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GEO Adaptation Framework: get your brand into AI answers

How I make companies visible in ChatGPT, Gemini, Perplexity and Google's AI features, built on solid SEO: measure first, fix the basics, become worth quoting, and track it with Semrush and Peec AI.

What's inside

1. 1. Measure the baseline

   • AI-referred visits: an analytics channel for chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and similar. It is a lower bound, since some assistants send no referrer.
   • Google Search Console, including the generative AI performance report for AI features in Search.
   • Share of voice on a tracked prompt set against three to five named competitors, before anything changes.

2. 2. Make your entity unambiguous

   • One source of truth for name, address, phone, opening hours, prices and what you offer.
   • A complete Google Business Profile, a real about page, and a Wikidata item if you are notable.
   • The same spelling of brand and people everywhere. Contradictions make AI answers skip you.

3. 3. Fix the technical basics

   • robots.txt per bot: allow Googlebot, Bingbot, OAI-SearchBot and PerplexityBot; decide on training bots such as GPTBot and Google-Extended separately.
   • Test CDN and firewall rules with each crawler's user agent. A silent 403 is the most common blocker.
   • schema.org JSON-LD per template that matches the visible page, plus Core Web Vitals: LCP within 2.5 s, INP under 200 ms, CLS under 0.1.

4. 4. Write content worth quoting

   • Answer the heading's question in the first two sentences, then go into detail.
   • Concrete numbers, dates, own data and sources; comparison tables, step lists and short FAQs.
   • Merge thin pages and keep a visible update date. Skip 'chunking' hacks and AI text files as a strategy.

5. 5. Strengthen off-site signals

   • Find the sources the assistants cite for your prompts: review sites, portals, directories, media.
   • Complete, consistent listings on those portals, published automatically from your own data.
   • Collect reviews and answer the critical ones; earn mentions with the same facts you publish.

6. 6. Research and track prompts

   • Prompts per landing page, intent and language, generated by an open model such as Qwen running locally, so no content leaves your network.
   • A person reviews a sample; branded and unbranded prompts stay in separate sets.
   • Load them into the Semrush AI Visibility Toolkit or Peec AI, which run every prompt daily on the assistants you choose.

7. 7. Run experiments, govern monthly

   • Every finding becomes an experiment: hypothesis, owner, metric and date, ranked by impact and effort.
   • Read trends over two to four weeks, never a single day; AI answers vary from run to run.
   • A one-page monthly report: visibility, share of voice, top cited sources, AI-referred visits and leads.

8. Rolling it out, by company size

   • Startup: baseline, entity facts and around 30 tracked prompts within a week, then one experiment at a time.
   • Mid-sized company: one market and language first, prompts per key page, a monthly review with marketing.
   • Enterprise: legal review of tools and data flows, local models for prompt generation, an owner per country and a shared experiment backlog.