Closed-loop attribution from first touch to signed matter, compared across four models — first touch, last touch, linear, time decay — because a channel that starts journeys and a channel that closes them deserve different budgets.
Answer presence tracked across ChatGPT, Perplexity, Google AI Overviews, and Copilot, prompt by prompt — plus bot intelligence: which AI models crawl your content and whether they can read it cleanly.
Every page graded on E-E-A-T dimensions, every local keyword tracked block-by-block on a map-pack grid, quick wins flagged where positions 4–10 are one push from page one.
Attribution, intake, AI visibility, organic, and local — instrumented together, because that is how a case actually arrives.
Four attribution models compared side by side on a cookieless, server-side identity graph that recognizes the same person across phone and laptop — so the journey from first touch to signature holds together as third-party cookies disappear.
Every call categorized and tied to its source; AI-scored intake quality, agent by agent — paid budgets die at the front desk, not in the auction.
Answer presence by engine, tracked prompts, AI referral traffic, and crawl-readiness for the models that increasingly do the referring.
Every page scored on depth, readability, uniqueness, freshness, intent match, and local relevance; the content calendar starts where the grades are lowest.
Map-pack rank at every grid point across your metro, citation coverage, NAP consistency, and review velocity.
Sources reconciled daily — a dashboard you can read at 5:01 PM and trust.
