SEO Gets You Ranked. GEO Gets You Cited
The SEO vs. GEO debate blew up in my LinkedIn comments this week.
One take was intriguing, "Focus on SEO. Google's AI handles the rest."
The underlying assumption is that Google rankings feed AI answers 1:1. It’s not that simple. If it were, there would be no need for GEO.
How Google AI Overviews Work
Google AI Overviews run on a two-step Retrieval-Augmented Generation (RAG) process, and GEO practices matter at both steps, not just the second one.
Retrieval: Google's index still pulls candidate pages based on traditional SEO signals like technical health and backlinks, but retrieval increasingly happens at the passage level, using semantic relevance rather than pure keyword matching. That means the system is trying to pull out specific, clearly-written chunks of text that directly answer a likely query. A page can rank well overall and still get passed over here if its passages are dense or ambiguous, because the system can't confidently extract a clean answer from it. This is where GEO's emphasis on clear structure and answer-first writing starts to matter, before generation even happens.
Citation: Once candidate passages are retrieved, Gemini decides what to actually quote and attribute based on passage clarity, entity trust, and structured context. This is where GEO's authority signals, third-party validation, consistent entity descriptions, credible sourcing, do the most work.
GEO is leading AI Overview Citations
The process is skewing towards GEO taking the lead: as of early 2026, only 17-38% of AI Overview citations come from the top-10 pages, down from 76% seven months earlier. (sources: Ahrefs and BrightEdge)
That gap matters given what is happening with clicks. When an AI summary appears, organic click-through can drop by as much as 61%. The goal is to get cited within the answer.
What we described is true only for Google.
ChatGPT, Perplexity, and Claude don't use Google's SERP. Each pulls from its own web index and grounding layer (mechanism for pulling in real-time information). This means a page ranking #1 on Google might not have any presence on these platforms. Each is evaluating brand authority across the broader web, and each platform determines this authority slightly differently.
ChatGPT primarily grounds its search results through Bing's index, supplemented by OpenAI's own crawlers. In practice, this means Bing indexing and crawlability matter here in a way many B2B marketers don’t consider, given Google’s dominance.
Perplexity blends multiple indexes with its own real-time crawling, and it leans on primary research, news coverage, and community discussion. If Perplexity can't find your brand mentioned outside your own website, it has very little signal to work with.
Claude grounds its answers through live web search and places a premium on source credibility and consistency, meaning conflicting facts or wording about your company across different sites can hurt you.
The GEO Signals that Count
Across all three, the pattern is the same: does independent, verifiable information about this entity exist across the web, and is it consistent. That's evaluated through signals like:
· Earned media and press coverage
· G2, Capterra, and other review or comparison sites
· Reddit discussions and YouTube video transcripts
· Structured entity profiles (Wikidata, Crunchbase)
If your brand's main activity is on your own website, AI models have no way to verify you exist as a real, trusted entity. You are invisible until a third party verifies your claims.
So how do you check where you stand?
Open ChatGPT, Perplexity, and Claude and ask, "What do you know about [your company]?" Then, ask each, “What is the best company for [your category]?” This second question is one your buyers will ask, and it is essential to see if you show up. You should regularly audit your presence in AI-generated answers, sometimes searched as "LLM-generated responses," to keep a pulse on how you are appearing
More GEO Signals for B2B Companies
Also, check to see where you stand with these basics, which many B2B companies skip:
· Do you have a Wikidata or Crunchbase entry?
· Is your company listed on G2 or Capterra? Does it have reviews vs. just a claimed profile?
· Has your company appeared in a Reddit thread or YouTube video in the last year? Was it your take or someone else’s?
If the answer to most of these is no, that's not a ranking problem. It's an existence problem, as far as these models are concerned.
Build Multi-Platform Authority
The companies winning in 2026 aren't choosing between SEO and GEO. They're building multi-platform authority that holds up where buyers are doing research, on Google, and off it.
If you're a B2B tech company wondering whether AI models even know you exist, that's exactly the gap I've been heads-down in solving. Let’s talk.