01
Executive thesis
Local visibility is not a position. It is a surface. A clinic in Al Rakah might dominate map results for patients standing within two kilometres of the door and be entirely absent for patients four kilometres away who would happily drive. That absence is invisible to anyone checking rankings from the office, because the office is inside the zone where the clinic already wins.
Google describes local results as determined mainly by relevance, distance and prominence. Distance means the same query returns different results depending on where the person searching is standing. Any measurement method that ignores this produces a number that feels precise and is not measuring the market.
The decision this article supports is what to measure. Replacing single-point ranking checks with a visibility share across a geographic grid changes what you can see: which districts you own, which you contest, which you have surrendered, and whether the gap is caused by distance, by category configuration or by weak prominence signals you can actually influence.
02
Numbers that frame the issue
| Figure | What it tells us | Type | Source, date and geography |
|---|---|---|---|
| Google states local results are based mainly on relevance, distance and prominence | Position varies by searcher location by design, not by error | Official platform guidance | Google Business Profile help, current guidance, global |
| Google permits eligible individual practitioners and departments to hold separate Business Profiles | Healthcare visibility can be built at practitioner and department level, subject to eligibility | Official platform guidance | Google Business Profile guidelines, current guidance, global |
Google does not disclose the full weighting behind local results, so relevance, distance and prominence should be treated as named factors rather than a formula. Practitioner and department profile eligibility carries naming and category rules that must be checked case by case rather than assumed.
03
Why one Maps ranking is statistically weak
A single ranking check has four problems, and they compound.
It samples one location. Distance is a stated factor. Checking from one point produces one result set from a market containing many. A clinic serving a city of two million is being assessed at a single coordinate.
It samples one phrasing. “Dentist near me”, “dental clinic Al Khobar”, “عيادة أسنان” and “root canal specialist” return different result sets with different competitors. Checking one term describes one slice of demand.
Personalisation contaminates it. A search run on a logged-in browser, from a device that has visited the clinic’s website, with location history in the same neighbourhood, is not a neutral observation. It is usually flattering.
It has no denominator. Position two is meaningless without knowing how many of the market’s queries and locations you appear in at all. A clinic can hold position two in four districts and be absent from twelve, and the ranking check will report success.
The result is a measurement that moves for reasons nobody can explain, which is why local SEO reporting so often becomes an argument about whether the number is real.
04
How Google describes local ranking factors
Google names three factors. Reading them together is what makes them useful.
Relevance is how well the profile matches what was searched. This is influenced by category selection, the services listed, the business description and the consistency between the profile and the website. It is the factor most under your control and the one most often left at default.
Distance is how far the business is from the search location, or from the location term in the query. It cannot be changed. It can be planned around, by understanding which districts are realistically winnable and which are not worth the effort.
Prominence reflects how well known the business is, drawing on information from across the web, including links, articles, directories and review activity. This is the slowest factor to move and the one where clinical reputation can finally be converted into a discovery advantage, provided the evidence exists publicly. Where it does not, the situation described in The Invisible Specialist Problem: Why Clinical Reputation Does Not Create Digital Visibility applies.
The practical reading: distance sets the boundary of what is achievable, relevance determines whether you compete inside that boundary and prominence determines whether you win.
05
Clinic, department and practitioner profile architecture
Healthcare organizations have an option most local businesses do not. Google permits eligible individual practitioners and eligible departments to hold their own Business Profiles under its guidelines, which means a single site can support a structured set of profiles rather than one.
That creates opportunity and risk in equal measure.
The opportunity is coverage. A hospital profile competes for facility-level queries. A department profile can compete for specialty queries. A practitioner profile can compete for name searches and, where eligible and correctly configured, specialty plus location searches. Three layers of presence from one physical site.
The risk is fragmentation. Duplicate profiles for the same entity, profiles created by former staff, departments listed with inconsistent names, practitioners who have left and whose profiles still point to your address, and address or hours data that disagrees between profiles. Each of these damages relevance signals and confuses patients, and the cleanup is considerably more work than the setup.
Three governance rules prevent most of it:
- One owner holds administrative access to every profile connected to the organization, including practitioner profiles
- Every profile has a defined lifecycle, with a specified action for joiners, movers and leavers
- Naming, categories and hours follow one written standard applied identically across all profiles, in Arabic and English
Eligibility rules differ by profile type and change over time. Verify against current Google guidelines before creating practitioner or department profiles rather than assuming a structure is permitted.
07
A geographic grid example
The following example is illustrative. The grid, queries and scores are invented to demonstrate the calculation. They are not measured, not a DEMA benchmark and should not be cited.
Scenario context. A single-site dental clinic in the Eastern Province measures a nine-point grid against five queries, giving 45 observations and a maximum of 135 points.
| Grid zone | Distance from clinic | Points scored (of 15) | Read |
|---|---|---|---|
| Zone 1, clinic location | 0 km | 14 | Dominant, as expected |
| Zone 2, north | 1.5 km | 12 | Strong |
| Zone 3, east | 1.5 km | 11 | Strong |
| Zone 4, south | 3 km | 6 | Contested |
| Zone 5, west | 3 km | 5 | Contested |
| Zone 6, north-east | 4.5 km | 2 | Largely absent |
| Zone 7, south-east | 4.5 km | 1 | Absent |
| Zone 8, north-west | 6 km | 0 | Absent |
| Zone 9, south-west | 6 km | 0 | Absent |
Result. 51 points from a possible 135, a visibility share of 37.8%.
Reading it. The decay pattern from zone 1 outward is normal and reflects distance. What is diagnostic is zone 4 against zone 5, both at 3 kilometres with similar scores, compared with zone 6 at 4.5 kilometres scoring 2. If a competitor sits between the clinic and zone 6, the drop is a distance and prominence problem. If no competitor sits there and the zone still scores 2, the more likely cause is relevance, meaning categories or services that do not match how people in that area phrase the query.
By query rather than by zone. Assume the branded control term scores 27 of 27 while a service term such as root canal scores 4 of 27. That gap is not a distance problem, because it appears across all zones equally. It is a relevance problem, and it points at the service list on the profile and the corresponding page on the website.
Decision implication. Zones 8 and 9 are probably not winnable and should not absorb budget. The service-term gap is winnable and cheap. Prioritise accordingly.
Limitations. Grid measurement is a sample, not a census. Results vary by time of day, by device and by how the query is phrased. Run the same grid the same way each time or the trend line is meaningless.
08
Data quality, categories, reviews and website signals
Four inputs determine relevance and prominence in practice. Score each as a standing check.
| Input | What to check | Common failure |
|---|---|---|
| Categories | Primary category matches the main service, secondary categories cover the rest without dilution | Generic primary category such as “clinic” instead of the specific specialty |
| Services and description | Every service you want to be found for is listed explicitly, in Arabic and English | Services listed on the website but never added to the profile |
| Hours and access | Hours accurate including Ramadan and holidays, address matches the website exactly | Hours that were correct at setup and never revised |
| Reviews | Genuine review requests without incentives, no medical or personal information in responses | Staff responding with clinical detail, which breaches platform policy and patient privacy |
The review dimension carries real risk. Google’s policies prohibit disclosure of medical or other personal information in reviews and responses, and Saudi privacy law applies independently of platform rules. A well-meaning response confirming that someone was treated for a condition is a disclosure. Handling this properly is covered in Reputation Debt: The Gap Between Care Quality and Public Evidence.
The website side matters as much as the profile. The services named on the profile should exist as pages on the site, with matching terminology, and the location page should list the same hours and address. Contradiction between the two weakens relevance and is the most common unforced error in healthcare local search.
09
A 90-day local visibility plan
Fix now
- Audit every profile connected to the organization, including practitioner profiles, and claim or remove the ones nobody controls
- Set the primary category to the specific specialty rather than a generic clinic category
- Add every service you want to be found for, in Arabic and English
- Correct hours, including Ramadan variations, and match the address exactly to the website
- Remove any clinical or personal detail from existing review responses
Build next
- Run the first visibility grid and record it as a baseline, with the method documented so it can be repeated
- Create pages on the website for the services listed on the profile, where they do not already exist
- Establish profile governance covering joiners, movers and leavers
- Where practitioner profiles are eligible, create them under one naming standard
Measure continuously
- Visibility share by zone, monthly, using an identical grid
- Visibility share by query, to separate relevance problems from distance problems
- Direction requests and calls from the profile, as a proxy for qualified local demand
- Review volume and response time, tracked without recording patient detail
Applying this across several sites introduces cannibalization risks that a single-site clinic does not face. That is dealt with in Multi-Location Healthcare SEO Without Duplicate Pages and Cannibalization.
10
Benchmark methodology and limitations
What this article is. A measurement method for local healthcare visibility, built on Google’s published description of local ranking factors and standard grid-sampling practice.
What it is not. The grid example uses invented scores to demonstrate the calculation and the reading. No DEMA local visibility benchmark for Saudi healthcare has been published. No industry average visibility share is offered, because none has been measured.
Method limitations. Grid sampling approximates a continuous surface with discrete points, so results depend on grid density and placement. Queries must be held constant between measurements. Personalisation, time of day and device type all introduce variance. A single grid run is a snapshot, not a trend.
Platform limitations. Google does not publish the weighting of relevance, distance and prominence. Eligibility for practitioner and department profiles is governed by guidelines that change and must be verified per case. Nothing in this method guarantees a ranking outcome.
Where review is required. Review responses, patient-facing profile content and any handling of patient identity require privacy review under the Saudi Personal Data Protection Law and appropriate professional review. This article is not legal advice.
Planned research. DEMA has scoped a local healthcare visibility grid study in Saudi Arabia. Until it is completed, no benchmark figures exist and none should be inferred from this article.
Sources.
11
How much of your catchment can actually find you?
Most clinics have never measured it, because the check they run is taken from inside the zone they already win. A Healthcare Growth Diagnosis runs the grid across your real catchment, in Arabic and English, and separates the districts you have lost to distance from the ones you have lost to configuration.
Request a Healthcare Growth Diagnosis