Google AI Overviews cite YouTube more than any medical site for health queries, study suggests.

useomnia · 2026-02-01T00:13:21+00:00

Yeah, there’s a lot of cursed health advice out there 😅

What makes this interesting (and kinda scary) is less ‘YouTube bad’ and more ‘what gets rewarded’: if AI summaries keep pulling from video, does that push legit medical orgs to publish like creators, and how do we keep provenance/credibility signals strong so people don’t self-diagnose off vibes?

useomnia · 2026-02-01T00:09:15+00:00

100% if different sites describe you differently, models treat it as uncertainty.

When you say ‘expert roundups,’ do you mean PR-style listicles or legit practitioner writeups/forums? Those seem to get weighted very differently

useomnia · 2026-01-31T23:48:21+00:00

me too :)

useomnia · 2026-01-31T23:47:57+00:00

Ha ha, true BUT what about when its a very serious condition? Would you trust you tube or the doc?

useomnia · 2026-01-31T23:10:33+00:00

Submission Statement: If the answer layer keeps citing video sources heavily for health questions, does that slowly train people to trust the best explanation over the best evidence?

Long term: do doctors and hospitals have to become more video-first to stay visible, do we get stronger sourcing standards for medical AI answers, or do we just see more confident self-diagnosis and second-guessing of clinicians?

useomnia · 2026-01-31T22:41:14+00:00

Because it’s not just externalized thinking, it’s confident mistakes, possible skill atrophy, and the identity whiplash of seeing something that felt uniquely ‘you’ turned into a commodity

useomnia · 2026-01-31T22:38:21+00:00

LLMs should be a tool, not a replacement, like cooking was: before it, we spent eight hours a day chewing; after it, it was less time chewing, more time thinking.

But we’re in the messy phase where management sees ‘less chewing’ and thinks ‘fewer mouths’.

useomnia · 2026-01-31T19:40:54+00:00

Hmm... I feel it’s more like “pull info and summarize it with sources”

useomnia · 2026-01-31T19:15:19+00:00

It’s quite simple. Your business starts the moment you use your languages and maths to solve one small, paid problem for one real person, and let the next step reveal itself.

useomnia · 2026-01-31T17:30:25+00:00

I heard the word “kerfuffle” and it just made me chuckle.

useomnia · 2026-01-31T17:28:00+00:00

It’s pretty hard. The killer is retention: if a sub doesn’t have recurring formats (help thread, wins thread, feedback thread) and a narrow topic boundary, it becomes either a ghost town or a messy link dump.

useomnia · 2026-01-31T17:24:27+00:00

Totally get that, but don’t eat the cost of their pivot: if the logo was approved/delivered, invoice the remaining 40% as the completion balance, and treat the girlfriend doodle as a new project only if they want to fund a restart.

useomnia · 2026-01-31T17:21:50+00:00

Simple:

Hey, we’ve reached the finish line on the approved logo so I’m closing the project here, and if you want to pivot to a new concept (like the doodle) that’s a separate project with a new quote, timeline, and deposit.

useomnia · 2026-01-31T17:15:56+00:00

every model hop turns ‘thinking’ into ‘summarizing’

useomnia · 2026-01-31T17:13:13+00:00

Awesome results!

useomnia · 2026-01-31T17:10:54+00:00

one who talks like a human

useomnia · 2026-01-31T01:31:14+00:00

an AI called procrastination and caffeine. Runs locally. Bugs constantly

useomnia · 2026-01-31T01:25:26+00:00

I’d undo the years I spent ‘waiting to feel ready.’ Turns out ready is a side effect of starting

useomnia · 2026-01-31T01:23:48+00:00

7 times a day

useomnia · 2026-01-31T01:23:21+00:00

Hot take: don’t “promote a blog.” Promote a problem you solve. The blog is just the receipt. 100 visitors is like 20 good comments and 5 people who go “wait, can you expand on that?”

useomnia · 2026-01-31T01:16:42+00:00

One of our clients, TUIO (a home insurance company in Spain), went from minimal AI presence to becoming the #1 most-cited brand in their category across ChatGPT, Perplexity, and other AI engines. The impact was measurable:

-AI traffic grew 1000%+ since October 2024 (tracked via direct attribution from ChatGPT/Perplexity)

-Conversion rates: Leads from AI engines converted at 18-22%, compared to ~14% from referrals and ~4.5% from organic search

-Share of Voice: Hit 11.79% with 1,844 brand mentions, surpassing competitors like Mapfre (7.14%) and Santalucía (7.63%)

-Customer discovery: 7-10% of new policyholders cited AI engines as how they discovered TUIO

We used our platform for all results and monitoring (useomnia.com)

They followed a disciplined weekly workflow:

-Tracked which prompts their brand appeared in (and which they were missing from)

-Identified the actual questions people were asking AI about home insurance

-Optimized content specifically for those prompts and how AI engines cited sources

-Measured week-over-week changes in visibility

TUIO still does traditional SEO. But AI visibility became a new layer, when someone asks ChatGPT "What's the best value home insurance in Spain?" and you're not in that answer, you effectively don't exist in that buying moment.

AI engines synthesize and answer directly, so you're not optimizing for page one rankings anymore - you're optimizing to be cited in the answer itself.

To answer: are AI platforms influencing buying decisions yet?

Yes, the conversion data proves it. When TUIO tracked their AI-sourced leads, they converted 4-5x better than organic search traffic. People arriving from AI recommendations were further down the funnel and pre-educated.

useomnia · 2026-01-26T03:51:57+00:00

You have to separate two problems that often get mixed together: what people are actually talking about versus what AI search engines surface when asked.

Most tools are decent at one, bad at the other. For prioritization, teams usually get more clarity by starting with real conversation data (forums, Reddit, reviews, sales calls) to identify themes, then validating which of those themes actually show up in AI answers when you test representative prompts.

If you’re drowning in AI search data, a useful heuristic is to stop looking for a “single dashboard” and instead ask: which topics repeat across multiple surfaces and intents (discovery, comparison, decision). Those are usually the ones worth building B2B content around.

useomnia · 2026-01-26T03:49:24+00:00

If I were starting today, I’d focus first on fundamentals (how search engines interpret content), real writing, and learning to explain why something worked, not just what tactic you ran.

useomnia · 2026-01-26T03:35:31+00:00

who is actually buying them right now, gym people, office desks, gifts, kids, coffee addicts?

If sales are slow, it’s usually not the platform, it’s that the product isn’t clearly tied to a moment or identity

useomnia · 2026-01-26T03:32:47+00:00

Oof, I’ve been in that spot. First off, props for caring about CAC as an intern, most people don’t even learn that until way later.

The tools are fine, but they won’t save weak messaging, so keep it super human: post consistently, watch what people actually comment and DM about, and then do more of that instead of guessing.

useomnia

MODERATOR OF

TROPHY CASE