From the team
Learn how to check crawlability, choose the customer questions to track, interpret AI mentions and citations, and turn evidence into useful website improvements.
Articles from the LLM Scan team.
All three track how ChatGPT, Perplexity and other AI assistants mention your brand. They differ on price, how often answers are re-checked, which assistants are covered and what else comes in the report.
A practical method for choosing the customer questions to track across AI providers, markets, and buying stages—without turning a keyword list into a prompt strategy.
Understand mention rate, answer coverage, brand position, citations, and competitor presence—and avoid counting provider failures as zero visibility.
Use prompt-level answers, citations, and competitor sources to decide which pages to improve—without generating thin pages for every query variation.
A strategic guide to preparing your brand, website, data, and workflows for an economy where AI agents discover, compare, recommend, and act on behalf of customers.
Learn how to run your first AI visibility scan and turn the report into practical website fixes.
Three checks tell you whether GPTBot, ClaudeBot and PerplexityBot can reach your pages: your robots.txt rules, your firewall or CDN bot settings, and your server logs.
How to use llms.txt and sitemap.xml together so AI systems can discover your most important public pages.
A detailed SEO playbook for making your website discoverable, understandable, and trustworthy to AI answer engines, agents, and traditional search systems.
A comprehensive readiness audit for teams that want their websites, knowledge bases, and public content to perform well when AI agents research and recommend vendors.
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Start with a free scan of your site. Paid plans add the weekly AI visibility report.