Agent Experiences

SEO/Marketing Guide to AXO

SEO/Marketing Role in AXO

SEO and marketing professionals must understand how LLM agents differ from traditional search engines and develop new strategies for monitoring and optimizing content performance in AI-generated responses.

Search and content discovery have changed faster in two years than in the decade before. As an SEO or marketing professional, you need to adapt your strategies for the age of AI agents while maintaining traditional SEO practices. This guide covers the fundamental differences and new optimization approaches.

If your first question is what to call this discipline — GEO, AEO, AI visibility, or something else — that argument is still formally unresolved and matters less than the mechanics below. Use whichever term your organization already says.

How LLM Agents Differ from Search Engines

Traditional Search vs AI Agents

Traditional Search EnginesLLM Agents
Return lists of linksGenerate direct answers
Rank pages by authority signalsSynthesize information from multiple sources
Focus on keyword matchingUnderstand context and intent
Drive traffic to websitesProvide information without clicks
Use backlinks for authorityEvaluate content quality and accuracy

Implications for SEO Strategy

The Citation Economy

Ranking well no longer predicts being cited. The share of AI Overview citations drawn from top-10 organic results fell from about 76% to about 38% in under a year, and ChatGPT's top-cited pages overlap Google's top 10 only about 6.8% of the time (Ahrefs, 2026). Meanwhile about 68% of US Google searches ended without a click between January and April 2026 (SparkToro/Datos). Position and citation are now two separate games.

Content Strategy for AI Agents

Long-Tail Structured Content

AI agents excel at answering specific, detailed questions. Optimize for long-tail queries:

Traditional SEO Target: "email marketing"
AXO Target: "how to calculate email marketing ROI for B2B SaaS companies"

Topic Clusters and Expertise

Build thorough topic coverage that demonstrates expertise:

Answer-First Content Structure

Structure content to directly answer questions:

## What is Email Marketing ROI?

Email marketing ROI is calculated by subtracting campaign cost from
the revenue the campaign generated, dividing by cost, then multiplying
by 100 to express it as a percentage.

**Formula**: ((Revenue - Cost) / Cost) × 100 = ROI%

### Worked Example
A campaign costing $2,000 that generates $18,000 in attributed revenue
returns (($18,000 - $2,000) / $2,000) × 100 = 800% ROI.

### Before You Quote a Benchmark
Cite the specific study, its year, and its sample — and link to it.
Widely repeated industry averages are often a single vendor survey
from years earlier, restated without the date. An agent that can
verify your source is likelier to reuse your framing than a bare
number it cannot trace.

Monitoring and Analytics

Citation Tracking

Monitor when your content is referenced by AI systems:

Don't monitor one engine. ChatGPT's share of gen-AI referral traffic fell to about 52.7% by May 2026 while Claude's tripled (Similarweb data via PPC Land), so a ChatGPT-only view of your citations is now missing roughly half the picture.

New Performance Metrics

Traditional metrics remain important, but add AXO-specific measurements:

Traditional Metrics:

AXO Metrics:

Tools and Monitoring

Set up monitoring systems for AXO performance:

# Example monitoring setup
monitoring:
  citations:
    - Track brand mentions in ChatGPT, Claude, Gemini responses
    - Monitor content attribution frequency
    - Set up Google Alerts for brand + AI mentions
  
  technical:
    - Schema markup validation
    - Site speed for agent crawlers
    - Content freshness tracking
    - Broken link monitoring
  
  content:
    - Fact accuracy audits
    - Content structure analysis
    - Update frequency tracking
    - Source attribution verification

Competitive Analysis for AXO

Analyzing Competitor Citations

Research which competitors are being referenced by AI agents:

Content Opportunity Identification

Find opportunities where your content could be referenced:

  1. Underserved Topics: Identify questions AI agents struggle to answer well
  2. Outdated Information: Find areas where current citations reference old data
  3. Missing Context: Locate topics that need more thorough coverage
  4. Local/Niche Expertise: Use knowledge or local insight nobody else has

Technical SEO for AXO

Schema Markup Priority

Focus on schema types that agents value most:

Site Architecture for Agents

Design a site structure agents can traverse:

/
├── /guides/
│   ├── /email-marketing/
│   │   ├── roi-calculation
│   │   ├── best-practices
│   │   └── automation-setup
│   └── /content-marketing/
├── /tools/
└── /resources/

Performance Optimization

Ensure your site performs well for agent crawling:

Content Optimization Strategies

Fact-Dense Content

Create content with high information density:

❌ Poor: "AI search is changing things fast and it's really important to keep up."

✅ Good: "Reddit is the most-cited domain across AI engines and accounts for
roughly 16.7% of ChatGPT citations, according to Ahrefs' July 2026 analysis
(https://ahrefs.com/blog/most-cited-domains-in-chatgpt/)."

Note what the good version supplies: a named source, a date, a specific figure, and a link an agent or a reader can check. Drop any one of those and the sentence stops being reusable.

Authoritative Sources

Build authority through proper sourcing:

Regular Content Audits

Maintain content quality through systematic reviews:

Measuring AXO Success

Key AXO Performance Indicators

  • Citation Frequency: How often your content appears in AI responses
  • Content Authority: Recognition as a trusted source in your industry
  • Information Coverage: Full coverage of topics in your expertise area
  • Content Freshness: Regular updates maintaining current, accurate information
  • Technical Performance: Fast loading, proper markup, reliable availability

ROI Measurement

Calculate the value of AXO efforts:

Common AXO Mistakes in SEO

Over-Optimizing for Keywords

Problem: Focusing too heavily on keyword density over content quality Solution: Prioritize detailed, accurate information over keyword stuffing

Ignoring Content Structure

Problem: Poor heading hierarchy and information organization Solution: Implement clear, logical content structure with proper HTML semantics

Outdated Information

Problem: Maintaining old content with outdated statistics or information Solution: Establish regular content audit and update schedules

Missing Attribution

Problem: Making claims without proper source citations Solution: Always link to primary sources and include publication dates

References

  1. Ranking in Google no longer means being cited by AI - Ahrefs (2026)
  2. In 2026, less than one third of Google searches still send a click - SparkToro / Datos (2026)
  3. The most-cited domains in ChatGPT - Ahrefs (2026)
  4. AI crawler traffic by purpose and industry - Cloudflare Radar (2026)
  5. ChatGPT drops to 52.7% as Claude triples its AI traffic share - Similarweb data via PPC Land (2026)

The transition from traditional SEO to AXO requires a fundamental shift in thinking. Focus on becoming the most authoritative, accurate, and well-structured source of information in your domain. Start by auditing your current content for AXO readiness, then gradually implement these new optimization strategies.