On August 18, 2026, Lemuel Park, co-founder and CTO of BrightEdge, published a reading of 300 million monthly US searches that shifts the conversation on social media and generative AI. We covered here how AI Overviews is arriving in France before September 23, 2026 and what that timeline changes for an SME’s visibility. The question left open is more specific: once Google starts citing social content in its AI answers, which platform captures those citations, and why.
The timeline gives a concrete reason to look at this now rather than after the fact. Once AI Overviews also answers in France from your own social content, the question stops being theoretical: it will determine which pages or posts a leader should polish first. The BrightEdge study, run on the US market where Google has shown this format for longer, offers a head start on anticipating what France will see in turn.
A 1-to-250 ratio that isn’t about audience size
According to the BrightEdge study relayed by Search Engine Journal, Facebook appears 19.5 million times in Google’s AI answers, against 877,000 times for Instagram and 78,000 times for TikTok. A “citation” here means a passage or a link drawn from one of these platforms and reused as-is in Google’s generated answer, not simple ranking in classic search results. The ratio between the top and bottom platform tops 1 to 250. The instinct is to read that number as a Facebook win in audience or B2B usage, which the rest of the study corrects right away: the variable that explains the gap isn’t audience size, it’s the type of question asked. Roughly one in 15 US searches leads to an AI answer citing Meta, Facebook or Instagram content, a volume neither of the other two platforms approaches on its own.
What each platform actually gets cited for
The study segments citations by search intent, and the hierarchy becomes clear. Facebook dominates local, time-sensitive and community queries: the study cites a search like “used canoe for sale” as an example, tied to a group or a local listing rather than a retail site. Instagram captures shopping and lifestyle content, on searches like “most beautiful travel destinations”, with a clear tilt toward purchase: 90% of its citations sitting at the bottom of the funnel fall in the purchase phase, against 23% of Facebook’s bottom-funnel citations, which arrive after the purchase, on returns or troubleshooting questions. TikTok stays concentrated on trends and how-tos, down to very specific jargon questions (the study cites a search for the meaning of a technical Formula 1 term), which explains its more modest citation volume: an AI answer rarely finds a precise object or place there, it finds a use case or a demo. The study also mentions Reddit for comparison, cited on lived-experience questions, a register close to where Facebook shows up post-purchase. What these numbers document is a match between the type of question asked and the type of content each platform is most precise on, independent of its overall popularity.
A US signal, published by an SEO tools vendor
Two caveats are worth raising before carrying these numbers over to a French context. BrightEdge is a vendor of SEO and AI-visibility tracking tools: the company has a direct commercial interest in showing that AI citations can be measured and managed, the same way Backlinko or WordStream do for classic search. That doesn’t make the numbers false: the methodology (300 million monthly US searches, analyzed through the company’s own tool) is solid and checkable, but the reading holds up better as fact than as authority: BrightEdge is cited for what it measured, not as a neutral referee on the topic. Second, the sample covers US searches: raw volumes don’t transfer as-is to a French market, where social habits, query language and search behavior differ. What travels from one market to the other is the principle of segmenting by intent, not the volumes. A French SME can take away that question type matters more than the trendy platform, without assuming a comparable order of magnitude or the same timeline observed in the US.
The question that replaces “which network to be on”
The practical consequence comes down to reframing the original question. Instead of asking which social platform to be on, a call usually driven by available budget or whichever platform is trending, the starting point becomes the content itself: what type of question does it answer, and is this the platform where AI cites that type of answer. That’s also what choosing your social platform instead of spreading thin suggests elsewhere on this blog, with one added criterion since this study: AI citations, alongside reach. The study itself recommends measuring citations earned in addition to reach or follower count, and getting SEO, social and PR teams to work together instead of in silos, three functions that, in many SMEs, share neither metrics nor a publishing calendar.
In practice, this means sorting existing content before scheduling anything new. A post answering an availability or opening-hours question is more likely to get cited if it lives on Facebook; a product page or a lifestyle scenario is more likely to get cited on Instagram; a filmed demo is more likely to get cited on TikTok. The best-written content isn’t enough if it’s published in the wrong place for the type of question it answers. The table below summarizes this match, to adjust for your own sector rather than apply as-is.
| Content type | Question type it targets | Consistent platform |
|---|---|---|
| Local practical info, hours, used item for sale | Local or time-sensitive question | |
| Product page, brand world, before/after | Purchase or inspiration question | |
| Demo, tutorial, creative use case | Trend or how-to question | TikTok |
This table doesn’t replace a content audit, it’s a starting point: before producing for a platform, check whether what you plan to publish there matches the type of question it’s actually cited for. A business publishing tutorials on Facebook or local listings on TikTok is, by this segmentation, working the wrong platform for that specific content, regardless of the follower count it has built up there.
The 1-to-250 ratio between Facebook and TikTok says less about the value of either platform than about the range of questions Google still routes through social media before answering them. And if this reading makes you rethink how your content is split across platforms, write to us, we’re curious.
Photo credits: Pixabay/StartupStockPhotos, Pixabay/Pixelkult, Pixabay/RonaldCandonga.
