The clean definition

AEO — Answer Engine Optimization — targets featured-answer surfaces. Google AI Overviews, voice, featured snippets. The work is structural — schema, direct answers, extractable blocks — and the test surface is a search results page returning a single boxed answer.

GEO — Generative Engine Optimization — targets generative platforms. ChatGPT, Perplexity, Claude, Gemini. The work is broader: same structural foundation as AEO, plus prompt-pattern coverage (which conversational variants does your ICP actually type?), entity authority, and presence in training-data-adjacent corpora.

SEO — Search Engine Optimization — targets the classical ten blue links. Ranking, traffic, click-through. Still relevant: roughly half of B2B research in 2026 still touches a Google SERP at some point in the funnel, even if the buyer started in ChatGPT.

Why splitting AEO and GEO is wrong

Most agencies in 2026 sell AEO and GEO as two retainers. That is a commercial decision, not a methodological one. The structural rules — Hero ≤3 sentences, X-is-Y intro, Quick Facts table, H2-as-question, FAQ direct answer ≤30 words — work for both surfaces because both extractors prefer compact self-contained blocks.

The 20% that differs:

  • AEO leans on schema validation — a clean FAQPage schema is the single biggest lever for AI Overview placement.
  • GEO leans on entity authority — Wikidata Q-number, schema.org Person with verifiable sameAs, presence on AI-trusted publications.

Run them together and you get both for the same content production cost. Run them separately and you pay twice for one structural rewrite.

Where SEO still wins

SEO is not dead in 2026 and we never tell clients otherwise. Roughly 50% of B2B research still loops through Google at some point — the ten blue links pull in cohort that has already shortlisted from ChatGPT and is now evaluating against published case studies, pricing pages, and live testimonials.

The mistake is treating SEO and AEO as a budget split. They are the same content layer scored against two different evaluators. Hire one team, bake the playbook into the TZ, and let the work compound across both surfaces.

What an integrated programme looks like

The Scale package is what we sell to clients who want both. Same content team, same TZ, same schema deployment — measured weekly against AEO citation rate, GEO share-of-voice, and SEO ranking on the priority cluster.

The AP Education case is the cleanest public example: ×7.8 organic clicks (SEO) and 56.5% ChatGPT visibility (GEO) on the same content programme over six months. One engagement, two fronts.

What you should actually do

If you are starting cold: Starter audit is the right entry point. You get a baseline across all three disciplines and a punch-list of fixes ranked by citation potential per hour of effort. From there you choose Growth (AEO foundation) or Scale (full integrated) based on category economics.

If you have an SEO team but no AEO discipline: Growth is the right next step. Six months, three priority pages restructured per month, schema deployed, named experts. You will see your first AI Overview citations in months two and three.

If you already have an AEO retainer and a separate “GEO consultant”: consolidate them. You are paying twice for one structural rewrite.