Prompt groups
3-5
01 / AI visibility audit
ChatGPT visibilityAI brand mentionsAnswer engines
AI visibility audit for brands that need to know who AI is recommending.
The audit tests how a business appears across AI answers, search summaries, local proof, and competitor comparisons, then turns the findings into a practical action list.
The goal is not to chase every model. The goal is to understand whether the public evidence around the business is strong enough for AI systems and buyers to include it in the consideration set.
Answer surfaces
4+
Competitors mapped
5-10
Next moves
Prioritized
02 / Problem
AI answers can remove you from the market without saying anything negative.
A buyer can ask an AI system for the best provider, strongest option, local comparison, or trustworthy business in a category and never see your name. That is a visibility problem even if your website still exists and your rankings look fine.
The audit looks at the public market record: your pages, reviews, profiles, citations, third-party mentions, competitors, and source material. The question is whether those signals make you easy to include.
This is where AI visibility, SEO, AEO, GEO, local proof, SEM, and reporting start to overlap. The output should not be a bigger dashboard. It should be a better next move.
03 / Surfaces tested
The audit checks answer systems and the proof behind them.
Exact tools and prompts depend on the business, market, and buyer journey. The point is to test real questions, not vanity prompts.
01
ChatGPT and AI assistants
Test category, comparison, local, and brand-specific prompts to see whether the business is named, ignored, or described accurately.
02
Gemini and AI summaries
Review how Google-connected answer surfaces frame the category, which sources appear to matter, and which competitors become default options.
03
Perplexity and cited answers
Look at cited responses, source patterns, competitor mentions, and whether the business has enough public proof to be included.
04
Google, maps, and local proof
Connect AI answer visibility back to search results, business profiles, reviews, citations, service pages, and local-market signals.
Example readout
What the prompt table starts to show.
Prompt
Best [category] provider in [market]
Status
Not named
Competitors appear because they have clearer category pages, review themes, and third-party proof.
Rewrite the core category page and connect it to stronger local proof.
Prompt
Compare [brand] with other options
Status
Competitor-led
The answer has enough public information to describe competitors, but not enough to describe the business confidently.
Create comparison content and make service proof easier to verify.
Prompt
Who is best for [specific use case]?
Status
Unclear
The business may be relevant, but the use case is not explicit on the website or in public profiles.
Add use-case sections, FAQs, review language, and examples tied to the buyer problem.
Prompt
Is [brand] trustworthy?
Status
Partially visible
Reviews are positive, but the answer relies on generic ratings instead of specific service or outcome proof.
Surface review themes and improve the review request language around concrete outcomes.
04 / Outputs
What you get from the audit.
The useful deliverable is a clear diagnosis: where you appear, who appears instead, why that may be happening, and what to fix first.
Prompt set
The questions buyers are likely to ask before choosing a business, agency, provider, clinic, dealership, or local operator.
Visibility status
Whether the business is named, cited, recommended, compared, partially visible, or missing across each answer surface.
Competitor map
Which competitors show up instead, how often they appear, and what public proof seems to support their inclusion.
Source and proof gaps
The pages, profiles, review themes, citations, third-party mentions, and content assets that are missing or too vague.
Action list
A short operator-ready list of fixes across website content, local profiles, reviews, comparison pages, SEM, and reporting.
Retest plan
A simple cadence for checking whether the changes improve mentions, citations, competitor movement, and answer tone.
05 / Process
A simple audit cadence.
The work is designed to be useful for a founder, operator, marketer, or agency team without turning into a sprawling research project.
01
Define the market
Choose the business, category, locations, competitors, service lines, and buyer questions that matter most.
02
Run the prompt set
Test real customer questions across AI assistants, answer engines, search summaries, and local-search surfaces.
03
Map who appears
Record whether the business appears, which competitors appear instead, what sources are cited, and how the answer frames the market.
04
Trace the proof gaps
Connect missing visibility to weak pages, vague profiles, thin local proof, review gaps, missing comparisons, or source problems.
05
Prioritize actions
Turn the audit into a short list of changes that a founder, marketer, operator, or agency team can actually execute.
06
Retest the answers
Use the same prompt set again after changes to see whether mentions, citations, rankings, and answer tone improve.
06 / Good fit
Useful before you spend more money on visibility.
You are unsure whether AI systems mention your business when buyers ask category questions.
Competitors are being recommended more often than you in AI answers or local search.
Your SEO report shows rankings but not whether the market is describing you correctly.
You are considering new content, local SEO work, SEM spend, or an agency engagement and want a sharper diagnostic first.
You are an agency team that needs a second read on AI search visibility, proof gaps, and reporting.
Search language
The vocabulary is still settling.
AI visibility audit
AI search visibility audit
ChatGPT visibility audit
AI brand mentions
LLM SEO consultant
Answer engine optimization consultant
Generative engine optimization consultant
AI answer audit
07 / Related pages
See the sample, then bring your market.
Sample deliverable
Sample AI Visibility Snapshot
A fictional but practical example showing prompts, visibility status, competitor mentions, proof gaps, and next actions.
OpenLocal SEO page
SEO Consultant Melbourne
The local search page for Melbourne operators who want SEO work connected to AI visibility, local proof, and reporting.
Open08 / FAQ
Questions about AI visibility audits.
What is an AI visibility audit?
An AI visibility audit checks whether a business is named, cited, recommended, compared, skipped, or replaced when AI systems answer buyer questions. It connects those answers back to public proof, website content, local profiles, reviews, and competitor signals.
Which AI tools do you check?
The audit can include ChatGPT, Gemini, Perplexity, Google AI summaries or AI Overviews, and related local-search surfaces. The exact prompt set depends on the business, category, market, and buyer journey.
Is AI visibility the same as SEO?
No, but it overlaps. SEO focuses on search visibility, pages, rankings, technical foundations, content, and authority. AI visibility focuses on whether answer systems can understand, trust, cite, and include the business when summarizing options.
What does the audit produce?
The output is a practical readout: prompts tested, answer summaries, competitor mentions, source patterns, proof gaps, and recommended next actions across content, local profiles, reviews, citations, SEM, and reporting.
Can an AI visibility audit help a local business?
Yes. Local businesses often have proof scattered across reviews, business profiles, maps, directories, location pages, and third-party mentions. The audit shows where that proof is strong, where it is missing, and how competitors are being framed.
Can you guarantee that ChatGPT or Google will recommend a business?
No. Nobody can guarantee inclusion in AI answers. The useful work is to make the business easier to understand and verify, then retest whether the answer surfaces change.
Is this useful before hiring an SEO agency?
Yes. A focused audit can clarify what is actually missing before a business commits to an agency retainer, content rebuild, local SEO campaign, or paid search push.
Do you provide this as a one-off consult?
Yes. A consult can be used to review the market, discuss likely proof gaps, and decide whether a deeper AI Visibility Snapshot or reporting system makes sense.
09 / Next step
Start with the business, market, and competitors.
If you want to know whether AI systems are recommending you, skipping you, or relying on competitors instead, bring the market and the question. We can work through the first read together.