People Don't Want AI Making Their Decisions. They Want Something Better.

For the past two years, the conversation around AI search has been dominated by one question: 'How do I get ChatGPT to recommend my brand?' A recent reader discussion published by Tom's Guide suggests that may be the wrong question entirely. The article collected responses from readers about how they use AI search, and one theme emerged repeatedly: people are increasingly turning to AI because traditional search engines have become cluttered with ads, SEO content, and low-quality results. Yet many of those same users also expressed discomfort with AI making decisions on their behalf. They do not want AI to replace judgment. They want AI to make judgment easier. That distinction matters.

AI Is Becoming the First Step, Not the Final Step

Many marketers still imagine AI search as a replacement for Google: a user asks a question, the AI recommends a brand, the customer buys. Reality appears to be more nuanced. The emerging decision journey looks more like this: AI provides a recommendation, the user asks why, the user evaluates the evidence, the user validates the recommendation, and only then does the decision happen. AI is increasingly acting as a decision assistant, not a decision maker.

The New Question Is Not 'Did AI Recommend Me?'

If users continue to seek explanations rather than blind recommendations, brands need to rethink how they measure success. Simply appearing in an AI response will not be enough. Brands will increasingly need to understand why they were recommended, what claims the AI relied on, what evidence supports those claims, and whether those claims would withstand customer scrutiny. Those questions are fundamentally different from traditional SEO metrics. They are also much more valuable.

Visibility Is Only the Beginning

The AI optimization industry has understandably focused on visibility: did your brand appear, how often, and where? Those remain important questions. But visibility is only the first step in a much larger decision process. The next questions are far more interesting. What does AI believe about your brand? Why does it believe those things? Which pieces of evidence reinforce those beliefs? Which narratives are influencing customer decisions? Those are measurement problems, not search problems.

The Shift From Search to Decision Intelligence

For years, search optimization has been about increasing discoverability. AI introduces a different challenge. Brands now need to understand how they are represented during customer decision-making. That is a richer problem. It combines visibility with credibility, evidence, associations, and the claims that ultimately shape trust. The brands that succeed will not simply be the ones that appear most often. They will be the ones whose strongest claims are consistently supported by credible evidence and reinforced across AI systems.

AEO Updates Takeaway

The future of AI optimization is unlikely to be won by the brands that simply maximise visibility. It will be won by the brands that understand, and actively shape, how AI constructs, explains, and reinforces their reputation during real customer decision journeys. As AI becomes a standard part of consumer decision-making, the industry will need to move beyond simple visibility metrics toward understanding how AI represents brands when customers are actually making decisions. That may prove to be the metric that matters most.

References

[1] Tom's Guide, <a href="https://www.tomsguide.com/" target="_blank" rel="noopener noreferrer" class="text-amber-700 underline">Reader discussion: How people are using AI search</a>, July 2026.

AEO Updates is published by The Prompt Group. Editorial decisions sit with the AEO Updates team, and any commercial relationship that touches a story is labelled on the page.