An AI visibility score of 0 means no AI platform recommends you. A score of 100 means every platform does, for every relevant query. Most brands fall somewhere between 10 and 40, which means AI is recommending their competitors more often than not.
But the raw number isn't the full picture. What matters is what's behind the score, which platforms are including you, which aren't, and why. That's what this breakdown covers.
Score Ranges: What Each One Means
Your AI visibility score runs from 0 to 100. Here's what each range tells you about your brand's position.
| Score Range | What It Means | Action Required |
|---|---|---|
| 80-100 | Category leader. AI recommends you consistently across platforms and queries. | Maintain and defend. Monitor competitors. |
| 60-79 | Strong presence. You show up on most platforms but may have gaps on specific queries. | Fill the gaps. Target missing platforms and queries. |
| 40-59 | Partial visibility. Some platforms mention you, others don't. Inconsistent. | Focused improvement. Build authority on weaker platforms. |
| 20-39 | Low visibility. AI occasionally mentions you but competitors dominate. | Significant effort needed. Start with foundational content and community presence. |
| 0-19 | Invisible. AI doesn't recommend you at all. | Start from scratch. You need brand authority before AI will notice you. |
Here's context that matters: the average brand in a competitive category scores somewhere around 25-35. So if you're at 30, you're not terrible. You're average. And average means AI is sending most of the recommendations to your competitors.
Category leaders (the brands AI recommends first and most often) typically score 70-90. Nobody scores a perfect 100. Getting there would mean showing up in every query, on every platform, every time. That doesn't happen.
Platform-by-Platform Analysis
Your overall score is an aggregate. The real insights come from breaking it down by platform, because each AI system behaves differently and your brand's strength varies across them.
When you run the free AI visibility scan, you'll see per-platform results. Here's how to read them.
ChatGPT: If you score well here, your brand has strong overall web authority. ChatGPT pulls from its training data plus real-time browsing, so it reflects both historical brand presence and current content. A weak ChatGPT score usually means your brand lacks discussion in the places AI models train on (Reddit, major publications, YouTube).
Perplexity: Perplexity scores reflect your real-time content strength. It uses live web search, so fresh, well-structured comparison content performs well here. If your Perplexity score is high but ChatGPT is low, you have good content but weak historical authority.
Gemini / Google AI Overviews: This reflects how Google's AI interprets your brand. It overlaps with traditional SEO signals more than other platforms, but it's still a separate system. Strong Gemini scores correlate with structured data, authoritative backlinks, and category-relevant content.
Claude: Claude has no live search, so its recommendations come purely from training data. A strong Claude score means your brand has deep, established web authority. This is the hardest platform to influence quickly but the most telling indicator of genuine brand strength.
See your score breakdown across every platform
True Margin's free AI visibility scanner shows your overall score plus per-platform results across ChatGPT, Gemini, Perplexity, Claude, and more.
Get Your AI Visibility Score →The 5 Biggest Factors That Affect Your Score
After analyzing thousands of brand scans, these are the factors that move the needle most. Ordered by impact.
1. Community Mentions (Reddit, Forums, Hacker News)
This is the single biggest factor. AI systems train on community data, and Reddit in particular has licensing deals with both Google and OpenAI. When real people discuss your brand in relevant threads, AI models pick it up.
Brands with zero Reddit presence almost always score below 20. That's not a coincidence.
2. Third-Party Reviews and Coverage
Review sites (G2, Capterra, Trustpilot), YouTube reviews, and press coverage all signal brand credibility. AI systems don't just read your website. They read what other people say about you. And they weight third-party voices higher than first-party claims.
I think most brands underinvest here. They spend thousands on their own content and zero effort getting covered by others. Flip that ratio.
3. Structured Content and Data
Schema.org markup, clear product descriptions, feature pages, pricing pages, and comparison content. AI systems parse structured content more accurately than walls of text. If your product page is a single long paragraph with no headings, tables, or schema markup, AI will struggle to extract recommendation-worthy information from it.
4. Content Freshness and Volume
AI platforms (especially Perplexity and Gemini) favor recent content. A blog post from 2023 carries less weight than one from last month. Brands that publish regularly and update their content score higher because AI sees them as active and current.
5. Brand Consistency Across the Web
If your brand name, product descriptions, and feature claims are consistent across your website, review profiles, social media, and community mentions, AI systems have an easier time building a coherent picture of what you do. Inconsistency confuses AI models, and confused models don't recommend.
How to Improve Your Score: Actionable Steps
Knowing your score is step one. Improving it is step two. Here's the priority order based on what drives the fastest improvement.
| Action | Expected Score Impact | Time to Effect |
|---|---|---|
| Add schema markup to product pages | +5-10 points | 2-4 weeks |
| Create 3-5 comparison articles | +5-15 points | 4-8 weeks |
| Build active Reddit presence | +10-20 points | 2-4 months |
| Get 50+ reviews on G2/Trustpilot | +5-15 points | 2-6 months |
| Publish weekly category content | +5-10 points | 1-3 months |
| Fix outdated brand info across the web | +3-8 points | 4-8 weeks |
Quick math: if you're scoring 25 right now and you do everything on that list, you could realistically reach 55-70 within 3-6 months. That's the difference between being invisible and being in the top 3 recommendations for your category.
Start by running the free scan to get your baseline. Then tackle the items in order, starting with structured data (lowest effort, fastest result) and working up to community presence (highest effort, biggest payoff).
Honestly, most brands stall because they try to do everything at once. Pick two things from the table. Do them well. Rescan in 30 days. Then pick two more. That's how scores go up.
Frequently Asked Questions
What is a good AI visibility score?
A score of 60+ means you're showing up consistently. Scores between 40-59 mean partial visibility with gaps. Below 40 means most AI systems aren't recommending you. Category leaders score 70-90. The average brand scores 25-35.
How is the AI visibility score calculated?
It's based on how frequently AI platforms mention your brand for relevant queries, your position in recommendation lists, the accuracy of AI's information about you, and coverage across multiple platforms. The free scanner checks all of this automatically.
Can my AI visibility score change quickly?
Some factors move fast. Structured data fixes and new comparison content can show results in weeks. Building Reddit presence and collecting reviews takes months. Most brands see meaningful improvement within 2-4 months of focused effort.
Why is my score different on each AI platform?
Each platform draws from different sources and weights signals differently. ChatGPT relies on training data, Perplexity uses real-time search, Gemini integrates with Google's index. Your strength varies depending on where your authority signals live.
Does Google SEO affect my AI visibility score?
Indirectly. The same content and authority signals help both, but they're measured differently. BrightEdge found 88% of AI-cited URLs don't rank in Google's top 10. Strong SEO alone won't guarantee a high AI visibility score.