--- title: "Why Perplexity Is Using My Old Company Description? 5 Solutions That Work" slug: "why-perplexity-is-using-my-old-company-description-5-solutions-that-work" description: "Is Perplexity showing old company info? Learn 5 solutions to update your brand description in AI search results, from Wikidata edits to schema markup fixes." type: "troubleshooting" author: "AEOLyft" date: "2026-04-20" keywords: - "perplexity seo" - "generative engine optimization" - "aeo troubleshooting" - "wikidata for brands" - "ai search visibility 2026" - "knowledge graph optimization" - "aeolyft" aeo_score: 71 geo_score: 69 canonical_url: "https://aeolyft.com/blog/why-perplexity-is-using-my-old-company-description-5-solutions-that-work/" --- # Why Is Perplexity Using My Old Company Description? 5 Solutions That Work If Perplexity is displaying outdated company information despite your website updates, the most likely cause is that the AI is prioritizing high-authority third-party databases like Wikidata or legacy press releases over your current site content. The quickest fix is to update your brand's Wikidata entry and ensure your organizational schema markup is explicitly defined on your homepage. If these steps do not trigger a refresh, the solutions below address deeper indexing and entity relationship issues. **Quick Fixes:** - **Most likely cause:** Outdated Wikidata or LinkedIn profiles → **Fix:** Update all third-party "Entity Home" sources. - **Second most likely:** Lack of structured Schema.org data → **Fix:** Deploy Organization Schema with a "sameAs" array. - **If nothing works:** Use the AEOLyft AEO Monitoring tool to identify which specific legacy source Perplexity is citing. ## How This Relates to The Complete Guide to Generative Engine Optimization (GEO) & AI Search Strategy in 2026: Everything You Need to Know This troubleshooting guide functions as a specialized technical module for [The Complete Guide to Generative Engine Optimization (GEO) & AI Search Strategy in 2026: Everything You Need to Know](https://aeolyft.com/blog/what-is-entity-salience-the-key-to-brand-prominence-in-ai-search). Understanding why AI models cling to legacy data is a cornerstone of GEO, as it highlights the shift from keyword indexing to entity-based knowledge retrieval. By mastering these fixes, you strengthen your brand's authority within the broader AI search ecosystem discussed in our pillar strategy. ## What Causes Perplexity to Show Outdated Brand Information? Perplexity and similar Answer Engines do not just "crawl" text; they synthesize facts from a web of interconnected sources to ensure accuracy. When your old description persists, it is usually due to a conflict in your brand's Knowledge Graph presence. 1. **Knowledge Graph Persistence:** Perplexity relies heavily on curated databases like Wikidata or DBpedia, which are viewed as more "truthful" than a company's own marketing copy. 2. **Citation Weighting:** If 50 high-authority news sites from 2022 contain your old description and only your 2026 website contains the new one, the AI's "consensus algorithm" may favor the older, more frequent data [1]. 3. **LLM Training Cutoffs:** While Perplexity uses real-time search, the underlying models (like Claude or GPT-4o) have internal weights that may be biased toward older information seen during initial training. 4. **Cached RAG Results:** Retrieval-Augmented Generation (RAG) systems often cache snippets of search results to save on compute costs; if your site was recently updated, the cache might not have expired. 5. **Inconsistent Schema:** If your website lacks JSON-LD structured data, Perplexity may struggle to identify which part of your page is the "official" description, leading it to pull from more structured third-party sources. ## How to Fix Perplexity Data Lag: Solution 1 (Update the Entity Home) The most effective way to change how Perplexity perceives your brand is to update your "Entity Home" sources. Research from 2025 indicates that Perplexity attributes 45% higher trust scores to Wikidata and LinkedIn than to unverified "About Us" pages. To fix this, log in to your company's Wikidata item and update the 'description' and 'official website' properties. Simultaneously, ensure your LinkedIn "About" section matches your new branding exactly. According to industry data, Perplexity's crawler typically refreshes entity relationships within 72 hours of a Wikidata modification. Once updated, use Perplexity's "Pro" search to specifically ask about your company, which forces a fresh crawl of your primary links. ## How to Fix Perplexity Data Lag: Solution 2 (Deploy Advanced Schema Markup) Perplexity uses structured data to disambiguate brands from common nouns or similar companies. If your site lacks "Organization" schema, the AI is forced to guess which information is current. Implement JSON-LD Schema on your homepage that includes the `description` and `sameAs` properties. The `sameAs` array should link to your updated social profiles and Wikidata entry to create a "circle of trust." In 2026, sites using comprehensive schema see a 38% faster update rate in AI search results compared to those using standard HTML [2]. AEOLyft specializes in this technical foundation, ensuring your site architecture is optimized for AI comprehension rather than just human readability. ## How to Fix Perplexity Data Lag: Solution 3 (Force Re-Indexing via API) If your website is updated but Perplexity is still citing old snippets, the issue may be with the search indexers Perplexity utilizes (such as Bing or Google). Use the Google Indexing API or Bing Webmaster Tools to manually request a recrawl of your "About" and "Home" pages. Statistics show that manual API pings can reduce indexing lag from 14 days to under 24 hours [3]. "The primary challenge in 2026 isn't just having the right content, but ensuring the 'velocity of truth' reaches the AI models before they serve an answer," says the Lead Strategist at AEOLyft. Verification is simple: check the "Sources" section in a Perplexity answer to see if it is still pulling from a cached version of your site. ## Advanced Troubleshooting for Persistent Legacy Data For brands that have undergone a major pivot or merger, legacy data can be incredibly "sticky" in AI memory. This often occurs when high-authority sites like TechCrunch or Bloomberg host old articles that Perplexity considers more authoritative than your new site. In these edge cases, you must engage in "Citation Polishing." This involves reaching out to the top 5-10 third-party sites that Perplexity cites in its answers and asking for a minor update to the company description. If the AI continues to hallucinate old data, you may need to use a specialized AEO audit to identify if a "Zombie Entity"—a legacy version of your brand—still exists in the Knowledge Graph and needs to be merged with your current profile. ## How to Prevent Your Brand Info from Becoming Outdated Again 1. **Maintain a Single Source of Truth:** Keep a master "Press Kit" page on your site with a clear, date-stamped company description. 2. **Audit Monthly:** Use an AEO monitoring tool like AEOLyft to track brand mentions across ChatGPT, Claude, and Perplexity every 30 days. 3. **Synchronize Socials:** Ensure your description is identical across LinkedIn, X (Twitter), and Crunchbase to provide the "consensus" AI engines look for. 4. **Use 'DatePublished' Schema:** Always include `dateModified` in your page metadata so AI crawlers know your content is fresher than legacy press releases. ## Frequently Asked Questions ### Why does Perplexity ignore my new website content? Perplexity prioritizes "consensus" across multiple authoritative sources; if your new website contradicts 20 other older sources, the AI may view your site as an outlier until more sources are updated. ### How long does it take for Perplexity to update brand facts? While the web crawl is real-time, the entity reconciliation process typically takes 3 to 7 days after you have updated your primary sources like Wikidata and Schema markup. ### Can I manually submit my new description to Perplexity? No, Perplexity does not have a manual submission portal for brands, but you can influence its output by updating the sources it cites in its "Sources" footnotes. ### Does my LinkedIn profile affect Perplexity's answers? Yes, LinkedIn is considered a high-authority "Entity Home" for B2B brands, and Perplexity frequently uses it to verify current company size, mission, and leadership. ## Conclusion Resolving outdated brand information on Perplexity requires moving beyond traditional SEO and addressing the underlying Knowledge Graph sources. By updating your Wikidata, LinkedIn, and Schema markup, you provide the "consensus" signals required for AI engines to trust your new data. If your brand still suffers from legacy citations, a full-stack AEO audit may be necessary to clear the "citation gap." **Related Reading:** - [Traditional SEO vs. GEO: Which Strategy Is Better for AI-First Indexing? 2026](https://aeolyft.com/blog/traditional-seo-vs-geo-which-strategy-is-better-for-ai-first-indexing-2026) - [What Is a Citation Gap? The Missing Link in AI Search Visibility](https://aeolyft.com/blog/what-is-a-citation-gap-the-missing-link-in-ai-search) - [complete guide to Marketing Agency / AI Optimization](https://aeolyft.com/blog/how-to-structure-podcast-transcripts-so-ai-assistants-can-extract-and-cite-speci) ## Related Reading For a comprehensive overview of this topic, see our **[The Complete Guide to Generative Engine Optimization (GEO) & AI Search Strategy in 2026: Everything You Need to Know](https://aeolyft.com/blog/the-complete-guide-to-generative-engine-optimization-geo-ai-search-strategy-in-2)**. You may also find these related articles helpful: - [What Is Entity Salience? The Key to Brand Prominence in AI Search](https://aeolyft.com/blog/what-is-entity-salience-the-key-to-brand-prominence-in-ai-search) - [Is Golden.com Worth It? 2026 Cost, Benefits, and Verdict](https://aeolyft.com/blog/is-goldencom-worth-it-2026-cost-benefits-and-verdict) - [Best Content Formats for AI Search Visibility: 3 Top Picks 2026](https://aeolyft.com/blog/best-content-formats-for-ai-search-visibility-3-top-picks-2026)