Introduction to ChatGPT Models
Ask ChatGPT’s default and premium models the same question, and they’ll cite almost entirely different sources. A Writesonic analysis found that GPT-5.4 Thinking, ChatGPT’s premium model, sent 56% of its citations to brand websites, while GPT-5.3 Instant, the default model, sent only 8%. This significant difference in citation sources is due to the distinct search strategies employed by each model.
Same Question, Different Search Strategy
When asked about CRM software, GPT-5.3 sent one broad query and cited techradar.com and designrevision.com. In contrast, GPT-5.4 sent separate queries restricted to hubspot.com, salesforce.com, and attio.com for pricing, and then checked g2.com and capterra.com for reviews. GPT-5.4 averaged 8.5 sub-queries, many of which were restricted to specific domains, and used site: operators in 156 of its 423 total queries. This targeted approach is not seen in other ChatGPT models, which do not use site: operators at all.
How Models Search the Web
OpenAI’s documentation explains that ChatGPT search rewrites prompts but does not detail how models decide which domains to target or when to use site: operators. This lack of transparency makes it challenging to understand the underlying mechanisms driving the search behavior of ChatGPT models. However, the analysis suggests that GPT-5.4’s search strategy is more focused on specific domains and brand websites.
Where the Citations Land
GPT-5.3 leaned heavily on third-party content, with blog posts and articles making up 32% of its citations. The top domains cited by GPT-5.3 included Forbes, TechRadar, and Tom’s Guide. In contrast, GPT-5.4 favored brand homepages, pricing pages, and product pages, accounting for 22%, 19%, and 10% of its citations, respectively. This difference in citation patterns has significant implications for brand visibility in ChatGPT.
Connection to Search Rankings
The analysis used SerpAPI to check whether cited domains also appeared in Google and Bing results for the same query. The results showed that 47% of GPT-5.3’s cited domains appeared in Google results, suggesting that Google rankings are partially predictive for the default model. In contrast, 75% of GPT-5.4’s cited domains did not appear in Google or Bing results, indicating that the premium model may rely less on traditional search rankings and more on targeted domain queries.
Implications for Brands
The findings of this analysis have important implications for brand visibility in ChatGPT. For the default model, third-party coverage on review sites and media outlets appears to drive citations. In contrast, the premium model favors first-party content, particularly pricing and product pages. This means that brands may need to optimize their content and online presence differently depending on the ChatGPT model being used.
Looking Ahead
As ChatGPT continues to roll out new models, the patterns identified in this analysis may change. However, one thing is certain: brands will need to adapt to the evolving landscape of AI-powered search and content recommendation. By understanding how different ChatGPT models search the web and cite sources, brands can better optimize their online presence and improve their visibility in these emerging platforms.
Conclusion
In conclusion, the differences in search strategy and citation patterns between ChatGPT’s default and premium models have significant implications for brand visibility and online presence. By understanding these differences and adapting to the evolving landscape of AI-powered search, brands can improve their chances of being cited and visible in ChatGPT and other emerging platforms. As the technology continues to evolve, it will be essential to monitor and analyze the changing patterns and behaviors of AI-powered search models to stay ahead of the curve.