Which Sources Do AI Engines Cite When Recommending Software?

Published July 2026 · 7 min read

When we ran 150 buying questions through five grounded AI engines, 149 of them came back with web sources attached. So we logged every one. The pattern is unambiguous and it should reshape how you think about getting recommended: AI doesn’t invent its opinions. It synthesizes review sites, listicles, and niche blogs — and your own homepage is a bit player in that story.

The Most-Cited Sources

Here are the domains the engines cited most across the study. The count is the number of answers whose grounded sources included that domain (deduplicated per answer, out of 150).

G2 Is the Kingmaker

The single most-cited source, by a wide margin, was the review marketplace G2 — its pages appeared in the grounded sources of roughly one in five answers. That makes sense when you think about what an answer engine wants: G2 is structured, constantly updated, densely linked, and organized exactly around the question “what are the best tools in category X?” It is, in effect, pre-chewed for a model to retrieve and quote.

The practical implication is direct. If your category has a G2 grid and you’re not well-represented on it — current profile, volume of recent reviews, correct categorization — you are handing the engines a reason to name someone else. Review marketplaces (G2, Capterra, GetApp, TrustRadius) are some of the highest-leverage real estate in AEO precisely because the models lean on them so heavily.

Third-Party Beats First-Party

Vendor-owned domains did show up — Salesforce, Brevo, Monday.com, and Plausible each appeared in the top ranks. But they were the minority. The bulk of the most-cited sources were independent: tech media (PCMag, TechRadar, TechRepublic), community (Reddit, YouTube), and a striking number of niche category review blogs — thedigitalprojectmanager.com, peoplemanagingpeople.com, project-management.com, and others.

This is the core lesson for anyone chasing AI visibility: you cannot self-cite your way onto the shortlist. Models corroborate. Your own site tells them what you claim; the review sites and blogs tell them whether the rest of the world agrees. A page on your domain saying “we’re the best” is worth far less to a model than a third-party listicle that puts you in its top five.

Niche Blogs Punch Above Their Weight

One surprise: small, category-specific blogs were cited as often as major media. A dedicated project-management review site was cited more than most household tech publications. Sites like paymoapp.com, launchthedamnthing.com, and wpmailsmtp.com — not names you’d recognize from a traffic chart — kept appearing.

Why? Because they answer the exact question with depth and structure. A focused “best 12 help desk tools” post from a category expert is more useful to a model than a general-interest article that mentions the category in passing. For AEO, being genuinely comprehensive in a narrow niche is a real edge — both when you publish that content yourself and when you get featured in someone else’s.

What to Do With This

• Own your review-marketplace presence. A current, well-reviewed, correctly-categorized G2 and Capterra profile is table stakes. This is the single most-cited source type.
• Get into the listicles. Identify the “best X” roundups and category review blogs the engines actually cite in your space, and earn a place in them.
• Publish the definitive niche resource. A deep, structured comparison in your narrow category can itself become a cited source — and doubles as your own AEO content.
• Don’t stop at your own site. First-party pages matter for extraction, but corroboration from third parties is what earns the citation. See how to get mentioned in ChatGPT for the full playbook.

For the companion piece — which brands actually got recommended across these 150 answers — see State of AI Search 2026.

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