AI Visibility, GEO and AEO

• Shopify's ChatGPT citation mix, led by G2 at 1,124 citations and Capterra at 808, positioned as evidence of a small Citation Core of trusted third-party sources outweighing a brand's own site
• Google AI Overviews and Gemini citation rates, 64 percent versus 30 percent, framed as proof that shared infrastructure does not mean shared rules
• Four AI platforms positioned as four separate discovery mechanics, ChatGPT rewarding Wikipedia and Reddit credibility, Gemini tracking Google Shopping presence, Google AI Mode weighting Yelp and Business Profile signals, and AI Overviews leaning on YouTube
• Australian AI adoption data, ChatGPT reaching 45 percent of the population against Claude's 2.9 million local users, highlighted as evidence that visibility benchmarks are still borrowed from American behavior
• A five-axis test across 32 Australian insurance queries, presence, slot, coverage, liability, and door, positioned as a stronger diagnostic than any single averaged visibility score
• Google's new Search Console AI reports framed as the first first-party window into AI Overviews and AI Mode impressions
• Self-serve ChatGPT ads at a 25 dollar daily minimum positioned as an open lane for B2B advertisers still absent from a consumer-dominated auction

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AI-Native GTM and Outbound

• A 40-plus signal AI GTM agent positioned as a replacement for the six-tool manual outbound stack
• A four-prompt SDR workflow, scaled across 275-plus B2B companies to 7.83 million dollars in pipeline, framed as evidence that research and list-building are now agent work
• Pre-event scoring of 1,300 attendees into 119 targets, 48 extended, 312 ecosystem, and 815 skips positioned as proof that qualification belongs before the conversation, not after
• B2B data decay of roughly 30 percent a year and a 95 percent enterprise AI pilot failure rate framed as evidence that inputs, not models, are the actual bottleneck
• 87 percent AI adoption against buyers initiating 80 percent of first conversations themselves highlighted as a mismatch between automation effort and where deals are actually decided
• Owner.com's growth from 2 million to nearly 100 million dollars in ARR under four years positioned as the reference case for AI-native GTM built on org change ahead of tooling

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Marketing Organization and Transformation

• Backbase's manual ABM pilot, six discovery calls from a 60 to 70 percent cold segment inside eight weeks, framed as the proof required before automating rather than after
• An in-house signal engine covering 3,000 accounts at 3 to 4 thousand dollars a month positioned as owned infrastructure over a rented ABM platform
• Daxko's 80-plus AI agents framed as the output of a dedicated center of excellence, not a side project layered onto standing teams
• Gartner's 2028 projection of 60 percent agentic one-to-one adoption positioned as the end of channel-based marketing structures
• ServiceNow's ninefold jump in production agentic AI customers framed as a governance story ahead of a deployment-speed story
• Fragmented, individual AI adoption highlighted as the single largest tax on B2B marketing and sales ROI
• Data quality and workflow context positioned as the new leverage, replacing domain authority as the variable separating output from the same model and prompt

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AI Tools, Skills and Content Workflows

Thanks to Andrew Warden, Alexandra London, Rochelle Tognetti, Anil Chakravarthy, Bec Penn, Arun Prasad, Nirar Punj, Bill Stathopoulos, Shabbir Mohsin, Alex Vacca, Vladimir Blagojević, Ryan Staley, Steve Armenti, Maja Voje, Andrei Zinkevich, Jon Miller, Carolyn Healey, Alex Azzopardi, Oren Greenberg, Kieran Flanagan, Abhishek Jha, Zohe Mustafa, Anna York, Connor Gillivan, Emilia Möller and Jessica Aries, and everyone else who contributed insights to this edition, find the full list of posts and voices on LinkedIn: [edition link placeholder]