GuideDoes AI visibility vary by industry?
It varies a great deal, and knowing how changes where you should spend effort. In local service categories — trades, dental, legal, home services — assistants lean hardest on local-entity consistency, reviews and the category directories they trust, so profile accuracy often matters more than content. In B2B software, review platforms, comparison content and clear product positioning carry the weight. In health and legal, models are especially cautious and favor sources that look verified. In retail and ecommerce, product data and shopping sources dominate. The underlying signals are the same everywhere, but their relative weight shifts by category — so the highest-leverage fix for a plumber is rarely the highest-leverage fix for a SaaS company.
FAQ
Why does AI visibility differ by industry?Because assistants trust different sources for different questions. A local-service query leans on map and category directories and reviews; a software query leans on review and comparison platforms; health and legal queries favor verified-looking sources. The same core signals exist across categories, but which ones decide a recommendation shifts by industry.
How should that change what I work on?Start with the signals that carry the most weight in your category — local-profile consistency and reviews for local services, review and comparison content for B2B software, verified directory presence for health and legal. Spending effort on a lever that barely moves your industry is the most common wasted effort in AI visibility.
How do I find out where I stand?Run a free Cited scan — it checks the AI-search readiness signals on your website (crawler access, llms.txt, structured data and answer-ready content) and lists the fixes to make first.
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