AEO Fundamentals
What Is an AEO Score? How to Measure Your Brand's AI Search Visibility
An AEO score is a quantified measure of how visible your brand is in AI-generated answers. Here's what goes into one, how to read yours, and what score you should be targeting.
What Is an AEO Score? How to Measure Your Brand's AI Search Visibility
The short answer: An AEO score is a 0–100 numerical rating of how well your brand is positioned to be cited and recommended by AI answer engines like ChatGPT, Perplexity, and Gemini. It aggregates performance across five dimensions: structured data, content structure, external authority, community presence, and live AI visibility testing.
For 25 years, SEO practitioners have used domain authority scores, keyword rankings, and organic traffic numbers to measure search performance. AEO is newer, and the tooling is still catching up — but the principle is the same. You need a number. A baseline you can improve against. A score that tells you whether you're winning or losing in AI search.
An AEO score is that number.
What an AEO Score Measures
An AEO score aggregates performance across the signals that determine whether AI answer engines cite, mention, or recommend your brand. A well-constructed AEO score covers five dimensions:
Dimension 1: Structured Data (Website)
What it measures: Whether your site uses schema markup that AI crawlers can parse — Organization schema, FAQ schema, HowTo schema, SpeakableSpecification markup.
Why it matters: Schema is a direct signal to AI systems about what your content means. Pages with FAQ schema are cited at dramatically higher rates in retrieval-augmented answers.
Typical weight in a composite score: ~20%
Dimension 2: Content Structure
What it measures: Whether your key pages are structured in answer-first format, use conversational headings, have sufficient topical depth, allow AI crawlers access (robots.txt), and include an llms.txt file.
Why it matters: AI systems extract answers from well-structured pages. Content buried under SEO preamble rarely gets cited.
Typical weight: ~25%
Dimension 3: External Authority
What it measures: Wikipedia and Wikidata presence, Google Knowledge Panel status, mentions in high-DA publications, Crunchbase and LinkedIn profile completeness, backlink profile quality.
Why it matters: External, independent signals are what AI systems trust most. What others say about your brand matters more than what you say about yourself.
Typical weight: ~30%
Dimension 4: Community Presence
What it measures: Reddit mention volume and sentiment, subreddit category association, presence and rating on G2, Capterra, or Trustpilot, social handle consistency across platforms.
Why it matters: Reddit and review platforms are heavily represented in LLM training data and heavily cited in AI responses to "what's the best X" queries.
Typical weight: ~15%
Dimension 5: Live AI Visibility
What it measures: Direct query testing across ChatGPT, Perplexity, and Gemini — whether your brand appears for brand recognition queries, category queries, and comparison queries; whether descriptions are accurate; whether your site is cited by Perplexity.
Why it matters: This is the ground truth. All other dimensions are inputs. Live AI visibility is the actual output.
Typical weight: ~10%
How to Read an AEO Score
| Score Range | Band | What It Means |
|---|---|---|
| 0–20 | Invisible | AI models don't know you exist or describe you inaccurately. Not appearing in category queries. Urgent fixes needed. |
| 21–40 | Weak | Some AI recognition but inconsistent. Appearing occasionally but not reliably. Major gaps in external authority. |
| 41–60 | Emerging | Solid foundation. Appearing in some category queries. External signals partially built. Room to grow. |
| 61–80 | Established | Strong AI visibility. Appearing reliably for brand and category queries. Good external authority. |
| 81–100 | Dominant | Category-leading AI visibility. Appearing across all query types on multiple AI engines. Strong entity signals on Wikipedia, Wikidata, press. |
Most brands audited for the first time score between 20 and 45. A score above 60 represents genuine AEO investment and execution.
What Moves Your AEO Score
Different actions produce different score improvements. Here's a realistic guide:
| Action | Estimated Score Impact | Time to Impact |
|---|---|---|
| Fix robots.txt (allow AI crawlers) | +5–10 pts | 2–4 weeks |
| Add Organization schema | +3–6 pts | Immediate (Perplexity) |
| Add FAQ schema to top 5 pages | +5–8 pts | 2–4 weeks |
| Create llms.txt | +2–4 pts | 2–4 weeks |
| Claim Google Knowledge Panel | +4–7 pts | 4–8 weeks |
| Complete Wikidata entry | +4–8 pts | 4–8 weeks |
| Accumulate 25+ G2/Capterra reviews | +5–8 pts | 1–3 months |
| First TechCrunch/Forbes mention | +6–10 pts | Varies |
| Wikipedia article created | +8–15 pts | 3–6 months |
| Active Reddit presence established | +4–8 pts | 3–6 months |
The fastest score improvements come from technical fixes. The largest score improvements come from external authority — which takes time to build.
AEO Score vs Domain Authority: Key Differences
Marketers familiar with Moz's Domain Authority (DA) or Ahrefs' Domain Rating (DR) will find AEO score familiar in concept but different in composition.
| Domain Authority (DA) | AEO Score | |
|---|---|---|
| What it measures | Link profile strength for Google | AI citation readiness across multiple engines |
| Primary input | Backlinks | Entity signals, structured data, community presence, live query results |
| Who uses it | SEO practitioners | AEO practitioners, brand marketers, agency teams |
| Update frequency | Monthly | Per-audit (weekly for tracked domains) |
| Score range | 0–100 | 0–100 |
| Predictive of | Google rankings | AI citation rate |
A brand can have a high DA and a low AEO score. This is common — strong link profiles don't automatically translate to Wikipedia presence, Reddit community, or AI-optimized content structure.
How Often Should You Check Your AEO Score?
For most brands: monthly. AEO is not a set-and-forget discipline. AI models update their training data, new competitors build their AEO signals, and your own content and external presence change over time.
Monthly scoring gives you:
- A trend line showing whether your AEO is improving
- Early warning if a competitor is pulling ahead
- Confirmation that specific actions produced the expected score improvement
Voxrank's Starter plan runs automated weekly rescans and tracks your score history so you can see the trend without manual effort.
Frequently Asked Questions
Is an AEO score standardized across tools?
No — not yet. AEO tooling is still early-stage, and different providers weight dimensions differently. Voxrank's scoring framework covers 32 metrics across 5 dimensions, weighted by measured impact on AI citation rates. When comparing scores across tools, understand what each tool is measuring before drawing conclusions.
Can I have a high AEO score and still not appear in AI answers?
Yes, if your category is highly competitive. An AEO score measures your signals relative to a maximum — not relative to competitors. A score of 75 in a category where the top brand scores 90 means you're still being out-cited. Voxrank's competitor tracking feature lets you see where you stand relative to the brands you're actually competing with for citations.
What's a realistic AEO score target for a 12-month-old SaaS company?
A well-executed AEO strategy over 12 months should put most SaaS brands in the 50–65 range — "Emerging" to "Established." Breaking 65 typically requires Wikipedia or significant press coverage, which takes time. A score of 40–50 in year one, with a clear upward trend, is a strong result.
Published in The Answer — Voxrank's publication on brand discovery in the AI era. Get your AEO score at voxrank.ai.