Data
Questions, answers, brands, models, dates and sources.
Strategic AI Visibility Audit
See where your brand appears, why it loses and what to change first.
The audit combines buyer research, measurement data, competitor and source analysis, and a prioritised roadmap with a measurement plan.
From 2,900 PLN net
Your team, AiVisible or another partner can implement the roadmap. A Sprint is never required.
Audit outcome
Decision material — not a tool export
1Buyer-question map
2Baseline and competitors
3Sources and brand description
490/180-day roadmap
5Plan for the next measurement wave
The system gathers evidence; the strategy considers customer value, offer strengths and organisational capacity.
Seven questions
An audit answers the questions needed to make a decision.
Where is the brand present?
Where is it omitted?
Who is winning?
Which sources does AI use?
How do models understand the offer?
Which actions have the strongest potential?
How should the result be measured?
Scope
Automated data collection is the beginning, not the end of an audit.
Interpretation
What the gaps mean for market position and the buyer journey.
Roadmap
Priorities based on impact, cost and dependencies.
Deliverables
You receive a roadmap, not a list of generic recommendations.
strategic report
buyer-question map
competitor matrix
source map
90/180-day roadmap
results workshop
definition of the next measurement
Important:Pricing depends on the number of markets, languages, categories, competitors and buyer questions.
Qualification
An audit only makes sense when there is capacity to act.
a stable offer or product
an important buying situation
real competitive strengths
an implementation owner
acceptance of measurement without a guaranteed ranking
Delivery
The audit moves from hypotheses to an agreed decision.
Evidence trail
From question to finding without losing context
Active system structure
01
Prompt set
category · intent · version
02
Model run
model · date · market
03
Answer
full answer · sources
04
Coding
brands · arguments · type
05
Finding
observation · limitation
Measurement ID
Unique run identifier
Unique run identifier
Analysis-rule version
Criteria used in the measurement
Criteria used in the measurement
Reviewability
Full answer behind every finding
Full answer behind every finding
1. Kick-off and buyer research
We organise segments, buying situations, criteria and sales-team knowledge.
2. Measurement and analysis
We collect answers, brands, reasoning and sources in the agreed scope.
3. Interpretation
We connect the evidence with your offer, strengths and organisational limits.
4. Results workshop
We agree the roadmap, owners, dependencies and next measurement.
Example output
Every priority has a cause, owner and verification method.
observation from source data
meaning for the buyer journey
recommended change
dependencies and organisational cost
owner on the client or AiVisible side
metric and conditions for the next wave
Next step
Define the category and scope needed for a strategic decision.
The first conversation is not a universal package sale. We assess fit and research complexity.
FAQ
Questions before you decide
Is an audit an automated report?
No. The system collects evidence; strategic work adds buyer research, interpretation, priorities and a measurement plan.
Do we have to buy implementation?
No. The roadmap is an independent outcome that any team can implement.
How long does an audit take?
Timing depends on categories, markets, languages, competitors and workshops. We confirm it with the scope.
Does it include technical SEO?
It includes technical factors relevant to how systems understand brand and content, but does not replace a full-site technical SEO audit.
What if the audit does not justify investment?
That is a valid outcome. The roadmap may recommend foundation work, a lower priority or no further investment.
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