the value of a visitor who arrives from AI search, compared with a standard organic visitor. They show up already convinced.
Buyers now ask ChatGPT, Perplexity, Gemini and Google's AI answers who to trust. I make sure your brand is what they find, cite and recommend.
the value of a visitor who arrives from AI search, compared with a standard organic visitor. They show up already convinced.
more likely to be cited when your brand is named in ChatGPT's first search than when it is only found later.
of the pages ChatGPT reads ever make it into an answer. Being found and being cited are different jobs.
No vague "strategy decks". Every part of the engagement ends in something your team can act on.
Your presence across Google AI Overviews, ChatGPT, Perplexity, Gemini and Claude, measured across a large prompt set instead of a handful of spot checks.
Make it unambiguous who you are and what you are best at, on your site and in the places models learn about you: reviews, communities, comparisons and press.
Pages structured so a model can lift a clear, sourced answer: concise sections, direct definitions, real data and honest comparisons.
Crawler access, rendering and structured data checked, then visibility share tracked monthly across prompts so you can see movement.
My research into ChatGPT's fan-out queries found it retrieved 3,554 pages across 57 conversations and cited 110. Getting cited is a different job from getting ranked.
The same loop runs under every engagement, whether it is a one-time audit or an ongoing program.
Build the set of questions your buyers actually ask, grouped by intent and platform.
Measure mentions and citations across engines, run repeatedly so one lucky answer does not mislead.
Close entity gaps, restructure key pages, and earn presence in the sources models trust.
Monthly visibility share across the prompt set, feeding the next cycle.
The principles that shape the plan, from five years of working on real accounts with real stakes.
AI does not run one search. It splits a question into several and merges what it finds, so I optimise for the whole cluster of sub-queries, not a single keyword.
AI answers change from one run to the next, so a single position means little. I track visibility share across a large prompt set, repeated over time.
A model can name your brand without linking to you, or cite you without naming you. I track both, because they lead to different outcomes.
Dashboards show where you stand. They do not tell you what to change. The work is in the diagnosis and the fixes.
Anything else? Send it with your audit request and I will answer it.
They overlap, and strong SEO fundamentals still matter. But the surface differs: SEO earns a ranking, GEO earns a citation. That is why I audit both.
Nobody can. AI answers vary from run to run, even for the same prompt. I measure visibility across many prompts and work to raise your odds.
Google AI Overviews, ChatGPT, Perplexity, Gemini and Claude, alongside classic Google rankings.
Not to start. The audit uses a structured prompt set. If you later want continuous tracking, dedicated AI-visibility platforms exist, and I can help you evaluate them.
The three feed each other. Most brands optimise for one and ignore the rest, and that is the gap I close.
A focused audit of your AI Overview presence and LLM citation footprint. You get a prioritised fix list, not a 90-slide deck.
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