GEO vs AEO vs SEO: are they actually different?

SEO, AEO, and GEO overlap by about 70%. The remaining 30% is where the playbooks diverge: AEO and GEO require answer-first formatting, llms.txt, AI bot allowlists, and citation tracking that classic SEO doesn't. GEO is a near-synonym for AEO with slightly different emphasis. For B2B SaaS in 2026, the right answer is to run a unified playbook that hits both classic Google rankings and AI engine citations, because most of the work serves both. And skipping either leaves real qualified traffic on the table.

This piece walks through the actual definitions, the overlap, and the AEO-specific playbook you'd add to existing SEO work.

#The definitions

SEO (Search Engine Optimization). The original discipline. Optimize a website to rank in classic search engines (Google, Bing, DuckDuckGo). Success metric: ranking position on the search results page (SERP). Techniques: keyword research, on-page optimization, backlinks, technical SEO, content depth.

AEO (Answer Engine Optimization). The 2024–2026 evolution. Optimize content to be cited by AI answer engines (ChatGPT, Claude, Perplexity, Google AI Overviews, Gemini). Success metric: citation share on a defined prompt set. Techniques: answer-first content formatting, schema.org markup at depth, llms.txt files, AI bot allowlists, topical authority via pillar-and-spoke.

GEO (Generative Engine Optimization). Coined in 2024, popularized through 2025. Functionally a near-synonym for AEO. Some practitioners argue GEO is broader (encompasses any optimization for generative AI surfaces, including AI-augmented social search and conversational interfaces beyond search). Most agencies use GEO and AEO interchangeably in 2026.

For practical purposes: AEO and GEO mean the same thing. SEO is the older discipline that AEO/GEO extends. We'll use AEO throughout this site.

#What overlaps

The 70% of work that serves both SEO and AEO equally:

• Quality content with depth. Both classic Google and AI engines reward comprehensive, expert content. A 3,000-word pillar post that answers a topic thoroughly works for both.
• Internal linking topology. Hub-and-spoke linking structures (pillar pages with linked spokes) help classic Google understand topical authority and help AI engines map your site's topical surface.
• Schema.org markup. Both Google and AI engines parse JSON-LD. Organization, WebSite, Article, FAQPage, BreadcrumbList, HowTo schemas serve both audiences.
• Technical site health. Page speed, mobile-friendliness, semantic HTML, accessible markup. Both engines weight these.
• Freshness signals. Recently updated content holds rankings and citations longer than stale content. Both engines weight dateModified.
• Backlinks from authoritative sources. Classic Google ranking signal. Also a citation signal for AI engines (when an authoritative site links to you, AI engines treat your content as more credible).
• Real expertise (E-E-A-T). Author credentials, real outcomes, dated reviews, named experience. Google formalized this in 2022; AI engines weight it heavily in 2026.
• Internal site search and structured navigation. Both engines parse navigation to understand site topology.

If you've been doing SEO well in 2024–2025, you've already done about 70% of AEO. The remaining 30% is the AEO-specific work below.

#What's AEO-specific

The 30% where AEO requires work that classic SEO doesn't:

#Answer-first content formatting

Classic SEO content can lead with context, anecdotes, or marketing copy. The reader scrolls and finds the answer somewhere on the page.

AEO content has to lead with the literal answer in the first 40–80 words. AI engines extract the opening 1–2 sentences to decide whether a page answers a query. If your opening is context-setting, the engine moves on to a competitor. Every money page on an AEO-optimized site has a literal-prose answer block right at the top.

#llms.txt and llms-full.txt

A 2024 standard that's mature in 2026: a plain-text file at /llms.txt that gives AI engines a structured summary of your site (what's here, what each section is for, where to find canonical content). A companion /llms-full.txt includes the full markdown of your canonical content for easier crawling.

Classic SEO doesn't care about this file. AI engines explicitly look for it. For the deeper guide, see How to write llms.txt for a SaaS site.

#Explicit AI bot allowlist in robots.txt

By default, many sites' robots.txt files don't reference AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, anthropic-ai, CCBot). The implicit policy is “not blocked,” which AI engines treat with caution.

The AEO move: explicitly allow these crawlers in robots.txt. It signals that you welcome citation. A surprising number of B2B SaaS sites haven't done this in 2026.

#FAQPage schema with conversational Q&A

Classic SEO Frequently uses FAQPage schema for SERP feature eligibility (the expandable FAQ snippet). AEO weights FAQPage schema much more heavily because the Q&A pairs map directly to conversational queries AI engines try to answer.

The AEO refinement: make the questions match how real users phrase queries to AI engines (longer, more conversational than typical SEO keyword phrasing). A SEO FAQ might say “Pricing” and answer with bullets; an AEO FAQ asks “How much does it cost to build a SaaS MVP?” and answers in conversational prose.

#Citation tracking

SEO measurement is rank tracking (what position do you hold on Google for query X? AEO measurement is citation tracking) across a defined prompt set, what's your citation share on ChatGPT, Claude, Perplexity, and Google AI Overviews?

The tools and methodology are different. For the deep dive, see How to track LLM citations.

#Pillar-and-spoke at depth

Both SEO and AEO benefit from topical clustering. AEO benefits more, because AI engines explicitly map a domain's topical surface and weight depth. The AEO discipline is to ship 5–15 spoke posts per pillar within 6 months, not 2–3.

#Reddit / Hacker News / community presence

Classic SEO doesn't weight Reddit threads particularly heavily for ranking your own site. AEO weights Reddit very heavily because Reddit is one of the most cited training and retrieval sources for AI engines. A B2B brand authentically discussed on Reddit gets carried into AI citations over 6–12 months.

For the playbook, see Reddit citation strategy for B2B SaaS.

#When SEO and AEO diverge

The cases where the playbooks meaningfully differ:

For most B2B SaaS sites, the right approach is to write content that serves both. A comprehensive comparison post with answer-first formatting, FAQPage schema, conversational Q&A, and authentic Reddit distribution serves SEO and AEO simultaneously. Per the Princeton GEO study, the techniques that lift AI citations most (Statistics, Citations, Quotations) overlap heavily with what already wins in classic SEO; the AEO-specific overhead is real but small relative to the value of the AI citations.

#What B2B SaaS should actually do in 2026

A practical sequenced playbook for a B2B SaaS site that's been doing classic SEO and wants to add AEO:

Week 1: Add the AI bot allowlist to robots.txt. Ship llms.txt and llms-full.txt. Add answer blocks to every money page. Verify FAQPage schema is on every page that has FAQs. Add HowTo schema where applicable (process pages).

Weeks 2–4: Pillar-and-spoke audit. Identify your 3–5 pillars; identify which spokes already exist; build a content roadmap for the missing spokes. Start drafting.

Months 2–3: Ship 8–12 new spoke posts. Establish hub-and-spoke internal linking with helper components or templates. Set up citation tracking (manual or paid tool). Capture baseline.

Months 4–6: Reddit / Hacker News / community engagement, with the 95/5 rule. First measurable AI citations should appear in tracking by end of month 6.

Ongoing: Quarterly refresh of every pillar page (new examples, updated screenshots, new dates). Monthly citation tracking review. New spokes as gaps emerge.

That's the unified SEO + AEO playbook. The work that's net-new vs classic SEO is roughly 30% more effort; the upside (AI search traffic converts at 3–4x classic) typically justifies the additional work within the first year.

#What we ship for clients

For our AEO Retainer engagements in 2026, the default monthly cadence:

• 4 pillar / spoke articles per month with answer-first formatting, FAQPage schema, conversational Q&A
• Schema audit quarterly (every page validated, no warnings)
• llms.txt and llms-full.txt maintained as content ships
• Citation tracking monthly across ChatGPT, Claude, Perplexity, Google AI Overviews
• Reddit / community engagement weekly cadence (varies by client; some prefer in-house, some outsource)
• Monthly report with citation deltas, traffic deltas, content recommendations

That cadence runs on a $3,200/month retainer for productized engagements (3-month minimum); larger scope is a custom retainer.

#Bottom line

GEO and AEO are the same playbook. Both extend SEO rather than replace it. The work that's specific to AEO (answer formatting, llms.txt, AI bot allowlists, citation tracking, conversational FAQ phrasing, Reddit) is real but small relative to total SEO effort. Run a unified playbook; skip the language wars about which acronym to use.