Why Perplexity hallucinates your service features and how to fix it

You ask Perplexity about your own company and the answer lists a feature you do not offer, or describes a service in words you would never use. Sometimes it misses what you actually sell entirely.

Perplexity is an answer engine: it reads pages across the web, writes a summary, and cites its sources. When those sources are thin, outdated, or contradictory, the summary drifts from the truth.

This post explains why Perplexity gets your service features wrong, how to see exactly what it misreads, and how to fix the sources it learns from.

Perplexity does not invent from nothing; it paraphrases what it can find and cite. Wrong features usually trace back to vague pages on your own site, conflicting third-party listings, or content its crawler cannot reach. Fix the sources, make your descriptions clear and consistent, and let the crawler in, and the summary corrects itself over the following weeks.

Why Perplexity gets your features wrong

The errors are rarely random. They come from a handful of gaps in what the engine can read about you.

• Vague or marketing-heavy pages that never state plainly what you do, so the model guesses from context.
• Conflicting third-party sources, like an old directory listing or a review site describing a service you dropped.
• Outdated pages of your own that still describe retired features, which the engine treats as current.
• Blocked crawling, where your robots.txt or firewall stops Perplexity from reading the accurate pages at all.

Because the answer is stitched from several sources, one confident wrong source can outweigh a weak correct one. The goal is to make your own pages the clearest and most consistent signal available.

See exactly what it gets wrong

Start by pinning down the specific errors rather than the general impression.

Ask Perplexity direct questions about your services and read the cited sources under each answer. The citations show which pages the engine trusted, which is often more revealing than the answer itself.

When a citation points at a third-party page with wrong information, you have a source to correct. When it points at your own page, that page is either unclear or out of date, and the fix is on your side.

Fix the sources it learns from

Correcting the answer means correcting the inputs, in rough order of impact.

Make your service pages state plainly what each service is in the first sentence, before any positioning language. An answer engine can only quote clarity it can find, so lead with the plain description and keep the marketing second.

Reconcile third-party listings and profiles that describe you. Update directory entries, partner pages, and old profiles so they match your current services, since the engine weighs those alongside your own site.

Add clear, consistent structured data that names your organization and its services. Google's introduction to structured data covers the markup that makes your descriptions machine-readable rather than left to interpretation.

Let the crawler reach the right pages. Perplexity's crawler documentation lists the PerplexityBot user agent and IP ranges to allow in robots.txt and any firewall, so an accidental block does not keep your accurate content out.

What you cannot control

Some drift is outside your reach, and chasing it wastes effort.

Answer engines paraphrase, so the exact wording will vary each time and rarely matches your copy word for word. Aim for accurate facts, not identical phrasing.

Updates lag as well. After you correct the sources, the engine has to recrawl and reprocess them, which usually takes weeks rather than days. Recheck periodically instead of expecting an instant change.

Getting an answer engine to describe your business correctly is an ongoing part of search and AI visibility work, and keeping service descriptions clear across every source sits alongside your content and messaging. For a review of how AI tools currently describe you, start with Get Free Assessment.