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Field notes · AI Search

SEO VS GEO: WHAT CHANGES WHEN YOUR BUYERS ASK AI INSTEAD OF GOOGLE

Ben FildesBy Ben Fildes · 5 July 2026 · 7 min read
The short version
  • SEO is not dead, but it is no longer the whole game, because a growing share of buyers get an answer before they ever see a list of links
  • The buyer journey collapsed: the AI now does the shortlisting a person used to do by scanning results
  • Do not abandon SEO, add GEO alongside it and shift new effort toward answer-first content built to be cited
  • The scoreboard has to change too, from rankings and clicks alone to how often AI names you versus your competitors

Every few years someone declares SEO dead, and every few years they are wrong. I am not going to make that mistake. SEO is not dead. But for the first time in a long time, it is no longer the whole game, and pretending otherwise is going to cost people who should know better. This is an honest look at what actually changed, what to keep doing, and what to add.

Let me start with the thing that is genuinely different, because most of the "AI changes everything" takes skip it and go straight to panic.

What actually changed: the shortlist moved

For twenty years, the buyer did the shortlisting. They searched, they got ten links, and they scanned them, clicked a few, and compared. Your job as a marketer was to be one of those ten links and to be compelling enough to earn the click. That is what SEO optimised for: position on the page, and a title and description good enough to win the click once you were there.

The AI answer collapses that. Now the machine does the shortlisting. Someone asks ChatGPT or reads a Google AI Overview, and instead of ten links they get one synthesised answer that names a few sources. The buyer never scans a page of options, because the option-scanning already happened, inside the model, before they saw anything. Your job is no longer to be one of ten links a human will scan. It is to be one of the handful of sources the machine builds its answer from.

Figure · our data
The buyer journey, before and after AI answers

The steps did not disappear, they collapsed. The machine now does the shortlisting a buyer used to do by scanning ten links.

The old journey
  • Search a keywordtwo or three words into Google
  • Scan ten blue linksthe buyer does the shortlisting
  • Click a few, comparetraffic lands on several sites
  • Decideafter visiting the options
The new journey
  • Ask AI a full questiona specific, messy, real sentence
  • Get one answer, few sourcesthe machine shortlists for them
  • Trust the named sourcesinfluence happens before any click
  • Maybe click, maybe just actthe decision can happen in the answer
The buyer journey, before and after AI answers
OptionDetail
The old journey: Search a keywordtwo or three words into Google
The old journey: Scan ten blue linksthe buyer does the shortlisting
The old journey: Click a few, comparetraffic lands on several sites
The old journey: Decideafter visiting the options
The new journey: Ask AI a full questiona specific, messy, real sentence
The new journey: Get one answer, few sourcesthe machine shortlists for them
The new journey: Trust the named sourcesinfluence happens before any click
The new journey: Maybe click, maybe just actthe decision can happen in the answer
Source: Neon Gorilla AI Search framework. · Updated Jul 2026

That is the whole shift in one idea. Influence moved upstream, from the results page into the answer itself. And it moved earlier, because a buyer can now form an opinion, and sometimes make a decision, without ever landing on your site. That is either terrifying or exciting depending on whether the answer names you.

Why this is not "SEO is dead"

Here is the part the doom-merchants get wrong. Classic search is not going away, for two reasons.

First, a huge share of searches are still transactional or navigational, and those still produce clicks to a site. When someone is ready to buy, or is looking for a specific company, they still click through. GEO does not replace that, and if you torch your SEO to chase AI answers you will lose the buyers who were closest to converting.

Second, the two feed each other. The same qualities that make a page rank well in classic search, clear structure, genuine authority, real usefulness, are largely the same qualities that get it cited in AI answers. The overlap is big. You are not choosing between two opposed disciplines. You are extending one into new territory. Most of your SEO foundation is an asset in the GEO game, not a liability.

So the honest framing is not "SEO versus GEO". It is "SEO, and now GEO as well". The word "versus" in the title is how people search for this, but the real answer is "and".

Picture a recruitment agency to make it concrete. Their classic SEO still matters: someone searching "engineering recruiters Birmingham" is close to hiring and will click through to a site. But a hiring manager now also asks ChatGPT "how do I choose a recruitment partner for a niche engineering role", and the answer that comes back names a few firms and describes how to evaluate them. If that agency is not one of the named firms, they are invisible in exactly the conversation where trust is being formed, no matter how well they rank for the transactional term. They need both: the ranking for the ready-to-buy searcher, and the citation for the earlier, opinion-forming question. Winning one and losing the other leaves money on the table.

What you keep, what you add

Keep your technical foundation. A fast, crawlable, well-structured site helps you rank and helps you get cited. Keep chasing the transactional and branded queries that still drive clicks, because those are your closest-to-buying visitors and no AI answer is going to replace that intent. Keep earning genuine authority, because both games reward it.

Add three things. Add answer-first content, pages that state a clear answer to a real question up top, structured so a machine can lift it cleanly, rather than meandering essays that bury the point. Add a consolidation habit, pulling your scattered facts, proof and product truths into one authoritative source a model can trust, instead of the same information half-stated across a dozen silos. And add mentions where the models read, genuine presence in the reputable places and communities that AI answers draw on.

Figure · our data
How to adapt without torching what works

You do not abandon SEO. You add GEO alongside it and shift where new effort goes.

  1. 1
    Baseline your AI visibility
    find out how often AI names you vs competitors, today
  2. 2
    Keep SEO for queries that still drive clicks
    transactional and branded searches still land on your site
  3. 3
    Point new content at real questions
    answer-first pages built to be cited, not just to rank
  4. 4
    Consolidate your facts into one source
    one authoritative place a machine can trust and lift
  5. 5
    Report on citations, not just rankings
    add share of AI voice to the scoreboard
How to adapt without torching what works
StepDetail
Baseline your AI visibilityfind out how often AI names you vs competitors, today
Keep SEO for queries that still drive clickstransactional and branded searches still land on your site
Point new content at real questionsanswer-first pages built to be cited, not just to rank
Consolidate your facts into one sourceone authoritative place a machine can trust and lift
Report on citations, not just rankingsadd share of AI voice to the scoreboard
Source: Neon Gorilla AI Search operating approach. · Updated Jul 2026

None of that requires burning down what you have. It requires pointing new effort at the new reality while the old machine keeps running.

So how much should you shift?

The question I get next is always the same: what is the split? How much of my effort stays on classic SEO and how much moves to GEO? And the honest answer is that it depends on your buyers, which is unsatisfying, so let me make it useful.

The faster your audience has adopted AI, the more the balance tips toward GEO. If you sell to technical founders, marketers, or anyone who lives in software, a large chunk of them are already asking AI before they ask a person, and you should be moving quickly. If you sell to a slower-moving, less online audience, the shift is coming but you have more runway, and classic SEO is still doing most of the work today.

But notice the trap in that question. It assumes GEO and SEO are separate budgets fighting over the same pot. Mostly they are not. A single well-built, answer-first page on a real question earns classic rankings and gets cited in AI answers, from the same piece of work. So the smarter framing is not "move 30% of the budget to GEO". It is "make everything you produce from now on GEO-ready by default", which costs almost nothing extra once it is a habit, and let that habit gradually re-weight your whole library toward being citable.

Where you do need genuinely new effort is measurement and consolidation. Those are the parts that were not in the old playbook. Watching your AI citations, and pulling your scattered facts into one authoritative source, are net-new work. The content itself is mostly your existing muscle, pointed at the right target.

Over-rotating is a real risk too. I have watched people get so excited about AI answers that they neglect the transactional searches still paying their bills. Do not do that. The buyer typing your competitor's brand name plus "reviews" is closer to a purchase than anyone reading an AI overview, and no GEO strategy is worth losing them. Add the new game without abandoning the one that still converts.

The measurement problem nobody wants to talk about

Here is where it gets uncomfortable, and where I think most agencies are quietly hoping you do not ask. If influence now happens inside an AI answer, before the click, then your entire measurement stack, built around rankings, clicks and sessions, is measuring a shrinking slice of reality.

You can be winning the new game and losing on the old dashboard. Your AI citations could be climbing, your brand could be getting named in more answers, more people could be arriving already convinced, and your rankings-and-traffic report could look flat or even down, because some of those people got what they needed from the answer and never generated a tracked click. If you only measure clicks, you will conclude the thing that is working is not working, and cut it. That is the trap.

So the scoreboard has to change. Rankings and traffic stay on it, but they are joined by a new number: how often AI answers cite you, for the queries that matter in your space, against the competitors who currently own those answers. That share-of-AI-voice number is the leading indicator of the new game. It is newer and less precise than a rankings report, and I would rather have a rough read on the right thing than a precise read on a thing that matters less every quarter.

Where to actually start

If this feels like a lot, start with the one step that turns it from an abstract worry into a concrete plan: find out where you stand. Get a baseline of how often AI answers name you versus your competitors for the questions your buyers ask. You cannot make a sensible call about how much GEO effort is worth until you can see the gap.

That baseline is genuinely the honest first move, which is why we built a free scan for it. See the number, look at who the answers currently name instead of you, and then decide how much of this shift is worth your attention. For most operators I speak to, seeing a rival cited where they are invisible is the moment "SEO versus GEO" stops being a debate and becomes a plan.

Ben Fildes
Ben Fildes

Founder of Neon Gorilla. First Class BA in Marketing and an MSc in Enterprise and Innovation (Distinction) from Keele. Previously co-founded Beast Biltong with Eddie Hall, stocked in 2,000+ stores. Everything here is written from our own campaign logs, not theory.

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