u/ElegantGrand8

We just hit 2,000 optimizers!

When I started this sub I honestly wasn't sure if this would pick up any steam.

This space didn't exist 6 months ago. Now there are 2,000 of us.

Thank you to everyone who has posted, commented, upvoted, downvoted, reported spam and much more.

I want to keep making this the most useful corner of the internet for anyone working on AI search visibility. What do you want to see more of here and what do you want to improve here?

Here's to the next 2k.

reddit.com
u/ElegantGrand8 — 8 days ago
▲ 18 r/AISearchOptimizers+1 crossposts

Google Search Central published a new episode with Nikola Todorovic (15-yr Googler, leads SafeSearch eng). It's the most concrete thing Google has said about how AI Overviews and AI Mode actually work under the hood. Notes:

1. Query fan-out is the mechanism behind AI Overviews and AI Mode.

When you type a longer or vaguer query, Google identifies related sub queries and runs them in parallel, then merges the retrievals. That's why "vegetarian restaurants in zurich open now near me" works as well as keyword strings.

>"We can fork and in parallel do the retrieval for multiple search queries. That can all come back into one original, more complex query."

Practical implication: optimizing for one head term is dying. You need to be retrievable across the cluster of fan-out queries Google will spawn off the user's actual prompt.

2. AI Overviews are a "stamp on top". Ranking still matters.

>"The whole retrieval system, the whole ranking system is the old style, the old school... AI Overviews is a feature that stamps on top of this and operates on its own."

If you weren't already ranking, you're not in the AI Overview source set. There's no separate AI Overview index.

3. AI Mode is different. Bigger platform, still uses search.

AI Mode runs fan-outs and cites sources, but it has its own infrastructure. Multi-turn conversation, and more willingness to use the LLM's parametric memory for stuff like "capital of France" without retrieval.

4. AI in Google is not Gen AI. Google's been shipping ML in search for 12+ years.

SafeSearch ran convolutional nets on images ~12 years ago. BERT and MUM were isolated signals feeding the ranking stack. Gen AI is layered on the same architecture, not a rewrite.

5. Average query length is growing. Google sees it as new traffic, not cannibalized.

>"We do see new traffic. This new wave of traffic is a consequence of users being able to see there is something new I can do over here."

People aren't just rephrasing old queries. They're asking things they'd never have searched for before. New query surface = new content opportunity, but only for content that answers messier, longer intent well.

6. The advice to site owners is uncomfortably simple: provide value AI can't paraphrase.

The host had a great riff on tech blogs that "put words around spec sheets". AI does that now, better and cheaper. What survives is experience, opinion, testing, specific use cases.

>"Just multiplying all the content because it's cheap and easy... it's not going to provide a ton of value."

A few things I noticed:

  • Nothing here contradicts what good SEO has been saying for 18 months. But hearing Google describe the fan-out mechanism explicitly is useful. It reframes "should I optimize for this exact phrase" into "is my content retrievable across the cluster of related queries Google will spawn from this intent."
  • Zero mention of doing anything special for AI Overviews or AI Mode. No new schema, no new tag, no new rel attribute. Provide value, rank well, the AI layer pulls from the same retrieval.

Episode: https://www.youtube.com/watch?v=_R04ySodhGE

u/ElegantGrand8 — 17 days ago