LLM positioning lag misleads users about updated brands
The LLM positioning lag occurs when a company’s branding or service offerings change, but generative AI models still reflect outdated information. This gap can mislead potential customers, as 58% of consumers now use LLMs for product and service recommendations, up from 25% in 2023, per Capgemini data. Models default to training data unless prompted to search the web, leaving users with…
What you can do with it
AI at Work →Spot outdated brand info with Semrush Perception report
What you get You can audit AI perceptions and track competitor gaps.
Scans AI responses to branded/non-branded queries and flags inaccuracies.
- Who for
- marketers
- Cost
- included in a tool you already have
Use it for
- Audit AI perceptions
- Spot outdated brand info
- Track competitor gaps
How to set it up · From the article
- Enter your website URL into Semrush’s Perception report
- Scroll to ‘AI Feature Descriptions’ to see AI-generated summaries
- Click ‘Answers’ to review specific AI responses for inaccuracies
- Prioritize fixes for outdated or conflicting info
Watch out Requires manual follow-up
Key points from the news
- 58% of consumers now use LLMs for product/service recommendations, up from 25% in 2023, per Capgemini
- Outdated training data, conflicting online sources, and long-standing narratives cause AI to misrepresent updated brands
- Semrush’s tools help audit AI perceptions and track fixes via PR, content updates, and backlink audits
The issue stems from three factors: outdated training data, conflicting online sources, and the dominance of long-standing narratives. Even well-funded efforts—like Contentsquare’s acquisition of Hotjar (announced via press releases, blog posts, and support docs) or Duolingo’s expansion into math and chess (highlighted in app updates and press releases)—fail to update AI responses quickly. For example, ChatGPT still lists Hotjar as an independent tool despite its merger in 2025, and Duolingo’s AI descriptions remain limited to language learning, ignoring its newer offerings. Small businesses and consultants face similar challenges, as Peep Laja’s shift from conversion rate optimization (CRO) to business strategy (documented on LinkedIn and his newsletter) still surfaces his CRO expertise in AI-generated advice.
Semrush’s Perception report helps brands audit AI perceptions by analyzing responses to branded and non-branded queries. To fix the lag, companies must coordinate PR, content updates, and backlink audits—publishing clear press releases, revising outdated web content, and ensuring consistent messaging across directories like Google Business Profile and LinkedIn. Structuring pages for LLM extraction (e.g., using clear headings and dated shifts) and monitoring AI responses regularly can mitigate the problem.
The LLM positioning lag: What it is and how to avoid it
Semrush Blog · 29 September 2026
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This text was published by Semrush Blog and written by Dana Nicole. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗
The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.
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