What “fast” honestly means in AI search
The one clock you can exploit: retrieval. When assistants search the live web to answer, they read current pages, and changes there can surface in answers within days to a few weeks. The clock you cannot rush: training data, which updates on model release cycles. So a 30 day plan targets everything retrievable and ignores everything baked in, the mechanics are in how often ChatGPT updates.
The 30-day plan
Week one: retrievable truth. Make every commercial fact about your brand plainly stated and current: pricing, capabilities, availability, locations. Assistants quote pages that answer directly; vague marketing copy is invisible to them.
Week two: unclaimed moments. Test your category’s buying questions across ChatGPT, Gemini, Claude and Perplexity and find the answers where nobody is consistently recommended. Publish direct, specific pages for those exact questions. Unclaimed answers are the fastest wins in AI search because there is no incumbent to displace.
Weeks three and four: cited sources. Run your losing questions, capture the citations, and fix what they point to: stale directory profiles, outdated comparison mentions, thin review presence. Perplexity shows its sources on every answer, making it the fastest diagnostic. Then re-test everything and screenshot the changes.
What will not work in 30 days: llms.txt tricks, schema-only plays, or content blitzes aimed at head terms a funded competitor owns. Speed comes from specificity, not volume.
Fast without the do-it-yourself part
The plan above is exactly what Aethon compresses: the moment map finds the unclaimed and losing answers on day one, the Action Engine ships the fixes, and re-testing confirms movement, with the audit as the entry point. The free AI visibility audit turns around in 2 business days, which for a team in a hurry is the fastest legitimate start available. The broader playbook lives in how to get recommended by AI assistants.
