AI Visibility Checklist

Search engines and AI crawlers use sitemaps to discover all your pages. Without one, AI systems may miss important product pages.

Most frameworks (Next.js, Nuxt, Astro) can generate sitemaps automatically with a plugin or built-in route.

A sitemap with only 1 URL suggests your content architecture is shallow, which reduces crawl depth.

Include your homepage, features, pricing, about, and blog pages at minimum.

GPTBot is the official OpenAI/ChatGPT crawler. Blocking it prevents your site from being indexed in ChatGPT's knowledge base.

Add 'User-agent: GPTBot' with 'Allow: /' to your robots.txt. Do not block it unless you have a specific reason.

ClaudeBot is Anthropic's official web crawler. Blocking it prevents Claude from knowing about your product.

Add 'User-agent: ClaudeBot' with 'Allow: /' to your robots.txt.

PerplexityBot powers Perplexity AI's web index. If it's blocked, Perplexity cannot cite your product in answers.

Add 'User-agent: PerplexityBot' with 'Allow: /' to your robots.txt.

LLMs need sufficient text to extract product information, positioning, and value propositions. Sub-500 word pages give AI little to work with.

Ensure your key marketing content is server-rendered and appears in the HTML source, not just after JavaScript executes.

A low text-to-HTML ratio indicates a JavaScript-heavy page with minimal real content — a pattern common in SPA frameworks where text is injected dynamically.

Use server-side rendering (SSR) or static generation for your marketing pages. Check your homepage's raw HTML source to verify.

Internal links help AI crawlers discover more of your site. A single-page app with no deep links limits what LLMs know about your product.

Add navigation links to your features, pricing, about, and blog pages from your homepage.

Well-structured navigation tells AI systems what sections of your site exist and how your content is organized.

Use standard HTML anchor tags for navigation. JavaScript-only routing may be invisible to crawlers.

The H1 is the most authoritative statement about what your product does. AI systems weight it heavily when generating product descriptions.

Your H1 should describe what the product does and who it's for in one clear sentence. Avoid 'Welcome to [Company]' — be explicit.

When someone asks an AI 'what does X do?', it needs feature information to give a complete answer. Missing features = incomplete AI responses.

Add a /features page or include a features section on your homepage with clear feature titles and descriptions.

Pricing is frequently asked about in AI queries ('how much does X cost?'). A missing pricing page means AI cannot answer this question accurately.

Add a /pricing page and link to it from your navigation. Include your free tier if you have one.

og:title is used by AI systems when generating summaries and recommendations. It should match your product name and core value proposition.

Set og:title to '[Product Name] — [One-sentence value proposition]'. Most meta tag libraries handle this.

og:description is frequently extracted by AI systems when generating product summaries. It should clearly state what the product does.

Write a 1-2 sentence og:description that explains the product's core function and primary benefit.

Visual context helps AI systems build richer product profiles. A missing og:image reduces visual citations in AI-generated responses.

Create a 1200x630px OG image with your product name and key value proposition.

The <title> tag is one of the most heavily-weighted page signals. Vague titles like 'Home' give AI systems minimal product information.

Use the format '[Product Name] — [Value Proposition] | [Brand]' for your homepage title.

Meta descriptions are frequently used as summaries by AI systems. They appear in citations and AI-generated comparisons.

Write a descriptive meta description that includes your product name, primary function, and one key benefit.

This is the single highest-impact structured data signal. JSON-LD gives AI systems precise, machine-readable facts: product name, category, description, pricing URL, and more.

Add a <script type='application/ld+json'> block with SoftwareApplication schema. AIExposureTool generates this for you.

Canonical URLs tell AI crawlers which version of a URL is authoritative, preventing duplicate content penalties.

Set rel='canonical' in your page head to your preferred URL. Most Next.js and meta tag setups handle this automatically.

llms.txt is the AI equivalent of robots.txt — a plain-text brief that tells LLMs exactly what your product does, who it's for, and where to find key information. AI agents will look for it first.

Create a plain text file at /llms.txt with: product name, tagline, description, target audience, key use cases, pricing summary, and links to important pages. AIExposureTool generates this automatically.

llms-full.txt is an extended version of llms.txt with complete product documentation. It gives AI systems enough context to answer detailed product questions accurately.

Create /llms-full.txt with full feature descriptions, methodology, all pricing tiers, and comprehensive documentation. AIExposureTool generates this for you.

Real testimonials with names, roles, and specific outcomes increase AI citation confidence. AI systems are less likely to recommend products that appear to have no users.

Add 2-3 testimonials with real names, their role, their company (if applicable), and specific outcomes ('went from score 42 to 91 in two days').

Client logos, press mentions, and 'as seen in' marks signal that the product has been vetted by recognizable third parties.

Add logos of notable customers, press outlets that have featured you, or integration partners. Even 3-4 logos meaningfully improve this signal.

Specific numbers ('1,000+ sites scanned', '500+ founders') are more credible to AI systems than vague claims ('many users').

Add a stats section or integrate metrics into your headline area. Be specific and keep numbers up to date.