KAJ Analytics KAJ AI Visibility

How the audit works

How our AI Visibility Audit works

The AI Visibility Snapshot tests buyer-style prompts, reviews how AI describes your business, checks competitor mentions, and identifies source gaps that may affect whether AI can recommend you confidently.

What we test

We focus on how a real buyer might ask for help.

Buyer prompts

Questions about who to hire, which business is reliable, and what company serves a specific local need.

Business understanding

Whether AI can identify your services, location, service area, and trust signals accurately.

Recommendations

Whether AI presents your business as a suitable option, not just whether it can find your name.

Source gaps

Whether the web gives AI enough clear, corroborated proof to support your business in local answers.

Definitions

What the report language means.

Mention

AI names or clearly identifies your business in a tested answer.

Recommendation

AI presents your business as a suitable provider for the buyer's stated need.

Source gap

A missing, weak, inconsistent, or unclear source signal that may reduce confidence in your business.

Competitor displacement

A competing business appears in the answer where your business could reasonably have been considered.

Platforms and prompts

The audit uses fixed and focused prompt checks.

Fixed prompt battery

Core prompts check whether AI understands the business, category, location, recommendation fit, competitors, and source support.

Focused follow-ups

Follow-up prompts dig into local visibility, branded proof, recommendation gaps, source classification, and competitor evidence.

Provider-dependent answers

Enabled AI providers can vary by environment and configuration. The report reflects the providers and sources available at run time.

What it can and cannot prove

Use the report as a diagnostic, not a guarantee.

The Snapshot can show how AI currently describes your business, whether competitors appear, and what source gaps may be limiting visibility. It cannot promise future AI answers, ranking positions, lead volume, or permanent recommendations.

Can showCurrent gaps
Can showCompetitor mentions
Cannot promiseRankings
Cannot promiseFuture answers

How to use the report

Turn the Snapshot into practical work.

Clarify what you do

Use findings to improve service pages, buyer questions, and location-specific explanations.

Strengthen proof

Close review, citation, project, directory, and third-party mention gaps where they matter.

Compare competitors

Review which businesses AI mentions and what visible proof may support them.

Monitor changes

Use monthly monitoring if you need repeated runs after website, SEO, or reputation improvements.

FAQ

Methodology questions.

Why can AI answers vary?

AI answers can change based on timing, model updates, user phrasing, location, available sources, and other factors.

What does a mention mean?

A mention means the AI answer names or clearly identifies the business in response to a tested prompt.

What does a recommendation mean?

A recommendation means the AI answer presents the business as a suitable option for the buyer's need, not just as a passing reference.

What can the audit prove?

It can show point-in-time visibility patterns and gaps. It cannot prove permanent rankings or guarantee future AI recommendations.

Use a Snapshot to identify what to fix first.

Point-in-time visibility, competitor mentions, and source gaps in one private report.

Start Your AI Visibility Snapshot