What Is AI Visibility?
AI visibility measures how often a brand is referenced by AI platforms such as ChatGPT, Claude, Google AI Overviews, or Perplexity. Monitoring this can reveal shifts in authority and relevance, as seen in the shift where Tesla's dominance is now challenged by BYD, while Lucid and Rivian remain less visible.
Implications for Digital Marketing
The way customers find and interact with brands is changing. AI engines answer basic questions directly. This reduces the number of site visitors, but those who do arrive tend to be further along in their decision process. Attribution has become more complex: AI-driven traffic and awareness don’t appear in conventional analytics. Personalized recommendations from AI platforms introduce brands to specific audience segments, offering targeting capabilities that traditional search cannot match. Some brands may see fewer side-by-side comparisons, as AI often presents only its top choice.
Digital marketers must now extend their approach. Ranking in search is still valuable, but building authority through earned media and cultivating third-party citations on trusted sources has become just as important. This trend has led to the practice of Generative Engine Optimization (GEO)—focusing on appearing in AI recommendations.
How AI Changes Search Behavior
Users interact with AI search tools conversationally, often asking nuanced questions or requesting recommendations tailored to their situation. Simple queries get instant answers; deeper questions about purchases, health, or major decisions still drive users to traditional web pages for further trust-building. Brands must recognize that the quality and format of content determines whether it gets surfaced by AI.
Key AI Platforms Driving Traffic
ChatGPT leads in driving AI search traffic, currently accounting for 0.21% of total site visits. Perplexity is rising, contributing about 0.02% of traffic. Google’s AI Overviews is appearing on nearly 10% of desktop searches and up to 16% in the U.S, primarily for informational queries. Although AI Overviews boosts impressions, it reduces click-through rates by roughly 34.5%.
How AI Sources Information
AI engines blend historical training data with real-time search. Established brands, well-represented in historical data, receive frequent mentions. Newer brands can compete by optimizing recent content. It’s wise to test top search terms and observe which AI platforms reference your brand, product, or service. Variations in AI responses mean regular testing is required to capture a true picture of your visibility.
Tracking and Analytics Challenges
Traditional metrics (clicks, rankings, impressions) do not reveal the full impact of AI search. Visitors arriving via AI behave differently; data shows they stay longer and are more likely to convert, indicating higher intent.
Manual tracking is inefficient and incomplete. AI mention and citation gaps—queries where competitors’ brands or content are mentioned but yours is absent—can reveal opportunities for PR outreach or content development.
Platforms like Brand Radar automate tracking across platforms and queries, surfacing both known and previously hidden areas for improvement. Key metrics include AI mentions, impressions (weighted by search volume), and AI share of voice relative to competitors.
Strategies for Improving AI Visibility
- Get featured on high-authority third-party sites (industry lists, rankings, trade media, review platforms). AI engines value external validation over self-promotion.
- Focus on content types favored by AI: “best” lists, “vs” comparisons, how-to guides, product/service pages, data/research studies, and FAQ content. AI tools value fresh, factual material over marketing jargon.
- Keep foundational website pages (homepage, product pages, tools) clear and direct. Structured formatting, explicit value propositions, and simple language support better AI citations. Add schema markup for FAQ/product content. Confirm AI bots aren’t blocked by technical settings.
- Publish on user-generated content platforms cited frequently by AI. YouTube and Reddit are top choices, especially for product discovery and reviews.
Discovering AI Mention and Citation Gaps
Use AI tracking tools to identify where your brand is absent but competitors are present. These gaps mark priority areas for content and PR targeting. Analyze the types of content and domains AI platforms cite, then develop assets that address those queries with superior quality and authority.
Final Perspective
AI search builds on existing marketing efforts—content, PR, SEO, and brand management. Brands that act early in testing and optimizing for AI platforms stand to benefit as this channel becomes a core part of digital strategy. Refine your benchmarks to include AI mentions and citations, not just clicks, and update best practices across teams to reflect these shifts in customer behavior and referral sources.