UAE insurance buyers increasingly ask ChatGPT, Perplexity and Gemini — not Google — "what's the best car insurance in Dubai?" or "how do I check my black points?". If GIG isn't named in that answer, it's invisible at the moment of intent, and a competitor takes the lead.
As Performance Director, GEO recommendations have to stand on data we own and can re-run — not a vendor's opinion. That means measuring, every week, whether GIG wins the AI answer, where it loses, and to whom.
We already run aiviz — our own tool — across ChatGPT, Claude and Google, AXA-aware, weekly. Current baseline (17 Jun):
Good enough to spot a gap; not yet good enough to defend a board-level recommendation:
| Option | Trade |
|---|---|
| A · Buy a platformGeoEasy $49 → Profound $1,500/mo | Rent a number that dies when you stop paying. Counts only "GIG Gulf" so it under-reports AXA equity (~25% of demand). You own nothing. |
| B · Build & wrap$40/mo of API keys on aiviz | Add Perplexity + Gemini, n≥3 sampling, cited-URLs, demand proxy, GIG CDN logs. AXA attributed correctly. Every snapshot owned — compounds into a trend no rival has. |
"GIG cited by 1 of 3 engines for black-points; Daman appears. Suggest a page."
Low confidence — one run.
"3 runs × 5 engines: GIG 11% (±6). Cites daman.ae; GPTBot never fetched GIG's page; ~2,400 searches/mo. Priority-1."
High confidence — sampled, sourced, sized.