Terminology

AEO, GEO, AI Search: A Plain-English Glossary for D2C Marketers

Three acronyms describe the same shift: AEO, GEO, AI Search. The shift itself is one thing - buyers asking AI assistants questions they used to type into Google - and the language is still settling.

This glossary is the definitive reference.

Terminology Quick Reference

TermDefinitionContext
AI CitationsHow often & prominently a brand is cited in AI assistant responsesRevWay's operating metric
Answer Engine Optimization (AEO)Strategies to improve brand visibility in AI responsesMarketing discipline
Generative Engine Optimization (GEO)Synonym for AEO; optimization for generative AI surfacesAcademic/broader term
AI SearchConsumer-facing label for asking AI assistants discovery questionsHow buyers experience it
CitationBrand mention in an AI response (vs. ranking on a results page)The unit of visibility
Buyer IntentA specific question a buyer asks (e.g., "sulfate-free shampoo for color-treated hair")What triggers citations
StorefrontProduct-discovery surfaces that generate citations (ChatGPT, Perplexity, Google AI Overviews)The distribution channels
Missed MatchA buyer query where your product fits but your brand isn't citedOpportunity to address

Deep Dive: Each Term

AI Citations

RevWay's umbrella term for brand visibility in AI assistant responses.

In 2026, the primary way D2C buyers discover products is by asking an AI - "What's a good sulfate-free shampoo for color-treated hair?" - and reading the AI's recommendation. AI Citations measures how often your brand gets that recommendation.

Why it matters: In consolidated categories, the top 3 cited brands capture 60-75% of all buyer attention. If you're not cited, you don't exist to AI-first buyers.

How to measure it: The RevWay 6-metric scorecard. Together, the metrics tell you how discoverable you are and why.

Answer Engine Optimization (AEO)

Strategies to improve your brand's visibility in AI responses.

AEO is the discipline of optimizing for AI citations. The practical work: deploying structured content (FAQ blocks, comparison tables, claim-evidence pairs, schema markup) so AI engines can parse and cite your brand for the buyer intents your products fit.

In Google SEO, you optimize by building backlinks and on-page signals. In AEO, you optimize by producing parseable structured content and continuously tracking which variants earn citations.

Key AEO levers: structured content production (FAQ blocks, comparison tables, claim-evidence pairs, schema markup), continuous citation tracking, and A/B testing of variants to learn what wins for your category. Authority signals like reviews and expert mentions reinforce at the margin but aren't the primary lever.

Why it's not just SEO: Google rewards domain authority and backlinks. AI rewards parseable structured content with explicit attributes. A brand with high Google rank but no FAQ blocks or schema markup will rank well but get few AI citations.

Timeframe: 4-8 weeks for first citation after structured content deployment. 6+ months for category-level leadership through accumulated content depth.

Generative Engine Optimization (GEO)

Academic/broader term for the same practice as AEO.

GEO is the umbrella term. AEO is the specific version for D2C commerce. Sometimes you'll see "generative search optimization" - same thing, different phrasing.

Why two terms exist: AEO came first from the D2C community (specific to answer engines like ChatGPT, Perplexity). GEO came later from academia and broader marketing circles (generic term for all generative AI surfaces).

When you'll hear each: AEO in D2C marketing, commerce-focused contexts. GEO in academic papers, consultant reports, broader marketing contexts.

For practical purposes: Use them interchangeably. They mean the same thing.

AI Search

Consumer-facing label for the behavior of asking AI assistants discovery questions.

"I'm doing an AI search for sulfate-free shampoos" = "I'm asking ChatGPT for a recommendation."

Why the distinction matters: "Search" still implies Google-like behavior (a results page, multiple options). "AI search" implies a conversational response from an assistant, not a ranked list. Different mental model, same behavior.

Citation

A brand mention in an AI response.

Not ranking. Not a position on a results page. A named mention. "I'd recommend [Your Brand] for sulfate-free shampoo" = one citation.

Citation vs. Ranking: Ranking (Google) is position on a results page (#1, #2, #3). Citation (AI) is being named as a recommendation. Different mechanics, different signals.

Why it matters: Citations are more decisive. A buyer reading an AI response sees 2-3 named brands and picks from those. No results page. No browsing. Just: "Pick from these 3." Exclusion is more costly.

Three Mental Models That Help

Model 1: From "Are We Ranked?" to "Are We Cited?"

Old question: "Where do we rank on Google for 'shampoo'?"

New question: "What % of D2C shampoo buyer queries cite us?"

Different answer mechanism, but similar intent.

Model 2: From "Keywords" to "Intents"

Old unit: Keywords ("sulfate-free shampoo", "color-treated hair shampoo")

New unit: Full buyer intents ("sulfate-free shampoo for color-treated hair")

Intents are more specific but also more durable (harder to game, more aligned with actual buyer questions).

Model 3: From "Page 1" to "Citation Set"

Old goal: Get on page 1 of Google (8-10 results visible)

New goal: Get in the AI's citation set (2-3 brands named)

Citation sets are tighter, so competition is fiercer. But a citation is more decisive than a rank.

Frequently Asked Questions

Is AEO the same as SEO?

No. They're related but different. Both aim for visibility. SEO optimizes for search algorithms (backlinks, domain authority). AEO optimizes for AI citations (review density, expert mentions, source diversity). A brand strong in SEO isn't automatically strong in AEO, and vice versa. You need both.

Do I need to choose between SEO and AEO?

No. Many D2C brands still get 30-50% of discovery from Google. But the growth is in AI. Recommend: Maintain SEO, but shift 30-40% of new authority-building effort to AEO (reviews, expert partnerships, comparison content).

If I optimize for ChatGPT, do I automatically get Perplexity and Google AI Overviews?

Mostly. The levers (reviews, expert mentions, review density) help across all surfaces. But each surface has slightly different training data and citation patterns. ChatGPT dominates D2C discovery; optimize there first. Perplexity and Google AI Overviews follow naturally.

Can I buy citations?

No. Synthetic reviews, paid mentions, and fake expert lists get filtered by AI models. The only durable citations come from genuine sources: real reviews, earned media, authentic expert partnerships. Short-term manipulation doesn't stick because AI models are trained on human-curated sources and can detect inauthenticity.

Is AEO a long-term strategy or a short-term tactic?

Both. Short-term: You can move Missed Match Rate 15-20 percentage points in 90 days with concentrated effort. Long-term: Building true category leadership (Category Rank Top 5) takes 12+ months. AEO combines quick wins and sustained authority-building.

The Move

Understand the terminology, but focus on the behavior: Buyers asking AI for recommendations instead of searching Google.

The language will settle. The behavior is already here.

See where your brand stands on AI

Your AI Citations Score - live dashboard in 30 minutes. Where ChatGPT cites you, where competitors win, where the opportunities are hiding.