A founder asked me last week if he could “skip the SEO stuff” and just optimize for ChatGPT and Perplexity. He’d read three breathless posts about GEO, AEO, and citation engineering. He thought traditional SEO was the past.
Here’s what I told him, and what every recent dataset confirms: there is roughly a 92% correlation between pages that rank in the organic top 10 on Google and pages that get cited in Google AI Overviews. Your blue-link rankings are not a separate world from AI visibility. They are the on-ramp.
That is the unglamorous truth nobody wants to publish in a hot take.
The mechanic — why retrieval looks a lot like ranking
AI search engines don’t read the open web in real time. They use retrieval pipelines: candidate pools, relevance scoring, freshness filters, source-quality weighting. The candidate pool for ChatGPT, Perplexity, AI Overviews, and Gemini is built on the same signals classical search uses — crawlability, internal linking, topical depth, query-page relevance, authority.
If a page can’t be crawled cleanly, an LLM can’t ingest it. If it isn’t relevant for the query, it isn’t pulled into the candidate set. If it’s slow, the embedding pipeline deprioritizes it (pages with FCP under 0.4s average 6.7 citations versus 2.1 for over 1.13s). Bad SEO fundamentals are upstream of bad AI visibility. No amount of “GEO content” survives a broken crawl path.
Then the AI layer adds its own filters on top — answer-unit structure, statistic and quote density, entity consistency, fresh updates. But those filters operate on the candidate pool that classical SEO built. If you’re not in the pool, none of it matters.
What a “skip the basics” strategy actually looks like
I’ve audited a dozen sites this year that bought the “GEO is different” pitch. Same pattern every time: thin technical SEO, slow page speed, broken internal links, no entity consistency between site and Wikidata, no schema, and a flurry of new “ChatGPT-optimized” content sitting in folders Googlebot has never visited. Their AI visibility was zero. Of course it was — they were invisible to the layer underneath.
The fix is never spectacular. It’s the same boring list it’s been for fifteen years, with a few modern items added at the end:
- Crawlable site, clean canonical tags, no orphan pages
- Strict H1 → H2 → H3 hierarchy on every important page (68.7% of cited pages do this)
- Internal links from authoritative pages to deep ones
- Page speed under 1 second to FCP wherever possible
- Real backlinks from real sites — sites with 32K+ referring domains are 3.5× more likely to be cited by ChatGPT than sites with under 200
- Then layer on the new stuff — entity work, citation-engineered paragraphs, freshness cadence, schema
The new stuff is real. It just sits on top of the old stuff. Skip the foundation and you are decorating a building you haven’t poured.
Why the 92% number matters strategically
A 92% overlap between the organic top 10 and AI Overview citations means something specific: ranking work is dual-purpose. Every dollar spent making a page rank #6 is also a dollar spent making it citable. You don’t have to fund two parallel programs. You have to fund one program that ends in two outcomes.
That reframes the budget conversation in every agency-client call I’ve had this year. “GEO” isn’t a separate line item. It’s a layer added to the SEO line item. Anyone selling it as a parallel discipline is either confused or selling 2× the hours for 1× the work.
What to do this week
1. Pull your top-10 ranking list. Filter for any page on a high-intent commercial query. That is your AI-citation candidate pool. Fix indexability, page speed, internal links, and heading hierarchy on those pages first.
2. Compare your ranking pages to your AI-cited pages. Run a manual prompt audit — ask ChatGPT, Perplexity, AI Overviews, and Gemini your top 20 queries and log which URLs they cite. The overlap tells you where retrieval is doing its job. The non-overlap tells you which pages need on-page AI work — answer units, stats, quotes, entity reinforcement.
3. Audit any “GEO-only” content for traditional SEO basics. If a page can’t be reached in three internal clicks from your homepage, it isn’t in any candidate pool — AI or otherwise.
4. Stop writing new “GEO content” until the foundational pages are clean. New articles inherit the site’s authority signals. Pouring content onto a broken site is the slowest possible way to be cited.
The agencies pitching “GEO replaces SEO” are selling a story. Retrieval pipelines, candidate pools, and a 92% top-10 correlation are saying something quieter and more useful: do the unsexy work, then add the new layer.
If you’re a brand that wants to be the answer LLMs reach for (not just rank on Google), Paris Roussos has been engineering search visibility for 30 years and now runs done-for-you AI SEO. Flat-rate, no-fuss. Email parisroussos@gmail.com.
The future of AI SEO looks a lot like the past — only the people who kept doing the boring parts are getting cited.