Social Rocket
Social media pages regularly appear in AI answers, but their significance varies considerably depending on the search system. A joint analysis by SE Ranking and SE Visible shows for the queries examined: 67,66 percent of Google AI Overviews contained at least one link to social or community platforms. For Google AI Mode it was 32,39 percent, and for ChatGPT 8,4 percent.
These figures describe the share of answers containing at least one such source. They do not mean that two-thirds of all citations come from social media, nor that active company profiles automatically earn better AI rankings.
What was actually measured
The team examined 100.000 search queries from 20 topic areas in regular Google results and AI Overviews. For AI Mode and ChatGPT, 50.000 queries each were evaluated. In the classic Google top-10 dataset, 76,73 percent of search queries included at least one result from social or community websites.
Reddit appeared in 46,28 percent of organic search queries in the top 10, YouTube in 30,79 percent, Facebook in 30,52 percent. These values refer to a platform appearing anywhere on the first results page, not to the likelihood of a brand recommendation.
The original analysis by Planable and SE Ranking also makes clear that platform distribution varies widely by industry. Being cited in Google AI Overviews can mean being practically invisible on ChatGPT.
The researchers' LinkedIn experiment is interesting
Planable also reports its own test: of 25 articles published via personal LinkedIn profiles, eight appeared in 422 observed AI answers to 64 search prompts. A single post accounted for almost 78 percent of these mentions. In one analysed month, however, the company found no Gemini citations for the same posts.
This is a hint at possible distribution paths for expert knowledge, not causal proof of a LinkedIn ranking factor. The company itself sells social media software and AI visibility products. Sample size, prompt selection and commercial interest should all be kept in mind when reading the study.
The results fit with our report on YouTube as a source for AI search. At the same time, the AEO analysis for LinkedIn shows how teams can identify the questions their audience asks before producing content.
What consequences German brands can draw from this
Rather than posting more everywhere, brands should first examine the concrete questions their buyers ask. Do Google, ChatGPT or AI Mode draw on videos, discussions, specialist articles or official manufacturer pages for these? Only then can you decide whether LinkedIn, YouTube, Reddit or your own website is the more sensible investment for the topic.
For product information, prices, support and legally relevant details, a well-maintained own website remains indispensable. Social channels can provide supplementary experiences and explanations. Reliable reporting requires separate metrics for AI citations, visible recommendations, referral clicks and actual enquiries.
Our overview of the measurement of AI visibility and AEO explains why a single metric is often not enough to capture it. And Google Preferred Sources shows how the visibility of journalistic sources can also change.
Conclusion: Social media has long since become a source category in AI search as well. But the data does not support a blanket recommendation like "post daily and ChatGPT will recommend your brand." What matters is which questions which platform actually answers.