A multi-rooftop group is many local entities competing in many markets. Revle wins each metro store by store — and rolls it up into one view that shows which rooftops are cited and which are leaking deals.
Per rooftop. Measured per platform. No long-term lock-in.
Each store competes against a different set of dealers in a different metro. Treat the group as one blurred average and you'll never see which rooftops are winning the answer — and which are quietly losing deals to a competitor down the road.
Each rooftop competes against a different set of dealers in a different metro. A group average hides which stores actually win the answer.
Its own Google Business Profile, NAP graph, inventory feed and review velocity. We diagnose, deliver and measure each one separately.
Per-rooftop, per-platform AI-visibility measurement — so you see exactly which stores are cited and which are invisible, surface by surface.
The rooftop is the atomic unit. We diagnose, deliver and measure per rooftop, per AI surface — then roll it all up so the group can see itself clearly for the first time.
One portfolio view across every rooftop: AI Visibility Score, ladder level and net citation share against named competitors. Direct attention and budget to the stores that need it, and prove the wins to the stores that have them.
Group rollup
West Texas Auto Group · 4 rooftops
Abilene Toyota
Abilene, TX
Midland Honda
Midland, TX
Lubbock Ford
Lubbock, TX
Odessa Kia
Odessa, TX
Illustrative. Your group baseline is measured on intake.
The same disciplined engine on every rooftop — a clean local SEO foundation, AEO to become the named answer in each metro, and per-rooftop, per-platform measurement that rolls up to the group.
Per rooftop, we drive the climb to L3 — the named answer when a local shopper asks an AI surface where to buy or service. Won metro by metro, never as a brand-wide average.
The same disciplined foundation across every store: Google Business Profile, NAP / citation graph, AutoDealer & Vehicle schema, inventory feeds and review velocity — finally consistent at group scale.
We scan ChatGPT, Google AI Overviews, Perplexity and Gemini for each rooftop's priority queries and score citation, position and sentiment — by store, by surface.
Every rooftop's score, ladder level and net citation share in a single portfolio view — so a dealer principal or group marketing director sees the whole group at a glance.
Group leadership doesn't need a hundred metrics. It needs to know how much of the portfolio is winning, how fast new stores get healthy, and whether each metro is gaining or losing ground.
% of rooftops
at AEO-ready or AI-cited
How much of the portfolio has cleared the foundation and is winning answers — tracked store by store.
Time-to-foundation
per rooftop, average across the group
How fast a new or broken store reaches a clean, consistent, crawlable L1 baseline.
Net citation share
vs named competitors, per metro
Whether each rooftop is gaining or losing the recommendation slot against the dealers it actually competes with.
Not a different SEO vendor per store, with no two reports that agree. One accountable team, one consistent foundation, one rollup — for everyone who answers for results.
The portfolio view — which stores are winning AI visibility and which are quietly leaking deals.
A consistent foundation and measurable AEO across every rooftop, without managing a different vendor per store.
One number per rooftop, tied to AI-referred leads in the CRM — proof their store is the named answer in their metro.
The same processized playbook on every store, sequenced by which metros are most winnable — and rolled up into one portfolio review every month.
We scan and audit every rooftop in parallel and place each on the L0–L3 ladder. You get the rollup on day one.
NAP, GBP, schema, speed and inventory feeds fixed consistently across the whole portfolio to clear L1.
Answer-first content, FAQ schema and triangulation enforcement, prioritized by which metros are most winnable.
Run the cadences per rooftop, chase L3 on target queries, and hold the slot once a store has won it.
Per-rooftop scores roll up into one portfolio review — what moved, what's at risk, and the next-month plan.
Each rooftop gets a composite AI Visibility Score decomposed into foundation health, AEO readiness, citation share and sentiment — scored on ChatGPT, Google AI Overviews, Perplexity and Gemini. Those per-store, per-surface numbers are what roll up into the group dashboard, with AI-referred leads attributed in each rooftop's CRM.
Start with a free audit across your rooftops. We'll show you where each store stands on every AI surface, which metros are winnable, and which deals are leaking right now.