Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) are full of theory and short on receipts. So here is a receipt: a complete, dated, verifiable timeline of one brand going from invisible to AI to cited by Google's AI summary — ours.
1 — The timeline, with dates
| Date | Event | Evidence |
|---|---|---|
| Aug 19 | Search Console live; brand barely exists in search | 99 impressions in 3 months — every query a brand-name variant |
| Oct 16 | Listing goes live on There's An AI For That ($49, one-time) | Verified listing, "AI visibility" category |
| Oct 17 | A Chinese AI-tool directory picks us up — we never submitted | Second third-party source appears on its own |
| Oct 20 | Google's AI summary describes Ainswer accurately on a brand search — citing the 3-day-old TAAFT listing as a source | Screenshot archived; reproducible on a brand query |
Total spend: $49. Total elapsed time from listing to citation: about 72 hours.
2 — Why it worked: engines read pre-trusted sources
AI engines don't read your ads, and they rarely lead with your official site. When asked about a brand, they synthesize from third-party sources already in their trusted corpus — directories, review sites, comparison pages. A listing on an established directory doesn't need to earn the engine's trust; it inherits it. That's the whole mechanism, and it's the same one we measure for clients in every category: official websites are consistently out-cited by third-party pages.
Note what the AI cited: not ainswer.app. It described us accurately and sourced the description to the directory. Your most-polished page is rarely the page that speaks for you.
3 — What it did not do: the honest caveat
Brand layer and category layer are different wars. The same week this happened, our weekly fixed-question scan — six buyer questions like "which tools can track whether ChatGPT recommends my brand", five engines, three runs each — still scored 0/30 recommended. When buyers ask for AI-visibility or AEO tools without naming us, we are absent.
A directory listing wins the brand layer: ask any engine "what is Ainswer" and you now get a correct answer with credible sources. The category shortlist is decided elsewhere — in the comparison articles, review roundups and community threads engines read for recommendation queries. We're entering those the slow, legitimate way, and we'll publish those numbers too, including the weeks they don't move.
4 — The copyable version, step by step
1. Find the directories AI already reads in your category: ask your buyer questions on Perplexity and Google AI Overviews, tally every cited host, and note which directories recur.
2. Get genuinely listed — complete profile, buyer-language description (write the answer you want AI to give), accurate pricing and category.
3. Verify the listing if the directory offers it; verification pages get crawled with higher priority.
4. Wait one crawl cycle — days, not months.
5. Re-scan weekly with the same fixed questions, brand-layer and category-layer separately, so you can tell which layer moved and why.
No tricks, no paid placements inside answers (nobody sells those) — just legitimate presence in sources engines already trust, verified by measurement.
5 — What happens next
This page is part of a running series: we measure ourselves with the same scans we sell, and publish the numbers weekly — the wins and the zeros. The category layer is the long war; when it moves, the before/after will be here, with dates.