When ChatGPT recommends a tool, it pulls from specific web pages. LLM Citations shows you exactly which domains AI engines trust — so you know where to invest.
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When ChatGPT recommends an SSO platform, it doesn't generate the recommendation from training data alone. It pulls from specific web pages — listicles, blog posts, Reddit threads, G2 reviews, vendor docs — and synthesizes them into a response.
AI engines retrieve and synthesize content from real pages. The pages they pull from determine who gets recommended — not who has the best product.
A domain cited frequently by AI engines earns compound authority over time. Each citation makes future citations more likely — first-mover advantage is real.
If you don't know which pages AI engines trust in your category, you don't know where to invest. LLM Citations gives you that map.
Three top-line metrics tell you the shape of your category:
Plus a ranked list of the top 15 cited domains with mention counts and share of voice.
Every URL AI has cited, ranked by occurrence count. Each row shows:
Top 7 of 15 shown · sorted by occurrence count
The shape of your top-15 cited domains reveals your category's authority structure — and the right strategy to compete.
| Pattern | Signal type | Strategy |
|---|---|---|
| Aggregator dominance G2, Capterra, industry pubs in top 5 | Listicles drive most citations | Earn placements via direct outreach |
| Reddit / forum heavy Multiple subreddits in top 20 | Community authority matters | Build authentic technical presence |
| Single competitor dominant One vendor's domain in top 3 | They've built compound authority | Audit their content, build stronger versions |
| Media-heavy TechCrunch, Forbes, trades in top 5 | PR > content | Invest in earned media + analyst relations |
| YouTube / video youtube.com in top 15 | Video content is being cited | Add video to your AEO mix |
GrackerAI classifies every cited URL so you understand the composition of authority in your category — and what strategy that implies.
Standard web content drives your category. Comparison pages, listicles, and blog posts are your priority investment — publish and earn placements.
Competitors are out-publishing you. Audit their highest-cited pages and build stronger, more authoritative versions with updated data and structured schema.
Your category is PR-driven. Earned media and analyst relations will move your AI citations more than blog content alone.
Community presence matters here. Authentic engagement on Reddit, Hacker News, and niche forums builds the kind of authority AI engines trust.
A URL cited by only 1 engine is niche-specific — usually because that engine specifically pulls from a particular data source. Knowing the difference shapes your strategy.
Perplexity's retrieval layer heavily favors community discussions. Reddit threads often appear exclusively in Perplexity results.
Google's Gemini cites YouTube more than any other engine — especially for product demos, tutorials, and explainer content.
Microsoft Copilot disproportionately cites learn.microsoft.com. If you're competing in the Microsoft ecosystem, technical documentation matters.
For security vendors, citation patterns around CVEs are uniquely high-leverage. The AI engines that answer vulnerability questions pull from a very specific set of authoritative sources.
How to use Citations for CVE authority
Search Citations for nvd.nist.gov, mitre.org, cisa.gov — these are highest-trust sources for AI security responses
Check whether your CVE database, vulnerability advisories, or threat intel content appears in the cited list
If it doesn't, audit for technical accuracy, update frequency, and structured schema markup — the three factors that drive security citation authority
Track week-over-week whether your domain starts appearing in citations after publishing CVE coverage
"The AI search optimization strategy gave us visibility we couldn't achieve through traditional SEO. We're now being cited by AI assistants as a trusted source in cybersecurity."
The single highest-ROI move for most B2B SaaS teams is earning placements on the listicles that already rank in their category. GrackerAI Citations shows you which listicles those are.
Filter Citations to Type = Website or Media, sorted by Occurrences — the top 10 results are your priority targets
Open each listicle URL and check whether your product is included — this takes 20 minutes and gives you your entire outreach priority list
Outreach to publishers with a specific differentiator pitch — a concrete data point or customer proof that makes inclusion compelling
Track in Citations over the following 4–8 weeks as new placements start generating citation occurrences
Each placement compounds — one citation from a high-authority listicle generates hundreds of mentions over the following months.
After earning placement on 3 top-10 listicles
See the responses that produced these citations — track every brand mention, sentiment shift, and source across all AI engines.
Map every competitor mention across AI engines — see exactly where they're gaining citation authority you're missing.
Prove the ROI of AEO — visibility trends, citation share, and competitor benchmarks in executive-ready reports.
Discover your AI visibility gaps and start capturing millions of new product discovery clicks.
