01
Prompt set design
Build a mix of branded, unbranded, comparison, recommendation and buyer-intent prompts tied to the actual customer journey.
AI Visibility Audit
AI visibility audits that show where your brand appears, where it is absent and what the sources suggest.
Grow Marketing Hub benchmarks a brand across defined branded and unbranded prompts, source and citation patterns, competitor mentions, factual accuracy and available first party platform data. The goal is a repeatable baseline, not a collection of random screenshots.
Outcomes
What an AI visibility audit should uncover.
- Separate simple brand retrieval from genuine category or recommendation visibility
- Identify prompts where competitors appear but your brand does not
- See which pages or external sources are being cited where platforms expose citations
- Find factual inconsistencies, weak buyability and missing entity information
- Create a dated baseline that can be repeated after implementation
What we work on
What an engagement can include.
- Branded and unbranded prompt framework
- Platform-by-platform answer-set snapshots
- Mention and citation inventory
- Competitor visibility comparison
- Source and grounding-query review where available
- Fact consistency and entity-gap review
- Buyability and next-step analysis
- Prioritized AI visibility action plan
Process
A clear path from evidence to execution.
We start with the current search baseline, prioritize the highest-impact gaps and validate what changes after implementation.
01
Define the audience, prompts, markets and platforms to test
02
Capture a dated baseline and inspect visible sources and competitors
03
Classify gaps across facts, entities, content, evidence and conversion
04
Prioritize changes and define how the benchmark will be repeated
Measurement method
A prompt snapshot is evidence of one observed answer, not a universal ranking.
AI output can vary by model, prompt, date, location, session and product changes. We record the exact test conditions and separate observed answer-set positions from official metrics such as Bing AI citation data.
What we review
The areas that shape this work.
The exact scope depends on the website, platform, current performance and business priority.
02
Brand retrieval vs discovery
Check whether the system can find the brand by name and separately whether it surfaces the brand when the user asks only about the category or need.
03
Mentions & citations
Record whether the brand appears and which pages or sources are referenced when the platform exposes source information.
04
Competitor comparison
Compare which competitors appear, how they are described and which sources seem to support their visibility.
05
Fact accuracy
Check names, products, services, locations, pricing context, availability and other decision-critical facts for missing or incorrect information.
06
Buyability & action
Evaluate whether a user can confidently visit, compare, book, contact or buy after receiving the answer.
Best fit
When an AI visibility audit is most useful.
The strongest fit is where this service solves a real search, site or growth problem rather than being added as a generic SEO task.
Before GEO/AEO work
Create a baseline so later changes can be compared against the same prompt framework.
Brand visibility questions
The business wants to know whether relevant AI tools mention it for non-branded category or recommendation prompts.
Competitive markets
Competitors appear frequently in AI answers and the business needs to understand the source and evidence gap.
eCommerce & local discovery
Customers use AI to compare products, services, locations or providers before taking a commercial action.
Prompt design
Test the questions that could influence a real buying decision.
We group prompts by intent such as discovery, comparison, recommendation, product or service fit and branded verification. A fixed set makes later checks more meaningful because the conditions are consistent.
Interpretation
An audit can identify gaps without pretending to reveal a model's private reasoning.
We can observe what is surfaced, which sources are visible and where the website is weak. We do not claim certainty about why a model chose one brand over another when the platform does not provide that explanation.
SEO questions
Common questions about AI Visibility Audits.
Which AI platforms can be included in an audit?
The audit can include selected AI-assisted search and answer platforms that are relevant and accessible at the time of testing. Because product availability and output change, the final report records the specific platforms and dates used.
How many prompts should be tested?
There is no universal number. The prompt set should be large enough to represent the important customer journeys without creating hundreds of redundant variations. Branded, unbranded, comparison and high-intent prompts are usually separated.
Is an AI visibility score a real ranking?
Not necessarily. Composite scores can be useful internal summaries, but they should not be confused with a universal platform ranking. We preserve the underlying prompt, mention, citation and source evidence.
Can you track AI citations over time?
Yes where a platform exposes repeatable citation data or where a defined prompt benchmark can be rerun. Bing Webmaster Tools, for example, now provides AI citation and grounding-query data in public preview.
Why test branded and unbranded prompts separately?
A system may retrieve a brand correctly when given the exact name while never recommending or mentioning it for broader category questions. Separating those tests gives a more useful picture of real discovery.
Free growth audit
Find the biggest AI visibility gap first.
Share your website and goal. We will review where visibility, page intent, technical issues or conversion paths are most likely holding growth back.