New research makes the debate about “topical authority” in AI search more measurable. The analysis used Semrush's US ChatGPT dataset across 1,094 categories and five prompt variations per category. Its core finding is that two forms of visibility behave differently: broad topical coverage may coexist with source citations, while explicit brand mentions are much stronger in closely related categories.
This distinction matters for content strategy. A publisher can provide reliable information across many subjects and be cited by ChatGPT. Becoming the brand users associate with a specific problem requires more than shallow presence everywhere. The study does not prove a causal ranking factor. Brand size, links, content quality, and offline awareness may also shape the result.
What did the study measure?
The analysis evaluated 283,215 citations and 76,493 named-brand observations. It also examined 45,578 expansion appearances and 1,458 mapped brands to see how visibility spreads into adjacent categories. Semantic distance was compared through close and distant topic groups.
In distant categories, 50% of observations involved a citation, 25% involved a brand mention, and 9% contained both. In close categories, citation reached 74%, mention reached 44%, and both appeared together in 34% of observations.
The most interesting detail is that citation-only rates stayed similar across topic distance: 41% for distant categories and 40% for close ones. Broad content coverage did not automatically reduce the ability to be used as a source. Named visibility, however, was more sensitive to whether a brand naturally belonged to the category.
Thin lines represent the broad source-citation network, while coral nodes represent named-brand visibility becoming stronger in closely related topic clusters.
Why should citations and mentions be separated?
A citation means a URL is used to support a claim. A mention means the brand name appears in the answer. A user can consume the cited information without visiting the source, and a brand can be named while another site receives the link. Combining both into one “AI visibility” score reduces decision quality.
Citations may reflect evidential value, while mentions may reflect brand-category association. That is an inference from the data, not a confirmed platform ranking rule. It still helps teams distinguish content production from brand-building investment.
Category differences matter as well. Finance and real estate showed stronger citation breadth, while legal and healthcare appeared more constrained for named mentions. In regulated or high-trust categories, publishing more pages may not be enough to support expansion.
A decision framework for brands in Türkiye
1. Define the core category. Write the problem and solution you want customers to associate with the brand in one sentence. If a new content cluster cannot connect back to it, expansion may be premature.
2. Track citations and mentions separately. Create distinct trends for source citations, named visibility, branded search, and direct traffic.
3. Select adjacent topics by relationship. A new subject should connect to an existing service, customer journey, or demonstrated expertise. Do not enter a distant category only because it has search volume.
4. Produce evidence assets. Original data, methods, cases, tools, expert input, and current documentation provide more citation value than another generic summary.
5. Strengthen brand context. About pages, authorship, case studies, service definitions, and external descriptions should consistently support the same area of expertise.
6. Expand in controlled steps. Build depth in the core, add one adjacent cluster, then measure. If citations appear without mentions or business outcomes, delay the next expansion.
The three stages show controlled movement from core expertise to an adjacent category and then to a validated new area. The final check represents an evidence gate rather than content volume.
Where should teams wait?
The study uses US ChatGPT data from January through June 2026. Türkiye, Turkish-language prompts, and other AI platforms may not follow the same distribution. Semantic category distance is also an analytical model, not a complete map of user perception.
The result shows association, not causation. Strong brands may both receive more mentions and publish better related content. Avoid buying a vague “topical authority score” or creating many weak clusters. Test a defined prompt set over time instead.
Fark Studio interpretation: being a source and being the chosen brand are separate goals. The first grows through information architecture and evidence quality. The second also needs consistent brand memory. A useful content strategy does not pursue abstract balance between breadth and depth. It requires a commercial relationship, evidence, and measurement for every new topic.
If you want to connect topic architecture across SEO, brand development, and content production, contact Fark Studio.
Sources
Search Engine Land, Does topical focus make your brand more visible?, August 5, 2026. Analysis of citations, mentions, and topic proximity using Semrush ChatGPT data.
Growth Memo, Does Topical Authority Matter in AI Search?, August 5, 2026. Original research publication describing the method and category-expansion interpretation.
