FA
Quick answer:Do not choose GEO, AEO, or ASO by label. Start with what the user expects the system to do. If they want a direct explanation, AEO is primary. If they want a sourced comparison or recommendation, GEO matters most. If they expect the system to evaluate constraints and advance an action, ASO becomes relevant. All three depend on SEO foundations, and one page can support more than one layer.
Start with the user prompt, not the acronym
A prompt reveals a job. Sometimes that job is finding a page. Sometimes it is getting a clear answer, comparing evidence, or asking an agent to do something. The expected outcome is a more useful classifier than the wording alone.
Prompt-to-framework decision matrix
Use this as a first pass, then check the interface, context, and evidence requirements.
Return a relevant, indexable page.
Give a direct, accurate explanation.
Compare options and cite evidence.
Evaluate constraints and advance the task.
Important boundary: classify by expected outcome, not by sentence form. “Which platform is best?” could produce a simple list, a sourced synthesis, or an agentic workflow depending on the product, the user's context, and the permissions available.
The working definitions
These labels overlap and the industry has not standardized every boundary. I use the following definitions because they connect a user job to an observable outcome:
- SEO, Search Engine Optimization. Make a relevant page discoverable, crawlable, indexable, and competitive in search results.
- AEO, Answer Engine Optimization. Make the direct answer accurate, self-contained, and easy for an answer surface to extract without stripping away necessary context.
- GEO, Generative Engine Optimization. Make evidence retrievable, trustworthy, and citable when a generative system synthesizes an answer from sources.
- ASO, Agentic Search Optimization. Make facts, constraints, and available actions legible to an AI agent that evaluates options or completes part of a task for the user.
AEO predates the current generative-AI wave. GEO was formalized in the 2023 paper “GEO: Generative Engine Optimization”. In that controlled benchmark, selected content interventions improved source visibility by up to 40 percent. That result is not a universal lift guarantee. ASO, when expanded as Agentic Search Optimization, is newer and less settled. The acronym also commonly means App Store Optimization, so define it every time.
Build a prompt portfolio around one buyer decision
Do not treat prompts as longer keywords. Build them around the decisions a buyer needs to make. For a global payroll platform, one portfolio could look like this:
| Buyer job | Example prompt | Primary layer | What a useful response needs |
|---|---|---|---|
| Discover | “global payroll software” | SEO | A relevant page that can be found and understood. |
| Define | “What is global payroll software?” | AEO | A concise definition, scope, and important limitations. |
| Set criteria | “What should I check before choosing a payroll provider for Spain and Germany?” | AEO + GEO | A usable checklist supported by current sources. |
| Compare | “Which providers support Spain and Germany for 200 employees? Compare coverage and cite sources.” | GEO | Entity-level facts, dates, methodology, and citations. |
| Act | “Create a verified shortlist and prepare questions for the three best-fit vendors.” | ASO | Explicit constraints, reliable facts, and a safe next action. |
How to create your own prompt set
- Choose one real decision. “Buy global payroll software” is useful. “Win AI search” is not.
- Add the buyer and market. Role, country, company size, budget, and deadline can change the answer.
- Cover distinct jobs. Include discovery, definition, criteria, comparison, verification, objection, and action prompts.
- State the evidence expectation. Ask for sources, dates, methodology, or official documentation when the decision requires them.
- Freeze a core panel. Keep a stable set for trend measurement and a smaller rotating set for new demand.
A strong prompt portfolio contains different buyer jobs, not twenty paraphrases of the same question. It should also include prompts where your brand is not named. Those reveal whether the system independently retrieves you.
GEO vs AEO vs ASO: the side-by-side comparison
| Dimension | AEO | GEO | ASO |
|---|---|---|---|
| User expects | A direct answer | A synthesis, comparison, or recommendation | An evaluated choice or advanced task |
| Content must provide | Clear answer, context, definitions, limitations | Claims tied to sources, dates, methods, and entities | Machine-readable constraints, availability, pricing, specifications, or access paths where appropriate |
| Primary risk | Accurate passage loses context when extracted | Brand is mentioned without citation, or evidence is too weak to use | Agent cannot verify eligibility, compare constraints, or safely continue |
| Core metric | Valid answer rate | Valid citation rate and citation share | Eligible selection and verified task-completion rate |
| Typical prompt | “What is X?” | “Which option fits X, and what evidence supports it?” | “Compare these constraints and prepare the next step.” |
| Maturity | Established concept | Research-backed term with evolving practice | Emerging and not standardized |
One page can serve more than one layer. A product guide can rank for discovery, answer a definition, and supply sourced comparison evidence. Split pages only when the intent, audience, or evidence burden is genuinely different.
How to measure a prompt-led program
Measurement starts with the same fixed prompt panel you used to plan the content. Run it by platform, market, language, and user context where those variables matter. Record the output, not just the presence of your brand.
Minimum measurement record
Capture these fields for every prompt and platform run.
- AEO: track valid answers, not merely snippets or mentions.
- GEO: separate mention rate, citation rate, citation accuracy, and share of cited sources.
- ASO: define the eligible action first, then measure successful constraint evaluation and safe task completion.
Do not collapse these into one unexplained “AI visibility” score. A brand mention without a supporting citation is not the same as a sourced recommendation, and neither proves that an agent could complete a task.
The shared foundation is still SEO
Google's official guidance says the same foundational SEO practices apply to its AI features. That means crawlability, indexability, helpful content, page experience, clear entities, and reputation still matter. The incremental work changes with the prompt outcome.
AEO adds answer clarity. GEO adds explicit evidence, source quality, dates, methods, and corroboration. ASO adds structured facts and unambiguous constraints that an agent can evaluate. This is one architecture with additional layers, not three disconnected websites.
Which framework should you prioritize?
Audit the prompts that influence your buyer's next decision, then count the expected outcomes:
- Mostly direct explanations: prioritize AEO. Make definitions, steps, limits, and examples easy to extract accurately.
- Mostly sourced comparisons or recommendations: prioritize GEO. Publish evidence that can survive scrutiny outside your page.
- Mostly tasks with constraints: pilot ASO. Expose the facts and safe actions an agent needs to evaluate or proceed.
- Mixed or resource-constrained: strengthen the SEO foundation, then cover the highest-value AEO and GEO prompts first. Observe ASO demand before building heavy integrations.
The goal is not to assign one acronym to the whole company. It is to give each important prompt the answer, evidence, or action path it deserves.
For event teams, the speaker brief for GEO, AEO, and ASO turns this decision model into focused talks, audience fit, and a clear post-session action.
Frequently asked questions
No. AEO is primarily about delivering a direct, accurate answer. GEO is about being retrieved, trusted, and cited when an AI system synthesizes an answer from multiple sources. One page can support both.
Not as three separate programs. Build the SEO foundation once, then prioritize AEO, GEO, or ASO according to your prompt portfolio. ASO matters when users expect an agent to evaluate constraints or advance a task.
GEO shares SEO foundations such as crawlability, quality, relevance, and reputation. Its additional question is whether generative systems retrieve and cite your evidence. Google's guidance says the same foundational SEO practices apply to AI features.
It is an emerging practice for making facts, constraints, pricing, availability, and actions understandable to AI agents that compare options or complete tasks for users. The term and its scope are still unsettled.
It can mean either. App Store Optimization is the established use. Agentic Search Optimization is a newer AI-search use. Define the term on first mention and use the full phrase in titles, reporting, and briefs.
Yes. A crawlable page can target search demand, answer a question directly, and provide cited evidence that a generative system can retrieve. Separate pages only when the user intent or evidence requirement is genuinely different.
Start with one buyer decision and collect prompts for discovery, definition, criteria, comparison, verification, and action. Keep the market, persona, and constraints explicit, then test the same fixed set over time.
The most important layer is the one that matches the user's expected outcome. Use AEO for direct answers, GEO for sourced comparisons and recommendations, and ASO when an agent must evaluate constraints or advance a task.
Need a prompt-led AI search strategy your team can use?
I speak about AI search, GEO, and market intelligence using research-backed frameworks and practical decision tools.
Sources checked in this revision
Google's official AI-search guidance · Original GEO research paper · Google generative AI performance reporting · Semrush AI Visibility Index, June 2026