Your buyers already ask ChatGPT and Gemini who to work with. The audit shows whether you are named, what is said about you, why, and exactly what to fix, in Arabic and English, on record.

Buyers see answers about your company every day that you have never seen once.
When the answer recommends three companies and you are not one of them, the deal starts without you.
Ask the same question three ways and you can get three different shortlists. Without structured testing you see only one.
The engines draw on different sources per language, so being visible in one says nothing about the other.
Improving AI visibility without a measured starting point is spending effort with no way to prove movement.
It sits between marketing, sales, and IT, so in most companies nobody has actually checked.
An AI visibility audit is a structured test of what AI engines answer when buyers ask the questions that matter to your business. The same set of real buyer questions is run across ChatGPT, Gemini, Perplexity, and Google AI Overviews, in Arabic and English, and every answer is recorded. The result is a documented baseline: where you are named, where competitors are named instead, the reasons behind both, and a prioritized plan to change it.
The audit is a product with a defined scope, not an open-ended engagement.
The real questions your buyers ask, built with you, in Arabic and English. This set becomes the fixed yardstick for every future run.
What every engine answered for every question, captured and documented, including where competitors were named and how you were described.
Why you appear or do not, tested against the four factors AI engines check: access, extractable answers, evidence, and outside corroboration.
What to change, in what order, what each fix affects, and which ones you can do in-house. Yours to execute with anyone, including without us.
A fixed sequence with a fixed output. You know what you are getting before it starts.
A working session with you to capture what your buyers actually ask, in both languages, across the buying journey.
Every question runs across ChatGPT, Gemini, Perplexity, and AI Overviews, with each answer captured on record.
Each miss is traced to its cause: crawler access, answer structure, missing evidence, or weak outside corroboration.
You get the full report and a walkthrough call: what we found, what to fix first, and what to expect from each fix.
AI answers are volatile: research on answer persistence found that only around a third of brand mentions survive between repeated runs of the same questions. That volatility is exactly why a measured baseline matters. The audit fixes your starting point, and repeated runs of the same question set are the only honest way to prove movement. Many clients run the audit once, execute the fixes, and re-run quarterly. Some hand it to our ongoing GEO work. Both are fine, and we will tell you plainly which your situation needs.
Pick one solution or take all five. We scope it, name every deliverable, and price it for what you actually need.
Which engines are covered, whether Arabic is included, what happens after delivery, and how the audit is priced.
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Tell us what you sell and who buys it. We reply within one business day, with questions, not a pitch.