TL;DR
- An AEO score measures how often and how prominently AI engines cite your brand in response to relevant queries.
- There is no universal standard yet - scores range from composite 0-100 metrics to simple citation percentages.
- A strong AEO score means appearing in 60%+ of relevant AI queries. Poor means under 10% coverage.
- Brands cited first in AI answers see 15-25% lifts in branded search queries within weeks.
- AI search visitors convert at 4.4x higher rates than traditional organic, making AEO score directly tied to revenue potential.
What is an AEO Score?
An AEO (Answer Engine Optimization) score quantifies how visible your brand is across AI-powered search experiences. It answers the question: when people ask AI about your category, how often does your brand come up?
Unlike SEO rankings (position 1-10 on a single page), AEO visibility is multi-dimensional:
- Are you mentioned at all?
- Where in the response do you appear? (First, second, third recommendation)
- What does the AI say about you? (Positive, neutral, incorrect)
- How many different queries surface your brand?
- Which platforms cite you vs which ignore you?
The Metrics That Define AI Visibility
Citation Rate
Percentage of relevant queries where your brand is mentioned in AI responses. Measured by running a fixed set of prompts against AI engines and counting mentions.
Example: If you track 100 category-relevant prompts and your brand appears in 35 of them, your citation rate is 35%.
Share of Voice
Your mention frequency relative to competitors. If AI mentions your brand in 35 out of 100 queries and your top competitor appears in 55, their share of voice is higher.
Recommendation Position
Where your brand appears in ranked recommendations. Being the first brand mentioned ("We recommend X for...") carries more weight than being listed third or fourth.
Sentiment Polarity
Whether AI mentions are positive, neutral, or negative. A brand with 60% citation rate but negative sentiment has a different AEO challenge than one with 20% citation rate and positive sentiment.
Query Coverage
Breadth of queries where you appear. Some brands score well on branded queries but are absent from category and comparison queries that drive new customer acquisition.
Platform Distribution
How evenly you appear across different AI engines. A brand visible on ChatGPT but invisible on Perplexity and Google AI Overviews has platform concentration risk.
What Good Looks Like
| Score Range | What It Means | Typical Brand Profile |
|---|---|---|
| 70-100% citation rate | Dominant | Category leader with strong off-site presence |
| 40-70% | Strong | Established brand with active content strategy |
| 20-40% | Average | Known brand, gaps in off-site mentions |
| 5-20% | Weak | Limited AI presence despite possible SEO strength |
| Under 5% | Invisible | No meaningful AI visibility |
For e-commerce brands, being in the 40-70% range across your core category queries is a strong foundation. Getting to 70%+ requires consistent investment over 6-12 months.
How to Measure Your AEO Score
Method 1: Manual Audit (Free, Limited Scale)
- List 20-50 queries your target customers ask about your category
- Run each query on ChatGPT, Perplexity, and Google (AI Overview)
- Log whether your brand is mentioned, position, and sentiment
- Calculate citation rate: mentions / total queries
- Repeat monthly to track changes
Limitations: Does not scale past 50 queries. Results vary by session. Time-intensive.
Method 2: Dedicated AEO Tools
Platforms like Lexsis, Otterly, and BrandRank automate this:
- Run hundreds of prompts automatically on schedule
- Track changes over time with historical data
- Compare against competitors
- Break down by platform, query type, and product
- Provide composite scores (0-100) aggregating all signals
Method 3: Proxy Metrics (Indirect Measurement)
If you cannot afford dedicated tools, track proxy signals:
- Branded search volume (Google Search Console): increasing = AI driving awareness
- Direct traffic growth: AI mentions drive people to search your brand directly
- Referral from perplexity.ai: one of the few AI platforms sending trackable referrals
- Google Trends for brand name: correlated with AI mention frequency
The AEO Score and Revenue Connection
Direct Attribution (Where Measurable)
- Perplexity sends source-attributed referral traffic (trackable in analytics)
- Google AI Overviews reduce organic CTR but increase branded search (measurable via GSC)
- ChatGPT Shopping shows product cards with links (emerging attribution)
Indirect Attribution (Larger Impact)
- Brands cited first in AI answers see 15-25% lifts in branded search within weeks
- AI search visitors convert at 4.4x higher rates than traditional organic
- Brand mentions in AI create trust that accelerates conversion on any channel
- AEO compounds: more citations lead to more brand searches lead to more content signals lead to more citations
Calculating AEO ROI
Monthly AI-influenced revenue =
(AI referral traffic x conversion rate x AOV) +
(Branded search lift x conversion rate x AOV)
Most brands underestimate the branded search component, which is typically 3-5x larger than direct AI referral traffic.
Building Your AEO Scorecard
Track these metrics monthly:
| Metric | How to Measure | Target |
|---|---|---|
| Citation rate | Query AI engines with target prompts | 40%+ for core category |
| Share of voice | Compare mentions vs top 3 competitors | #1 or #2 position |
| Platform coverage | Check each AI engine separately | Present on 4+ platforms |
| Sentiment | Classify mentions as pos/neutral/neg | 80%+ positive |
| Query breadth | Count unique query types with citations | Growing month over month |
| Branded search lift | GSC branded impressions trend | Increasing |
| AI referral traffic | Analytics referral from AI domains | Growing |
Common Score Patterns
Pattern: "High SEO, Low AEO"
- Ranks well on Google, invisible in AI
- Cause: strong on-site content but weak off-site presence
- Fix: build third-party citations, Reddit mentions, expert reviews
Pattern: "Good brand, bad data"
- Brand is known but AI gets details wrong
- Cause: inconsistent information across sources, thin schema
- Fix: structured data, consistent claims, correct errors in AI training sources
Pattern: "One platform only"
- Visible on ChatGPT but invisible on Perplexity and Google AI
- Cause: different platforms weight different sources
- Fix: diversify citation sources, ensure technical access for all AI bots
Pattern: "Competitor stealing"
- Previously cited, now competitor appears instead
- Cause: competitor invested in AEO, your content became stale
- Fix: update content, increase citation frequency, daily monitoring
How Lexsis Measures Your Score
Lexsis provides a composite Visibility Score (0-100) that aggregates:
- Citation rate across all 6 tracked platforms
- Share of voice against configured competitors
- Position in recommendations (first vs third mention)
- Query coverage breadth
- Trend direction (improving/declining)
The score updates with every sweep (weekly for Starter, up to daily for Scale). Historical tracking shows how specific actions (content updates, citation building) impact your visibility.
FAQ
Is there a standard AEO scoring system?
Not yet. Each platform uses proprietary scoring. Lexsis uses 0-100 composite. Otterly uses AI Share of Voice percentage. BrandRank uses a multi-axis scoring system. The metrics are similar but not directly comparable across tools.
How often should I check my AEO score?
Weekly at minimum. AI answers change more frequently than Google rankings. Daily monitoring (available on higher-tier plans) catches drops within 24 hours.
Can my AEO score drop suddenly?
Yes. AI answers are not as stable as Google rankings. A competitor publishing fresh content, a negative review going viral, or an AI model update can shift citations. This is why ongoing monitoring matters.
What moves the AEO score fastest?
Structured data fixes (1-2 weeks). Fresh content publication (2-4 weeks). Third-party citations (4-8 weeks). Brand entity building (2-4 months).
Your AEO score is the metric that tells you whether AI is working for or against your brand. Measuring it is the first step to improving it.
