ML-NTWX Framework
SEO vs AEO — The Complete Metrics Framework
Every SEO metric, protocol & ad format mapped to its AEO equivalent. A working tool for AI-era optimization.
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Metric Pairs
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Categories
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DOME Pillars
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GA4 Signals
The Shift
The Paradigm Shift
From optimizing for search engine crawlers to optimizing for AI reasoning engines. Every stage of the funnel has a new equivalent.
SEO World
1Keywords
2Rankings
3Clicks
4Conversions
Evolves to
AEO World
1Entities
2Citations
3Selections
4AI-Mediated Revenue
Core Framework
Metrics Comparison
Every SEO metric, protocol, and ad format mapped to its AEO equivalent with practical measurement guidance.
| SEO Metric | AEO Equivalent | How to Measure (AEO) | GA4 / Looker Signal |
|---|---|---|---|
| Keyword Rankings (Position 1-10) | AI Citation Frequency | # of times brand cited in AI answers across ChatGPT, Perplexity, Gemini | Custom channel group: AI Tools referral sessions |
| Organic Impressions | AI Share of Voice (SOV) | % of relevant AI answers mentioning your brand vs competitors | Looker: AI SOV trend dashboard |
| SERP Visibility Score | AI Visibility Score | Aggregate visibility across all AI platforms | Profound / Otterly / SE Visible dashboards |
| Featured Snippet Wins | AI Answer Selection Rate | % of queries where your content is selected as THE answer | Manual audit + citation tool tracking |
| People Also Ask (PAA) | Conversational Query Coverage | # of question-based queries your content answers in AI | GA4: question-format landing pages from AI referrals |
| Knowledge Panel Presence | Entity Recognition Score | How accurately AI systems represent your brand/products | Manual prompt testing across platforms |
| SEO Metric | AEO Equivalent | How to Measure (AEO) | GA4 / Looker Signal |
|---|---|---|---|
| Organic Click-Through Rate (CTR) | AI Referral Rate | % of AI citations that generate a click-through | GA4: AI channel CTR (sessions / estimated citations) |
| Organic Sessions | AI-Referred Sessions | Direct visits from ChatGPT, Perplexity, Gemini, Claude | GA4: Session source = chatgpt.com, perplexity.ai, etc. |
| Bounce Rate | AI Session Quality Score | Engagement depth of AI-referred visitors | GA4: Engaged sessions from AI channel |
| Pages Per Session | AI Content Depth | How deep AI visitors explore after landing | GA4: Pages/session filtered by AI source |
| Average Session Duration | AI Engagement Time | Time spent by AI-referred visitors | GA4: Avg engagement time per AI session |
| Return Visitor Rate | AI Re-discovery Rate | % of AI visitors who return via any channel | GA4: Audience — returning users from AI first touch |
| SEO Metric | AEO Equivalent | How to Measure (AEO) | GA4 / Looker Signal |
|---|---|---|---|
| Domain Authority (DA/DR) | AI Trust Score | How reliably AI systems cite you as authoritative | Citation consistency across platforms |
| Backlink Profile | AI Source Graph | Which AI platforms reference you and how often | Citation tool: source breakdown |
| Content Freshness (Last Modified) | Time-to-Citation | Days from publish/update to first AI citation | Publish date vs first detected citation |
| Topical Authority | Entity Authority Depth | How comprehensively AI understands your topic coverage | Prompt testing: breadth of queries you appear in |
| E-E-A-T Signals | AI Confidence Score | How confidently AI cites you (hedging vs definitive) | Sentiment analysis in citations |
| Page Speed / Core Web Vitals | AI Crawl Readiness | How easily AI bots can parse your content | Schema validation + robots.txt audit |
| SEO Protocol | AEO Protocol | Purpose | Implementation |
|---|---|---|---|
| robots.txt | llms.txt / ai.txt | Control AI crawler access | Allow/disallow specific AI bots |
| XML Sitemap | Structured Data Map | Guide AI to key content | JSON-LD schema across all pages |
| Meta Title & Description | AI-Ready Answer Blocks | Machine-readable page summaries | Concise 50-60 word answer at top of page |
| Canonical Tags | Entity Canonical URL | Single source of truth for AI | Schema: mainEntityOfPage |
| Hreflang Tags | Content Locale Signals | Language/region targeting for AI | Schema: inLanguage + areaServed |
| Schema.org (basic) | Schema.org (comprehensive) | From basic Article/Product to full entity graph | FAQPage, HowTo, Product, ItemList, Organization |
| Open Graph Tags | AI Context Tags | Social sharing vs AI comprehension | Structured JSON-LD over meta tags |
| Internal Linking | Entity Relationship Mapping | Site structure vs knowledge graph connections | SameAs, isPartOf, relatedTo schema |
| Google Search Console | AI Visibility Dashboard | Monitor search vs AI performance | Profound / Otterly + GA4 AI channel |
| PageRank Algorithm | Citation Authority Algorithm | How Google ranks vs how AI selects sources | Quality content + structured data + freshness |
| SEO / Ads Format | AEO / AI Ads Equivalent | How It Works | Revenue Model |
|---|---|---|---|
| Google Search Ads (PPC) | AI Overview Ads / Direct Offers | Ads within AI-generated summaries | Performance Max + Shopping campaigns |
| Google Shopping Ads | AI Mode Product Cards | Product listings in AI conversational shopping | Shopping feed + Google Merchant Center |
| Display Ads (GDN) | AI Video Ads | Visual content in AI discovery experiences | Performance Max + AI-generated creative |
| Remarketing / Retargeting | AI Re-engagement | Following users across AI touchpoints | Audience-based PMax targeting |
| Affiliate Links (SEO) | Agentic Commerce Affiliate | AI agents recommending + transacting products | Universal Commerce Protocol (UCP) |
| Sponsored Content / Native Ads | AI-Cited Sponsored Content | Brand content selected as AI source material | Content optimization for citation |
| Local Service Ads | AI Business Agent | Brand chatbot on Google Business Profile | Google Business Agent customization |
| Cost Per Click (CPC) | Cost Per Citation (CPC*) | Price per traditional click vs price per AI mention | Citation value = (AI traffic × CVR × AOV) / citations |
| Return on Ad Spend (ROAS) | Return on AEO Investment (ROAI) | Ad revenue vs AEO implementation ROI | (AI-mediated revenue − AEO cost) / AEO cost |
Scoring Layer
DOME AEO Scorecard
Three-pillar scoring system for AI-readiness. Each pillar is scored 1–10 based on sub-metrics. The composite score reflects overall AEO optimization maturity.
Semantic Clarity
Score: 1–10
Header Hierarchy
8/10
Logical H1→H6 structure, one H1, descriptive headings
Brand Entity Counts
7/10
Brand name frequency, consistent naming, entity co-occurrence
LLM-Parseable Structure
6/10
Clean HTML, semantic tags, machine-readable sections
Answer-First Content
7/10
Concise answers in first 50–60 words of each section
Data Density
Score: 1–10
Technical Specifications
8/10
Quantitative data, specs, benchmarks that AI can extract
Comparison Data
7/10
Tables, matrices, vs-format content for AI synthesis
Latent Attributes
6/10
Hidden-value data points AI can surface in responses
Schema Coverage
8/10
JSON-LD completeness: Product, FAQ, HowTo, Organization
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/ 10
AEO Readiness Score
Composite score weighted across three pillars. Semantic Clarity (35%), Data Density (35%), Assistant Authority (30%). Update monthly during content audits.
7.0 Semantic
7.3 Density
Implementation
GA4 + Looker Studio Integration
Practical setup guide for tracking AI-referred traffic alongside traditional organic. Create the "AI Tools" custom channel group and build a dedicated Looker dashboard.
GA4 Custom Channel Group
// GA4 → Admin → Data display → Custom channel groups
// Create new channel group: "AI Tools"
Channel name: AI Tools
Condition: Source matches regex
chatgpt\.com|perplexity\.ai|
claude\.ai|gemini\.google\.com|
copilot\.microsoft\.com|
you\.com|phind\.com
// Priority: Place ABOVE Organic Search
// Create new channel group: "AI Tools"
Channel name: AI Tools
Condition: Source matches regex
chatgpt\.com|perplexity\.ai|
claude\.ai|gemini\.google\.com|
copilot\.microsoft\.com|
you\.com|phind\.com
// Priority: Place ABOVE Organic Search
Place the AI Tools channel above Organic Search in priority order so AI referrals are captured before falling into organic. Update the regex as new AI platforms emerge.
Key AI Referral Sources
- chatgpt.comChatGPT web + plugins
- perplexity.aiPerplexity answers
- claude.aiClaude conversations
- gemini.google.comGoogle Gemini
- copilot.microsoft.comMicrosoft Copilot
- you.comYou.com AI search
- phind.comPhind dev search
Recommended Looker Studio Dashboard Structure
KPI Row — AI Traffic Overview
AI Sessions | AI Users | AI Bounce Rate | AI Conv. Rate | AI Revenue (scorecards with sparklines + Δ%)
AI Traffic Volume & Growth
Time-series line chart: AI sessions over 90 days. Compare period toggle. Include trendline + annotation for content updates.
AI vs Organic Comparison
Stacked bar or dual-axis chart: AI channel vs Organic channel. Sessions, engagement rate, conversion rate side-by-side.
Landing Page Performance by AI Source
Table: Top 20 landing pages from AI referrals. Columns: Page, Source, Sessions, Engagement, Conversions. Sortable.
Conversion Attribution from AI Channel
Funnel or Sankey: AI Session → Engaged → Key Event → Conversion. Break down by platform source. Include revenue if e-commerce.
Source Breakdown
Pie/donut: % sessions by AI platform (ChatGPT vs Perplexity vs Gemini etc.)
Device Split
Bar: Desktop vs Mobile vs Tablet for AI referrals
Geo Distribution
Map or bar: Top countries/regions for AI traffic
Content Type Performance
Grouped bar: Blog vs Product vs FAQ pages from AI sources
Rhythm
Measurement Cadence
Recommended tracking rhythm to stay ahead of the AI optimization curve. Consistency beats intensity.
Daily
- Check AI citation alerts (Profound / Otterly)
- Monitor AI referral traffic in GA4 real-time
- Scan new AI platform referral sources
Weekly
- SOV trends across tracked query set
- Citation rate changes — new wins/losses
- New referral source identification
- AI vs Organic engagement comparison
Monthly
- Full competitive audit — SOV vs top 5 competitors
- Content performance review — top cited pages
- DOME AEO scorecard update — re-score all pillars
- Schema validation + structured data audit
Quarterly
- Strategy adjustment — pivot on low-performing areas
- Protocol updates — llms.txt, ai.txt, schema revisions
- ROI analysis — ROAI calculation + reporting
- New AI platform assessment + channel group updates