AEO, GEO, ACO: SEO in the Age of AI Agents

The end of the click paradigm. The rise of the citation paradigm.

By Selim Reggabi, SEO Expert & AI Optimization Specialist

The Death of the Click

The numbers are unequivocal:

Metric Evolution
CTR for top Google positions -34.5% (AI Overviews)
AI-referred traffic +357% in 1 year
Zero-click searches 60% in 2024
Traditional search volume -25% projected by 2026 (Gartner)

The paradigm is shifting. We no longer optimize for the click. We optimize for the citation.

When a user asks ChatGPT "What is the best Swiss White Shepherd breeder in France?", Google doesn't intervene. Neither do your meta descriptions. Nor your title tags.

What matters: being in the LLM's knowledge corpus. And if you're not there? You don't exist.

The Paradigm Shift: SEO vs GEO

Before diving into acronyms, let's understand the fundamental shift:

Dimension SEO (Human-Centric) GEO (Agent-Centric)
Primary metric Clicks, CTR, positions Citations, mentions, attributions
Target Google index (SERPs) Context window (LLM)
Main tool Keywords, backlinks Knowledge graphs, entities
Desired outcome Traffic to site Automated purchase decision
Optimization Title tags, meta descriptions Schema.org, structured data
Authority proof PageRank, Domain Authority Verifiable E-E-A-T, trust signals
Timing Indexation (days/weeks) Real-time (continuous crawl)
Response format Clickable link Synthesized answer with source

This isn't incremental evolution. It's a paradigm rupture.

In the SEO model, you optimize to be clicked. In the GEO model, you optimize to be cited as an authoritative source — even if the user never visits your site. This fundamental shift requires rethinking how we approach topical authority and E-E-A-T signals.

The 3 New Acronyms

AEO — Answer Engine Optimization

Microsoft's definition: "Optimizes content for AI agents and assistants (like Copilot or ChatGPT) so they can find, understand, and present answers effectively."

AEO focuses on data clarity.

What AEO requires:

  • Precise structured data: No ambiguity, no vagueness
  • Exhaustive product attributes: Every characteristic documented
  • Real-time information: Data must be current
  • Specificity: Generic is no longer enough

Concrete example (SEO vs AEO)

Approach Query
Classic SEO "waterproof jacket"
AEO "lightweight waterproof jacket, packable, with storage pocket, ventilated seams, reflective strips, 30D ripstop fabric"

The AI agent needs machine-readable precision. It cannot guess what you haven't stated.

GEO — Generative Engine Optimization

Microsoft's definition: "Optimizes content for AI-generated search environments (like LLM engines) to make it discoverable, trustworthy, and authoritative."

GEO focuses on credibility.

What GEO requires:

  • Authority signals: Press mentions, certifications, awards
  • Verifiable social proof: Authentic reviews, sourced testimonials
  • Explicit guarantees: Returns, warranties, commitments
  • Distinctive editorial voice: A point of view, not a compilation

AEO vs GEO example

Approach Focus
AEO "Swiss White Shepherd, LOF registered, MDR1 tested, hip/elbow dysplasia screening, sales contract, veterinary follow-up included"
GEO "FCI World Champion 2021, 100+ international titles, SCC Breeding Commission member, recommended by the Société Centrale Canine, 4.9/5 on 87 verified reviews"

AEO says what you are. GEO says why you should be trusted.

Vectorial Authority: Understanding LLM Logic

LLMs represent concepts in multi-dimensional vector space. Each word, entity, and concept occupies a position in this space.

Imagine an N-dimensional space where:

  • The center of a concept (e.g., "quality dog breeding") is defined by the most representative entities
  • Each site/brand/entity has a position relative to this center
  • The closer you are to the conceptual center, the more authority you have

How to get closer to the center?

  1. Semantic consistency: Use exact domain vocabulary, not marketing synonyms
  2. Related entity density: Mention official organizations, recognized experts, major events
  3. Verifiable proof: Every claim should be traceable (dates, numbers, sources)
  4. Age and consistency: An entity with 10 years of coherent discourse has more "vectorial weight"

This is why a site that simply says "we are the best" will never have vectorial authority. It's connected to no knowledge graph nodes. It floats in semantic void. Proper entity registry management and deliberate connection to recognized entities becomes essential for LLM visibility.

ACO — Agentic Commerce Optimization

This is the most recent. And the most disruptive.

ACO optimizes for AI agents that make purchases.

Not humans who search. Agents who execute transactions.

The Protocols at Play

ACP (Agentic Commerce Protocol) — OpenAI + Stripe

  • Standard for agent-to-business transactions
  • The agent can negotiate, compare, purchase
  • Already operational in ChatGPT plugins

UCP (Universal Commerce Protocol) — Google

  • Expanded, interoperable version
  • Integration with Google Shopping, Merchant Center
  • Vision: a universal agent for all transactions

What ACO requires:

  • Transactional APIs: The agent must be able to act, not just read
  • Machine-readable pricing: Prices, availability, terms in JSON
  • Verified identity: The agent must know who it's dealing with
  • Automated fulfillment: From order to delivery
Projection: By 2028, 30% of e-commerce transactions will go through AI agents. Sites not ACO-optimized will be invisible to this channel.

ACO Customs: Critical Files

ACO introduces new configuration files that AI agents consult before interacting with your site. These are the customs of agentic commerce.

/.well-known/ai-plugin.json

This file, popularized by ChatGPT plugins, describes your site's capabilities for AI agents:

{
  "schema_version": "v1",
  "name_for_human": "OWAG - Dog Breeders",
  "name_for_model": "owag_breeders",
  "description_for_human": "Find certified dog breeders in France",
  "description_for_model": "API to search breeders by breed, region, certifications. Returns puppy availability, prices, health tests.",
  "auth": { "type": "none" },
  "api": {
    "type": "openapi",
    "url": "https://owag.fr/.well-known/openapi.yaml"
  },
  "capabilities": ["search", "compare", "contact"],
  "logo_url": "https://owag.fr/logo.png",
  "contact_email": "api@owag.fr"
}

AI-Specific robots.txt Directives

The robots.txt evolves to include AI agent-specific directives:

# AI Agents - Access Authorized
User-agent: ChatGPT-User
Allow: /api/
Allow: /products/
Allow: /availability/

User-agent: PerplexityBot
Allow: /

User-agent: ClaudeBot
Allow: /

# Traditional Crawlers
User-agent: Googlebot
Allow: /

# Commerce Agents - API Access
User-agent: AgentCommerce
Allow: /api/v1/
Allow: /.well-known/

ACO Preparation Checklist

  1. Create /.well-known/ai-plugin.json describing your capabilities
  2. Document your API in OpenAPI/Swagger format
  3. Add robots.txt directives for AI agents
  4. Expose real-time data via JSON endpoints
  5. Implement lightweight authentication for verified agents
  6. Monitor agent requests in your logs

Schema.org: The New Lingua Franca

Microsoft explicitly recommends these Schema types:

Type Usage
Product Product characteristics
Offer Price, availability, conditions
AggregateRating Verifiable average rating
Review Individual reviews
Brand Brand identity
ItemList Collections, catalogs
FAQ Structured Q&A
Organization Entity behind the site
Person Authors, experts

Structured data is no longer "nice to have". It's the condition for existence in the AI ecosystem.

A site without Schema.org in 2026 is like a site without HTML in 2000. Technically functional. Practically invisible.

Entity Interconnection

The power of modern Schema.org lies in interconnection via @id:

{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://owag.fr/#organization",
      "name": "OWAG",
      "founder": { "@id": "https://selimreggabi.com/#person" },
      "award": ["FCI World Champion 2021", "100+ international titles"]
    },
    {
      "@type": "Person",
      "@id": "https://selimreggabi.com/#person",
      "name": "Selim Reggabi",
      "jobTitle": "Breeder & SEO Expert",
      "memberOf": { "@id": "https://owag.fr/#organization" },
      "award": ["FCI World Champion 2021"]
    }
  ]
}

Entities reference each other, creating a mini knowledge graph that LLMs can traverse. This interconnected approach is central to the Doctrine Mesh methodology, where every entity reinforces the authority of others within the same semantic network.

Why LLMs Are Already Crawling Us

OWAG.fr log analysis (January 2026):

Bot Frequency Targeted Pages
ChatGPT-User Daily Breed pages, breeders
PerplexityBot Daily Health guides, articles
ClaudeBot Weekly Entire site
GoogleBot Continuous Entire site
Bingbot Daily Product pages
GPTBot Weekly Educational content

LLMs no longer rely solely on their training corpus. They crawl in real-time. They verify information. They compare sources.

What the Logs Reveal

  1. Most crawled pages by AI: Those with the most structured data
  2. Frequency correlated with freshness: Updated pages get recrawled
  3. Crawl depth: AI follows internal links — strategic internal linking still matters
  4. Preference for structured data: Pages with JSON-LD are crawled 3x more

If your site isn't being crawled by these bots, ask yourself: why don't you deserve their attention?

The Citation Test

Here's the ultimate test of your AEO/GEO optimization:

  1. Open ChatGPT, Claude, or Perplexity
  2. Ask a question about your domain of expertise
  3. Observe: are you cited?

If not, your traditional SEO might be excellent. But you're invisible to 30% of information searches (and growing).

Our Result

For "best Swiss White Shepherd breeder France", OWAG is cited by ChatGPT and Perplexity. This isn't luck. It's 10 years of E-E-A-T construction + structured optimization.

Citation Test Methodology

For rigorous testing:

  1. Use multiple LLMs: ChatGPT, Claude, Perplexity, Gemini
  2. Vary formulations: Direct question, comparative, exploratory
  3. Test in incognito: Avoid personalization bias
  4. Document results: Date, model, exact prompt, response
  5. Repeat monthly: Authority evolves with model updates

What You Need to Do Now

Priority 1: Schema.org Audit

Verify every important page has:

Priority 2: GEO Signals

Explicitly document:

Priority 3: AEO Precision

For each offer/product/service:

Priority 4: Prepare for ACO

If you sell something:

The Evolution of SEO: Timeline

Period Dominant Paradigm Key Metric
2000-2010 Keywords Keyword density
2010-2015 Links PageRank, backlinks
2015-2020 Content Time on page, engagement
2020-2024 E-E-A-T Authority signals
2024-2026 AEO/GEO AI citations
2026+ ACO Agentic transactions

Each transition hasn't killed previous paradigms. It has integrated and surpassed them. You still need keywords, links, content, E-E-A-T. But it's no longer sufficient.

Conclusion

SEO isn't dead. It's evolving.

The click paradigm (being clicked in SERPs) yields to the citation paradigm (being cited by AI).

The sites that will dominate tomorrow are those that:

  1. Exist in the knowledge graph — recognized entities, not anonymous pages
  2. Deserve to be cited — verifiable topical authority, not hollow claims
  3. Are machine-readable — structured data, not marketing prose
  4. Are accessible to agents — APIs, config files, real-time endpoints

Traditional SEO remains important. But it becomes a necessary, not sufficient condition.

AEO + GEO + ACO = the new triptych of digital visibility.

Doctrine: "The click was a metric of curiosity. The citation is a metric of trust. When an LLM cites you, it puts its credibility on the line. It only does so if you deserve it."
— Selim Reggabi, January 2026

Sources

About the Author

Selim Reggabi is a world-renowned SEO expert pioneering AEO, GEO, and ACO optimization strategies. With 15+ years in SEO and proven success in niche domination (FCI World Champion 2021 in canine breeding), he combines technical expertise with practical AI optimization methodologies. His work on OWAG.fr demonstrates these principles at scale: the site is consistently cited by ChatGPT and Perplexity for canine breeding queries.

Learn more about Selim Reggabi