SEO, GEO and AEO: Understanding the New Search Landscape

Three acronyms now compete for the same marketing budget. SEO is sold on rankings, AEO on answers and GEO on a place in AI-generated responses, and each tends to arrive with its own checklist, its own tools and its own pitch.

The labels are useful, up to a point. They describe three outcomes of a search, not three separate channels, and underneath them sits one question: when someone looks for what you offer, does your business appear, and is it described correctly?

Why the vocabulary multiplied

For most of the web’s history, a search ended in a list of links. The job was to rank on that list and earn the click.

Now the same question can end in several places. Ask how to register a trademark and the reply might be a highlighted answer box, a spoken answer from a voice assistant, an AI summary above the links, or a conversational response with no results page at all. Each outcome rewards slightly different things, and the industry has named a discipline after each one.

Systems that reply with an answer rather than a list are often called answer engines. Across Insights, AI search optimisation is our umbrella term for the AEO and GEO work described below, and our introduction to AI search optimisation covers the basics.

SEO: earning the ranking and the click

Search engine optimisation is the established practice of making a website crawlable, understandable and trustworthy, so that its pages rank for relevant searches and earn the visit. It covers technical health (crawling, indexing, site structure, speed), relevance (content that matches what people search for) and authority (the signals that suggest a source deserves trust).

It is also the foundation for the other two. Google states that there are no additional requirements to appear in AI Overviews or AI Mode, and that a page must be indexed and eligible to show in Search with a snippet before it can appear there as a supporting link.

AEO: becoming the answer

Answer engine optimisation grew up around featured snippets and voice assistants, where a search returns one answer rather than ten options. The goal is to be the source that answer is taken from.

AEO is mostly a discipline of clarity. It favours pages that state a direct answer early, in plain language, and then support it with depth. A heating engineer’s page on low boiler pressure that opens with what to do when the gauge drops is easier to lift as an answer than one that opens with company history.

What answer-ready content looks like

Applied to the heating engineer’s page, every section follows the same order: a heading phrased the way customers actually ask, a direct answer in the first sentence or two, then the specifics, such as definitions, steps, conditions, and prices or ranges where you can state them honestly.

Illustrative example

Boiler pressure dropping?In the customer’s wordsQuestion

What to do firstOne or two sentencesAnswer

Supporting detailSteps and honest pricesSpecifics

Next questionThe same order againRepeat

AEO has limits worth knowing. Google says site owners cannot mark up a page to become a featured snippet: its systems decide which page earns that position.

The FAQ rich result, long a staple of AEO checklists, has also gone. Google’s Search Central changelog records that it stopped appearing in Google Search from 7 May 2026. AEO now works through the quality and structure of the writing, not through markup.

GEO: earning a place in the generated response

Generative engine optimisation is the newest of the three. The term comes from a 2023 research paper, GEO: Generative Engine Optimization, later accepted at KDD 2024, which framed it as helping creators improve their visibility in generative engine responses.

At the time of writing in 2026, those engines include Google’s AI Overviews and AI Mode, ChatGPT’s search features and Perplexity. Instead of returning a ranked list, they compose an answer, usually citing some of their sources and often naming a few brands. Four things set GEO apart.

The answer is assembled, not ranked

As our introduction describes, Google’s AI features may run several related searches across subtopics before composing a response. A question such as “which inventory system suits a growing e-commerce brand” can open out into questions about integrations, multi-warehouse stock, pricing and migration.

Illustrative example

Composed answerAssembled after searches across these subtopics

• IntegrationsDoes it work with the platforms we use?
• Multi-warehouse stockCan it track stock held in several locations?
• PricingWhat will it cost now, and as we grow?
• MigrationWhat does moving from our old system take?

A business whose content answers those surrounding questions clearly gives the system more to draw on than one that only targets the headline phrase.

The unit is the brand, not the page

SEO thinks in pages and keywords. GEO thinks in entities: everything publicly known about your business, on your own site and everywhere else.

Reviews, directories, press coverage, partner pages and community discussions all shape how an assistant describes you. We cover how to build that kind of presence in how brands become visible in AI search.

Accuracy becomes a brand issue

A ranked link shows your own page. A generated answer describes you in its own words, and it can get things wrong. If you changed your pricing or stopped offering a service, an assistant may keep repeating the old facts while most sources still state them. Keeping those facts consistent is now part of managing the brand.

Access is decided platform by platform

Each AI platform runs its own crawlers and sets its own rules. OpenAI, for example, documents that sites opted out of its OAI-SearchBot crawler will not be shown in ChatGPT search answers, and treats that crawler separately from the one that gathers training data. Google manages training use through a different control, which it says does not affect inclusion in Search. Search visibility and training use are separate decisions, made one platform at a time; the practical settings are covered in the brand visibility guide linked above.

SEO, AEO and GEO side by side

Set next to each other, the three lenses ask different questions of the same search.

Aspect	SEO	AEO	GEO
Purpose	Rank and earn the click	Be the direct answer	Be included, cited and described accurately
How people discover	Choose a link from a ranked list	Receive one answer, read or spoken, not ten options	Read a composed answer that usually cites sources and often names brands
Optimisation focus	Technical health, relevance, authority	Question-led structure, concise answers, precise facts	Crawler access, consistent facts, distinctive expertise, third-party mentions
Where it shows	Organic search results	Featured snippets, voice replies, answer boxes	AI summaries, AI search modes, chat assistants
Unit of work	Pages and keywords	Questions and passages	The brand and everything said about it
Measured by	Rankings, clicks, organic conversions	Ownership of answers for target questions	Mentions, citations, accuracy, AI referral visits
Maturity	Established and well documented	Established, but shifting	Emerging, with definitions still settling

Where they overlap

Look at what moves results in each column and most of it is shared.

Conceptual model

1. Three outcomesRanked, quoted as the answer, named by AI
2. Fast, easy to useEvery lens eventually sends people to the site
3. Structured dataMatches what is visible on the page
4. Useful contentWritten for a person, with clear authorship and evidence behind claims
5. Content as textImportant content not locked inside images, video or scripts
6. AccessPages must be crawlable and indexable

What each lens checksWhat all three share

Much of the GEO advice in circulation is these fundamentals under a new label. That is no criticism of GEO, but it is a reason to be sceptical of anyone selling it as a fix for weak foundations.

A page that cannot be crawled, understood and trusted will not be rescued by an acronym.

How to plan for all three

Run them as one programme, and use each acronym as a different check on the same work. A practical sequence:

1. Fix access and foundations first. Check robots.txt, indexing and page speed, then the bot settings in your CDN or firewall, which can block crawlers without anyone noticing. Some providers, Cloudflare among them, now apply AI crawler defaults of their own: choose what you allow rather than inheriting a setting.
2. Map the questions buyers ask. List what customers ask before they buy, including the comparison and objection questions your sales team hears every week. These become your headings, pages and answers.
3. Write answer-first, with substance behind it. Lead each section with a direct answer, then add the depth, examples and first-hand detail that make the page worth citing. Generic content is interchangeable; specific content gives a search engine or an assistant a reason to name you.
4. Make your facts consistent everywhere. Audit your website, Google Business Profile, directories and partner listings for outdated details, and correct them at the source.

Measuring without false precision

In Search Console, clicks from Google’s AI features sit within your overall Web search data, so they are already part of your SEO figures, and a separate Generative AI report now shows impressions in AI Overviews and AI Mode. Beyond that, track referral visits from AI platforms in your analytics and keep a monthly log of how assistants answer your most important buyer questions.

AI answers vary with phrasing and change over time. Look for direction across months rather than treating any single response as a position to defend.

Find the lens that needs attention first

Take the ten questions your best customers ask before they buy. Run each one through a traditional search engine and two AI assistants, and note three things: who ranks, who is quoted as the answer and who is named in the generated response. Keep the results as the baseline for that monthly log.

The pattern will show which lens needs attention first, and how much the fixes overlap. At Venuras we run AI search visibility alongside technical SEO and content strategy for that reason: planned together, the work compounds; planned apart, it duplicates.