AI Visibility
See if AI recommends your business.
Rule & Form asks the questions your customers ask ChatGPT and Gemini, then shows whether your business appears, who shows up instead, and what the answers were based on.
How it works
Three steps. That is basically it.
We ask.
We build real buying questions around what your business does and where you work.
We measure.
We run those questions through supported AI systems and record what actually happens.
You see the result.
See recommendations, competitors, sources, and the patterns that deserve attention.
Simple to use. Serious underneath.
Simple to use.
Serious underneath.
AI answers change. A mention is not always a recommendation. A failed response is not the same as being absent. And two scans are not always comparable.
Rule & Form keeps those differences intact so the result means something.
AI Visibility
Results you can actually inspect.
Every result starts with the actual answer returned by the AI system. A metric should never be a black box.
The answer behind the number
See exactly what happened.
Open a measurement and see the question, the engine, the response, whether your business was identified, and how Rule & Form interpreted it.
Who do you recommend for emergency plumbing in Abilene, Texas?
“Ridgeline Plumbing was recommended for emergency service in Abilene.”
“No clear recommendation for Ridgeline Plumbing in this answer.”
Repeated measurement
One AI response should not define your visibility.
AI systems can answer the same question differently from one run to the next.
Rule & Form checks questions repeatedly and only treats a measurement as usable when enough valid evidence exists.
Variability is part of the measurement, not something we hide.Measurement coverage
A failed check is not counted against you.
Sometimes an AI system does not return usable evidence.
Rule & Form keeps unavailable measurements separate from genuine non-recommendations, so missing data cannot quietly become a bad result.
Questions
Measure the questions that actually matter to your business.
Rule & Form builds buyer questions from your established services and market. The business comes first. The measurement is built from it.
Buyer questions
Measure what customers really ask.
Who do you recommend for emergency plumbing in Abilene, Texas?
Who installs tankless water heaters in Abilene?
Best plumber for a sewer line replacement in Abilene?
Question management
See what is being measured. Change it when you need to.
Customers can review the questions Rule & Form tracks, add questions, disable ones that do not matter, and keep the panel aligned with the business.
Once a scan begins, the measurement inputs are preserved so the result can be reproduced and understood later.
Market grounding
The market is part of the question.
AI systems do not all expose location in the same way. Rule & Form makes the service market explicit in the buyer question itself, so the scan measures the city and market the business actually serves.
We do not pretend “near me” is a precise measurement when the underlying system cannot prove what “near” means.Competitors
See who gets recommended when you do not.
Rule & Form records the other businesses that appear across the same buyer questions you are tracking.
Recommendation space
See the businesses around your services and market.
That makes it possible to see which competitors repeatedly occupy the recommendation space around your business.
Recommendation detection
Being named is not the same as being recommended.
AI answers can mention a business in several ways. It may recommend it, list it as an alternative, compare it with another company, mention it incidentally, or speak negatively about it.
Rule & Form keeps those states separate.
Visibility is more useful when every appearance does not get counted as a win.Position
No made-up rankings.
Some answers clearly rank businesses. Others do not. Rule & Form only assigns a position when the answer itself supports a defensible order.
Precision is useful only when it is earned.Recommendation share
See the space you actually occupy.
Individual answers are useful. Patterns across many questions are more useful.
Rule & Form can aggregate recommendation activity across the measured question set so you can see which businesses repeatedly appear and where your own business is winning or missing.
Recommended on 8 of 20 measured questions.Sources
See what appeared behind the answer.
AI recommendations do not appear in a vacuum. Rule & Form records the websites and other sources that appear with tracked answers, including your own site, directories, listings, and review platforms when the provider exposes them.
Sources observed
See what AI was reading.
Source patterns help you understand which places are shaping the answers your business does and does not appear in.
Source evidence
Appearing with an answer and being explicitly cited are not always the same thing.
Different AI systems expose source information differently. Rule & Form preserves that distinction rather than collapsing every source signal into the same bucket.
Unknown is a real state.Evidence trail
Every claim should lead back to the answer that produced it.
Rule & Form keeps the original provider evidence before creating summaries, metrics, or Findings.
That means a published result can be inspected against the underlying answer rather than relying on a loose explanation generated later.
Findings
See what keeps happening.
A single answer can be noise. Rule & Form looks across the scan for repeated, evidence-backed patterns that deserve attention.
Evidence-backed observations
Findings turn a scan into something you can investigate.
Your website appeared as a source in 2 of 18 evaluable answers.
A competitor was recommended across 11 questions where your business was absent.
Review platforms appeared frequently in answers for emergency plumbing questions.
Competitor appeared across 13 measured answers
No invented causality
We stop where the evidence stops.
If Yelp appears across answers where a competitor is recommended, Rule & Form can prove that pattern.
It cannot honestly claim that getting listed on Yelp will cause your AI visibility to improve unless the evidence supports that conclusion.
We would rather tell you what we know than make up why it happened.History
See what changed over time.
Each published scan becomes part of the business’s measurement history. When the same measurement can be compared fairly, Rule & Form can show movement across recommendation activity, competitors, sources, and Findings.
Measurement integrity
Sometimes the honest trend line is no trend line.
If the tracked questions materially change, Rule & Form does not pretend the new scan is identical to the old one.
A clean chart is not more important than a truthful one.
The system underneath
What Rule & Form measures.
AI Visibility
Know where your business stands when customers ask AI who to hire.
See the questions, answers, competitors, sources, and Findings behind your visibility.