ChatGPT Thinking Mode: brand citations compared
ChatGPT's high-reasoning mode behaves like an entirely different search surface for brand visibility. That is what a joint analysis by Semrush and Kevin Indig shows: in Thinking mode, the system cites different domains than in minimal reasoning mode and runs nearly five times as many web searches. For GEO teams trying to manage their presence in AI answers, this is not a side issue but a central lever.
The core figure is 25.6 percent: only that share of cited domains overlapped between both reasoning modes for identical prompts. Nearly three quarters of sources changed once ChatGPT shifted from Instant-style answers to Thinking-style answers. Brands that stay visible only in the fast mode risk disappearing completely when users ask more complex questions.
More sources, more web searches, higher citation rate
Thinking mode used significantly more external evidence. Citation rates rose from 50 percent in minimal reasoning to 68 percent in high reasoning. Average sources per answer increased from 2.6 to 4.5 citations. Across the full test run, high reasoning summed to 1,130 web searches versus only 245 for minimal reasoning. AI answers with deeper reasoning are therefore not only longer but also more tightly connected to the open web.
For marketers, this means visibility in ChatGPT depends more on whether content appears in the many partial searches the model runs before delivering the final answer. A single strong landing page is not enough if documentation, support pages, and third-party references are missing from sub-queries.
Source types shift noticeably
The composition of cited domains changed as well. Reddit lost significant weight: its share fell from 15 to 7 percent once high reasoning was active. User-generated content and review sites dropped from 14.3 to 6 percent. At the same time, authoritative sources gained importance.
- Government and academic sources rose from 1.9 to 8.8 percent.
- Official documentation and support pages grew from 12.4 to 17.5 percent.
GEO strategies should take this shift seriously. Forum posts and community content lose relative relevance in Thinking mode, while structured expert sources, official help pages, and verifiable references move more strongly into citations.
Comparison prompts drive fan-out searches
Research intensity escalated especially in the comparison stage of a buyer journey. High reasoning generated an average of 24 sub-queries per prompt there, versus only 5.5 for minimal reasoning. Average citations peaked at this stage with 9.8 per high-reasoning answer, compared with 5.8 in minimal mode.
A CRM comparison can prompt ChatGPT to run separate searches for pricing, integrations, security, support, and documentation before forming its answer. Brands visible for only one of these sub-questions can get lost in the overall response or never be cited at all.
Early citations stay visible longer in the journey
High reasoning was more likely to carry brands from early research phases into later purchase decisions. In four of 20 tested buyer journeys, a brand cited in the problem stage still appeared in the selection stage. Minimal reasoning showed no full journey persistence at all.
High reasoning also reused the same domains within a single answer more often. The same domain appeared multiple times in 51 of 100 high-reasoning responses, versus only 26 in minimal mode. Brands recognized early as reliable sources can be cited repeatedly within one answer.
Industry differences in citation lift
The increase in citation rate varied strongly by category. Finance recorded the largest jump at plus 28 percentage points in high reasoning. Health and lifestyle gained 24 points, B2B SaaS 16 points. Consumer tech barely moved, rising only 4 points.
| Category | Citation lift in high reasoning | Notable detail |
|---|---|---|
| Finance | +28 percentage points | Largest increase overall |
| Health & Lifestyle | +24 percentage points | High sensitivity to authoritative sources |
| B2B SaaS | +16 percentage points | Comparison prompts especially relevant |
| Consumer Tech | +4 percentage points | Many sub-queries, similar brands to minimal mode |
Consumer tech stands out: although high reasoning ran more sub-queries there than in any other category, it often landed on the same brands and sources as minimal reasoning. In mature markets with established players, deeper research does not automatically create new visibility.
What GEO and SEO teams should take from this
Content may appear in fast ChatGPT answers and disappear when users ask more complex questions. Visibility depends on whether your pages, documentation, and third-party references surface in the smaller searches ChatGPT runs before answering. Teams should therefore test not only instant answers but also Thinking scenarios and multi-stage buyer journeys.
- Expand official documentation, support, and structured expert content.
- Check comparison and evaluation prompts separately for citations.
- Link early journey phases to later selection phases and measure persistence.
- Factor industry-specific lift values into prioritization.
Methodology of the Semrush analysis
Semrush and Kevin Indig tested 100 prompts across 20 buyer journeys in B2B SaaS, finance, consumer tech, and health and lifestyle. Each prompt ran once in minimal reasoning and once in high reasoning. The analysis tracked citation rate, cited sources, and fan-out queries. The results show that reasoning modes are not a cosmetic setting for brand visibility in AI search but a structural factor with measurable impact on source selection, research scope, and journey continuity.
