Three acronyms are competing for your attention right now, and they mostly describe the same job. SEO. AEO. GEO. Each one has a vendor, a thread, and a confident person on a podcast telling you it changes everything.
Underneath the labels, the work is more boring and more durable than any of them admit. You are trying to be the answer when a person with a problem you can solve goes looking for a tool. That has always been the job. What changed is where the looking happens, and what a machine has to understand about you before it will name you.
This post pulls the three terms apart, shows where they overlap, and gives you a focus order for a product that does not have traffic yet. The order matters more than the vocabulary.
- SEO optimises for ranked links, AEO for being the answer engines lift directly, and GEO for being cited inside generated responses. They are layers on the same work, not rival strategies.
- The shift underneath the acronyms is from earning a click to earning a citation. Engines increasingly answer the question on the spot, so being referenced matters as much as ranking.
- A pre-traction founder should not pick one acronym. Publish clear, self-contained, citable pages and a defensible review and community presence, which feeds all three at once.
- Measure it by watching whether AI engines name and cite you for your category questions, then check Search Console for impressions and the quality of the queries you surface on.
What AEO, GEO and SEO actually mean
Start with plain definitions, because most of the confusion is people using the same word for different things.
SEO: search engine optimisation
SEO is the original. You make pages a search engine can crawl, understand, and rank, so that when someone types a query into Google or Bing, your page appears in the list of blue links. The mechanism is well understood after two decades of public study. A crawler fetches your pages, an index stores what they are about, and a ranking system orders them for a given query based on relevance, the structure of links pointing at you, and a long list of quality signals.
The unit of SEO is the page, and the reward is a click. You rank, the person clicks, they land on your site. Everything downstream, the trial signup, the docs read, the eventual subscription, depends on that click happening.
AEO: answer engine optimisation
AEO is about being the answer rather than a link to the answer. The framing predates the current AI wave. Google has been answering questions directly inside the results page for years through featured snippets, the panel of facts on the right, and the People Also Ask accordion. AEO is the practice of structuring your content so a system can lift a clean, correct answer out of it and show that answer in place.
The mechanism is extraction. An answer engine wants a self-contained, unambiguous response to a specific question. If your pricing page says, in one place, that your starter plan is a fixed monthly figure with a named set of limits, an engine can extract that. If the same fact is implied across three paragraphs and a comparison table, it cannot. AEO rewards content that states things plainly: a question as a heading, the answer immediately below it, no throat-clearing.
The unit of AEO is the question. The reward is being the displayed answer, which may or may not come with a click.
GEO: generative engine optimisation
GEO is the newest term, and it is the one people most often get wrong. Generative engine optimisation is about how you show up inside the synthesised responses of AI assistants: ChatGPT, Claude, Gemini, Perplexity, and the AI Overviews now sitting at the top of Google results. These systems do not return a list of pages. They read across many sources and write a fresh answer, sometimes naming products and citing sources, sometimes not.
The mechanism here is different in kind, not just degree. A generative engine is not ranking your page against a query. It is deciding whether to mention your product at all while it composes a paragraph, and it makes that decision based on what it can find about you across the whole web, not just on your own site. If the model has read your homepage, a few Reddit threads where people compare you to alternatives, a directory listing, and a comparison article, it can describe you with confidence. If the only thing it has ever seen is your marketing copy, it has nothing to triangulate against, and it will reach for a competitor it understands better.
The unit of GEO is the entity: your product as a thing the model knows about. The reward is being named, and named accurately, when someone asks the assistant what to use.
Deeper on the generative side: a founder's guide to generative engine optimisation →Where they overlap, and where they genuinely differ
It is tempting to treat these as three separate disciplines that need three separate strategies. They are not. They sit on a spectrum, and a lot of the underlying work is shared.
The shared foundation
All three reward the same primitives. Your pages need to be crawlable, because every one of these systems reads the open web to learn what exists. Your claims need to be clear and consistent, because both an extractor and a generator struggle with a product that describes itself differently on every page. Your product needs to be discussed in places other than your own domain, because corroboration is what turns a marketing claim into a fact a machine will repeat.
A founder who writes one clear page answering a real question, gets it indexed, and gets the product mentioned in a couple of relevant community threads has just done work that helps SEO, AEO, and GEO at once. The foundation does not split into three. The reporting does.
Where they diverge
The differences show up at the edges, and they are worth naming precisely.
- SEO is page-and-click. Success is measurable in Search Console: impressions, position, clicks. The feedback loop is fast and the data is yours.
- AEO is question-and-display. Success is being the snippet or the directly answered question. You can sometimes see it in Search Console as a position-one result with a low click-through rate, because the answer was shown without the person needing to click.
- GEO is entity-and-mention. Success is being named in a synthesised answer, and there is no console for it. The only way to know is to ask the assistants the questions your customers ask and read what comes back.
That last point is the practical headache. SEO gives you a dashboard. GEO gives you a black box you have to probe by hand. The work that earns the GEO mention is largely the same work that earns the SEO rank, but the measurement is harder, so it gets neglected. Neglect is not a strategy when an AI assistant is increasingly the first place a person asks what software to use.
The strategic shift underneath the acronyms
Step back from the labels and there is one real shift to absorb. For most of the history of the web, the search engine's job was to hand you off. It found the relevant page and sent you there. The click was the product.
Answer engines and generative engines change the contract. They increasingly resolve the question in place. The person asks, the system answers, and the answer is good enough that no click follows. You can watch this happen in your own analytics over time: pages that hold their ranking while their click-through rate drifts down. The content is still being read. It is being read by a machine that summarises it for someone who never arrives at your site.
This is not a reason to abandon SEO. The page is still where the machine learns. It is a reason to stop measuring your discoverability purely by the click, and to start caring whether you are the thing being summarised. If an assistant is going to answer the question anyway, the only outcome that matters is whether your product is in the answer.
Related: the new playbook for organic growth in the AI search era →Where a pre-traction founder should focus
Here is the part that matters for someone with no traffic, no budget for an agency, and limited hours. You do not need to run three programmes. You need a focus order. The acronyms describe outcomes. The order describes the work that produces all three.
First, be legible
Before any of this pays off, a machine has to be able to read you and state plainly what you do, who you are for, and what you cost. This is the cheapest and most neglected work. Founders write homepages full of mood and metaphor, then wonder why an assistant describes them vaguely or not at all.
Write the boring sentences. State the category your product sits in, using the words your customers use, not your invented internal name for it. State who it is for. State what it does in one line a stranger could repeat. Put your pricing on a page in plain figures. This single pass helps the ranking system understand your relevance, gives the answer engine clean facts to extract, and gives the generative engine an entity it can describe. One step, three payoffs.
Second, answer the real questions
Find the actual questions your customers ask before they decide. Not your keyword fantasies, the real ones: how does this compare to the obvious alternative, does it integrate with the tool they already use, is it for a team their size, how is it different from the incumbent everyone defaults to. You can harvest these from your own support inbox, from the threads where people in your category ask for recommendations, and from the autocomplete and People Also Ask boxes around your core terms.
Then answer each one on its own page, with the question as a heading and the answer immediately below it, stated cleanly. This is the work that earns featured snippets and that gives a generative engine a quotable, corroborable claim. A comparison page that honestly explains where you fit relative to the default choice is worth more than a dozen thin posts, because it answers the exact question a person asks the assistant at the point of decision.
Third, get corroborated off your own domain
Your own site can only say so much before a machine treats it as marketing. The thing that turns a claim into a fact a model will repeat is seeing it echoed somewhere you do not control. A directory listing in your category. A review on a site people trust. A genuine answer in a community thread where someone asked for exactly what you make. A comparison article that names you alongside the alternatives.
This is slow and it does not scale with money, which is exactly why it is defensible. You earn it by being genuinely useful in the places your customers already gather, not by spamming them. A handful of accurate mentions across surfaces a model already reads will do more for your GEO standing than another month of blog posts on your own domain.
What to deprioritise
Skip the technical SEO rabbit holes that matter at scale but not at zero traffic. You do not need to obsess over crawl budget, internal link sculpting, or the latest schema markup debate when you have eleven pages and no one linking to you. Get the foundation legible, answer real questions, earn a few honest mentions. The advanced work is a refinement of a position you do not hold yet.
How to tell if it is working
Measurement splits across the three, and you need a different instrument for each.
For SEO, Search Console is your ground truth. Watch impressions and average position climb on the queries you wrote pages for. That is the system telling you it understands and ranks you.
For AEO, watch for the specific pattern of a high ranking with a falling click-through rate on informational queries. That is often the answer being shown in place. It is a sign you are the answer, even if it costs you the click. Whether you fight that or lean into it depends on whether your goal for that query is a visit or a reputation.
For GEO, there is no dashboard, so build the habit by hand. Once a week, ask the assistants the questions your customers ask. What is the best tool for this job. How does your product compare to the obvious alternative. What are the options in your category. Read what comes back. Are you named. Is the description accurate. Are your competitors described more confidently than you. The gap between how a model talks about you and how it talks about the category leader is your GEO to-do list, written in plain language.
Related: why competitors win the AI answer, and how to close the gap →The short version
SEO gets you ranked. AEO gets you shown as the answer. GEO gets you named inside the answer an AI assistant writes. They are three views of one underlying job: being the thing a machine confidently recommends when a person goes looking for what you make.
For a pre-traction founder, the order is fixed. Be legible first. Answer real questions second. Earn off-site corroboration third. That sequence pays into all three outcomes at once, and it compounds, which is the only kind of growth a solo founder can actually afford.
If you want a read on where you currently stand across these surfaces before you start, the free Growth Snapshot scores your discoverability across seven dimensions, from traditional search to whether AI assistants can find and describe you at all. AfterLaunch then monitors those surfaces and drafts the work in your voice, so the boring, compounding steps actually get done rather than sitting on a someday list. Either way, the focus order above holds. Start with legibility. The acronyms sort themselves out from there.
Are AEO, GEO and SEO three separate strategies I need to resource separately?
No. They are overlapping layers on the same underlying work. SEO targets ranked links, answer engine optimisation targets being the lifted answer, and generative engine optimisation targets being cited inside AI responses. Clear, specific, well-structured pages and a credible third-party presence feed all three, so for most founders the practical answer is to do the work once and let it serve every surface.
If I have limited time, which one should a pre-traction founder start with?
Start with the work that compounds across all three: publish self-contained pages that make specific, bounded claims, and build a real presence where your category is discussed, such as reviews and relevant communities. This is the shared foundation. Chasing one acronym in isolation tends to produce content that reads as optimised rather than useful, which helps none of the layers.
Is SEO dead now that AI engines answer questions directly?
No, but its role is shifting. Traditional search still drives discovery, and the same crawlable, structured pages that rank are also what AI engines retrieve and cite. The change is that ranking a link is no longer the whole goal. Being the referenced source matters too, because engines increasingly resolve the question on the page rather than sending the click onward.
How do I tell whether any of this is actually working?
Watch two things. First, ask the AI engines the questions your category cares about and see whether you are named or cited. Second, check Search Console for whether impressions are holding and whether you are surfacing on queries that match real intent rather than noise. Movement in both is the honest signal. A single vanity metric is not.