditional search reports.

What to do this week

1. Build a 30-prompt high-intent query matrix. Draft 30 prompts representing your target buyers' comparison queries, use-case searches, and evaluation questions, then group them by funnel stage.
2. Calculate your baseline citation rate and share of voice. Test your prompt matrix across ChatGPT, Gemini, and Perplexity to record how frequently your domain is cited and calculate your share of mentions against two top competitors.
3. Audit non-ranking citation sources. Identify third-party websites cited by AI engines for your target prompts that do not appear on Google's first page, and prioritize those specific sites for PR, directory listings, or content syndication.

Sources

• How do I benchmark my AI search performance against my industry? — HubSpot Marketing Blog