Most B2B Marketers Lack Strategy for AI Visibility, New Report Shows
Eighty-eight percent of vice presidents and chief marketing officers say their leadership is asking about AI visibility. Only 34% of B2B tech marketers have a defined strategy they feel ready to execute, according to a Corporate Ink report.
The gap reflects a broader problem: as generative AI answers increasingly determine how buyers discover and evaluate vendors, most marketers are unprepared to manage their presence in those results.
Where the Readiness Breaks Down
Limited internal expertise is the biggest barrier. Fifty-one percent of marketers cite insufficient knowledge of generative engine optimization as their top AI visibility challenge.
Other obstacles follow: 39% struggle with coordination across teams, 31% cannot measure success effectively, and 28% lack adequate tools or budget. Only 29% of marketers actively track and measure AI visibility at all.
The tracking problem runs deeper than resource constraints. There is no industry standard for monitoring AI visibility. Marketers instead patch together multiple tools and methods: 52.7% monitor traffic shifts in Google Analytics, 42.5% use social listening tools, 29.7% track brand mentions in AI Overviews, and 13.7% conduct manual spot-checks of search results.
Generative AI algorithms remain opaque. Results shift based on factors marketers cannot always see or understand, making it hard to know whether visibility efforts actually work.
What Marketers Should Do Now
Start with internal clarity. Assign responsibility for monitoring and improving how your brand appears in generative AI results. Education about AI for Marketing should be a near-term priority.
Strategy around Prompt Engineering matters. Identify the specific buyer-focused prompts you want to appear for, then create clear, authoritative, well-structured content designed to surface in those results.
Measurement will require multiple signals until the industry standardizes AI visibility tracking. Combine mention tracking, traffic analysis, and manual checks to build a fuller picture of performance.
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