Quick answer
SEO improves a site's discoverability and performance in search engines. AEO organizes information to directly answer a question on answer surfaces. GEO, a term formalized by academic research in 2024, targets a source's visibility in answers produced by generative engines. In practice, AEO and GEO are specialized goals within a broader search strategy; they don't replace SEO.
The useful difference is the measured outcome: position, impression, and click for SEO; a displayed or reused answer for AEO; mention, citation, and share of voice for GEO. All three share the same foundation: useful content, technical access, clear entities, evidence, and reputation. No term justifies llms.txt, an ideal word count, tiny chunks, or a magic schema for Google.
Key takeaways
- The terms describe goals and job functions, not three independent algorithms.
- SEO remains necessary for eligibility in Google AI Overviews and AI Mode.
- AEO is a broad operational term; no single definition is imposed by Google.
- GEO has a precise academic origin, but its 2024 experiments aren't a 2026 ranking recipe.
- Choose the vocabulary based on the deliverable and the KPI, then explain the limitations to the client.
Operational definitions
| Discipline | Central question | Typical deliverables | Main KPI | Framing mistake |
|---|---|---|---|---|
| SEO | Is the content discovered, understood, ranked, and chosen? | Audit, architecture, pages, structured data, links, measurement | Impressions, position, clicks, conversions | Reducing SEO to keywords |
| AEO | Does the page provide a clear, reusable answer to the question? | Definitions, procedures, useful FAQ, tables, local/product answers | Presence on an answer surface, click/action | Presenting AEO as an FAQ schema |
| GEO | Is the brand or URL visible as a source in a generated answer? | Prompt panel, citable evidence, citation log, multi-engine analysis | Mention rate, citation rate, share of voice, downstream outcome | Guaranteeing a citation or inventing a score |
These definitions are deliberately functional. SEO has decades of practice and rich official documentation. AEO is a market term with no single authority. The "Generative Engine Optimization" paper published at KDD 2024 defines GEO as improving content visibility in the answers of a generative engine (DOI).
Where GEO comes from, and how far the evidence goes
Researchers built GEO-Bench from 10,000 queries drawn from nine sources and 25 domains, with a stated split of 80% informational, 10% transactional, and 10% navigational. Their synthetic engine's inputs included GPT-3.5 and Google's top five results. Methods adding statistics, citations, and credible quotations improved certain visibility proxies; the best approaches gained 30 to 40% on a position-adjusted word count and 15 to 30% on a subjective impression score. Keyword stuffing didn't help (arXiv paper).
This experiment matters because it formalizes a goal and a benchmark. It doesn't prove that adding a statistic increases citations by 40% in Google, ChatGPT, or Perplexity in 2026. The models, corpus, metrics, and retrieval differ; the content was LLM-modified. The right lesson is "provide and test attributable evidence," not "inject three citations per paragraph."
The shared foundation, according to Google
Google explains that Search's AI features use the same foundations: indexing, snippet eligibility, useful content, accessible links, and good technical practice. Its guide from 10 July 2026 explicitly dismisses several myths: no llms.txt used by Google, no splitting into tiny chunks, no ideal length, no AI-specific writing style, and no special schema (Google Search Central).
That doesn't mean "change nothing." It means changes must improve the document for the user and its verifiability: a direct answer, a method, a source, an author, experience, navigation, and updates. A team can call this work SEO, AEO, or GEO depending on its goal; the page doesn't get better because of the label.
Decision tree: which term to use?
- Is the main problem crawling, indexing, ranking, or the click? Use SEO.
- Is the problem providing a clean answer on a surface like a snippet, a visible FAQ, or an assistant? Use AEO as a sub-goal, then specify the surface.
- Does the deliverable measure prompts, mentions, citations, or sources in generated answers? Use GEO or AI visibility.
- Does the project touch all three? Call it an organic search strategy and list the workstreams; avoid billing the same audit three times.
- Is no distinct measurement planned? Don't add a marketing acronym. Define the outcome first.
Worked example: a SaaS comparison page
The same document can serve three goals with no three copies:
| Work | SEO | AEO | GEO |
|---|---|---|---|
| Initial answer | Matches the comparative intent | Gives the conditional verdict immediately | Provides an easily attributable claim |
| Table | Helps the user and engines understand the criteria | Answers recurring differences | Offers sourced, citable facts |
| Method | Builds trust and differentiation | Explains how to choose | Makes the test reproducible |
| Technical | Canonical, rendering, links, speed | Visible, structured content | Access for the relevant bots per provider |
| Measurement | Impressions, clicks, conversions | Answer presence and action | Mentions, citations, share of voice, referrals |
The page compares five tool categories from a public set of criteria. It states the plan tested, the date, the unverified features, and "who this choice is bad for." That's information gain. Copying twenty vendors' prices with no date isn't.
When to separate teams and when not to
A large company can have technical, content, digital PR, and AI measurement specialists. Separate responsibilities when skills, access, or risks differ. Keep a single owner for the journey and the canonical page. Otherwise, the GEO team can create pages the SEO team deindexes, or content can promise features the product doesn't have.
For an SMB, a single team can manage all three goals with three columns in the backlog: eligibility, source, outcome. The danger isn't the absence of a "GEO expert" role; it's the absence of a protocol and business experience.
What the data proves and doesn't prove
AgencyAnalytics surveyed 494 agency professionals between February and April 2026, mostly in North America and at small firms. 66% reported rising demand for AEO/AI-search SEO (2026 Marketing Agency Benchmarks). This is a convenience survey sponsored by a software vendor, based on self-reports. It proves perceived commercial demand in that sample, not the causal effectiveness of a GEO offer nor demand in the French market.
In its March 2025 US panel, Pew observed AI summaries on 18% of 68,879 searches, with more appearances on long, sentence-form questions (Pew Research Center). This finding justifies measuring answer surfaces, not renaming the discipline entirely.
Myths to reject
- "SEO is dead." Google continues to use its Search systems and eligibility criteria; generated answers add a surface.
- "GEO is just schema." Markup describes the visible content and offers no citation guarantee (Google's rules).
- "You have to write in 40-word blocks." Google publishes no chunk-length constraint.
- "Backlinks don't matter anymore." Links and reputation remain signals and discovery paths; link schemes remain banned.
- "Being mentioned is as good as being cited." A mention names the entity; a citation attributes a URL.
- "A GEO consultant guarantees answers." Outputs vary and the systems are external. You can guarantee a protocol, not a citation.
Reusable asset: goal-evidence-KPI matrix
For each task, fill in four columns: goal, required evidence, surface, KPI. Example: "fix indexing / logs + Search Console / Google Search / valid URLs" = SEO. "earn a citation on a panel / original study / Perplexity / citation rate" = GEO. Reject any workstream whose KPI doesn't match its goal.
How SEOryon fits in
SEOryon brings together several workstreams: SERP analysis, questions, recommendations, content grounded in Search Console data, mention/citation tracking, and CMS publishing with approval levels. It can therefore support SEO, AEO, and GEO without presenting them as three magic products. The team retains fact validation, proprietary experience, and the measurement decision.
Measurable exercise
Take ten tasks from your roadmap. Assign each a main goal, a deliverable, a KPI, and a limitation. The work succeeds if no task has "visibility" as its KPI, if GEO measurements have a denominator, and if no technical feature is sold twice under different acronyms.
Where to go next
- Go back to the general framework of AI search engine visibility.
- See the concrete application in Google AI Overviews and AI Mode.
- Tie each goal to AI visibility measurement with no magic score.
- For an agency, turn these distinctions into a credible GEO offer.
FAQ
Is GEO the new name for SEO?
No. GEO designates a visibility goal in generated answers. SEO covers a broader system of discovery, ranking, click, and organic performance.
What's the difference between AEO and GEO?
AEO targets the phrasing and presence of an answer; GEO explicitly targets a source's visibility in a generated answer. In real projects, their tasks overlap heavily.
Do you need a separate GEO agency?
Only if it brings distinct skills, tools, and measurements. Ask for its panel, denominators, deliverables, and limitations. A new label with no protocol adds no value.
How do you bill for GEO?
Bill for controllable activities: access audit, prompt research, evidence production, tracking, analysis, and reporting. Don't bill a "citation guarantee."
Which term should you use on a website?
Use the terms your audience searches for, define them in one sentence, and tie them to a decision. Don't create three synonymous pages to capture three acronyms.
References
- KDD 2024: Generative Engine Optimization- arXiv: GEO paper, detailed version- Google: Generative AI optimization guide- Google: AI features and your website- Google: Structured data guidelines- AgencyAnalytics: 2026 Marketing Agency Benchmarks- Pew Research Center: AI summaries and click behavior
Method note
Method: SEOryon operational definitions, distinguished from official terms. Sources verified 16 July 2026, translated and edited 22 July 2026; the market and interfaces can evolve.