The market-wide coordinates: mention, direct citation, search presence and competitive position across the national query panel.
The whole map — what we measure, and what we fix
Search, AI answers, local, commerce, media, social and the technical layer underneath — the seven areas where a US brand gets found on the web, on one map. What can be measured runs through the same 4,900-cell grid, on the same queries. What no outside party can observe gets prescriptions bound to the platforms’ own documentation. The two layers are never blurred.
ChatGPT · Perplexity · Claude · Grok · Google AI Mode · Bing Copilot — citation and mention read separately
Quotable page patterns · third-party evidence carriers · misinformation correction
Voice and personalized screens: covered in the execution layer
Google Search + AI Overviews · Bing Search · Yahoo Search · DuckDuckGo search assist — organic read against the AI read, same queries
Technical SEO gate patches · structured data
Local-intent queries in the grid · local entity precision inside answers · Business Profile completeness read
Profile, review-source and NAP-consistency prescriptions
Map-screen rank: confirmed downstream through traffic you own
Purchase-decision queries read across the AI answer surfaces
Product feed hygiene · in-store AI readiness
In-store AI answers: covered in the execution layer
Google News and Bing News surfaces · publisher-class citation breakdown · publisher AI-openness review
Republication on AI-open outlets · wire design · correction channels
YouTube search and Google short-form in the grid · channel access table built from public crawler policies
In-app search prescriptions for YouTube, Instagram, TikTok and the app stores
In-app search rank: covered in the execution layer
AI crawler ledger · rendering-gap checks · citation-to-visit crosswalk
Freshness, IndexNow and crawler-access alignment
Traffic connection runs on your account permissions
Stateless measurement, stated in writing. Every paid audit measures through stateless API calls — the state the platforms themselves define as pre-personalization, the same layer as a temporary chat with memory off. That baseline visibility is what we measure, and the methodology says so. Real users’ answers start from this baseline and diverge from there — which is why a before-and-after comparison has to be read at the baseline. Sealed repeated runs accumulate into a time series: monthly spot reads, a full grid each quarter.
Every surface, and which tier measures it
The free snapshot is a fast read on the AI engines. Paid audits add the search cross-check and, on Panorama, the full source landscape the answer engines pull from.
Scope, deliverables and the decision each tier drives: the diagnostics page.
Measuring is step one of five — the loop closes
Grid measurement
490, 1,960 or 4,900 cells — every measurable position, run in full.
Execution design
Priorities, target URLs and completion criteria, bound into the report.
Build and publish
Technical gate patches, core pages and evidence assets — each with a change receipt.
Matched delta
Before and after read on the same queries, same conditions — reported as observed change.
Accumulate and watch
Sealed repeated runs, accumulated — and major engine-update windows are avoided on the remeasure.
Quarterly programs turn step five back into step one, every month — and an audit bought within thirty days of starting a program is credited in full (Competitive Signal excluded).
Every rung on this loop carries a published US-dollar list price: see the pricing page.
US regional visibility map
Behind a national average sit state-by-state gaps. As a quote-based add-on, we open a controlled 50-state + DC panel — with state metrics kept on their own denominator and read alongside the national baseline.
How the state panel stays honest — location receipts, gates and denominators
Regional measurement pins down the search conditions your buyers actually operate under: every engine call in the panel fixes explicit location parameters — city, state, country and timezone — and your state selection is sealed with a sha256 receipt, verified fail-closed against the stored hash on every run. A state score publishes only from panels that pass that location-receipt gate.
The selected state becomes hash-bound intake provenance. A dedicated USD regional scope adds location-capable API or exact browser receipts, contracted coverage and acceptance gates before the panel is frozen. National and state figures are reported on separate tables and separate denominators.
State and DC scorecards, competitive intensity and priority-state actions under verified location signals.
Where does your situation land on this map?
Most buyers arrive with one area already hurting — a category question they never appear in, a competitor who always does, or a fact the answers keep getting wrong. Match the situation to a starting point on the fit page, then read the list price on the pricing page.