Ten lines of live production markup from one active retainer. Pulled 09.14.26, unedited.
Each entry is a category query, scanned against hundreds of variants of real customer language across ChatGPT, Claude, and Google AI. The named rate is the share of scans where AI names any specific business by name in the answer. No proxy. No score of our invention.
Read the full issue →Not a scan. Not a report. A multi-source measurement discipline. Every AI visibility tool reads one number and calls it a strategy. That is a guess. We triangulate three sources. AI answers, search performance, site structure. Pressure-tested against each other until the data agrees. Only then does a finding become a recommendation. Only then does it go in the spec.
Every engagement runs three parallel measurements. AI answers across ChatGPT, Claude, and emerging surfaces. Repeated, verbatim, source-mapped to the exact pages the AI read. Your actual search performance, rankings, and click data. Your site's rendered markup, schema, and crawlability. A finding only surfaces when two or more sources agree.
You get a documented brief. Content strings, schema graphs, page structure, engine-specific trust-layer fixes. Mapped to the exact findings that call for them. Every fix is scoped against measurable expected lift in both AI citation and search ranking. A spec your team ships against. Or one we build, if that is the ask.
The same query set re-runs against the same engines. Deltas published per signal, per surface, per engine. If AI citation moved and search rankings moved with it, we prove the correlation. If a category is structurally unwinnable, we tell you that too, and where the ceiling is.
Both surfaces reward the same underlying structural legibility. Fix your site once, correctly, and AI citation climbs alongside search ranking. You are not betting on a speculative AI-only future. You are making structural fixes that pay off across every surface a customer uses to find you. We measure both moving together, and prove the correlation with dated before-and-after data on every engagement.
Read the full methodology →This is the new reality. AI decides who gets found now. It reads every site before it names one.
Their owners never know. Their agencies ship and move on. A dashboard, a promise, no proof. That's not how you win.
And real data is the one thing nobody handed you. Most site structure is flawed and no one has called it out. Schema shells with no keys. Dead canonicals. Reviews rotting in iframes no crawler will read. AI bots blocked from reading the site.
We're not another agency selling fake certainty. We measure what's real. We prove it or we say nothing. Because real work produces real outcomes.
On every direct industry query · across four engines
Baseline scan named the business on 60% of category queries and put the site at position 12 in search. Cross-referenced with structural audit, the same entity signals were missing from schema, category tagging, and content architecture. Three sources agreed on the fix. We specified an entity-first rebuild, per-location schema, satellite pages with structured intent, canonical hygiene tied to the parent brand. Their team shipped in four weeks. Next scan named them across every engine and every direct industry query. Search position moved in parallel. Same fix, both surfaces, proven in the same pass.
Read the study →Your first scan across all three sources. AI answers, search performance, site structure. Cross-referenced. Delivered as a build spec your team can ship against. One engagement. One price.
Request your scan →Or write directly to [email protected]