u/Edithkennedy_

the GEO wikipedia entry quietly got updated this week. most of it is what you'd expect, semantic relevance, AI overviews, citation behaviors. but there's a line that says by early 2026 the focus shifted toward semantic relevance because of the integration of advertising into conversational AI.

so let me get this straight. we had organic search become 60% paid SERP and we all complained for a decade. now we're going to pretend AI chatbots will stay clean and answer-focused while monetization happens? the wikipedia note is basically saying it's already starting. perplexity has sponsored answers. google AI overviews are testing ads. chatgpt search will follow. we're maybe 18 months from "sponsored sources" being the standard.

im a marketer so part of me sees the upside, paid placement in chatgpt could be a goldmine, especially for brands too small to win the organic citation game. but the rest of me thinks we are about to repeat 2010-2018 except faster. organic AI visibility will degrade as the surface gets crammed with paid stuff, then the only people who win are big budgets, and the small/mid players who built audiences on "answer-the-question well" content will get squeezed.

so the question for everyone here, are you already factoring future AI ads into your strategy? like building content that wins citations now while ads are minimal, or saving budget for paid AI placements when they open up, or just ignoring the whole thing because it's too speculative? id rather have an opinion than be flat-footed when this rolls out hard.

also, anyone been in a beta for sponsored answers in perplexity or chatgpt search? what did the results look like compared to normal SEM? not asking for the secret sauce just want a vibe check on whether the click-through is closer to display ads or closer to high-intent search ads

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u/Edithkennedy_ — 16 days ago

After spending some time digging into how ChatGPT actually picks sources, the way I look at content has shifted.

When someone types a question into ChatGPT, the model doesn't search that question. It generates a set of internal sub-questions from the user's prompt , fanout queries , and searches those instead. Your content isn't competing for the visible question, it's competing for the invisible ones.

Take an example. A page that ranks #4 for "best project management software" can get skipped entirely because a competitor ranks better for "asana vs trello for remote marketing teams" , because that's the sub-query ChatGPT actually ran.

In one large-scale study, 32.9% of cited pages only showed up in fanout sub-query results. They never appeared in the original prompt's results at all.

The mental shift that's been working for me: stop asking "what keywords do my customers search" and start asking "what follow-up questions does AI think someone actually needs answered."

Old SEO: rank for the query.

New reality: rank for the question AI decides to ask on the user's behalf.

Your customer searching "best nursing schools" might have no idea they need to know about NCLEX pass rates. ChatGPT does. It searches for it. And it cites whoever wrote that answer cleanly into an H2.

This one is genuinely new. I don't think most content teams have actually internalized it yet.

reddit.com
u/Edithkennedy_ — 17 days ago