AI Visibility Score Explained: What It Is and How to Improve Yours
What is an AI visibility score? How it's calculated, what a good score looks like, and the fastest ways to improve your brand's score in ChatGPT and Perplexity.
An AI visibility score is a number — typically 0 to 100 — that measures how prominently your brand appears in AI-generated search answers. It turns a fuzzy question ("do AI engines mention us?") into a trackable metric.
This guide explains how AI visibility scores are calculated, what different score ranges mean, and the fastest paths to improving yours.
What an AI Visibility Score Measures
When someone asks ChatGPT or Perplexity "what's the best [category] tool?" — your AI visibility score reflects how likely you are to appear in that answer, how prominently, and with what sentiment.
A score of 0 means: AI engines never mention your brand across the queries tested. A score of 100 means: AI engines mention your brand positively and in top position, consistently, across all tested queries.
No brand should expect a perfect 100. Even category leaders like Salesforce or Notion don't score 100 because AI responses vary and no brand appears in every possible relevant query.
How AIRanked Calculates the Visibility Score
AIRanked uses a weighted scoring system across four dimensions:
Dimension 1: Mention Rate (0-40 points)
The foundation of the score. Are you mentioned at all?
| Scenario | Points |
|---|---|
| Mentioned as recommended choice in 3/3 engines | 40 |
| Mentioned as recommended in 2/3 engines | 30 |
| Mentioned as recommended in 1/3 engines | 20 |
| Mentioned (not recommended) in multiple engines | 10-15 |
| Mentioned in 1 engine only | 5-10 |
| Not mentioned at all | 0 |
Why this is the highest-weighted dimension: Being mentioned is the prerequisite for everything else. An unmentioned brand has zero chance of influencing a buyer who uses AI for research.
Dimension 2: Position Score (0-25 points)
When you're mentioned, where? A brand mentioned 5th in a list of recommendations is far less valuable than the same brand mentioned 1st.
| Position | Points |
|---|---|
| First recommendation | 25 |
| Second recommendation | 20 |
| Third recommendation | 15 |
| Fourth recommendation | 10 |
| Fifth or later | 5 |
Why position matters: Users read AI answers top-down and often stop after the first 2-3 recommendations. Being mentioned 6th is nearly equivalent to not being mentioned.
Dimension 3: Sentiment Score (0-20 points)
Mention type and the surrounding language matter. AI engines often frame recommendations with context: "Brand X is great for [use case]" vs. "Brand X has been criticized for [issue]."
| Sentiment | Points |
|---|---|
| Positively recommended across all mentions | 20 |
| Mostly positive with some neutral | 15 |
| Mixed sentiment | 10 |
| Mostly neutral | 5 |
| Negative mentions present | 0-2 |
Note: A negative mention is worse than no mention in some cases. If ChatGPT says "Brand X exists but has poor customer support," that actively damages brand perception.
Dimension 4: Consistency Score (0-15 points)
AI responses are probabilistic — the same query can produce different answers on different runs. AIRanked runs each query twice per engine and compares the results.
| Consistency | Points |
|---|---|
| Consistent across all engines, both runs | 15 |
| Mostly consistent (minor variation) | 10 |
| Inconsistent in 1-2 engines | 5 |
| Highly inconsistent — appears sometimes, not others | 0-2 |
Why consistency matters: A brand that appears in 1/2 runs is in a volatile position. One algorithm update or data refresh could remove them entirely. Consistency signals stable authority.
Score Interpretation Guide
| Score Range | What It Means | Priority Action |
|---|---|---|
| 0-20 | Near-invisible — AI has minimal data to cite you | Build third-party presence (reviews, community) immediately |
| 21-40 | Emerging — mentioned rarely, often not recommended | Increase review count + publish comparison content |
| 41-60 | Developing — present but inconsistent or low-position | Focus on consistency: Reddit seeding, media coverage |
| 61-75 | Established — regularly mentioned, competitive position | Expand to more queries; address accuracy gaps |
| 76-90 | Strong — top-of-category visibility | Maintain + defend against rising competitors |
| 91-100 | Category dominant — mentioned first across most queries | Monitor and protect; expand to adjacent categories |
Most brands starting GEO for the first time score between 15 and 40. A focused 90-day campaign typically moves a brand up 20-30 points.
Benchmarks by Company Stage
| Stage | Typical Score | What's Achievable in 90 Days |
|---|---|---|
| Pre-launch | 0-5 | 5-15 |
| Early-stage (<2 yrs, <100 customers) | 5-25 | 20-40 |
| Growing (2-5 yrs, 100-1K customers) | 20-45 | 40-60 |
| Established (5+ yrs, 1K+ customers) | 40-70 | 55-75 |
| Category leader | 70-90 | Maintain + defend |
These benchmarks assume the company has taken no deliberate GEO action. Companies that have been actively building G2 presence and community citations often start higher.
What Moves the Score Fastest
Not all tactics affect all dimensions equally. Here's a prioritized view:
| Tactic | Mention Rate | Position | Sentiment | Consistency | Timeline |
|---|---|---|---|---|---|
| G2 reviews (25+) | ↑↑↑ | ↑↑ | ↑ | ↑↑ | 30-60 days |
| Reddit community seeding | ↑↑ | ↑ | ↑ | ↑↑ | 30-90 days |
| Comparison page content | ↑↑ | ↑↑ | ↑ | ↑ | 60-90 days |
| Media/press coverage | ↑↑ | ↑↑ | ↑↑ | ↑↑ | 60-120 days |
| llms.txt file | ↑ | ↑ | ↑ | ↑ | Immediate |
| FAQ Schema markup | ↑ | ↑ | ↑ | ↑ | 1-2 weeks |
| Brand fact consistency audit | ↑ | ↑ | ↑↑ | ↑↑ | 1-2 weeks |
Quickest wins for low-score brands (0-30):
- G2 review campaign — largest single impact
- llms.txt — 30 minutes of work, immediate
Quickest wins for mid-score brands (31-60):
- Comparison and alternative content pages
- Reddit community presence (if not already established)
For high-score brands (61+):
- Accuracy audit — what is AI saying incorrectly?
- Consistency improvement — why do you appear in run 1 but not run 2?
- Expand query coverage — you're visible in category queries; now target comparison and use-case queries
Score vs. Competitor Score: What Matters More
Your absolute score matters less than your score relative to direct competitors.
A score of 45 in a category where competitors average 30 is a strong position. A score of 45 in a category where the leader scores 80 is a weak position.
AIRanked includes competitor scoring in every visibility check. You can see how your brand compares against the brands AI most frequently mentions alongside yours.
The metric to watch: "AI Share of Voice" — the percentage of total competitor mentions where your brand is the one recommended. If AI mentions 5 brands per category query and you're mentioned in 3/5 queries, your AI SoV is 60%.
How Often to Check Your Score
| Situation | Recommended Frequency |
|---|---|
| Initial setup (first 30 days of GEO activity) | Weekly |
| Active GEO campaign (ongoing tactics) | Every 2 weeks |
| Maintenance mode (score >60, stable) | Monthly |
| After major event (press launch, G2 campaign) | Within 2 weeks of event |
| Competitor monitoring | Monthly |
Checking more often than weekly is rarely useful — AI training data doesn't refresh that quickly, and Perplexity's index takes time to incorporate new content.
Why Your Score Might Drop
A score drop isn't always caused by something you did wrong. Common causes:
1. Competitor surged A competitor ran a G2 campaign and now outranks you in reviews. AI shifted its citation pattern.
2. Negative review activity A cluster of negative G2 reviews changed your average — AI picked up the sentiment shift.
3. AI model update ChatGPT and Perplexity update their models periodically. Model updates can shift citation patterns and preference across brands.
4. Source changed A publication that was frequently citing your brand removed or updated an article. The citation dropped.
5. Competitor press coverage A competitor got featured in a major publication. AI training or live search now preferentially cites them.
If your score drops, AIRanked's source influence report is the fastest way to diagnose why. Compare your current cited sources vs. last month — the change often reveals the cause.
FAQ
Is an AI visibility score the same as a domain authority score?
No. Domain authority (DA) measures backlink profile strength for SEO. AI visibility score measures how often and how prominently AI engines mention your brand in conversational answers. They're different metrics for different channels, though they correlate loosely (strong DA tends to support higher AI visibility).
Can I game the AI visibility score?
In theory, you could artificially inflate the score by running queries yourself and training your brain to see your brand where it's barely mentioned. AIRanked mitigates this by running 2x sampling per engine and using consistent, pre-defined queries — not user-selected queries. In practice, the real game to "play" is building genuine authority signals: reviews, media, community.
Does AI visibility score correlate with actual revenue?
Directionally yes, but the correlation is indirect. Higher AI visibility → more brand mentions in AI answers → higher consideration rate in the research phase → more trials/demos → more revenue. The clearest signal is tracking branded search volume (Google) alongside AI visibility score — brands that improve their AI score typically see correlated branded search growth.
What's a good AI visibility score for a new company?
For a brand under 6 months old: 10-20 is acceptable and normal. For a 1-year-old company: target 25-35. Under 25 at the 1-year mark suggests untapped GEO opportunity.
Does the score change if I test different queries?
Yes. Your visibility score depends on which queries are tested. AIRanked uses a standard set of queries relevant to your brand and category — but if you add new queries, your score may shift up or down depending on whether you're visible for those terms.
Check Your Score
If you haven't measured your AI visibility yet, that's the first step. Understanding your current score — across mention rate, position, sentiment, and consistency — tells you exactly where to focus.
Get your free AI Visibility Score →
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