AEO vs GEO vs Local AEO: The Plain-English Guide to Which Optimization Strategy Your Site Actually Needs

The 60-second summary

AEO, GEO, and Local AEO are not competing strategies. They are three different jobs you do for three different kinds of sites, and most marketers — including the people selling these services — use the terms interchangeably. They shouldn't. Here is the clean version:

• AEO (Answer Engine Optimization) is the outcome: getting cited by answer engines like ChatGPT, Perplexity, and Google AI Overviews. Best fit: personal authority sites and expert brands.
• GEO (Generative Engine Optimization) is the content method: structuring writing so generative models can lift it cleanly. Best fit: any content-driven site — blogs, docs, research.
• Local AEO is AEO + Local SEO signals. Best fit: local service businesses (real estate brokerages, lawyers, contractors, restaurants).

If you only remember one thing: pick your foundation based on what your site is (a person, a business, or a body of content), then layer the other two on top.

AEO, GEO, and Local AEO defined

Three definitions, written the way I'd explain them to a client who has never heard the terms before.

AEO — Answer Engine Optimization

Optimizing your site, schema, and content so that answer engines (ChatGPT, Perplexity, Claude, Google AI Overviews) cite you when someone asks a question. The focus is on becoming the answer. AEO cares about identity, expertise, structured data, and citations — the things that let a model trust you enough to put your name in the response.

GEO — Generative Engine Optimization

Coined in a 2023 academic paper out of Princeton, Georgia Tech, and the Allen Institute for AI, GEO is a content discipline. It's the practice of writing and structuring content — clear headings, definitions, comparison tables, FAQs, original data, citations — so that a generative model can extract and reproduce it cleanly. GEO is the how behind a lot of what gets you AEO results.

Local AEO

AEO + Local SEO signals. It's what gets a business recommended when someone asks ChatGPT or Perplexity "who is the best [service] in [city]." Local AEO layers LocalBusiness schema, Google Business Profile completeness, NAP consistency across citations (Yelp, Apple Maps, Bing Places, industry directories), and structured reviews on top of standard AEO foundations.

How they overlap (and where they don't)

Here is the mental model. Think of three overlapping circles:

• AEO ∩ GEO — Most of GEO's tactics (structured content, citations, FAQs, definitional answers) are also AEO tactics. This is why people use the terms interchangeably. The honest distinction: AEO is the goal; GEO is one methodology for getting there.
• AEO ∩ Local AEO — Local AEO inherits everything from AEO (Person/Organization schema, FAQs, structured answers) and adds location-specific schema and Google Business Profile signals.
• GEO ∩ Local AEO — Smaller overlap. GEO tactics help local-business blog content, but they don't help your business get recommended in "near me" queries — that's a structured-data and citation-graph job.
• Outside any circle — Traditional SEO (indexing, crawling, page speed, the link graph) sits underneath all three. Without it, none of these strategies have anything to optimize.

Which strategy fits which type of site

The single most useful framing: your site type determines your foundation. Stack the others on top once the foundation is solid.

• Personal authority site (e.g. selinaeizik.com, an expert's personal brand) → Foundation: AEO. Core schema: Person + Organization + Article. See Person schema and authority sites for the full playbook.
• Local business site (a real estate agent's brokerage page, a law firm, a contractor, a restaurant) → Foundation: Local AEO. Core schema: LocalBusiness (or a subtype like RealEstateAgent) + PostalAddress + GeoCoordinates + AggregateRating + Review + OpeningHoursSpecification + areaServed.
• Topical content site (a blog, research publication, documentation) → Foundation: GEO. Core tactics: structured posts, comparison tables, FAQs, original data, definitional content, internal entity graph.
• Comparison or review site ("X vs Y," "best of") → Foundation: GEO, with AEO layered on top. LLMs lift comparison tables and "best of" lists almost verbatim — the structure is the leverage.
• E-commerce site → Foundation: traditional SEO + product schema + a content layer with GEO. LLMs rarely cite product pages directly; they cite content about the products.

The AEO playbook (personal authority sites)

If your site is built around a named person — an agent, an expert, a founder, a consultant — your foundation is AEO. The seven moves that matter most:

1. One canonical Person schema block with a stable @id (e.g. https://yoursite.com/#person), reused as the author of every Article.
2. A populated sameAs array pointing to LinkedIn, your company, conference profiles, Substack — and have each of those link back to you.
3. Specific knowsAbout entries that match the exact phrases buyers type into AI tools.
4. A real long-form About page with credentials, companies, dates, and a real headshot hosted on your domain.
5. FAQ blocks on every key page, with FAQPage schema. LLMs quote these almost verbatim.
6. Original writing under your name — pillar posts, playbooks, comparison guides — all attributed to your Person @id.
7. Prerendered HTML. AI crawlers don't run JavaScript. If your site is a SPA, every route must serve static HTML or your schema is invisible.

The GEO playbook (any content site)

GEO is a writing and structuring discipline. It applies to every piece of content on every site type. The techniques the original GEO research found to most reliably increase generative-model citations:

1. Lead with the answer. Put the direct, complete answer to the page's primary question in the first 1–2 paragraphs. LLMs often lift these paragraphs verbatim.
2. Use clear heading hierarchy. One H1, then H2s for main sections, H3s for subsections. Models use headings to chunk content for retrieval.
3. Add comparison tables. Tables are extremely high-leverage — LLMs reproduce them with very little paraphrasing.
4. Cite primary sources inline. Original studies, government data, manufacturer docs. Models prefer content that itself cites authority.
5. Include statistics and numbers. Specific quantitative claims get cited more often than general ones.
6. Write definitional content. "X is a [type] that [does what] for [who]." This pattern is exactly what LLMs return for "what is X" queries.
7. Add a substantive FAQ section — direct, complete answers, not teasers. Wrap with FAQPage schema.
8. Original research wins forever. One well-structured original study can earn citations for years. See our 2026 Real Estate AI Visibility Report as an example.

The Local AEO playbook (local businesses)

For a real estate agent's actual business site, a law firm, a contractor, or any business that serves a defined geography, this is the foundation. AEO and GEO sit on top once these are done.

1. LocalBusiness schema (or a more specific subtype like RealEstateAgent, LegalService, HomeAndConstructionBusiness, Restaurant) with a stable @id.
2. Full PostalAddress and GeoCoordinates — exact address and lat/lng.
3. areaServed — list every city, neighborhood, or zip code you actually serve. This is what gets you into "near me" answers.
4. OpeningHoursSpecification and contact info in schema, not just on the page.
5. Structured reviews — embed real customer reviews on your site with Review and AggregateRating schema. See How to get reviews AI actually reads.
6. Fully-completed Google Business Profile (every field, every category, every photo, recent posts). This is the single highest-leverage signal for local AI recommendations.
7. NAP consistency — your business Name, Address, and Phone must match exactly across your site, Google Business Profile, Yelp, Apple Maps, Bing Places, industry directories (Zillow, Realtor.com, Avvo, etc.). LLMs and search engines both use citation consistency as a trust signal.
8. Service-area landing pages with location- specific content (not just templated copy with the city name swapped). One real page per priority area, with local data, neighborhood detail, and FAQs.

How to stack all three

The best sites don't pick one. They stack the disciplines in the right order:

1. Foundation — the strategy that matches your site type (AEO for personal sites, Local AEO for local businesses, GEO for content sites).
2. Schema layer — the structured data that makes your foundation machine-readable. Personal site: Person + Organization. Local business: LocalBusiness + Person (for the named owner). Content site: Article + FAQ + Organization.
3. Content layer (GEO) — every piece of content on every page written and structured to be lifted and cited.
4. Distribution layer — internal linking that forms a topical cluster, external citations from real authority sites, and a populated sameAs graph that connects your entity to every legitimate profile of you or your business.
5. Technical layer — prerendered HTML, fast load times, valid sitemap and RSS, robots.txt that allows GPTBot, PerplexityBot, ClaudeBot, and Google-Extended.

For a real estate agent who wants the full stack: a personal authority site (AEO foundation, Person schema) and a local business site for the brokerage practice (Local AEO foundation, RealEstateAgent schema), with GEO-optimized content on both. The two sites cross-link, share entity definitions, and reinforce each other in the AI engines' graph.

The 30-second decision tree

1. Is this site about a person? → Foundation: AEO. Start with Person schema and authority sites.
2. Is this site about a local business? → Foundation: Local AEO. Start with LocalBusiness schema + Google Business Profile + NAP consistency, then layer AEO and GEO on top.
3. Is this site about a topic, product category, or body of research? → Foundation: GEO. Structure every post for lift-and-cite, then add an authority-site layer (named author with Person schema) on top so citations route back to a real expert.
4. Are you all three at once? (e.g. an agent who is also a local business and a content publisher.) Build two sites — a personal authority site and a local business site — and cross-link them via shared sameAs entries. Don't try to make one site serve both jobs; the entity boundaries get muddled.

If you take only one action this week: identify which of the three your site actually is, and start with that foundation. The other two layer on top once the base is right.