When a B2B buyer asks an AI tool to compare vendors or evaluate a specific integration, the sources it cites are overwhelmingly pages your own marketing team already controls u2014 not Reddit threads, not YouTube reviews, not community forums. A citation study of over 7,000 AI responses to evaluation-stage B2B prompts found product pages, comparison content, and articles doing nearly all the work, while community-driven sources barely registered.
Why Broad AI Visibility Data Misses the Point for B2B
Most AI visibility research looks at broad, top-of-funnel queries u2014 the kind a problem-aware buyer types before they’ve picked a category or started comparing vendors. That data is useful for understanding brand authority and share of voice, but it doesn’t reflect what happens later, when a lead is actually evaluating specific tools, integrations, and pricing. Those are the moments that turn a marketing-qualified lead into a closed deal, and the sources AI cites at that stage look nothing like the sources it cites earlier.
Marketing agency Ten Speed pulled citation data from Peec AI u2014 which tracks URL citations across ChatGPT, Perplexity, Claude, and Gemini u2014 specifically for mid- to bottom-of-funnel prompts across its B2B SaaS and professional services client base. Queries like u201cbest CRM for a 12-person sales team,u201d u201cPipedrive vs. HubSpot for sales-led companies,u201d and u201chow does X handle SOC 2 reportingu201d u2014 220 hand-written prompts split across comparison, alternatives, use-case, feature/integration, buying-intent, and brand-direct categories, run against a client base spanning fintech, physical security, hospitality, and IT automation, deliberately including competitor brands alongside clients rather than just their own pages.
Owned Content Wins by a Wide Margin
Across 7,387 classified citations, brand-controllable content u2014 product pages, articles, comparison pages, listicles, how-to guides, and homepages u2014 accounted for roughly 88% of citation volume. Community-driven sources like Reddit, YouTube, and forums made up about 4%. Third-party review profiles (G2, Capterra, and similar) accounted for another 7%.
Product pages led every category, at roughly a quarter of all citations u2014 higher than what broader, top-of-funnel citation studies typically show. That tracks: when an AI model needs to summarize what a product does, who it’s for, or how it handles a specific use case, the page built to answer exactly that question is the one it reaches for. Article-format content (blog posts, news, PR) took around a sixth of citations, comparison and listicle content each took about an eighth, and how-to guides took just under one in ten.
Your Homepage Is Doing AI Entity-Definition Work
Homepages showed up in about 8% of citations u2014 higher than you’d expect for queries this deep in the funnel. The pattern suggests AI reaches for the homepage specifically when it needs a baseline definition of a company: who you are, what you sell, who it’s for. Ask an assistant u201cwhat does X dou201d and it often grounds the answer in homepage copy.
That means your homepage isn’t just doing conversion work for human visitors u2014 it’s doing entity-definition work for AI models too. Stating plainly what category you’re in, what you integrate with, and what you’re known for, instead of leaning on clever positioning over clear description, gives the model something concrete to work with instead of something it has to infer.
Directory Profiles Are Content, Not Just Reviews
G2, Capterra, and similar platforms accounted for about 7% of citations. It’s tempting to file that under u201cthings we can’t control,u201d but the profile copy, category assignment, and feature tags on those listings are substantially yours to manage u2014 and they’re exactly the kind of structured, factual content AI models lean on when a buyer asks for options in a category.
That makes profile accuracy a citation-relevant task, not just a reputation-management one. Beyond monitoring star ratings, it’s worth checking that your listing sits in the right category, that current integrations are actually listed, and that the product description reflects what you offer today. A miscategorized or stale profile misinforms the model at the exact moment a buyer is building a shortlist.
The Reddit and YouTube Advice Doesn’t Hold at This Stage
The dominant AI-visibility advice for the past year has been some version of u201cbe on Reddit, be on YouTube, be where the community is.u201d That advice isn’t wrong u2014 it just doesn’t hold at the bottom of the funnel. In this dataset, Reddit and YouTube combined accounted for roughly 4% of citations, with YouTube barely present at around 1%.
There’s a nuance worth flagging: when a Reddit thread did get cited, AI tended to lean on it more heavily than other page types, on average. So Reddit isn’t irrelevant u2014 it’s just rare at this funnel stage, and when it shows up, it shows up strong. That’s consistent with the idea that Reddit and YouTube matter more for awareness and consideration-stage queries than for the specific, comparison-heavy questions a buyer asks right before a purchase decision.
Comparison Content Earns More Than It Gets Credit For
Comparison-format prompts (u201cX vs. Yu201d style queries) made up 20% of the prompt set but drove roughly 27% of total citation volume u2014 about a third more citation output than their share of the prompt volume would predict. Most B2B brands produce comparison content reluctantly, and usually only against their two or three most obvious competitors, often waiting until sales asks for it. The citation data argues for doing the opposite: producing more comparison content, earlier, and against a wider set of alternatives than feels comfortable.
What This Means for Content Priorities
- Treat product pages as AEO surfaces, not just conversion pages u2014 write them to directly answer what the product does, who it’s for, and how it handles specific scenarios, the same way a buyer would phrase it to a chatbot.
- Build comparison content earlier and against more competitors than feels natural, since it converts to citations at a higher rate than almost any other content type.
- Audit your G2, Capterra, and directory profiles for category accuracy and current integrations u2014 treat the profile copy as content you own, not just a review widget.
- Keep homepage copy plain and descriptive about category, integrations, and audience rather than purely brand-voice driven, since AI models use it to ground basic u201cwhat does this company dou201d answers.
- Don’t deprioritize owned editorial in favor of community-platform investment u2014 Reddit and YouTube likely matter earlier in the funnel, but this data suggests they’re not where evaluation-stage citations happen.
Where This Data Has Limits
This is a single point-in-time pull from one agency’s B2B SaaS and professional services client base u2014 it doesn’t cover consumer, e-commerce, or media brands, and AI citation behavior is known to shift quickly between platform updates. Citation count also isn’t a proxy for clicks or conversions; being cited isn’t the same as being read or acted on. Treat the pattern as directional and worth checking against your own AI visibility tracking, not as a fixed industry benchmark.