AI Visibility Audit and Strategy in Alexandria

Ask the question your buyer asks, and read the answer

The entire first stage of this work is unglamorous and cheap: put the questions a real buyer would ask to the assistants they would use, in both languages, and record what comes back. Most businesses have never done it. The result is usually one of three findings, and each one leads somewhere different.

The three things an audit finds

Either the business is not mentioned at all, or it is mentioned and described inaccurately, or competitors are named for work this company does better. Not mentioned is a retrieval problem, described wrongly is a record problem, and losing to a named competitor is a corroboration problem. Treating those as the same issue is why generic advice in this field fails.

What Wink produces

The audit is a measured baseline rather than an impression:

• A set of buyer questions, in Arabic and English, agreed before testing
• Answers recorded across the assistants your buyers actually use
• Whether the business appears, and if so how it is described
• Which competitors are named instead, and what they have that you do not
• Which sources the answers appear to be drawing on
• Every factual error found, and where it originates
• A short ordered plan, with what is fixable quickly separated out

Answers vary, so a single check proves nothing

The same question asked twice on different days can return different companies, and two assistants regularly disagree entirely. A baseline built on one query on one afternoon is noise. Questions are asked repeatedly, across assistants, so the pattern is distinguishable from the variation, which is also the only way to tell later whether anything actually changed.

Ask in both languages, because they answer differently

An assistant asked in Arabic about suppliers in Alexandria and the same assistant asked in English are drawing on different material and will frequently name different companies. For a business selling both locally and abroad, those are two separate visibility positions and one can be strong while the other is empty. Testing only in one language produces a conclusion about half the problem.

Where the answer came from is the actionable part

An answer naming a competitor is only useful once you can see what it was built from: a directory, an industry listing, a news mention, a comparison article, that company's own site. Those sources are what can be influenced, and they are usually a much shorter list than people expect. This is where an audit turns from interesting into a work plan.

Errors have origins and the origin is fixable

When an assistant reports an old address, a discontinued product or the wrong company size, that came from somewhere: a stale directory entry, an outdated page nobody removed, an old news item. Tracing each error back to its source and correcting it there is slower than complaining about the answer and it is the only thing that works. Nobody has an edit button on a generated answer.

A baseline you can measure against later

Because these systems change constantly, the value of the audit is as much in having a recorded starting point as in the findings themselves. Six months later the same questions are asked again and the difference is visible. Without that record, any claim about improvement in this field is unverifiable, including ours.

Related work

The audit decides what the rest of the work should attack. Entity optimization fixes who you are understood to be, and AI search optimization works on being retrievable. Both sit under GEO in Alexandria.