When your buyer asks ChatGPT, Perplexity, Claude, or Google's AI Overview who to buy from — you either get named or you don't. We measure it in % of responses and we grow it.
Four shifts are already draining top of funnel. Most brands haven't noticed — because dashboards don't measure “didn't get mentioned.”
The buyer asks a question. Three brands get named. You are not one of them. There is no page 2. There is no scroll. The buyer moves on.
Google's AI Overview answers the question at the top — and the buyer never clicks. Same query, same intent, half the traffic. That's the new baseline.
<div class="product-hero"> <h1>Buy Now</h1> Reviews: 4.8 stars () <script type="application/ld+json"> LLMs parse the page. If your specs, price, reviews, and answers aren't marked up as structured data — they don't exist. Nice copy alone doesn't cite.
Someone else is writing your story. LLMs pull from Reddit threads, review sites, and blog posts — because your first-party content wasn't set up to be the source of truth.
Traditional SEO reports don't show what didn't happen. The mentions you missed don't hit a dashboard. Which is exactly why the window is still open.
Different engines. Different ranking mechanics. Different measurement. Same goal: be the answer.
Rank a page. Earn the click.
Get named in the answer.
Six workstreams, one team, owned end to end. Not a checklist — a system that compounds.
Where you appear — and don't — across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. Baseline share of voice against your top 5 competitors.
Product pages, guides, and FAQ rewritten so LLMs can extract, quote, and cite. Facts first, tone second, tokens third.
Product, FAQ, Review, HowTo, Organization — marked up cleanly so answer engines can understand what you sell and who you are.
Digital PR reframed for citation, not vanity backlinks. We map where your competitors are cited, then place you on the industry bodies, trade press, review platforms, and category listicles LLMs already trust.
The FAQ, guide, and glossary corpus LLMs prefer over hallucination-prone Reddit threads. When the model needs a source, it finds yours first.
The dashboard nobody else has. Your headline metric: % of responses you appear in across every engine — benchmarked against your top 5 competitors, tracked weekly, tied to pipeline.
A 90-day cycle. Then it compounds — every quarter your citations, structure, and mention share get denser.
200-prompt scan across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews. We map exactly where you're named, cited, missing, or misrepresented — and against whom.
Product pages, guides, and FAQ restructured. Schema + JSON-LD shipped. Your site becomes machine-readable without losing its human voice.
Entity placements, citation outreach, review-site cleanup, and knowledge-base publish. We plant the sources LLMs will find on their next crawl.
Weekly engine scans. Share of voice, sentiment, referral traffic. You see the mentions climb — and then you see the pipeline follow.
Directional benchmarks from category launches. Every brand starts in a different spot — the trajectory is what matters.
Most brands find they're named in fewer than 5% of buyer-intent prompts on day one. You get a source-by-source breakdown of where competitors are cited, and the exact structural gaps holding you back.
Schema is live. Structured content is indexed. First citations land on trusted sources. Named mentions typically climb 2–3× as engines re-crawl and re-ingest.
Compounded citations plus first-party structure land brands in 15–25% of category prompts. That's the threshold where AI-referral pipeline shows up in analytics.
Benchmarks from ecommerce category launches. Categories with heavier incumbents move slower; niche categories move faster. The audit tells you which you're in.
No. SEO wins the click on a search results page. GEO wins the citation inside an AI-generated answer. Different engines, different signals, different measurement. You need both — they don't replace each other, they compound.
No. Well-structured SEO content is actually the foundation of good GEO. What we do is layer schema, structured answers, and entity strategy on top — and rewrite the pages that were built for humans-only so LLMs can also parse them.
We run weekly automated prompt scans across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — 200+ buyer-intent prompts specific to your category. You get share of voice, mention count, sentiment, and citation sources. Same rigor as rank tracking, new terrain.
Schema and structured content changes get picked up in weeks. Citation strategy compounds over 60–90 days as sources get crawled and re-ingested by model training or retrieval systems. By month three, most engagements see 3–5x increase in named mentions.
Even better. Category leaders are already cited. The window is wide open for brands two or three spots down — because most competitors haven't started this yet. The next 12 months decides who owns the answer for the next five.
Implementation. Same team that runs your storefront runs your GEO. Schema shipped by our devs. Content rewritten by our writers. Citations placed by our team. You don't hand a strategy PDF to another vendor.
Free 30-day AI visibility audit. 200-prompt scan across ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews — benchmarked against your top 5 competitors.
Book the audit