Playbook
The AI Visibility Guide
A practical, no-fluff playbook for getting your brand cited by ChatGPT, Claude, and Gemini. Work through the levers below in order — technical foundation first, then content, then third-party signals.
The 7 levers of AI visibility
01Publish an llms.txt file
high impactAdd a structured llms.txt at your domain root describing your product, category, key features, and competitors. It's the single highest-impact, lowest-effort GEO change — the AI equivalent of robots.txt.
02Add Schema.org structured data
high impactMark up your product, organization, and FAQs with JSON-LD so models can parse your category, pricing, and features unambiguously.
03Write an AI-optimized FAQ
high impactCreate question-and-answer content that mirrors how people actually prompt AI (“What's the best X for Y?”). Models quote FAQ-style content heavily.
04Build comparison pages
high impactPublish honest “You vs Competitor” pages. These are referenced directly when users ask comparison questions — and they capture high-intent search too.
05Get on review platforms
medium impactClaim and complete profiles on G2, Capterra, and TrustRadius, and gather genuine reviews. AI models lean on these when recommending software.
06Participate in communities
medium impactBe genuinely helpful on Reddit, Stack Overflow, and Quora in your category. Models are trained on these discussions and cite them.
07Keep meta descriptions sharp
medium impactClear, keyword-rich meta descriptions and H1s are crawled by AI training pipelines and help models summarize you correctly.
Step-by-step
- 1Scan your domain to get a baseline AI visibility score and see which prompts mention competitors instead of you.
- 2Fix the technical foundation: publish llms.txt, add schema markup, and tighten meta descriptions.
- 3Create the content models cite: an AI-optimized FAQ and honest comparison pages.
- 4Build third-party signals: review-platform profiles and helpful community participation.
- 5Re-scan every 1–2 weeks to track your score as models recrawl and retrain.
Start with a baseline
Every improvement is measured against where you start. Run a free meraGEO scan to see your current AI visibility score across ChatGPT, Claude, and Gemini — then work the levers above.
FAQ
How long does it take to improve AI visibility?
Technical changes (llms.txt, schema) can be picked up within days to a few weeks as models recrawl. Third-party signals (reviews, community presence) compound over months. Re-scan every 1–2 weeks to track progress.
Which AI models should I optimize for?
Start with the most widely used assistants — ChatGPT (OpenAI), Claude (Anthropic), and Gemini (Google). Optimizing for clarity and authority helps across all of them.
Do I need to pay for tools to do this?
No. The fundamentals — llms.txt, schema, FAQ, comparison pages, reviews — are free to implement. A scan tool like meraGEO just measures where you stand and prioritizes what to fix.