Start with the exact customer question.
We confirm the business, category, market, and language a serious buyer is likely to use before calculating anything.
How Frontier Rank improves discovery over time.
We begin with the questions customers actually ask, find out which businesses appear, and trace the public evidence influencing those answers. Then we improve what is unclear and return to the same questions to see what changed.
Most visibility tools stop after showing a score. That is useful for diagnosis, but a business owner still needs to know what to do next. Frontier Rank connects the answer to the website, Google presence, reviews, content, citations, and outside sources that may be shaping it.
The work follows a simple sequence.
Each pass leaves a dated record connecting a customer question to an answer, the evidence behind it, the work completed, and the result of the next test.
Find out who appears and why.
We separate AI mentions, local position, website readiness, reviews, citations, and business facts instead of hiding every signal inside one average.
Fix the smallest credible gap first.
That may be a service page, a Business Profile, inconsistent facts, thin review evidence, or the absence of trustworthy outside confirmation.
Return to the same questions.
The prompts stay unchanged. We record the answer, recommendation order, citations, source status, and anything that failed to run.
Keep the record honest.
If nothing moves, that stays in the record too. A dependable operating history is more useful than a manufactured win.
A mention, a local position, and a website score are not the same thing.
We keep them separate so an attractive average cannot hide a weak signal or imply a ranking that was never measured.
| Measure | Question it answers | Primary evidence | Guardrail |
|---|---|---|---|
| AI engine mentions | Did the answer clearly name or recommend the business? | Saved answer checks and citations | Proxy or sample outputs do not count |
| Recommendation position | Where does the business sit in a locked local comparison set? | Google Local Finder, Maps, and named competitors | No precise position without a locked market |
| AI visibility | How strong is the combined discovery evidence? | Engine proof, local visibility, citations, reviews, website | Shown as a blended readiness score, not raw rank |
| AI website readiness | Can machines and buyers understand and trust the site? | Readability, conversion confidence, design confidence | Capped when service, location, proof, or crawlability is weak |
Not every result deserves the same confidence.
A fast public preview should never be presented like a full audit. The more exact the claim, the more of the source record we retain.
Directional preview
A low-cost public estimate for first diagnosis. Language uses “around,” “appears,” and “likely gap.” It does not claim exact engine mentions or rank.
Source-locked audit
Exact entity, market, provider statuses, prompts, competitors, score version, and timestamp. Suitable for decisions and implementation planning.
Client reporting
Repeated checks plus connected analytics where available. Suitable for trend language, before-and-after evidence, and business outcomes.
We concentrate on the places customers are most likely to use.
Today that means ChatGPT and the Google discovery ecosystem: Gemini, AI Overviews, AI Mode, Search, and Maps. Other engines are monitored without pretending they all carry equal local-business value.
ChatGPT
Fresh buyer-prompt answers, brand mentions, recommendation order, cited sources, and answer accuracy.
Gemini, AI Overviews, AI Mode, organic discovery, Maps, Local Finder, and Search Console evidence where available.
Other engines
Claude, Perplexity, Copilot, Grok, and Meta AI are reviewed as their reach, access, and local-business usefulness change.
See the method applied to your market.
Start with a public-data preview, then lock the business and location before making exact claims.