Is SEO Becoming Obsolete? What ChatGPT Really Means for Search

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Ronnie Huss

Every few months, there’s a fresh wave of headlines declaring SEO dead. Latest trigger? ChatGPT. This time, they say, it’s really over. Google’s irrelevant. Keywords are pointless. Everything you’ve spent years building is about to get swept away.

Key Takeaways

  • Every few months I see a fresh wave of headlines declaring that SEO is dead.
  • Everything you’ve spent years building is about to be swept away.
  • But I do think something real is changing – and the nuance matters if you want to make smart decisions about where to invest your time and budget right now.

I don’t buy the doom and gloom. But here’s the thing – something genuinely is shifting, and if you’re trying to figure out where to put your time and money right now, the details matter more than the headlines suggest.

Here’s my honest take, based on running SearchScore and auditing over 700,000 websites for AI search visibility.

Key Takeaways

  • What’s actually happening to search
  • What SEO skills transfer to AI search
  • What doesn’t transfer
  • The hybrid strategy that actually works

What’s actually happening to search

Search isn’t dying. It’s splitting.

Google handles roughly 8.5 billion searches daily. That’s not exactly a platform in decline, is it? Traditional search – type a query, click a link, read a page – remains the dominant behaviour for hundreds of millions of people.

But alongside it, a parallel system is growing fast. ChatGPT now has over 100 million weekly active users, plenty of whom use it to research purchases, find service providers, get recommendations. Perplexity is adding users rapidly. Google itself rolled out AI Overviews that summarise answers right on the results page, cutting the need to click through at all.

These two systems – traditional search and AI search – play by different rules. Content ranking well on Google doesn’t automatically appear in AI answers. Content AI tools cite doesn’t necessarily top Google. Related, but they’re separate games.

SEO isn’t becoming obsolete. It’s becoming insufficient on its own.

What SEO skills transfer to AI search

If you’ve been doing good SEO, you’re not starting from scratch. A lot of what makes a website strong for Google also helps with AI tools – though for different underlying reasons.

Technical site health. Clean code, fast loads, mobile responsiveness, crawlable structure – all matter for both. AI crawlers work similarly to Google’s bots when traversing a site. Technically broken website? Invisible to both.

Quality content writing. That core instinct to write clearly, answer questions specifically, serve the reader’s intent – transfers directly. AI tools look for the same thing a good editor looks for: clear, credible, direct answers to real questions. Years spent writing for humans who need useful information? That’s exactly the right training.

E-E-A-T signals. Google’s Experience, Expertise, Authoritativeness, Trustworthiness framework was built to surface credible sources. AI tools do something similar when picking what to cite. Demonstrating genuine expertise, maintaining consistent author profiles, building credible external presence – all matters for AI visibility too.

External authority. The habit of earning links and mentions from reputable sources translates to what AI search calls entity signals – the external footprint telling AI tools your business is real and trustworthy. The tactics differ, but the underlying logic’s the same.

What doesn’t transfer

This is where it gets interesting. Some SEO practices still working for Google have little to no impact on AI visibility – and a few can actively work against you.

Keyword density and stuffing. Optimising for exact-match keyword frequency is largely irrelevant to AI tools. They understand context and meaning, not word counts. A page saying “emergency plumber London” seventeen times won’t get cited more than one clearly explaining what the plumber does and where they operate.

Title tag optimisation for click-through. Getting someone to click a search result is a Google problem. AI tools don’t show your title tag and invite a click – they read content and decide whether to quote it. A title engineered for SERP clicks has zero advantage in AI search.

Rank tracking as a primary metric. Your Google position tells you nothing about AI search visibility. A site can rank page one on Google and be completely absent from AI answers, because the technical signals AI tools need are different. Measuring only Google rankings gives you a false sense of security.

Link building as the primary lever. Backlinks remain important for Google, but AI tools weight sources differently. Schema markup, entity signals, content clarity, structured factual information matter more for AI visibility than raw number of sites pointing at you.

The hybrid strategy that actually works

Businesses I see winning right now aren’t abandoning SEO. They’re layering a second discipline – GEO, or Generative Engine Optimisation – on top.

GEO is the practice of optimising your website to be cited and recommended by AI search tools. Has its own signals, technical requirements, content principles. But it doesn’t require tearing up what you’ve built for Google.

Here’s how I’d structure the approach:

Keep doing SEO for Google. Traditional search is still the majority of search activity. Maintaining Google rankings while the market shifts is sensible – don’t abandon revenue because a new channel is growing. Continue building quality content, earning links, maintaining technical health.

Audit your AI visibility separately. Run a SearchScore audit to see where you actually stand for AI search. The score is measured separately from Google rankings – because they’re measuring different things. Most businesses discover they’re doing well on Google but scoring poorly for AI visibility, which tells you exactly where work is needed.

Add the GEO layer systematically. Most impactful GEO changes: ensure AI crawlers aren’t blocked in robots.txt, add structured data schema for your business type, build consistent entity signals across directories and review platforms, rewrite key pages to open with clear factual statements rather than marketing waffle.

Measure both. Track Google rankings and AI visibility score separately. They’ll tell you different things. A site strong on both is genuinely well positioned as search evolves over the next few years.

The window is still open

Here’s what I keep telling anyone who asks: competitive advantage from GEO is real and available right now, precisely because most businesses haven’t acted yet.

When Google launched, there was a period where businesses moving early on SEO built positions that took years for competitors to close. We’re in a similar window with AI search. Tools are new. Optimisation practices aren’t yet widespread. The gap between businesses that have done this work and those that haven’t is large – and widening.

SEO isn’t dead. But it’s no longer sufficient on its own. Businesses adding a GEO layer now – before competitors notice the shift – are the ones that’ll look prescient in three years’ time.

If you want to see where your site actually stands for AI visibility, SearchScore gives you a full breakdown in about 60 seconds. Free to run, no sign-up needed.

Check your AI search visibility at searchscore.io →

Is SEO Becoming Obsolete? What ChatGPT Really Means for Search

About the Author

Ronnie Huss is a serial founder and AI strategist based in London. He builds technology products across SaaS, AI, and blockchain. Learn more about Ronnie Huss →

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Written by

Ronnie Huss Serial Founder & AI Strategist

Serial founder with 4 successful product launches across SaaS, AI tools, and blockchain. Based in London. Writing on AI agents, GEO, RWA tokenisation, and building AI-multiplied teams.

Part of the GEO Guide by Ronnie Huss
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