Search changed more between 2024 and 2026 than in the decade before it. Two new acronyms arrived alongside the familiar one, and most businesses are unsure whether they need to care.
This article explains AEO, GEO and SEO in plain terms: what each one actually means, how they differ, where they overlap, and what a business should genuinely do differently as a result.
AEO, GEO and SEO: What Each One Actually Means
SEO, search engine optimisation, is the familiar one. The goal is a link to your page ranking well on a results page, and the outcome you want is a click.
AEO, answer engine optimisation, targets the answer itself rather than the link. Featured snippets, People Also Ask boxes, voice assistant responses and knowledge panels all answer a question without necessarily sending a click.
GEO, generative engine optimisation, is the newest. It targets AI-generated answers, the kind produced by Google AI Overviews, ChatGPT, Perplexity and similar systems that synthesise a response from many sources.
The important thing to understand is that these are not three separate disciplines competing for your budget. They are three overlapping outcomes produced largely by the same underlying work.
A page that genuinely answers a question clearly, is technically accessible and comes from a source with visible credibility tends to do well in all three. The differences are in emphasis, not in method.
Why This Shift Happened
Search engines have been moving from returning documents to returning answers for a long time. Generative AI accelerated a trend that was already well underway.
Featured snippets appeared in 2014. Voice assistants normalised asking full questions. People Also Ask boxes trained users to expect the answer on the page rather than behind a click.
AI Overviews took the final step and composed an answer from several sources at once, attributing them rather than simply linking them.
For businesses, the consequence is measurable. Informational queries increasingly resolve without a click, which is why publishers reliant on informational traffic have felt this hardest.
Commercial and local queries have been affected much less. Someone deciding who to hire or where to buy still clicks, still compares and still visits. That distinction matters enormously when deciding how worried to be.
What Actually Changes for Your Content
The practical adjustments are smaller than the terminology suggests, and most of them are things good writers were already doing.
Answer the question directly, early. A page that spends four paragraphs on preamble before answering is harder for any system to extract from, and harder for a reader to use.
Structure content around real questions. Headings phrased as the question somebody actually typed perform better across SEO, AEO and GEO simultaneously.
Be specific and verifiable. Generative systems favour content with concrete detail: numbers, processes, named tools, stated constraints. Vague marketing prose gives them nothing to synthesise.
Include first-hand information. Original data, direct experience and details that exist nowhere else are the one thing an AI cannot reconstruct from other sources.
Keep facts consistent everywhere. If your prices, hours or service areas differ between your site, your listings and your profiles, you are asking machines to guess which version is true.
Where the Three Genuinely Differ
Although the underlying work overlaps, the success measures are not the same, and treating them as identical leads to bad reporting.
| SEO | AEO | GEO | |
|---|---|---|---|
| Target | A ranked link | A direct answer | An AI-composed answer |
| Success looks like | Position and clicks | Snippet or panel ownership | Being cited or named |
| Content shape | Comprehensive page | Concise, extractable answer | Specific, verifiable, original |
| Measurement | Search Console, mature | Partial, harder | Immature, mostly manual |
| Best for | Commercial and local intent | Direct questions | Research and comparison |
The measurement row is the honest problem. SEO has fifteen years of tooling. AEO has partial visibility. GEO has almost none, and anybody selling you a precise GEO ranking report is selling you an estimate dressed as data.
What a Local Business Should Actually Do
If you run a business serving a specific area, the practical answer is reassuring: your priorities barely change.
Local and commercial searches remain click-driven. Someone looking for a clinic, an institute or a contractor still needs to choose, contact and visit. AI answers summarise options rather than replacing the decision.
Your Google Business Profile remains the highest-return asset you have, and it now does double duty. It feeds map results and it is a primary source AI systems draw on when describing local options.
Structured data matters more than it used to. Marking up your business, services and prices states facts unambiguously rather than leaving them to be inferred.
Reviews matter for the same reason. They are public, attributed evidence of what you do, which is exactly the kind of signal generative systems lean on.
The one genuine change is content strategy. Pages targeting pure information queries will earn fewer clicks than they used to. Pages targeting decisions still convert.
What Publishers and Informational Sites Should Do
If your traffic depends on answering general questions, the picture is harder and it is worth being straightforward about that.
Content that simply restates commonly available information is the most exposed. If an AI can assemble the same answer from ten other sources, your version adds nothing that justifies a click.
What survives is content that cannot be synthesised. Original research, proprietary data, first-hand testing, direct experience and expert judgement that exists nowhere else.
Depth also helps. Comprehensive resources that go well beyond a summary still earn visits from people who need more than an answer.
Brand matters more than it did. When users see a name repeatedly cited in AI answers, they begin searching for it directly, and branded search is the one channel these changes strengthen rather than weaken.
A Ninety Day Plan for AEO, GEO and SEO Together
If you want a concrete sequence rather than principles, this is a sensible order for a business starting from a normal position.
In the first month, fix the foundations. Complete your Google Business Profile properly, add Organization and LocalBusiness structured data, and make sure your name, address, phone, hours and services agree everywhere they appear.
Also install Search Console if it is not already there. You cannot reason about any of this without seeing which queries you already appear for.
In the second month, rewrite your most important existing pages so each answers its core question in the opening paragraph. Convert vague headings into the questions customers actually ask.
Add the specifics you have been avoiding. Prices, timelines, what is included, what goes wrong. These are the details that get quoted and the ones competitors usually omit.
In the third month, publish two or three pages built entirely on things only you can say. A case from your own work, a comparison you have genuinely run, a mistake you watched happen and what it cost.
Then leave it alone for a quarter. Search moves slowly, generative systems update unevenly, and changing course every three weeks guarantees you learn nothing about what worked.
What This Means for Marketers Learning Today
If you are training for a marketing career now, this shift changes what is worth learning, though less dramatically than the noise suggests.
The mechanical parts of the job are the exposed ones. Producing routine content to a brief, assembling keyword lists and writing summaries of publicly available information are all things machines now do adequately.
What has become more valuable is judgement. Deciding what is worth publishing, recognising when an AI answer is confidently wrong, and knowing which details actually persuade a buyer.
Technical understanding has also gained value. Structured data, clean information architecture and consistent entity information are now doing work they were not doing five years ago.
The practical advice for anyone learning is unchanged in shape. Understand the fundamentals properly, practise on something real, and treat every new acronym as a shift in emphasis rather than a replacement for what came before.
How to Optimise a Page for All Three at Once
In practice you do not write three versions of a page. You write one page well and it satisfies all three outcomes. Here is what that looks like concretely.
Open with a direct answer of two or three sentences. Somebody skimming, a snippet algorithm and a generative model all benefit from the same thing: the answer stated before the elaboration.
Use question-shaped subheadings that match how people actually phrase things. This single habit improves snippet eligibility and makes the page easier to extract from.
Put concrete specifics in the text rather than in an image. Prices, timelines, steps, tool names and constraints are what get quoted. Anything trapped in a graphic is invisible.
Include one or two things only you can say. A number from your own experience, a mistake you actually saw, a local detail. This is the strongest defence against being replaced by a synthesis.
Add structured data appropriate to the page type, and keep it accurate.
Make the page fast and readable on a phone, because none of the above matters if the visitor bounces.
What Not to Waste Money On
A new acronym always produces a wave of services sold at a premium, and this is no exception.
Be sceptical of anyone selling GEO as a separate retainer distinct from your SEO work. The underlying activity is largely the same, and splitting it into two invoices mostly benefits the seller.
Be sceptical of guaranteed AI citation. Nobody controls what a generative system chooses to reference, and the mechanisms are neither public nor stable.
Be sceptical of precise AI visibility dashboards. Some tools give useful directional signals by sampling prompts, but they are estimates, not measurement.
Be equally sceptical of the opposite claim, that SEO is dead. Commercial and local search still drives enormous click volume, and the businesses saying this loudest usually sell an alternative.
The honest position is unexciting. Do good SEO, write pages that answer questions directly, publish things only you can know, keep your facts consistent, and revisit the assumption in a year.
Frequently Asked Questions
Is SEO dead because of AI search?
No. Informational traffic is genuinely affected. Commercial and local search, where people are choosing who to buy from, remains click-driven and healthy.
Do I need separate AEO and GEO strategies?
Not separate strategies. The same work, with more emphasis on answering directly, being specific and publishing original detail, serves all three.
How do I measure whether GEO is working?
Imperfectly. Track branded search volume, direct traffic and referrals from AI tools where visible, and periodically check how assistants describe your business.
Does schema markup help with AI answers?
It helps machines understand your facts unambiguously. Nobody outside these companies can quantify the effect, but it is low cost and aligned with the direction of travel.
Should small businesses worry about this?
Much less than publishers should. Local intent still converts through clicks. Keep your profile, structured data and reviews accurate and you have covered most of it.
What is the single most useful change to make?
Answer the question in the first hundred words of every page. It improves snippets, AI citation and human readability at the same time.
The acronyms are new. The underlying advice is not. Publish pages that genuinely answer real questions, say things only you can say, keep your facts consistent across every source, and you will be visible regardless of which system is doing the answering.
Google own documentation on Google Search Central remains the most reliable source on how its systems treat content.
How AI Systems Choose What to Cite
Nobody outside these companies can describe the selection process precisely, but several patterns are consistent enough to act on.
Clarity of attribution matters. Content that states who wrote it, when, and on what basis is easier for a system to treat as a citable source than anonymous text.
Specificity matters more than length. A short passage containing a concrete figure, a named process or a stated constraint is more quotable than a long passage of general advice.
Consistency across the web matters. When the same facts about a business appear identically on its website, its listings and third-party sources, confidence in those facts rises.
Freshness matters unevenly. For fast-moving subjects it counts heavily. For stable explanatory content it counts very little, which is why older thorough pages still get cited regularly.
What appears not to matter is keyword repetition. Systems that synthesise meaning are not counting phrase occurrences, which makes old-style optimisation tactics irrelevant here.
Practical Checks You Can Run This Week
Rather than theorising, spend an hour finding out how you are currently represented.
Ask two or three AI assistants a question a customer would ask in your category, without naming your business. See which businesses get named and what the answer gets wrong.
Then ask directly about your business by name. Check whether the description, location, services and hours returned are accurate. Inaccuracies here almost always trace back to inconsistent information somewhere public.
Search for your main commercial query in Google and note whether an AI Overview appears, and which sources it draws from. That tells you who currently owns the answer in your category.
Check your own pages for the opening-answer problem. Open your five most important pages and see how far a reader has to scroll before the core question is answered.
Fixing that last one alone usually produces more improvement across AEO, GEO and SEO than any amount of strategy discussion.
Where Traditional SEO Still Wins Outright
Amid the enthusiasm for new acronyms, it is worth stating plainly where classic SEO remains not just relevant but dominant.
Transactional queries are the clearest case. Somebody searching to buy, book or hire needs to land somewhere and complete an action. No summary replaces that, and the click is the entire point.
Local queries are the second. Map results, directions, opening hours and phone numbers are practical tasks. AI can describe your options, but the user still has to pick one and contact it.
Navigational queries are the third. When somebody searches your brand name, they want you, and nothing intermediates that.
Long-tail commercial research also holds up well. Comparisons, buyer guides and pricing explanations attract people who want detail beyond a summary, and those visitors convert unusually well.
For most businesses selling something specific to a defined audience, these four categories cover the overwhelming majority of commercially valuable search. That is why the sensible response to AEO and GEO is adjustment rather than alarm.
The businesses genuinely disrupted are those whose traffic came from answering general questions that anyone could answer. If that describes your content, the strategic problem is real, and the solution is originality rather than optimisation.
A Short Glossary
Featured snippet: a boxed answer extracted from one page and shown above the normal results.
AI Overview: a generated summary composed from several sources, shown at the top of some Google results.
Entity: a distinct thing a search engine recognises, such as a specific business, person or product, rather than just a string of text.
Structured data: machine-readable labels added to a page so its facts are unambiguous.
Zero-click search: a search resolved on the results page without the user visiting any website.
Branded search: a search containing your business name, which is the one category that tends to grow as AI visibility increases.