Google spent 25 years training marketers to game its algorithm, and now they're all scrambling to figure out which startups can help them game the new gatekeepers.
The Summary
- Half of US consumers now use AI-powered search to evaluate brands, and ChatGPT recommendations drive 2.5x more traffic than competitors according to Similarweb data.
- CMOs from American Eagle, Coach, Chime, and Fruitist are actively testing AI search optimization strategies, treating it as a core 2026 priority.
- The playbook mirrors early SEO: longer-form content, authenticity signals, and a new layer of reputation management tools built specifically for LLM visibility.
The Signal
McKinsey research from October shows that 50% of US consumers are using AI-powered search to discover and evaluate brands. That's not a future trend. That's half the market, right now, asking ChatGPT and Gemini which brand to buy instead of clicking through ten blue links.
The economics are stark. When ChatGPT recommends a brand, users are 2.5 times more likely to visit that site over a competitor's. If you're the brand that shows up in the answer, you win. If you're not, you don't exist.
"This is actually one of the key focuses of our team right now." — Craig Brommers, CMO of American Eagle
American Eagle's Brommers is betting on longer-form content. Chime's Vineet Mehra is testing startups that promise to optimize brand presence in AI responses. The details on which startups and what tactics got cut off in the source material, but the pattern is clear: enterprise marketing budgets are moving fast toward a new category of vendor.
This isn't just SEO 2.0. The incentive structure is different. Google's algorithm rewarded gaming the system because Google's business model was showing you ten options and letting you click. LLMs collapse that choice down to one or two recommendations, which means the stakes for being included, or excluded, just went vertical.
Key shifts happening now:
- Content strategies pivoting from keyword stuffing to "authenticity signals" that LLMs trust
- New reputation management tools designed specifically for AI platform visibility
- CMOs treating AI search optimization as a C-suite priority, not an SEO team experiment
The early winners will be brands that figure out what training data LLMs trust, how context windows prioritize certain sources, and which third-party platforms (review sites, Reddit, industry blogs) carry the most weight in AI responses. The losers will be the brands still optimizing for PageRank while half their customers never see a search results page.
The Implication
If you're running marketing for any consumer brand, you need an answer to "what's our AI search strategy" before Q3. Not a theoretical answer. A budget, a team, a set of experiments in flight.
The companies building the picks and shovels here (AI SEO tools, reputation platforms, content optimization services) are about to have a very good 18 months. The brands that wait for case studies and best practices will be playing catch-up in a race where second place means you're not in the answer at all.