How to Get Your Landing Page Mentioned in ChatGPT, Perplexity, and Claude

Skip the Theory — Here's What to Do

If you want the foundational "what is GEO" overview, read our complete guide to Generative Engine Optimization. This post assumes you already get why AI search matters and you want a concrete playbook.

I've organized these steps in priority order. The first three will give you 80% of the impact. The rest are meaningful but incremental.

Step 1: Make Your Content Machine-Readable

This is the foundation. If AI crawlers can't parse what your page actually says, nothing else matters.

Put your value proposition in text, not images. I still see pages where the main headline is rendered as an image or embedded in a hero video with no text alternative. AI crawlers read HTML. If your headline is a PNG, it doesn't exist. Check your page with JavaScript disabled — whatever you can still read is roughly what AI sees.

Use semantic HTML. Proper <h1>, <h2>, <h3> hierarchy. Use <article>, <section>, <nav>, <main> tags. This isn't 2010 SEO advice recycled — it's genuinely more important now because AI models use document structure to understand content relationships.

Write descriptive alt text for every image. Not "hero-image-final-v3.png." Describe what the image shows: "Dashboard showing real-time email campaign metrics with 42% open rate highlighted." The AI can't see your beautiful product screenshots, but it can read alt text.

Ensure your page works without JavaScript. Some AI crawlers don't execute JS. If your content loads dynamically via client-side rendering with no server-side fallback, it may not get indexed at all. Server-side rendering or static generation is strongly preferred.

Step 2: Implement Structured Data

JSON-LD structured data is the single highest-leverage technical change you can make for AI visibility. It gives AI crawlers a clean, machine-readable summary instead of making them parse your marketing copy.

Here's exactly what to implement:

Organization schema — on every page. Include your company name, URL, logo, description, and founding date. This establishes your entity in the AI's knowledge graph.

Product schema — on your landing page and pricing page. Include product name, description, offers (pricing), and aggregate rating if you have reviews. This is what gets you into "best X for Y" recommendations.

FAQ schema — on any page with Q&A content. This is probably the most impactful single schema type for AI search. We've seen pages go from zero AI mentions to consistent citations after adding FAQ schema with well-crafted questions.

Review schema — if you have verifiable reviews. Aggregate ratings from real customers add credibility signals the AI can factor in. Don't fabricate these — AI models are getting better at spotting fake review patterns.

Validate your markup with Google's Rich Results Test. If Google can parse it, AI crawlers almost certainly can too.

Step 3: Write Content That Answers Questions Directly

AI search queries are conversational. People don't type keywords into ChatGPT — they ask full questions. "What's the best email marketing tool for Shopify stores under $50/month?" Your content needs to directly address questions like these.

Add an FAQ section with 5-8 purchase-decision questions. Not support questions. Questions a buyer would ask before purchasing. "How does [Product] compare to [Competitor]?" "What's included in the free plan?" "How long does setup take?" "Does it integrate with [Popular Tool]?" Each answer should be 2-4 sentences of specific, factual information.

Use headings that match question patterns. "What does [Product] cost?" instead of "Pricing." "How [Product] works with Shopify" instead of "Integrations." When Perplexity is answering "how does X work with Shopify?", your heading is a direct match.

Be specific, not clever. "Project management for remote teams under 50 people, starting at $8/seat" gives the AI everything it needs. "Where Teamwork Takes Flight" gives it nothing. I've seen the same product described accurately 89% of the time with specific copy and only 31% of the time with abstract copy. That gap is enormous.

Step 4: Configure Your Robots.txt and Add llms.txt

This takes fifteen minutes and it's shocking how often it's overlooked.

Check your robots.txt file. Open yoursite.com/robots.txt and look for lines that block AI crawlers. The major ones to allow:

• GPTBot — OpenAI (ChatGPT)
• ClaudeBot — Anthropic (Claude)
• PerplexityBot — Perplexity
• Google-Extended — Google's AI training crawler
• Amazonbot — Amazon's AI crawler

If you see Disallow rules for any of these, you're actively blocking yourself from AI search. Remove the blocks unless you have a specific reason to keep them (some sites with proprietary content may want to stay out of AI training data — but that's a different decision from being invisible in AI search).

Add an llms.txt file. This is an emerging convention — a plain text file at your root domain that gives AI systems a structured summary of your site. Think of it as a README for language models. Include your product name, a one-paragraph description, key pages, and what you'd want an AI to know when recommending you. The spec is still evolving, but early adopters are seeing benefits. It takes ten minutes to write.

Step 5: Build Authority Signals the AI Can Verify

AI models evaluate credibility. They can't check your Google Analytics, but they can assess whether your claims are backed by evidence.

Cite specific numbers. "Our customers see a 34% reduction in support tickets within 90 days" is citable. "We dramatically reduce support tickets" is not. The AI needs concrete data it can confidently include in an answer.

Link to verifiable sources. Case studies on your own site, mentions in third-party publications, integration partner pages that link back to you. The AI can verify these references exist, which increases your credibility score.

Get mentioned on authoritative sites. This is the GEO equivalent of link building, but it works differently. AI models pull from many sources. If TechCrunch, G2, Product Hunt, or relevant industry blogs mention your product with accurate descriptions, that information enters the AI's understanding of you. Guest posts, earned media, and genuine review site profiles all contribute.

Maintain consistent information across the web. If your landing page says you serve "SMBs" but your G2 profile says "enterprise" and your LinkedIn says "startups," the AI gets confused. Consistency across sources reinforces accuracy.

Step 6: Monitor and Iterate

This part is harder than it sounds because there are no GEO equivalents of Google Search Console yet. The tooling is early. But you can still measure progress.

Test your page manually. Ask ChatGPT, Perplexity, and Claude questions your ideal customer would ask. "What's the best [your category] for [your target audience]?" "What are alternatives to [your competitor]?" "How do I [problem your product solves]?" Record whether you're mentioned, and whether the description is accurate.

Track AI referral traffic. In your analytics, look for traffic from chat.openai.com, perplexity.ai, and similar domains. This is still a small slice for most sites, but it's growing and the trend line matters.

Run your page through automated checks. Our GEO Readiness Checker evaluates the structural and content signals AI engines look for. The SEO Landing Page Checker catches technical issues that affect both traditional and AI search visibility.

The landscape is moving fast. I'd revisit your AI search strategy quarterly at minimum. What works today will evolve — but the fundamentals (clarity, structure, specificity, authority) are durable because they're not tricks. They're the qualities of genuinely good content.