Observed Signal · Dec 1, 2025 · Podcast Episode · Source: AdExchanger · Impact: 3/5 · Sentiment: Neutral
Boost Your Brand's Visibility in AI Search Today!
In a recent AdExchanger Talks episode, Tracy Morrissey, SVP of Media & Performance at Innocean USA, explains how brands can gain visibility in AI-generated search. She warns that you cannot simply bid your way to the top of large-language models; success hinges on creating content that directly answers real questions and on understanding how prompts indicate user intent. Brands should publish information on trusted sources—Wikipedia, retailer sites, and a brand’s own site—and verify origins by tracing sources used by AI. The episode notes firms that measure how often brands appear in AI search results, including Profound, Bluefish, and Semrush; it also notes Semrush was acquired by Adobe for $1.9B a week after recording. Morrissey discusses AI tool fragmentation, the need for better orchestration, the enduring value of human guidance in media planning, and a personal note about how dog training influenced her leadership.
Covers AI search strategy implications and a major acquisition (Semrush by Adobe); relevant to industry dynamics but not a platform release or earnings report.
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Key Takeaways & Evidence Grounding
- Episode features Tracy Morrissey, SVP, Media & Performance at Innocean USA.
- You can't buy your way to the top of a large-language model; success requires content and understanding prompts.
- Brands should create content that answers real questions and rely on prompt indicators of interest.
- Content should appear on trusted sources (Wikipedia, retailer sites, brand websites) with sources verified by users.
- Profound, Bluefish, and Semrush measure how/where brands are referenced in AI-generated search answers; Semrush was acquired by Adobe for $1.9 billion a week after recording.
Connected Companies & Entities
1 Entity mappedRelated Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Relevance Trumps Reach in AI-Driven Search
A MarTech article (Apr 24, 2026) argues that AI-driven search and synthesized answers (e.g., Google AI Overviews) are changing the buyer journey: many buyers receive aggregated AI answers before clicking through to brands. The piece advises brands to prioritize relevance—being present in AI answers, credible in peer networks, and visible early in decision moments—over broad reach. Recommendations include publishing modular, HTML-accessible content with clear authorship (subject-matter experts), avoiding gated PDFs, and measuring influence with new metrics such as "share of answers", "shortlist presence", community mentions, and confidence signals. The article notes Semrush owns MarTech and references Semrush’s AI Visibility Toolkit as a way to baseline AI visibility.
Master AI Search: Join Our Free MarTech Conference!
A MarTech Conference panel, moderated by Janet Driscoll Miller of Marketing Mojo, urged marketers to adapt SEO and visibility strategies for an AI-driven search landscape. Panelists — including Sara Resnick (Western Union), Gerald Murphy (Semrush Enterprise), Nikki Lam (NP Digital), and Tamara Scott (Overqualified LLC) — recommended tactics such as targeting "brand + modifier" queries, broadening visibility across platforms (TikTok, Reddit, YouTube), and adopting "Search Everywhere Optimization." They argued AI-driven visits can yield higher-intent leads, and stressed clarity in content (explicitly stating what a brand does and does not do) to prevent AI hallucinations. The panel emphasized off-site signals (forums, reviews, niche publications) and original thought leadership as essential assets for guiding AI agents and maintaining brand authority.
Rethinking Marketing Metrics in the AI Search Era
AI-powered search and assistant summaries are changing how users discover brands by answering queries without driving clicks to websites. Studies from Pew Research and SparkToro show growing reliance on summaries and an increase in searches that end without a click. Brands can gain mental recall through AI responses even when no page view is recorded, creating a gap between analytics and real-world exposure. This trend forces marketers to rethink visibility, shift measurement from click-based attribution toward brand-lift surveys, branded query trends and direct-traffic patterns, and emphasise clear, well-structured source content that AI systems draw from. Teams must provide contextual interpretation of metrics and adapt storytelling for stakeholders while measurement tools evolve.
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