Plan
A 90-Day AI Visibility Plan
By Adam Parker, Founder of Rank4AI
A realistic 90-day AI visibility plan works in three sequenced months: month one fixes your own site so it stops contradicting itself, month two makes the site machine-readable and builds the first independent signals, and month three deepens ecosystem validation and starts measuring the trend. The order is fixed because AI systems build confidence from identity outward: there is no point chasing third-party citations while your own pages disagree about who you are. Expect to see accuracy improve before mention rate, and treat 90 days as the point you re-measure, not a finish line.
Before you start: take a baseline
You cannot tell if the plan worked without a starting point. Spend the first day running the measurement method from our measuring AI visibility guide: a fixed prompt set across each platform, recording mention rate and accuracy. Save the results. You will re-run the exact same set at day 90.
Month 1: fix your own signals
The first month is internal. The goal is a site that tells one consistent story about who you are.
- Resolve signal conflicts. Work through the eight conflicts in our signal conflicts guide: name, description, title and H1 alignment first, then schema and trust fixes.
- Write one clear identity sentence. A single sentence stating what you do, for whom, and where. Reuse it in your H1, meta description and schema description.
- Add Organisation and Person schema. Connect a named founder or author to the business. Only 4% of UK SME sites do this, so it is a fast differentiator.
By the end of month one, an AI asked "what does [your business] do" should describe you correctly. That is the accuracy win, and it usually arrives first.
Month 2: structure and first ecosystem signals
With the site consistent, make it readable and start building outside confirmation.
- Publish an llms.txt file. Use the free llms.txt generator to point AI crawlers at your authoritative pages.
- Verify Bing Webmaster Tools. Bing powers ChatGPT Browse and Copilot, so being indexed cleanly there matters more than its raw market share suggests.
- Tidy your structured presence. Make sure your Google Business Profile, key directories and social profiles all carry the same name, description and URL. Agreement across independent sources is what AI cross-checks.
- Strengthen author entities. Give named authors real bios and link them to verifiable profiles. See entity SEO for AI.
Month 3: deepen validation and measure
The final month builds the harder-won signals and checks progress.
- Earn genuine third-party citations. Industry directories, guest contributions, press mentions and partner pages that name you. Remember that around 70% of AI Overview citations come from pages already on page one of Google (Semrush), so conventional authority still feeds AI answers.
- Consider Wikidata. Where your business genuinely meets notability, a clean Wikidata item gives AI systems a structured anchor. Do not fabricate notability.
- Re-measure. Run the same prompt set from day one. Compare mention rate and accuracy against your baseline. The trend tells you what to do next.
What to expect
Accuracy improves before reach. Once your own signals agree, AI describes you correctly fairly quickly. Mention rate, being named at all for competitive category questions, builds more slowly because it depends on ecosystem signals that take time to register. Ninety days is enough to fix the foundations and see early movement, not to dominate a competitive category. Treat day 90 as a checkpoint, then keep the consistency going: positioning that stays stable over a rolling 90-day window is itself one of the five signals.
Where this fits
This plan operationalises the Rank4AI Five Signal Model. For the concepts behind each step, start with the practical overview and the complete guide to AI search.
Primary sources
- Semrush: AI Overviews citation analysis.
- Rank4AI Research, 2026: first-party UK SME website audits. See our methodology.
- llmstxt.org: the llms.txt specification.
Adam Parker
Founder, Rank4AI
Adam is the founder of Rank4AI, specialising in AI search visibility. He helps businesses get found across ChatGPT, Gemini, Perplexity, and AI Overviews through technical optimisation and strategic content.
Last reviewed: 13 June 2026