LLM Citation Links

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    A growing share of your buyers aren't scrolling through ten blue links anymore - they're asking ChatGPT, Perplexity, or Google's AI Overview a question and taking whatever answer comes back. If your brand isn't one of the sources that answer pulls from, you're invisible at the exact moment someone's deciding who to trust. LLM Citation Links is our program for getting you into that answer: real mentions on the sites, forums, and publications these models actually treat as reliable, built by a team that's been doing SaaS and B2B link work for over 10 years.

    This isn't the same playbook as ranking in Google, even though the two overlap. Language models weigh source credibility, consistency across mentions, and how clearly a claim is backed up - closer to how a Google quality rater reads a page than how a classic ranking algorithm scores one. We build citations the same way we'd build any earned link: real editors, real publications, a genuine reason for them to mention you, nothing scraped together to game a crawler.

    01
    LLM Visibility Audit

    We start by checking where your brand shows up right now inside ChatGPT, Perplexity, and Google's AI Overviews, then compare that against two or three competitors already earning citations regularly.

    02
    Source Mapping

    From there we map the sources large language models actually pull from - Wikipedia, category-specific forums, review platforms, technical documentation, and the handful of publications every model seems to actually trust.

    03
    Content & Citation Placement

    Getting cited isn't just about buying a mention - it's about publishing content structured clearly enough, and backed with enough real data, that a model chooses to pull directly from it.

    04
    Monitoring & Reporting

    We track how you're cited across ChatGPT, Perplexity, Gemini, and AI Overviews on a recurring basis, then send a report showing which queries surface your brand and which ones don't.

    Service Outcome

    • Mentions placed only on sources models actually train on
    • Consistent brand facts and framing across every single citation
    • Recurring tracking across ChatGPT, Perplexity, Gemini, and AI Overviews
    • A citation profile that supports your existing SEO strategy
    How is this different from regular link building?

    Regular link building targets ranking signals - anchor text, domain authority, crawl paths. This targets the sources language models actually cite when they generate an answer, which overlaps with SEO but isn't the same list of sites or the same kind of pitch.

    No one can guarantee a specific model output - how these systems select sources changes as they're updated, and none of them publish their exact criteria. What we can do is put you on the sources they demonstrably pull from and track whether that translates into actual citations over time.

    We run a recurring set of real queries against ChatGPT, Perplexity, Gemini, and Google's AI Overviews, log whether and how your brand appears, and compare that against the same queries for your competitors. You get the raw before-and-after, not a vague promise.

    Both. If you've already got strong data, case studies, or documentation, we can pitch that as-is. If there's a gap, we'll tell you exactly what's missing before we start outreach, since a thin or unsupported page rarely earns a citation.

    Early placements typically land within the first month, but citation behavior shifts as models get updated, so we treat this as an ongoing program rather than a one-time fix. We'll review actual query results with you on a regular cadence so you can see the trend, not just a single snapshot.