Structured Data for Perplexity AI

Perplexity AI has grown rapidly as a search alternative, particularly for research-oriented and product queries. It crawls the web and reads structured data when assembling citations. If your business has clear, complete schema markup, you are far more likely to appear in Perplexity answers. Here is what Perplexity looks for.

How Perplexity uses structured data

Perplexity AI crawls websites using its own web crawler (PerplexityBot) and reads both page content and structured data. When a user asks a question that might be answered by citing a specific business, product or service, Perplexity looks for sources with machine-readable entity definitions.

Schema markup provides those definitions cleanly. Your @type tells Perplexity what category of entity you are. Your description gives it a citable summary. Your knowsAbout list matches your business to topic-specific queries.

The schema fields Perplexity prioritises

description โ€” a clear, factual description that Perplexity can cite directly in its responses. Keep it factual and specific: what you do, who you serve, what makes you different.

knowsAbout โ€” specific expertise topics that match your business to particular queries. The more specific the better. "SEO" is weak. "LocalBusiness schema markup for small businesses without WordPress" is strong.

sameAs โ€” links to Wikipedia, your Google Business Profile, Trustpilot and authoritative directories. Perplexity uses these to verify that your entity is real and consistently described across the web.

aggregateRating โ€” social proof signal that increases Perplexity citation confidence for service businesses and products.

How to optimise for Perplexity

Our AI Schema Generator writes all Perplexity-relevant fields automatically. The enrich panel lets you refine description, add specific knowsAbout topics and expand your sameAs directory links.

After generating, run our AEO Checker for a complete picture of your Perplexity citation readiness beyond just schema markup.

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