AEO vs GEO vs SEO: where founders should focus

SEO, AEO and GEO describe overlapping work on how information appears in search and generated answers. The terms are useful when they clarify what you are measuring; they are less useful as three separate content plans.

For a small software company, the starting questions are practical. Can customers find the product? Can they understand it? Do the pages and answers they encounter describe it accurately?

The definitions below distinguish the outcomes, then set out a way to prioritise the shared work when time is limited.

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.

A generated response can combine several sources and information already learned by a model. Check the actual answer for product mentions, factual accuracy and source links. These are observable outcomes; a presumed confidence score inside the model is not.

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.

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

Clear product information, accessible pages and useful explanations support the reader whichever route brought them there. Accurate independent reviews and comparisons can add information your own website cannot supply.

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.

• Search results: use Search Console to inspect impressions, queries, positions and clicks.
• Answer features: inspect the result shown for a question and record the displayed source.
• Generated responses: save the assistant, settings, question and answer; distinguish a product mention from a source link.

For generated answers, keep a record of prompts and responses alongside search reports. That gives you material to inspect when a product description changes or a competitor repeatedly appears on an important question.

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.

An answer on the results page may satisfy a question without a click. If click-through rates change, inspect the affected queries and results before attributing the movement to AI. Changes in demand or other search features can also matter.

Continue to measure search traffic and conversions. Answer checks add another view of discovery, including mentions that do not result in a click, but a mention by itself does not establish a business outcome.

Tap to zoom

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.

State what the product does, who it serves and what it costs. Use language a prospective customer recognises, and give enough detail to distinguish the product from an alternative.

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.

Choose the format that fits the question. A comparison may need its own page; a small setup question may belong in existing documentation. Avoid creating thin pages merely to give every wording a separate URL.

Third, get corroborated off your own domain

Independent reviews, comparisons and discussions help customers assess claims made on your own site. Look for relevant sources that are accurate and useful, without assuming that a specific number of mentions guarantees inclusion in an answer.

Contribute where you have useful experience to share. When asking for a review, ask for the customer’s actual account and disclose any incentive. An accurate limitation can be more useful to a reader than generic praise.

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 answer features in search, inspect the results directly. A high position with a falling click-through rate can have several causes; that pattern alone does not prove that your content was displayed as an answer.

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.

The short version

Use these terms to label the result you are measuring, then select the work from the evidence. Search rankings, answer features and generated responses each need their own record.

For an early-stage product, review the main product information and recurring customer questions first. Those pages give people a basis for deciding whether to try the product. Use research into off-site sources to decide what to do next.

The free scan offers an initial view of discoverability. AfterLaunch continues the monitoring and prepares growth work with its evidence and a draft. You can use the same distinction between search and answer measurements in a manual review.