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Definition

What is answer engine optimization (AEO)?

Answer engine optimization (AEO) is the practice of structuring content and brand signals so AI systems like ChatGPT, Perplexity, Gemini and Claude cite a brand as a trusted source when answering buyer questions. Where SEO optimises a page to rank in a list of links, AEO optimises a page to be included inside the synthesised answer itself. At Kodiac, AEO is where the journey starts: understanding how AI describes your organisation before you improve the information it relies on.

AI readiness scored by dimension and content type / Kodiac Content
ContentAI readiness scored by dimension and content type.
The short definition

AEO in one sentence.

Answer engine optimization is the discipline of being the source an AI system extracts and cites when generating answers for users.

AEO in one paragraph.

When a buyer asks ChatGPT, Perplexity, or Google AI Overviews a question, the AI generates a synthesised answer drawn from the sources it considers most trustworthy and relevant. AEO is the engineering and editorial discipline of becoming one of those sources. It involves three things: structuring your content so it can be parsed and extracted as a direct answer; building entity authority so AI recognises your brand as a trustworthy source for your category; and earning presence in the third-party sources AI systems rely on heavily, including Reddit, Wikipedia, G2, and trade press.

AEO vs SEO vs GEO

How AEO differs from SEO and GEO.

AEO, GEO, and SEO are siblings in the same broader family but optimise for different surfaces and outcomes. Most teams need all three through the rest of the decade.

Discipline Surface Optimises for Measured by
SEO Search engine results pages (Google, Bing) Ranking in a list of blue links Position, organic clicks, traffic
GEO All generative AI surfaces (broad) Citation, recommendation, mention in generated answers Citation rate, share of voice, mention rate
AEO Answer engines (narrow subset of GEO) Being selected as the cited source for a specific factual answer Selection rate, accuracy of brand description, trust signals
Source Intelligence Third-party sources AI cites Presence and accuracy on Reddit, Wikipedia, G2, news Per-source AI weight, sentiment, measured score uplift

In practice the terms AEO and GEO are often used interchangeably. The distinction is real but narrow: AEO is the answer-extraction layer of the broader GEO discipline.

Why it matters

Why AEO is not optional in 2026.

Three measurable shifts make AEO a baseline brand discipline rather than an experimental tactic.

80–90%
of B2B buyers trust AI product recommendations over traditional advertising
Gartner, 2025
14.2%
AI search converts at 14.2% versus 2.8% for traditional organic search
University of Toronto, 2025
25%
predicted drop in traditional search volume due to AI assistants by end of 2026
Gartner

The implication

Organisations without an AEO strategy are losing pipeline they cannot see, attribute, or defend. The buyer journey now starts in AI, and the brand AI names is the brand that gets shortlisted. But low visibility is only the symptom. The underlying problem is that organisations have lost control over how AI understands them, and that is an infrastructure problem, not a content problem.

How to start

A practical AEO starting checklist.

There is no single AEO trick. The discipline is the systematic application of the following practices, scored and tracked over time.

1. Audit your current AI visibility

Run a three-layer audit across all six major AI systems. Get a baseline visibility score before changing anything. Without a baseline you cannot measure improvement.

2. Make every AI crawler welcome

Verify your robots.txt and meta robots tags allow GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and the other major AI retrieval bots. Accidental blocking is the single most common cause of zero AEO presence.

3. Add structured data

Implement schema.org markup for Organization, Product, FAQPage, HowTo, and BreadcrumbList. Structure is not there because AI cannot read prose, it is how you keep control: explicit meaning, consistent claims, and facts AI can retrieve and cite reliably.

4. Write answer-shaped content

Lead with the answer in the first 1–2 sentences. Use clear question-shaped headings. Make every key fact independently extractable. Build FAQ pages that map to the queries buyers actually ask.

5. Improve third-party sources

University of Toronto research found AI search engines cite third-party sources up to 92% of the time when describing brands. Improve your Wikipedia entry, address inaccurate Reddit threads, refresh G2 reviews, earn trade press mentions. Source Intelligence is the highest-leverage AEO work.

6. Measure across all six engines

Track citation rate, share of voice, sentiment, and accuracy across ChatGPT, Perplexity, Gemini, Claude, Grok and Meta AI. Single-engine tracking is no longer sufficient because AI search has fragmented permanently.

FAQ

AEO frequently asked questions.

How long does AEO take to show results?

Brands with strong existing SEO foundations often see citation movement within 4–6 weeks of structural fixes. Sustained share-of-voice change typically takes 3–6 months because AI training data and retrieval indexes update on different cadences. Source Intelligence interventions (Wikipedia, G2) tend to surface fastest.

Does AEO replace SEO?

No. AEO complements SEO. Traditional search still drives a large share of buyer journeys, and good SEO foundations make AEO easier - structured data, semantic clarity, and authority signals reward both. The right stance is to do both, with AEO as the newer discipline that requires deliberate attention.

Which AI systems matter most for AEO?

Modern AEO targets four major systems: ChatGPT (~64% of generative AI traffic), Google Gemini including AI Overviews (~22%, growing fast), Perplexity (citation-heavy, used by enterprise buyers) and Anthropic Claude (research and B2B contexts). Coverage of all four is now baseline.

What does AEO measurement look like?

The core metrics are citation rate (how often AI mentions your brand), share of voice (your citations versus competitors), sentiment (how AI describes you), accuracy (how often AI gets your facts right), and trend over time. Kodiac aggregates these into a single AI Visibility Score (0–100) tracked on every scan.

Can I do AEO without specialist tools?

For a single brand at small scale, manual checks are possible but expensive in human time. At any meaningful scale - multiple products, multiple competitors, multiple AI systems, weekly cadence - specialist tooling is required. The market for AEO platforms went from emerging to crowded in 12 months precisely because the manual approach does not scale.

Is AEO different for B2B and B2C?

The mechanics are similar but the source mix differs. B2B brands tend to be most influenced by Wikipedia, G2, trade press, and industry research. B2C brands are more heavily influenced by Reddit, ProductHunt, mainstream news, and social discussion. Both rely on structured data, entity authority, and AI-readable content as foundations.

Where it leads

Be Seen. Be Understood. Be Asked.

Most organisations begin with the audit. Content gets the information behind the answers approved and kept current. The agent is where it leads.

Be Seen / Kodiac Audit

See how AI describes your organisation and identify what needs attention.

Explore Audit

Be Understood / Kodiac Content

Connect and maintain trusted information for AI to use.

Explore Content

Be Asked / Kodiac Agent

Give customers and their AI someone to ask.

Explore Agent

Visibility is the entry point. The destination is a Brand Agent of your own: one your customers and their AI can ask directly, answering only from information you have approved, remembering with permission, on the AI model you choose.

Explore Kodiac Agent
Start with the audit

See your AEO score.

The journey starts with seeing how AI understands you today. Scan your brand across six AI systems. Visibility score per system, the sources shaping it, prioritised fixes.

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