Why the average brand scores 31/100 and top brands 80+: reading an AI visibility report
The average brand we've measured scores 31 out of 100 on AI visibility. Top brands score 80+. The gap is not about budget or brand age. It's about what AI engines can find, parse, and cite when someone asks them a buying question. We build Be Recommended at Inithouse.
The article discusses the disparity in AI visibility scores among brands, highlighting that the average brand scores 31/100 while top brands score 80+. It explores the factors influencing AI visibility and introduces Be Recommended, an AI visibility tool developed by Inithouse.
What happened
The article presents an AI visibility report that evaluates how well brands are recognized and recommended by AI engines like ChatGPT, Perplexity, and others. It highlights the gap between average and top brands, attributing it to factors such as structured content, third-party mentions, and consistent naming. The report also introduces Be Recommended, a tool that helps brands analyze and improve their AI visibility.
Why it matters
For AI developers and marketers, understanding AI visibility is crucial for optimizing brand presence in search and recommendation systems. The insights provided help brands improve their visibility, which can impact customer discovery and engagement.
- Structured, factual content is essential for AI visibility.
- Third-party mentions and consistent naming improve recognition by AI engines.
- Perplexity and Claude have different visibility criteria, requiring tailored strategies.
- Only 11% of brands are cited by both major AI engines, highlighting the need for multi-engine optimization.
- Be Recommended provides actionable insights for improving AI visibility.
The bigger picture
The practical impact of the report is that brands can use the insights to improve their visibility in AI-driven recommendation systems, which can influence customer behavior and market positioning.
The article emphasizes the importance of AI visibility for brands and introduces Be Recommended as a tool to analyze and enhance visibility across different AI engines. It underscores the need for structured content, third-party mentions, and consistent branding to improve AI visibility scores.
Technical details
- AI visibility is measured using 50+ prompts that simulate real user queries.
- Each AI engine (e.g., ChatGPT, Perplexity) has distinct retrieval and citation preferences.
- Structured, factual content and third-party mentions are key to high visibility scores.
- Perplexity prioritizes fresh, crawlable content, while Claude relies on training data.
- The tool Be Recommended provides a composite score and per-engine breakdown for actionable insights.
FAQ
What is AI visibility?
AI visibility refers to how well a brand is recognized and recommended by AI engines like ChatGPT, Perplexity, and others, based on structured content and third-party mentions.
Why do top brands score higher in AI visibility?
Top brands score higher due to structured content, third-party mentions, and consistent naming, which help AI engines recognize and recommend them effectively.
What is Be Recommended?
Be Recommended is an AI visibility tool developed by Inithouse that scores how five AI engines recommend a brand and provides a prioritized action plan.
How do different AI engines affect visibility scores?
AI engines like Perplexity and Claude have different retrieval and training data preferences, leading to varied visibility scores for the same brand.
What factors influence AI visibility?
Factors influencing AI visibility include structured content, third-party mentions, consistent naming, and the recency of indexable citations.
This summary and analysis were generated with AI from the original article and may contain errors. Read the original for the full story.
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Originally published by Dev.to AI on Sep 29, 2026.
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