Not one AI.
An accountability platform.
Three AI engines, 11 training sources, and a deflection library that anticipates vendor pushback before it happens. Built specifically for automotive dealerships.
The full story
We're not a single AI assistant. Contactter is a three-engine intelligence platform built specifically for automotive dealerships. One engine inspects your website and generates clinical SEO baseline reports. Another monitors your market and produces hyper-local content that national sites can't compete with. A third stands ready when your vendor pushes back — armed with your data, industry standards, and a library of every deflection pattern in the book.
We sent our engines to class first. Google's Digital Marketing certification. Their SEO Starter Guide — cover to cover. GA4 certification. HubSpot's SEO framework. Not skimmed. Studied. Every finding we produce maps back to published standards that anyone can verify.
Then we fed them years of LinkedIn posts, articles, case studies, and industry commentary from the people actually doing automotive SEO day to day. Not textbook SEO — dealer SEO. The vendor promises. The platform quirks. The gaps that show up at every Dealer Inspire site, every DealerOn build, every Jazel deployment.
Then we built them to withstand scrutiny. A six-pattern Preemptive Deflection Detection library anticipates every move an SEO vendor makes before they make it. And our engines review each other's work — a quality control layer most human agencies don't have.
Three engines. One mission.
Each engine has a distinct role. They share data but serve completely different functions — and they review each other's work.
The Baseline Builder
Fires on Day 1 when a dealer onboards, then monthly for updates. Crawls the site, pulls competitor data, benchmarks everything, and generates a clinical inspection report. The dealer doesn't interact with it — the machine runs, produces the report, done.
The SEO Expert
Fires on demand when a dealer receives vendor pushback. Parses the vendor's language, detects deflection tactics, cross-references claims against the dealer's baseline data, and generates a rebuttal with a follow-up email ready to send.
The Content Engine
Scans weekly keyword gaps, trending searches, competitor content, and OEM incentives. Generates 3 hyper-local blog choices — specific to the dealer's market, not generic. Dealer picks one, and the system drafts it with neighborhood names, local highways, and regional details.
11 sources. Zero black boxes.
Every finding in every report traces back to one of these sources. When a vendor challenges a recommendation, the response comes from the same documentation Google publishes, the same frameworks the industry's top practitioners use, and the same conversion taxonomy the Automotive Standards Council defined.
8 scored areas. Every dealer. Every time.
Transparent methodology. Color-coded results. Every score connects back to revenue impact.
Preemptive Deflection Detection
6 patterns. Identified before the vendor even responds. Each one has a data-backed counter-response ready to go.
We know your platform
We know their default configurations, their common gaps, and their limitations. When we flag an issue, the action item tells you exactly who should fix it — your platform provider, your SEO vendor, or your internal team. Nobody gets to say "that's not my job."
How we benchmark
We don't compare you to national averages. We compare you to the dealers in your actual market competing for the same customers. If your competitor has 370 fewer reviews but better digital execution and is outranking you, that's the story the data tells — and we'll show you exactly where the gap is.
Educated. Battle-tested. Built as a team.
Not one AI — an accountability platform.
We provide the inspection. They provide the work. We come back and verify it got done. That separation is what keeps the analysis honest and the recommendations defensible.
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