Free AI visibility audit
Find out whether AI search can see and recommend your brand
We check a focused set of commercial questions across major AI answer experiences, review the sources behind the results and show where your owned pages are helping or holding you back.

Direct answer
What the audit answers
The audit answers a practical question: when a Malaysian buyer asks for this category, does the brand appear, how is it described and which sources shape the answer? It is a dated observation, not a permanent visibility score.
We agree a focused query set before testing. Branded, category, problem, comparison and decision-stage questions are separated so a favourable branded answer cannot hide weak discovery among buyers who do not already know the company.
- Current-answer snapshot
- Brand and competitor inclusion
- Cited domains and URLs
- Answer role and limitations
Deliverable
What you receive
This is a decision tool, not a generic scorecard. The output records the test date, question wording and platform context, then connects observed gaps to the relevant owned pages and technical foundations.
Actions are prioritised by commercial relevance and implementation value. A long list of low-impact content ideas is not useful when crawl, entity or priority-page problems are blocking the strongest opportunity.
- Current-answer snapshot for priority questions
- Brands and sources appearing instead
- Technical, entity and content gaps
- A short list of highest-leverage actions
Inputs
What we need from the business
Provide the website, priority products or services, main Malaysia audience, genuine service areas and the competitors customers actually compare. Share existing search or analytics access where available and identify facts or claims that require approval.
Missing information is recorded rather than guessed. A company without a Malaysian office is assessed as a regional operator serving Malaysia; the audit does not manufacture local entity signals.
- Website and priority offer
- Audience and market
- Known competitors
- Search or analytics access where available
- Fact and claim approver
Method
How the baseline is measured
Each observation records the exact question, date, market context, brand inclusion, answer treatment and cited source. The same set can then be repeated after implementation. Generative answers vary, so individual examples are not converted into market-share claims.
AI observations sit beside indexation, rankings, owned-page visibility and qualified business actions. These signals answer different questions and should not be blended into one invented score.
- Stable query set
- Dated answer evidence
- Cited URL relevance
- Owned-page and crawl context
- Business action where measurable
Fit
Who the audit is for
The audit is most useful for established Malaysian businesses with a real offer, website and competitive category. It can expose whether the limiting factor is discoverability, evidence, page clarity, technical eligibility or the absence of credible local-market information.
It is not a substitute for product-market fit, a complete technical audit or a promise of guaranteed visibility. Very new businesses may first need a clear offer, trustworthy website and basic source material before recurring AI-search measurement becomes useful.
Limits
What the audit will not claim
Independent platforms control rankings, citations and recommendations. AI Studio does not guarantee a specific placement, number of citations, lead volume or timeline. The audit guarantees only the agreed research surface, transparent evidence and an honest prioritisation of what can be improved.
If the brand already performs strongly for the tested questions, the finding will say so. The commercial recommendation may be a narrow fix, a hold-and-measure period or no larger engagement.
- No guaranteed placement
- No fabricated local proof
- No universal score from a small sample
- No forced retainer recommendation
Next step
What happens next
If the gap is meaningful, we can scope a focused AEO, GEO and SEO programme against the kickoff baseline. The first phase should cover one commercial cluster, its strongest page, technical dependencies and the evidence needed to make it useful.
If the site is already strong, we identify the narrower opportunity or the reason to hold. Expansion is based on implementation quality and measured need, not on producing a large number of near-duplicate pages.
- Fix
- Hold and measure
- Run a representative phase
- Scale only after evidence
Client feedback
What clients say
Approved anonymised feedback from APAC engagements. Names are pseudonyms; roles, verticals and regions are shown.
“AI Studio turned a complex regional brief into a clear creative system our team could actually use.”
“The work arrived fast without losing the premium finish or the details that matter to our brand.”
“We moved from one campaign idea to a complete set of usable assets while keeping the product accurate.”
Questions
Clear answers before a call
The visible answers below exactly match the structured data supplied to search and answer systems.
What does the free AI visibility audit check?
It checks a focused set of commercial questions, the brands and sources appearing in AI answers, and the technical, entity and content signals on your site.
Which AI platforms are included?
The exact mix depends on the query and access available at the time. The audit can cover major answer and generative search experiences, with each observed result dated and identified.
Does the audit guarantee an AI citation?
No. It establishes a baseline and identifies actions that may improve the brand's eligibility and evidence. Rankings and citations remain controlled by independent platforms.
How do I request the audit?
Book a strategy call and share your website, priority market, main competitors and the questions you want customers to find you for.
Start with the real brief
Make the next campaign easier to find and harder to ignore.
Tell us the audience, product and commercial result that matter. We will shape the smallest useful first engagement and the proof needed before scale.