Observed Signal · Dec 9, 2025 · Report · Source: State of Streaming · Impact: 4/5 · Sentiment: Negative
Comscore: AI Habit Is Disrupting Search and Ads
Comscore's 2025 AI Intelligence Report finds generative AI has moved into daily use for a large share of U.S. consumers, changing how people search and discover brands. The report cites AI assistants reaching 36% of desktop users and 24% of mobile users, and says over 30% of Google desktop searches now include an "AI Overview," reducing direct click traffic to publishers. Comscore also reports nearly two‑thirds of hotel bookers consult an AI platform before purchase, signaling shifts in discovery and attribution. Comscore positions itself as a measurement currency for the AI era, pursuing automation and partnerships to serve marketers adapting media plans and measurement to AI-driven consumer journeys.
Comscore's data quantifies widespread generative AI adoption and documents structural changes to search results and discovery that can materially affect publisher traffic, search monetization, advertiser attribution and measurement — prompting industry-wide strategic shifts.
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Key Takeaways & Evidence Grounding
- Comscore published the "2025 AI Intelligence Report" on generative AI adoption and influence.
- AI assistants reportedly reach 36% of desktop users and 24% of mobile users in the U.S.
- Over 30% of Google desktop searches now feature an "AI Overview," per the report.
- Nearly two‑thirds of hotel bookers visit an AI platform before making a purchase, according to Comscore's findings.
- Comscore is positioning itself as the measurement "currency" for the AI era and is pursuing partnerships and automation.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Comscore Measures Performance Impact of AI Chat Advertising
Comscore has expanded its AI Intelligence suite to measure sponsored placements within AI-powered chat interfaces, linking them to downstream user behavior for attribution. The company reports that sponsored ads appeared in 24% of hotel-related ChatGPT queries by May 2026, up from 6% in March. This development addresses the challenge of measuring advertising effectiveness in conversational AI, where traditional click-through metrics may be insufficient. The move comes as OpenAI's advertising business reportedly reached an annualized revenue run rate of $1 billion. Comscore's approach involves tracking prompt-response pairs, cited domains, and subsequent website visits to assess business impact. The initiative highlights the growing importance of AI chat as an advertising channel and the need for new measurement standards.
AI Becomes Billion-Dollar Consumer Market, Says Sensor Tower
Sensor Tower’s “State of AI 2026” report finds generative-AI app usage and consumer spending surged in the first half of 2026. Global time spent in GenAI apps more than doubled year‑over‑year to 36 billion hours while consumer app spend reached about $4 billion. ChatGPT hit 1 billion monthly active users and averaged 215 minutes per user per month, but its cross‑platform True Audience share fell below 50% in March 2026 as competitors gain ground. Google Gemini and Anthropic’s Claude posted rapid engagement growth (Gemini: ~14 → ~100 minutes/month; Claude: ~40 → ~120 minutes/month; Claude reach +452% YoY, U.S. share ~4.4% → ~14%). More than 200,000 apps now advertise AI features (nearly 10 billion downloads H1 2026), AI-related digital ad spend was ~$1.3 billion in Q1, and retailers see measurable referral traffic and conversion gains from AI assistants (examples: Amazon’s Rufus, Walmart’s Sparky).
Generative AI to Become New Discovery Layer in E-Commerce
A report by Similarweb indicates that generative AI is increasingly influencing online purchase decisions, appearing in over 11% of shopping journeys prior to transactions, up from under 5% two years ago. However, traditional search remains crucial, with 89% of AI-influenced journeys also using search engines. AI is primarily used in early stages for problem definition and product comparison, while search is relied upon for specific product checks. This creates challenges in attribution, as last-click models often misattribute AI-driven conversions to search or direct traffic. Retailers must now optimize for visibility across multiple digital layers, including AI-generated answers and on-platform shopping assistants like Amazon's, and ensure structured product data to enhance AI recommendations.
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