If you assume search-engine-style SEO—more landing pages, more product copy—will automatically surface your brand in AI answers, the data says otherwise. An analysis of 107 million AI answers finds engines repeatedly cite a narrow, industry-specific set of domains. For marketers that means the right visibility play depends less on publishing more and more on appearing in the exact places AI looks.

Headline patterns from the analysis

The study grouped cited domains into three buckets—community & user-generated content (UGC), brand/retail/owned, and independent editorial & reference—and compared their share among the top citation sources for three industries across four AI engines.

  • IT & solutions services: community/UGC ≈ 51%, brand-owned ≈ 2%, independent editorial/reference ≈ 47%.
  • Consumer goods: community/UGC ≈ 50%, brand/retail/owned ≈ 46%, independent sources ≈ 4%.
  • Communication services (telecom, media): community/UGC ≈ 50%, brand/retail ≈ 10%, independent editorial/reference ≈ 40%.

In short: community content (Reddit, YouTube, forums) supplies roughly half of the AI-cited sources across sectors. The other half is industry-dependent—review directories and trade press for B2B, marketplace listings for products, and Wikipedia/press for communications brands.

How the engines differ

The engines do not behave identically. Key patterns from the study:

  • Google AI Overviews lean on social sources: YouTube and Reddit frequently top its citations.
  • Perplexity mixes community signals with directories and media, blending social proof and third-party validation.
  • ChatGPT shows a relative tilt toward editorial and reference sites—Wikipedia and trade media appear heavily—though Reddit still surfaces.
  • Gemini is the most industry-sensitive: editorial/reference citations for services, brand and retail pages for consumer products.

One consistent signal: Reddit appears among the top citation sources across industries and engines more often than any other single domain.

Action priorities, by industry

The citation mix changes the tactical playbook. Below are focused priorities that align with where AI actually looks.

B2B software & IT services

AI favors third-party validation here; your corporate site is rarely the primary citation. Practical steps:

  • Claim and complete profiles on the review directories buyers use—G2, Clutch, Gartner and the category-specific sites that matter.
  • Drive steady, recent reviews. Ask satisfied customers to review on the directory most likely to be cited, and reply to reviews to add fresh, quotable text.
  • Invest in trade coverage that names your product explicitly—analyst reports, trade reviews and comparisons are commonly quoted.

Communication services (telecom, media)

Public reputation matters here. Recommended work:

  • Maintain an accurate, well‑sourced Wikipedia entry (follow conflict‑of‑interest guidance and cite independent sources).
  • Prioritize earned press and trade coverage in outlets that show up in AI citations.
  • Monitor and engage in the public conversations—subreddits, forums and review threads—because those discussions feed the answers engines produce.

Consumer goods & e-commerce

For physical products, owned commercial surfaces and marketplace listings are the citation anchors. Actions to take:

  • Audit and optimize marketplace listings (titles, bullets, specs, Q&A). Engines often lift these fields directly into answers.
  • Keep product reviews recent and structured on product pages; support transparent creator reviews on YouTube and other channels.
  • Monitor relevant subreddits and product forums and correct factual errors where appropriate.

How to audit where AI cites your brand

You can build a citation map without specialized tools. A simple workflow:

  1. List the real questions customers ask when evaluating or buying.
  2. Run the same questions across the engines your customers use (for example: Google AI Overviews, ChatGPT, Perplexity, Gemini).
  3. Record the cited domains from each answer and tally which domains recur.
  4. Group recurring domains into community/UGC, brand/retail, and editorial/reference, and mark where you and your competitors appear.

Repeat this audit on a cadence—quarterly for fast-moving categories, semiannually otherwise—because engines update and citation mixes shift.

Note on the source: the underlying analysis sampled 107 million AI answers and provides only limited methodological detail in its public write-up. Treat the sector and engine patterns as directional guidance rather than absolute rules for every query.

What to do next—and what to watch

Start by mapping where AI sources its answers in your category, then prioritize the surfaces that matter for your business: review directories and trade press for B2B; Wikipedia and earned coverage for communications; marketplace listings and creator reviews for product sellers. Make those presences accurate, citable and routinely refreshed.

Watch for these signals over the next 6–12 months: shifts in the engines’ citation lists, rising prominence of particular forums or creator channels in your niche, and changes to how marketplace fields are parsed. If you build processes to claim, optimize and refresh the specific sources AI uses, you’ll convert visibility into recommendations—rather than hoping more pages on your site will do the job.