The Maze: ChatGPT is not one discovery engine wearing several speed settings. In a Semrush study of 100 prompts across 20 buyer journeys, minimal and high reasoning shared only 25.6% of cited domains. Switch the reasoning level and nearly three quarters of the source pool changes. For brands, that means a strong result in a fast answer says little about visibility when a shopper asks the harder question: compare options, validate claims, or choose what to buy.
Deeper reasoning opens the web earlier. At the Problem stage, minimal reasoning cited external sources in 0% of responses; high reasoning did so in 35%. Exploration moved from 15% to 25%. The two modes converge only after the shopper reaches concrete evaluation: Comparison rises from 85% to 100%, Validation from 85% to 90%, and Selection from 65% to 90%. The visibility gap is therefore widest before most marketers expect the buying battle to begin. High-reasoning answers use early evidence to define the problem, shortlist categories, and establish which brands are credible enough to survive later questions.
Comparison is where one query becomes a research project. High reasoning generated 24.1 fan-out searches per Comparison prompt, versus 5.5 for minimal reasoning. At Selection, the split was 15.4 versus 2.6. Across the full test, high reasoning ran 1,130 searches while minimal reasoning ran 245. It also used 4.5 sources per cited response, up from 2.6. A buyer asking “which platform fits my team?” may trigger separate retrievals for pricing, integrations, security, implementation, support, and policy. Ranking for the headline query is useful. Supplying clear evidence for the hidden sub-queries is the real moat.
The source hierarchy changes with the mode. Reddit's share fell from 15% under minimal reasoning to 7% under high reasoning. UGC and review sites dropped from 14.3% to 6%. Government and academic sources rose from 1.9% to 8.8%, while official documentation and support pages grew from 12.4% to 17.5%. The lesson is not to abandon social proof. Fast answers still reward it. But deeper evaluation needs claims that can be verified: structured product pages, technical documentation, primary research, explicit methodologies, and third-party authority. AI visibility now needs both reputation and proof.
Early citations can compound into decision-stage visibility. None of the 20 minimal-reasoning journeys kept the same brand visible from Problem through Selection. High reasoning did so in four. It also returned to the same domain multiple times in 51 of 100 responses, versus 26 under minimal reasoning. Kevin Indig's research index frames this as reasoning lift: a different retrieval pattern, not a slightly longer answer. The sample is directional rather than universal, but the operating implication is concrete. Audit visibility as a journey and by reasoning mode, not as one blended score.
Why it matters: AI visibility has split into two markets. Instant answers reward broad presence, recognizable language, and social proof. High-reasoning answers reward evidence that survives many narrower searches. Brands need content architecture for both: credible discussion around the product, plus first-party pages that state prices, integrations, limits, policies, and methodology cleanly. The winner will not be the brand that appears once. It will be the brand that remains useful when the model keeps digging.
Sources: Semrush study | Growth Memo research index | Search Engine Land
