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Are you focusing your AI visibility and PR efforts on Reddit, Wikipedia, and media sites like The New York Times? You could be wasting your time and money.
In this episode of the Grow and Convert Marketing Show, we dive into the data from our new study on Large Language Model (LLM) citation patterns. We reveal why the advice you see on LinkedIn and in broad industry reports—telling you to chase large, general-purpose sites—is completely misleading for most businesses, especially B2B and niche companies.
What You'll Learn:
86% of citations are for industry specific sites vs. 14% for "general purpose sites": See actual data from our client base that shows 86% of LLM citations for niche topics come from industry-specific publications, while Reddit, Wikipedia, and YouTube account for only 14%.
Differences in how to approach AI visibility for your brand vs. Household name brands: Discover why B2C household names (like Tesla and Peloton) do get cited on general sites, but your niche B2B software company won't.
The problem with measuring random prompts: Understand how broad studies that use 5,000 randomly selected keywords are statistically biased toward consumer queries, making their findings irrelevant to your specific business goals.
A New Tactical Framework: Learn the exact, actionable steps for a Citation Outreach strategy that works : how to choose the right topics, identify the actual cited domains using tools or manual checks, and target your PR efforts where they will actually drive AI visibility.
Stop doing general PR and start showing up in the AI answers that matter to your bottom line.
Links & Resources:
Read the full article for more detail on the study: https://www.growandconvert.com/research/llms-source-industry-sites-more-than-generic-sites/
Check out our AI Visibility Tool: https://traqer.ai
Catch up on our overall GEO Framework: https://www.growandconvert.com/ai/prioritized-geo/
Don't forget to like, subscribe, and comment to support the Grow and Convert Marketing Show!
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