Ask ChatGPT, Gemini, or Perplexity about you and it answers instantly — summarizing your reviews, repeating complaints, sometimes stating things that aren’t true. Reputation Defense is phase one of the AI Ranking Program: correct the record, earn the recommendation, and prove the answer changed.
Reputation tools manage your Google stars. AEO tools chase whether AI mentions you. Neither fixes the reputation narrative AI uses to decide whether you deserve the recommendation.
Birdeye, Podium. Manages reviews — and never sees what AI says.
AI visibility dashboards. Tracks mentions — and doesn’t defend the narrative or move the ranking.
We correct the record, build the trust signals, and re-run the same prompts to prove movement on real devices.
The baseline tests the reputation prompts buyers and AI engines use before a recommendation. Then the AI Ranking Program fixes the source signals and re-runs the same questions.
cosmetic dentistry
The practice is reputable, but the engine does not see enough packaged cosmetic-specialist proof.
The practice is reputable, but the engine does not see enough packaged cosmetic-specialist proof.
Publish verifiable procedure proof, structured service pages, and review language that matches the buyer prompt.
veneers dentist
AI names three practices first and frames them as easier recommendations for the buyer.
AI names three practices first and frames them as easier recommendations for the buyer.
Close the source and reputation gaps that AI uses to justify the current winners.
local proof
The baseline checks whether map facts, site facts, and directory facts tell the same story.
The baseline checks whether map facts, site facts, and directory facts tell the same story.
Repair GBP, schema, citations, and source pages before the re-capture.
Correct location, hours, categories, services, and duplicate-entity confusion.
Increase fresh proof and resolve repeated review-summary objections.
Make locations, providers, services, and credentials machine-readable.
Align AI-readable service claims with what is actually offered.
Repair listings, directories, articles, or stale citations AI repeats.
Add reputable third-party context where AI needs outside corroboration.
Reputation findings are scored into the same execution blueprint as rankings: severity, revenue risk, source of truth, competitor advantage, and speed to re-capture. The goal is not only to clean up the answer. It is to make AI confident enough to recommend the business.
Gap reports show the damaging AI narrative that blocks recommendation lift. Winner reports show which trust signals must be defended before the lead decays.
Download a sample gap reportEvery one of these is a customer lost silently — or a liability you didn’t know you had. We surface them across all three engines, in every market you operate.
AI tells a ready-to-buy customer your open location no longer exists. The single most expensive error — it zeroes out demand for that site.
It says you close at 5pm when you’re open until 8pm — sending evening customers to a competitor that “looks open.”
AI recommends a treatment you retired — or one you never offered — setting up a disappointed first visit.
It routes walk-ins to an address you vacated, or hands out a phone number that no longer rings.
It repeats an old complaint as current fact, or invents a claim about your business outright — stated to the customer as truth.
AI blends your brand with a similarly named business — crediting their reviews, or their failures, to you.
In 2024, a tribunal held Air Canada liablefor false information its own AI chatbot gave a customer — rejecting the argument that the bot was a separate entity. In 2025, a solar company sued Google after its AI falsely said the firm had been “sued for deceptive practices”; a customer cancelled a $150,000 contract, and the claim runs to nine figures. When an engine states something false about yourbusiness, the exposure is just as real — except you don’t control the source, and most brands have no record it ever happened. The audit is that record.
Every error is documented the way evidence has to be: what the engine said, where, and when.
Frames a cosmetic-led dental practice as a “highly regarded neighborhood practice” for general care — and seats it #12, behind the “top-tier aesthetic studios,” on the veneer query it competes for.
The mispositioning lives in the signals the engine reads — review mass and specialist proof — not in the dentistry. We correct those signals at the source, then re-capture to prove the answer changed.
Until the source is fixed, patients asking for veneers in that market are routed to the practices the engine names first.
The false answer exactly as the customer saw it, full-frame.
The metro and device context the answer was captured in.
When it was said, to the second — so a correction is provable.
The underlying data the engine read, so the fix is targeted.
Start free. Month one includes the AI Ranking + Reputation Defense Baseline. The subscription fixes the source signals, re-runs the same market prompts in 14-30 days, and keeps the answer right.
One prompt, one city: the AI’s verdict on you, screenshotted and emailed. No card.
Get the free Ranking SnapshotEvery engine, every market: what AI says, what is wrong or repeated, and the fix plan weighted for the first 14-30 day proof window.
Book reputation teardownReview velocity, hallucination correction, and source repair are the first phase of the done-for-you retainer — then the same weighted plan expands into full AI ranking (Prove → Lead → Own).
See retainer pricing