AI search fix
How to optimise your website for AI search
AI search optimisation makes public pages easy for AI crawlers to fetch and for ranking systems to trust. Start with crawl access and robots.txt for GPTBot-class bots, remove CDN or WAF false blocks, add accurate schema.org JSON-LD, and write concise answer-first copy on key URLs. For Google Search and AI Overviews, Google treats this as solid SEO extended — not a separate file hack. Optional llms.txt comes after crawlers can reach your site.
Avoid thin FAQ farms that repeat competitors. One clear page per real customer question beats dozens of doorway URLs. Re-test after CMS or security updates — plugins often reintroduce disallow rules overnight.
Optimise for AI search in seven steps
- List which AI user-agents you want and verify they are allowed in robots.txt.
- Fix Cloudflare, Wordfence, or host rules that return 403 to those bots.
- Ensure money pages return 200 HTML without login walls or broken redirects.
- Add Organisation, Product, or FAQ schema where facts are stable.
- Rewrite titles and openings to answer the query in plain language.
- Publish or refresh optional llms.txt only after linked URLs are crawlable.
- Submit URL updates via IndexNow after major content or pricing changes.
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See what AI crawlers hit on your site
Technical blockers, missing context, weak AI-readiness signals — in one HTML report.
You'll get an HTML report on AI crawler access, robots.txt, llms.txt, and schema before you scale AI search work.
Frequently asked questions
What is AI search optimisation called?
Teams use GEO, generative engine optimisation, or AEO. For Google Search, crawl, content, and technical fundamentals still apply.
Is AI search optimisation different from SEO?
It extends SEO with AI crawler policy, structured data discipline, and citation-ready copy. Indexing and AI mentions overlap but differ.
Does AI search optimisation guarantee ChatGPT visibility?
No. You can improve readiness; ChatGPT, Perplexity, and Google each choose sources independently.
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