Competitor clinic analysis: the citation gap without tools
How to find where competitor clinics are cited without a paid link tool: structural citations, Search Console, search operators and an AI answer sample.
By Roozbeh Nazari · CEO
"Which sources cite our competitor clinics, and why are we not there" is the starting point of link work for health tourism clinics. The question is usually answered with the competitor report of a link analysis tool; there is no such report in this article. In the environment where it was prepared we had no access to a tool that returns link data, and we do not write a domain score, a link count or a traffic estimate we cannot verify. Instead, we describe a repeatable method for finding competitor clinics' citation gap without a paid tool, using your own Search Console data, search operators and a manually run sample. The method does not change when tool access is available; the tool only enlarges the sample.
Three kinds of citation, three separate gaps
In this context the word "citation" means three different things, and confusing them leads to the wrong work. First, structural mentions: places where the clinic's name, address and licensed name appear, such as ministry lists, accreditation body directories, professional associations, map and business profiles, with or without a link. Second, links: a clickable link another site gives to the clinic; press, university and hospital partnerships, patient forums. Third, AI answer attribution: the domains a generative search engine shows as sources in its answer to a treatment question. Each gap is found with a separate method; the steps below proceed in that order.
Step 1: build the competitive set from your own queries
The competitor list should come from search, not from the clinic's own perception. For each language version choose the five most important treatment queries, search each one in a private window while changing the target country and language in the search settings, and record the clinic sites on the first page, the businesses in the map block and, where present, the domains cited in the AI answer. Across four languages this exercise usually produces twenty to thirty domains; the five to eight clinics that appear in more than one language on the same query set are your competitive set. We described the agency-market version of this step in the competitive mapping article; the difference for clinics is adding the map block and the AI answer to the list.
Step 2: the structural citation gap
This layer is invisible even with a paid tool, because most of it contains no links; it is checked manually, and most of the gain is here. The Ministry of Health's list of facilities authorised for international health tourism is the only official place that shows a clinic is really authorised; whether you and the competitors are on the list is the first row. Then Google Business Profile: Google's guidelines for representing a business ask that the business be represented under the name it is known by in the real world and with a single profile; they also state that physicians may have separate practitioner profiles. Comparing competitor clinics' profile structure (facility profile, physician profiles, category choice) with yours makes missing or inconsistent records visible immediately; we discussed the setup of these profiles in the Google Business Profile article.
For the third group a simple search technique is enough: search the competitor clinic's name in quotation marks, with an operator excluding its own domain, in each language, and classify the sites where the clinic is mentioned by type: directory, accreditation, professional association, press, intermediary, forum. When this table is filled for five competitors the gap appears by itself: every source that mentions at least two competitors but not you is a candidate. Rank the candidates by reachability and relevance; directories that exist only for ranking do not enter the list, and we explain why below.
Step 3: the link gap, without tools
For your own site's link data there is Search Console's Links report: your most linked pages, the sites linking most and the link text. The report's help page states clearly that the tables are limited to a thousand rows and that the report presents a sample; so this is a cross-section, not a count. There is no such report for competitors; for their links you use the link-bearing results of the search technique in step two, press releases, university and hospital partnership pages and the reference lists in encyclopaedia entries. Read the resulting table as a sample too; the sentence "the competitor has this many links" cannot be built with this method, the sentence "the competitor appears in these three source types and we do not" can.
In this step the boundary is drawn by Google's spam policies. The policy counts links created to manipulate ranking as spam and gives as examples links exchanged for money or products, excessive link exchanges and low-quality directory links; it says paid placements must be marked with nofollow or sponsored. Not every source that appears in the competitor table is a target; sources that were bought or exist only for links are not a gap but a place to stay away from.
Step 4: the AI answer attribution gap
To see which clinics are cited as sources in generative search engines you need routine, not scale. Define ten to twenty treatment questions per language, ask the same questions in the same tools on the same day, record the domains cited in the answers and repeat at the end of the month. We explained how to build this sample step by step in the 100-prompt benchmark article. Google's AI features documentation states that there are no additional requirements to appear in AI Overviews and AI Mode, that the same foundational SEO practices apply, and that these features display a wider and more diverse set of sources than classic search. So the gap here is the question groups where competitors are cited and you are not; closing it means producing pages that answer those questions plainly. The scope of this work is described on the AI search visibility page.
From table to action
At the end of the four steps you have three tables: structural, links and AI attribution. In prioritising we ask three questions: is the source reachable (the ministry list by application, the press through relationships, directories mostly not at all), is it safe under Google's policies, and is it relevant to the target audience. Sources that answer all three positively make the shortlist; the first list rarely keeps more than ten sources, and that is a quarter's work. In the projects we run for clinics this table is refreshed every three months; as the competitive set changes, so does the gap.
Conclusion
The citation gap is not a tool output but a comparison table; it can be built without a tool, only the sample is smaller. Building the competitive set from your own queries, collecting structural mentions by hand, reading link data as a sample and asking the AI answers regularly shows verifiably where you are missing. We gave no numbers in this article; they will be in your table, and there they will be real.
Sources
- Links report — Search Console Help
- Guidelines for representing your business on Google — Google Business Profile Help
- Spam Policies for Google Web Search — Google Search Central
- AI Features and Your Website — Google Search Central
- Authorised Health Facilities — Ministry of Health, Health Tourism Department