B2B Directories Drive 41% of AI Citations on Supplier-Selection Queries
A new GEO/AEO study found sector directories supply 41% of AI citations on B2B supplier-selection prompts. Brand-owned pages: 18%. That means on the query type that directly precedes a purchase decision, a G2 listing, a Clutch profile, or a Capterra page is more than twice as likely to be cited as your own website. If you are not in the right directories, you are not in the conversation.
A study published September 15, 2026 found that sector directories supply 41% of AI citations on supplier-selection prompts in B2B categories — more than twice the 18% share coming from brand-owned pages. For queries like “best CRM for mid-market sales teams” or “top logistics software for 3PLs,” the AI engine is more likely to cite a category directory than your own website, your case studies, or your blog. Your homepage is losing to a listing you don't fully control. This is the GEO finding B2B marketing teams are not building for yet.
What the Study Found
The study, reported via Business Insider Markets in September 2026, analysed AI citation sources across supplier-selection prompt types — the category of query a buyer runs when evaluating vendors before a purchase decision. Examples: “best [category] software for [use case],” “top [category] agencies in [region],” “[category] vendors compared.”
The 41% figure covers category-specific directories — G2, Capterra, Clutch, Software Advice, GetApp in software; similar vertical equivalents in professional services, manufacturing, and logistics. These are the directories AI engines default to when a buyer asks a comparative or selection question rather than a navigational one. The remaining ~41% of citations come from review aggregators, editorial comparison sites, and third-party analyst content — further reducing the share that goes directly to vendor websites.
Translation: on supplier-selection queries, brand-owned content accounts for less than 1 in 5 citations. The majority of the AI answer is built from third-party sources — and the single largest block of those third-party sources is directories.
Why It Matters
- Supplier-selection queries are the highest-value query type in B2B. These are not awareness queries. A buyer running “best [category] software for [use case]” is evaluating vendors. The AI answer at this stage directly shapes shortlist formation — and directories are supplying 41% of it. If your category directory listings are incomplete, unverified, or missing entirely, you are absent from the most commercially consequential moment in your buyer journey.
- Your homepage optimisation does not help here. Brand-owned pages at 18% means homepage SEO, meta descriptions, and on-site structured data are not the primary lever for supplier-selection AI citations. The lever is third-party directory presence. Optimising your homepage for these queries is optimising the 18% slice. Optimising your directory listings is optimising the 41% slice.
- Missing from a directory is functionally invisible on these queries. When an AI engine answers “best CRM for [use case],” it pulls from the directories it trusts for that category. If you are not listed, or listed with a thin profile, you are not in the candidate set. This is not a ranking problem — it is an existence problem. You cannot rank in a source you are absent from.
- Directory citation share varies by vertical — some are worse than 41%. The 41% figure is the aggregate across B2B categories. In software (SaaS specifically), G2 and Capterra alone account for a disproportionate share of AI supplier citations because AI engines have indexed their structured comparison data extensively. In professional services and manufacturing, vertical-specific directories (e.g. industry association registries) play the same role. The baseline is 41%; your category may be higher.
- Directory listings are persistent citations — they compound. A strong directory listing gets cited repeatedly, across multiple AI platforms, for every supplier-selection query in your category. One well-maintained listing generates citation exposure at a per-query frequency that blog posts rarely achieve. The investment is made once; the citation return is ongoing.
What to Do
- Identify the 3–5 directories AI engines actually cite in your category.
- Run 10–15 supplier-selection queries relevant to your category on ChatGPT, Perplexity, and Google AI Mode. Record which third-party sources appear in the answers.
- The directories that appear 3+ times across those queries are your citation targets. These are the directories the AI engines have decided to trust for your category — not the ones with the most traffic or the most reviews necessarily, but the ones already in the citation pool.
- For B2B SaaS: typically G2, Capterra, Clutch, Software Advice. For professional services: often industry association directories, DMOZ category equivalents, and vertical review platforms.
- Audit your current listing quality on each target directory.
- Check: Is your profile claimed? Is the description complete (100+ words minimum)? Are categories and use cases correctly tagged? Is contact and pricing information current?
- AI engines pull structured fields from directory listings — a thin or unclaimed profile is treated as low-confidence data and cited less. A complete, verified profile with customer reviews is treated as high-confidence and cited more.
- If your profile has fewer than 10 reviews, that is a citation quality threshold issue — not a reviews vanity metric. Prompt recent customers to leave reviews specifically on the directories your AI audit identifies as citation sources.
- Write your directory description to be citable, not just discoverable.
- Treat your G2 or Capterra description as a primary citation source, not a marketing brochure. Lead with the specific use case and buyer profile in the first sentence. Include category-specific outcome data if you have it (e.g. “median customer reduces reporting time by 3.2 hours/week”).
- AI engines excerpt from directory descriptions when constructing supplier-selection answers. A description that answers “who is this for and what does it do?” in the first two sentences gets excerpted. A description that starts with your tagline does not.
- Include your ideal customer profile explicitly: company size, industry, use case. AI engines use this to match your listing to query intent.
- Expand into vertical directories beyond the obvious platforms.
- The 41% figure comes from category-specific directories broadly — not just G2 and Capterra. In your specific vertical, there may be a smaller, authoritative directory (industry association registry, analyst firm vendor list, niche comparison platform) that AI engines have decided to trust for your query type.
- Finding these requires the audit approach in step 1 — run the supplier queries and see what sources actually appear. Do not assume the high-traffic directories are the cited ones.
- Being the only well-optimised listing in a less-competitive vertical directory can be a higher-ROI move than competing with 5,000 vendors on G2.
- Track directory citations monthly alongside direct brand citations.
- Run your supplier-selection query set monthly. Count how often your brand appears via directory citations vs. direct brand-page citations. The ratio tells you whether your directory investment is working.
- A healthy B2B GEO profile at this stage looks like: appearing in AI answers via directory citations on 30–40% of supplier-selection queries in your category, with direct brand citations on 10–15% of those same queries.
- If your direct citations exceed your directory citations on supplier-selection queries, you are in an unusual position — most B2B brands are the reverse, and the study confirms why.
Chad's Take
Every B2B marketing team I've seen run an AI citation audit is surprised that a G2 listing they last updated in 2023 is getting cited more than their homepage they spent six months redesigning. It surprises them because they optimised for organic search, where you control the page. In AI search, the engine decides what to trust — and for supplier-selection queries, it has decided to trust structured, third-party-verified listings over brand-authored content. That is not going to reverse. Your website will always be the most biased source about your product. A directory with 200 verified customer reviews is not. Treat your directory profiles like landing pages that AI engines write on your behalf. Because that is exactly what they are doing.
Sources
- Business Insider Markets — “Directories Supply 41% of AI Citations on Supplier-Selection Prompts — New GEO and AEO Study Finds”, September 15, 2026. markets.businessinsider.com
Want Chad to audit your content against this benchmark?
Chad runs supplier-selection queries in your category across ChatGPT, Perplexity, and Google AI Mode — then maps which directories are being cited and whether your listings are in the pool. You get a directory gap analysis and a ranked action list.
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