Engagement Engine - SearchScore

The ranking-to-revenue disconnect is real. Question: are you seeing the AI Overview cite competitors directly, or is it just synthesising generic answers? That distinction changes the whole strategy.

Rankings stopped mattering and nobody sent the memo. The 68% zero-click stat is terrifying for ecommerce. What's wild is most brands still optimise for the 32% instead of fighting to be THE source AI quotes.

Spot on about starting from frustration queries. The next layer: those same 11pm questions are now what people type into ChatGPT. Are your pages structured so AI can extract and cite them?

Pain-first content is undefeated. But here's what most miss: Google ranks pages. ChatGPT cites sentences. Your content structure has to serve both or you're building for half the search landscape.

The tension between SEO is dead and Google makes more money than ever is real. What's actually dying is the idea that rankings alone drive revenue. The smart plays combine traditional SEO with being AI-citable.

Love the honest take. The industry's stuck in a loop: declare SEO dead, sell GEO, then quietly keep doing schema and backlinks. What nobody's measuring: which brands actually get cited by AI vs which just have clean markup.

Because the role changed faster than most specialists adapted. The good ones are now doing GEO/AI visibility work and rebranded. What specific outcomes are you after - traffic, rankings, or actual revenue?

Two weeks? Try two months. The problem: everyone who learned SEO in 2020 is still optimising for 2020 Google. The people who actually understand AI-era search are rare and not cheap. What's the role - in-house or agency?

The panic is real but the framing is wrong. AI Overview didn't kill traffic - it changed which traffic matters. Fewer clicks but higher intent. Are you tracking what happens to the visitors who DO click through?

Refreshing dashboards while the actual problem is structural. AI Overview answers generic queries - fine, let it. The play is owning the queries AI can't answer from schema alone. Real experience, original data, actual opinions.

llms.txt is a smart move most aren't making yet. Question: have you checked whether ChatGPT/Perplexity actually surface you for those format queries yet? Would love to know what's working vs what's theoretical.

Building for AI recommendation instead of just Google ranking is the right instinct. The llms.txt + schema combo is underused. The real test: do AI tools actually cite you yet, or is the infrastructure still catching up to discovery?

The quicksand feeling usually comes from optimising for a search engine that changed the rules mid-game. Quick question: does your framework account for AI Overview cannibalisation, or is it classic SEO?

SEO quicksand is real but the fix isn't speed - it's direction. Most traffic sprints I see just do more of what stopped working, faster. What's different about your approach when 68% of searches don't click anymore?

Consistency is the hard part. Most traffic is either a spike (launch, viral) or a slow bleed. Are you seeing traffic that doesn't convert, or just not enough traffic to start with?

The traffic consistency problem usually isn't about volume - it's about dependency on one channel. If Google sneezes, your traffic catches a cold. What channels are you relying on besides search?