Cletus McKeown, Bridge's growth and marketing SVP, says only social proof and case studies cut through the AI content glut.
Bridge built an agentic search ecosystem and produces close to 300 articles a month, ranking first on most search terms that matter.
Bridge built its own intent-signal system from about 75 daily scraped signals, feeding sales before automated outreach.
With AI content everywhere, social proof is what sells
Bridge lends to hotel developers and the brands sold through Walmart, a regulated business where McKeown writes for CFOs. He runs growth on the bet that AI has made content infinite, so what persuades is proof of past wins and a clear point of view. The response was to compete in agentic search rather than traditional SEO and to build an AI content pipeline a two-person team can run.
Takeaways
Social proof is what buyers still believe. With so much AI-generated content in the market, McKeown argues the only thing people really believe is social proof, the case studies showing wins, and the rest is noise. Traditional newsletters and proof work best for Bridge .
Bridge lends to hotels and Walmart suppliers. Bridge is the financing partner for Hilton and Marriott and works with Walmart and the brands sold through it, funding companies that need debt to grow. Lending is mainly US-based, with some in the Caribbean .
Bridge bet on agentic search over SEO. Bridge was never going to beat Citibank in traditional SEO, so McKeown built an ecosystem that ranks first on most of the search terms that matter. Agentic results return links rather than brand mentions, which makes attribution easy .
AI now writes, ships and amplifies content. Bridge's site runs on a GitHub repository of brand guidelines, with Cursor generating versions he tweaks and pushes live on Vercel. One centerpiece feeds several channels, a founder's insights can become six articles, and he publishes close to 300 articles a month .
A brand needs an opinion, not ubiquity. Daniel Tosh told him that if no one is offended, what is the point, and McKeown applies that to marketing. Without a point of view a brand does nothing, and to be everywhere is to be nowhere .
Bridge's outbound signal system
Generic tools like Perplexity or Lemlist do not capture what a real signal is for a narrow ICP, so Bridge built its own list of about 75 signals .
The signals are scraped across the internet daily, and brands that fit the qualification go into feeder signals .
Sales gets Teams notifications each morning and afternoon. Brands that nobody acts on within 24 hours move into automated outreach campaigns .
Channels get 90 days to cut or keep, judged on far-down-funnel movement in the financing process rather than lead volume .
The team is two full-time people plus freelancers and agents .
The wild-card experiments
At Flowcode, a campaign that drew a couple of cease-and-desist letters produced two enterprise contracts .
McKeown says that kind of risk is how an earlier-stage tech company crosses the chasm and catches momentum .
By the end of the year he wants Bridge to have tried two wild-card experiments, which he will not reveal yet .
