How to Remove Outdated Information from Perplexity

Guide to updating and refreshing outdated brand information in Perplexity responses.

Perplexity searches the web in real-time, but it still pulls old information. It'll cite your 2019 pricing page over current rates. It'll reference press releases about products you discontinued. Unlike other AI models, Perplexity shows its sources—which makes fixing the problem both easier and more urgent.

The Problem

Perplexity doesn't crawl your site daily. It relies on cached pages and prioritizes high-authority sources that might be months behind. When users ask about your brand, they get confident answers backed by outdated citations that look authoritative.

The Solution

Since Perplexity shows its sources, you can see exactly where bad information lives and target those specific pages. The strategy is identifying which URLs Perplexity favors, updating them systematically, and ensuring your current information ranks higher than outdated content.

Test what Perplexity currently says about you

Ask Perplexity direct questions about your brand: pricing, features, leadership, locations. Note which sources it cites for each answer. You'll see patterns—certain URLs appear repeatedly. Screenshot everything and track which information is wrong versus just outdated.

Audit the cited sources

Visit every URL Perplexity cited. Check dates, accuracy, and whether the page still exists. You'll find deleted pages that cached versions still reference, press releases from acquisition rumors that never happened, and comparison sites with your old pricing.

Update pages you control directly

Fix your own website first. Update About pages, product descriptions, and press sections. Add clear publish dates and 'last updated' timestamps. Use structured data markup so Perplexity can parse facts cleanly. Create dedicated pages addressing common misconceptions.

Fix third-party sources you can influence

Email journalists about outdated articles. Update your Crunchbase, LinkedIn, and directory listings. If you have a Wikipedia page, update it with proper citations. Reach out to review sites and comparison platforms with correction requests.

Create new authoritative content

Publish press releases addressing changes. Get recent coverage in trade publications. Create case studies and whitepapers with current information. The goal is giving Perplexity fresher, more authoritative sources to cite instead of old ones.

Monitor Perplexity's source selection

Check monthly whether Perplexity is citing your updated sources. Sometimes it takes weeks to reflect changes. If it's still citing old sources, those pages might have higher domain authority or better SEO than your corrections.

Frequently Asked Questions

How quickly does Perplexity update its information?

Perplexity searches live but relies on cached versions of many pages. Updates to high-traffic sites appear within days, while smaller sites might take weeks. News sites and major publications update fastest in Perplexity's results.

Why does Perplexity still cite deleted pages?

Perplexity sometimes pulls from cached versions or archived pages. If a URL returns a 404 but was previously indexed, cached content might still appear. Contact site owners to remove cached versions or add proper redirects.

Can I request Perplexity to remove specific sources?

Perplexity doesn't offer source removal services for brands. Your path is improving what authoritative sources say and ensuring current information outranks outdated content through better SEO and domain authority.

Which sources does Perplexity trust most?

Wikipedia, major news outlets, government sites, and established industry publications get priority. Perplexity also values recently published content from these authoritative domains over older information from the same sources.

How do I know if my corrections are working?

Test the same queries monthly and track which sources Perplexity cites. Look for your updated URLs appearing in citations and outdated sources disappearing from results. Changes are usually gradual rather than immediate.