GEO Readiness Checklist: Are You Ready for AI Search?
Use this checklist to assess your website's readiness for AI search engines.
Most teams know how their site performs in Google, but far fewer know whether their brand shows up when someone asks ChatGPT, Perplexity, or Google's AI Overviews which product to buy. Generative engine optimization, or GEO, is the practice of making your site visible, citable, and recommendable in AI-generated answers, and it runs on different signals than traditional SEO. This checklist covers the four areas that matter most: technical, content, authority, and measurement.
Why GEO Readiness Matters
AI answer engines now sit between your customers and your website. When a buyer asks a model for a recommendation, it synthesizes an answer from sources it trusts, and brands missing from those sources do not get mentioned. A page that ranks well in classic search can still lose the sale to a competitor the model names in its answer. Brands that establish themselves early tend to stay cited.
Technical Readiness
Crawlability
- robots.txt allows AI crawlers (GPTBot, PerplexityBot, etc.)
- Sitemap exists and is submitted
- No crawl errors
- Pages load in under 3 seconds
Crawlability is the entry ticket: if an AI crawler cannot reach your pages, nothing else matters. Check robots.txt for the major AI crawler user agents, keep your sitemap current, fix crawl errors, and keep pages fast, since AI crawlers skip slow pages.
Structured Data
- Organization Schema implemented
- Product/Service Schema implemented
- FAQ Schema on FAQ pages
- Price Schema on pricing pages
Structured data tells machines what your pages mean. Organization schema establishes basic company facts, product schema covers what you sell, FAQ schema turns Q&A into quotable answers, and price schema lets models state your pricing accurately. Validate each type after deploying.
llms.txt
- llms.txt file exists at /llms.txt
- Contains brand description
- Lists key pages
- Includes pricing information
llms.txt is a newer convention: a plain-text file at /llms.txt that summarizes your site for AI crawlers, like robots.txt does for crawler rules. Include a brand description, links to key pages, and pricing essentials. Not every model reads it yet, but it costs about an hour.
Content Readiness
Comparison Pages
- Pages for top 3 competitors
- Feature comparison tables
- "When to choose" sections
- FAQ sections
Comparison content is the most cited type in AI answers. When a model is asked "X vs Y," your page can be the source that compares both fairly. Build pages for your top three competitors with structured feature tables, honest "when to choose" sections, and buyer follow-up questions. Fair comparisons get cited; one-sided pages get ignored.
FAQ Pages
- Product questions answered
- Trust questions answered
- Pricing questions answered
- Comparison questions answered
FAQ pages give models ready-made answers to quote. Cover what the product does, why you are trustworthy, how pricing works, and how you compare to alternatives. Write each answer as a complete, self-contained sentence or two, since models quote fragments and a standalone answer survives extraction better.
Pricing Pages
- Clear pricing tiers
- Structured tables
- Feature comparisons
- FAQ section
Pricing is one of the most common facts models need to state, and one of the most commonly wrong. Use clear tier names, structured tables, and a pricing FAQ. If pricing changes, update every place it appears, including llms.txt and comparison pages, because inconsistent numbers make a model distrust all of them.
Authority Readiness
Review Platforms
- G2 profile created
- 10+ verified reviews
- High ratings maintained
- Reviews responded to
AI models treat third-party reviews as evidence that a brand is real and worth recommending. A profile is the minimum; a critical mass of verified reviews is what changes answers. Respond to reviews, including negative ones.
Community Presence
- Reddit participation
- Relevant subreddit presence
- Helpful answers provided
- Reputation built
Community discussions are among the most-cited sources in AI answers, especially for recommendations. The goal is a sustained, genuinely helpful presence where your buyers ask questions, not a promotional drive.
Editorial Coverage
- Featured in "best of" lists
- Industry report mentions
- Expert reviews
- News coverage
Editorial mentions add another layer of independent validation. "Best of" lists and industry reports are particularly valuable because models treat them as aggregated expert opinion. Make it easy: keep a press page and give journalists data they can quote.
Measurement Readiness
Tracking Setup
- AI visibility tracking configured
- Weekly monitoring established
- Competitor tracking active
- Alerts configured
You cannot optimize what you cannot measure. Set up AI visibility tracking across the major models, review weekly, track competitors for context, and configure alerts for significant changes.
Baseline Established
- Current AI visibility measured
- Competitor benchmarks recorded
- Goals defined
- Progress tracking started
Before changing anything, record your baseline: current score, competitor benchmarks, and specific goals. A baseline turns every later measurement into a progress signal instead of a random number.
Scoring
Count your checkmarks:
- 0-10: Critical — Start optimization immediately
- 11-20: Developing — Focus on quick wins
- 21-30: Good — Maintain and optimize
- 31+: Excellent — Expand and maintain
The bands are deliberately simple. In the critical or developing range, start with the technical section, where crawlability, schema, and llms.txt are the fastest wins. In the good range, focus on content and authority. Re-run the checklist monthly; AI search changes quickly.
FAQ
How often should I re-run this checklist? Monthly is a good rhythm. Technical items change rarely, but content, authority, and competitors shift constantly.
Is llms.txt required? Not yet, but adoption is growing and it is cheap insurance, about an hour of work.
What is the fastest win? Crawlability and schema fixes show results within days. Authority signals take the longest, so start them early.
Start Today
- Run this checklist — Assess your current state
- Identify gaps — What's missing?
- Prioritize fixes — Quick wins first
- Track progress — Re-check monthly
The fastest way to start is to measure where you stand today. Run an AI visibility check or a full GEO audit to get your baseline, then work through the checklist in order: technical, content, authority, measurement.
Your GEO readiness score predicts your AI visibility potential.