The State of AI Visibility in 2026
AI visibility has moved from an emerging metric to a boardroom priority. As more buyers use AI assistants for product discovery, the brands that appear in AI-generated answers capture a growing share of consideration and revenue.
sig.ai tracks AI visibility scores for thousands of brands across 64+ industries. Here's what the data reveals about where brands stand in 2026 and what "good" looks like.
Understanding AI Visibility Scores
AI visibility scores on the sig.ai platform range from 0 to 100 and measure how frequently, prominently, and positively a brand is recommended by AI assistants across ChatGPT, Gemini, Claude, Perplexity, and Grok.
Score ranges:
- 80-100 (Grade A): Category leaders that are consistently recommended as top choices. These brands appear in the majority of relevant AI queries and are typically named first.
- 60-79 (Grade B): Strong contenders that appear regularly in AI recommendations but may not be the first brand named. Often recommended for specific use cases rather than as the overall leader.
- 40-59 (Grade C): Moderate visibility. The brand is known to AI models but is not consistently recommended. Often mentioned as an alternative rather than a primary recommendation.
- Below 40 (Grade D): Low visibility. The brand is rarely or never mentioned in AI-generated answers for its category. Significant opportunity exists for improvement.
Benchmarks by Industry
Technology and SaaS
Technology brands generally have the highest AI visibility scores due to the volume of technical content, reviews, and discussions available in AI training data.
Leaders (Score 80+): Established enterprise players with extensive review profiles, analyst coverage, and technical documentation consistently score above 80. Think of brands with thousands of G2 reviews, regular Gartner mentions, and active developer communities.
Average score: 52. The tech sector has the widest distribution, with leaders scoring 90+ and emerging startups scoring below 20.
Key insight: In tech, the gap between the category leader and the fifth-ranked brand is often 30+ points. AI models strongly favor the top two to three brands in each category.
Financial Services
Financial services brands have moderate AI visibility, influenced by regulatory content, trust signals, and the conservative nature of financial media coverage.
Leaders (Score 70+): Major banks, fintech innovators, and established investment platforms score well due to extensive media coverage and strong brand recognition.
Average score: 44. Financial brands often score well on ChatGPT and Gemini but lower on Perplexity, which weights recent coverage more heavily.
Key insight: Fintech disruptors are gaining ground rapidly. Several have improved their scores by 15+ points in six months through aggressive content and PR strategies.
Healthcare and Life Sciences
Healthcare brands face unique GEO challenges due to regulatory restrictions on marketing claims and the cautious approach AI models take with health-related recommendations.
Leaders (Score 65+): Health tech platforms, telemedicine providers, and wellness brands with strong consumer presence score highest.
Average score: 38. AI models are notably cautious in healthcare recommendations, often adding disclaimers rather than making strong brand endorsements.
Key insight: Healthcare brands that provide educational content and earn citations in medical publications see the strongest AI visibility improvements.
E-Commerce and Retail
E-commerce brands benefit from abundant review data and comparison content but face intense competition for AI visibility.
Leaders (Score 75+): Major marketplaces and DTC brands with strong review profiles and media presence dominate AI recommendations.
Average score: 46. The mid-tier is crowded, with many brands scoring between 35 and 55.
Key insight: DTC brands that invest in editorial coverage and influencer partnerships see faster AI visibility gains than those relying solely on their own content.
Professional Services
Professional services (consulting, legal tech, accounting platforms) have lower average scores due to less review content and more relationship-driven buying processes.
Leaders (Score 60+): Platforms that have productized their services and built strong online presence score best.
Average score: 34. Many professional services firms have minimal AI visibility despite strong reputations in their markets.
Key insight: This category has the largest untapped opportunity. Firms that invest in GEO now face less competition than in tech or e-commerce.
Cross-Platform Variations
One of the most striking findings is how much AI visibility varies across platforms for the same brand.
ChatGPT tends to favor established market leaders with broad brand recognition. Brands strong in ChatGPT typically have extensive Wikipedia entries, major media coverage, and large review volumes.
Gemini tends to favor brands with strong structured data and Google ecosystem presence. Brands that perform well in Google Search often perform well in Gemini, though the correlation is not perfect.
Claude tends to provide more balanced recommendations, often naming three to five brands where ChatGPT might name one or two. This means more brands have moderate Claude visibility, but fewer achieve dominant positions.
Perplexity heavily weights recent content. Brands with strong recent media coverage and fresh review data score disproportionately well on Perplexity compared to other platforms.
Grok incorporates social media signals. Brands with active, positive social media presence — particularly on X — tend to score higher on Grok.
What the Best-Performing Brands Do Differently
Analyzing the top 10% of brands by AI visibility score reveals consistent patterns:
- Multi-source presence. Top brands appear across review sites, media publications, community forums, and their own content. They are not dependent on a single source.
- Consistent messaging. Their core value proposition appears consistently across all channels. There is no ambiguity about what they do and why they're the best at it.
- Active monitoring. Top brands track their AI visibility weekly and respond to changes quickly. They treat AI visibility as a real-time metric, not a quarterly report.
- Content velocity. They publish frequently, update existing content regularly, and ensure their web presence reflects current capabilities and positioning.
- Cross-platform strategy. Rather than optimizing for a single AI platform, they maintain strong presence across all five major generative engines.
How to Use These Benchmarks
Start by measuring your own score on sig.ai and comparing it to your industry average. If you're below average, the strategies outlined in our companion article on improving AI visibility provide a roadmap for improvement. If you're above average, focus on widening the gap between you and your closest competitors.
The brands that establish strong AI visibility positions in 2026 will benefit from a compounding advantage as AI-mediated discovery becomes the primary way buyers evaluate products and services.