It's not an "either/or" choice. SEO still brings the demand that starts on Google; GEO captures the demand that now begins in ChatGPT or Perplexity. This is a decision guide: how to combine SEO and GEO in a B2B strategy, which to prioritise and why, based on your sector and your site's maturity.
For a B2B company in 2026, SEO and GEO don't compete: SEO captures people searching on Google and GEO those asking an AI. What works is combining them on one shared content base that is well structured, prioritising according to where your audience is today and how mature your site is.
The right question isn't which one wins, but which buying moment each one covers. SEO and GEO capture the same person in different channels, and in 2026 the B2B strategy that works uses them together.
SEO captures the demand that starts on Google: someone types a query, sees a list of results and clicks. It's still the bulk of B2B research, so walking away from it makes no sense. GEO captures the demand that now starts inside an AI model: the buyer asks ChatGPT, Gemini or Perplexity and gets a written answer that only cites a handful of sources. If you're not one of them, you disappear from that conversation.
That's why "SEO or GEO" is a false dilemma. They share almost every foundation —useful content, clear structure, structured data, speed— and diverge only in the last layer: SEO fights for a position and a click; GEO, to be the source the model chooses. What you decide isn't one or the other, but how much weight you put on each layer based on your starting point. (If you need the detail of what GEO is and how to appear in ChatGPT step by step, we cover it in this guide.)
As a strategy, they share the base and part ways on where you capture, what kind of demand and how you measure. This table sums it up with a decision focus:
| SEO | GEO | |
|---|---|---|
| Where you capture | In Google's list of results (SERP). | Inside the written answer of ChatGPT, Gemini or Perplexity. |
| Type of demand | Active search that wants to compare and click. | Conversational query that wants a direct answer and a short list. |
| Shared base | Useful content, structure, structured data, speed. | The same base; on top it adds extractability and a recognisable entity. |
| Effort | Sustained: content and links over time. | Incremental on top of SEO: structure, robots.txt, external mentions. |
| Time to result | Months to consolidate positions. | Weeks in engines with live search; longer in the model's internal knowledge. |
| How it's measured | Position, clicks and impressions (Search Console). | Whether the model mentions you and which sources it attributes. |
The practical reading: every "shared base" row is work you cash in twice. That's why the efficient move isn't running two projects, but one content asset built to rank and to be cited.
Start from a single body of content that answers your buyer's real questions. The same article that ranks on Google is the one a model can cite; don't duplicate effort across two channels.
Direct answer up front, question-style headings, lists and tables. It helps Google ranking and, at the same time, lets a model isolate and cite your paragraph without ambiguity.
Mark up your site with schema.org (Organization, Article, FAQ) and link your profiles with sameAs. It reinforces search relevance and defines who you are so AI associates you with your category.
Authorise the AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended…) in your robots.txt. This one is GEO-specific: block them and your SEO can be fine yet you still won't be cited.
Links and mentions in trusted sources —trade media, LinkedIn, directories— feed both your SEO domain authority and the sources AI draws from to answer.
Track positions and clicks in Search Console and, in parallel, ask each model about your category and see if it cites you. Without both readings you don't know which layer to improve.
Priority isn't a fixed rule: it depends on your site's maturity and where your buyer researches today. Three common situations:
To be straight with you: combining SEO and GEO guarantees neither a position nor a citation. SEO is compound work that takes months to consolidate, and in GEO the models decide what they cite and refresh their sources at different rates. What you do gain by combining them is no longer depending on a single channel and systematically raising the odds of showing up wherever your buyer researches, whether they start on Google or in an AI. It's a coverage decision, not a promise of results.
In the free diagnosis we review how you rank today, whether the models already cite you and which layer —SEO or GEO— gives you more return based on your starting point.
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