ChatGPT conversions change when you move from the default ChatGPT model to Premium models. But why is that? The simple answer is that both versions work differently. They threaten the user’s conversations on different levels and search the web differently.
How does it happen?
After reviewing 10,000+ queries, I found that the same question in the same words provides different results and citations in ChatGPT's default and Premium versions.
At a glimpse it was clear that GPT-5.4 is citing more websites than its predecessor. You do not see caption overlays. GPT 5.4 even cites domains that are not indexed in Bing and Google search.
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You can try the same when asking one question in both versions. You get up to 93% different sources.
Writesonic also reported the same.
Writesonic reported that GPT 5.4 Thinking is citing 56% branded websites in its queries. While GPT 5.3 only sites 8% websites in queries.
After trying multiple prompts, I have found that only 7% of sources are shared across models. This stat reveals the fact that both versions treat search queries at different levels before searching the web for answers.
GPT Premium Vs. GPT Default:
I asked about both versions of the CRM Software. The two models approached things differently. GPT 5.3 used a simple search strategy.
It ran the broad query about CRM software and published information from technology blogs like TechRadar and Design Revision.
It displays that the query runs using high-level overview operations. It does not focus on specialized reviews and vendors.
Premium GPT 5.4 used a targeted and granular approach. It broke down the queries into multiple search-focused queries.
It sent different results for pricing information from Attio, Salesforce, and HubSpot. It also added additional information from review platforms like Capterra and G2.
Queries per Prompt:
GPT 5.4 used 8.5 subqueries per prompt. It helps the search narrow down to specific queries.
Premium GPT used the Site: search operator to restrict queries to the specific domains. It used the site operator in 156 out of 423 queries. While other GPT models do not use the Site: search operator.
OpenAI’s Documents:
OpenAI’s document reveals that ChatGPT search rewrite user prompts before search. The document does not provide additional information on how the internal decision process works.
How it determines which domains to target, under what circumstances, and when to choose query sources from the official sites of their party.
Citations Reflect the Stats:
- GPT 5.3 relies on third-party content. It cites articles and blogs more than 32%. Tom’s Guide, TechRadar, and Forbes are the most cited sources.
- GPT 5.4 uses a different approach. It cites brand homepages for 22% times, product pages 10%, and pricing pages for 19%.
GPT 5.3 cited 4 pricing pages in 49 conversations. GPT 5.4 cited 138 pages. GPT 5.4 uses fewer sources.
During comparison, GPT 5.3 never cites a website, but 5.4 cites brands 83% times.
Search Ranking and GPTs:
We checked multiple cited domains in the Bing and Google search to find out if they appear in the organic search or not.
- GPT 5.3 cited 43% of websites that appeared in Google search.
- GPT 5.4 cited 75% of websites that never appeared on Google or Bing search. This clarifies that do not rely on search ranking and targeted domains.
Why It Matters for GEO:
Brand visibility in the GPT results depends upon the choice of models. Default models focus more on third-party websites like media publications and review sites.
Premium GPT uses first-party content. It focuses on the homepage, product pages, and pricing pages.
Marketers and content creators can use this data to optimize their website’s homepage, product pages, and pricing tables to rank in GEOs.
Conclusion:
GPT is evolving with every new model. The changes in patterns and methods of how it cites sources in different models.
Brands can use utm_source=chatgpt.com to measure referral traffic from ChatGPT.
It is a must to optimize the homepage, product and pricing pages to rank better in ChatGPT.
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