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AI Sources Analysis

Understand which domains AI engines trust in your category — and become one of them.

Behind every AI recommendation is a set of domains the engine trusts. Geonimo aggregates citations to the domain level, showing you which sites dominate AI answers in your category — review sites, editorial publications, corporate blogs or community forums.

Each domain gets an authority score and a source type classification, so you can see at a glance whether your category's AI answers are shaped by journalists, vendors or Reddit threads — and where your own domain stands in that hierarchy.

Domain-level citation view

All citations roll up to domains, revealing the sites that repeatedly shape AI answers in your category. One listicle getting cited is noise; a domain cited across fifty prompts is power.

Domain authority scores

Every cited domain carries an authority score, helping you separate the heavyweight publications worth pursuing from low-impact sites that happen to get an occasional citation.

Source type classification

Domains are classified as corporate, editorial, UGC and other types, so you can see the mix of voices AI engines trust for your category and match your strategy to it.

Category dominance ranking

See which domains capture the largest share of citations across your tracked prompts. These are the gatekeepers of your category's AI answers — and your highest-leverage outreach targets.

AI engines have favorite sources — do you know yours?

Every category has a citation hierarchy: a handful of domains that AI engines return to again and again when answering buyer questions. If those domains mention you favorably, you win by default; if they ignore you, no amount of on-site optimization fully compensates. This is topical authority as the engines actually compute it — not a theoretical metric, but observed citation behavior. Most brands have never seen this hierarchy because it only becomes visible when you aggregate thousands of real AI answers.

From citations to a trust map

Geonimo rolls every citation from your tracked prompts up to the domain level, scores each domain's authority and classifies its type — corporate site, editorial publication, UGC platform. The result is a trust map of your category: you might find that 60% of citations go to five review sites, or that Perplexity leans editorial while ChatGPT favors community content. You can filter by provider and location to see how the source mix shifts across engines and markets.

Three plays the trust map unlocks

First, earn placement: the dominant domains are your PR and outreach hit list, and Geonimo's GEO Outreach feature builds that queue directly from this data. Second, emulate: study what the most-cited domains do — format, depth, freshness — and apply it to your own pages to raise their citability. Third, monitor: when a new domain starts climbing the citation rankings, you'll see it early and can engage before competitors notice it exists.

Frequently asked questions

How is this different from citation tracking?

Citation tracking works at the URL level — individual pages, ranks and snippets. Sources analysis aggregates to the domain level to reveal which sites systematically shape your category's AI answers. You use citations for tactical checks and sources for strategic decisions about PR and content.

What source types does Geonimo distinguish?

Domains are classified into types such as corporate, editorial and UGC, each alongside an authority score. This shows whether your category's AI answers are driven primarily by vendor content, journalism or community discussion — a distinction that fundamentally changes which outreach and content strategy will work.

Can I see source data per AI engine?

Yes. Source analysis can be filtered by provider and location, because engines trust different domains. Perplexity's citation mix often differs sharply from ChatGPT's or Gemini's, and the filter shows you exactly how — so you can prioritize sources per platform.

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