This post is for hospital and clinic marketing leads who already have a working site, a Search Console property and some organic traffic, and who want to know where the next batch of enquiries is most likely to come from. It is a method, not a theory. You will export one report, apply a handful of filters and end up with a ranked list of pages to touch this month.
The idea is simple. Pages that already sit at positions 8 to 20 have proven to Google that they are relevant to a query. They are not invisible. They just sit below the first screen. Moving a page from position 11 to position 5 is usually a smaller job than getting a new page to position 5 from nothing, because the crawling, indexing and relevance groundwork is already done.
The method has limits, and we will state them. Search Console positions are averages, AI features change what a click is worth, and some pages sit on page two because they should. The aim is to separate those cases quickly, so that effort goes to pages where a specialist edit is likely to matter.
Why positions 8 to 20 deserve their own review
Most monthly SEO reports lead with total clicks and average position across the site. Both numbers hide this band. Total clicks are dominated by a few brand and top-three queries. Site-wide average position is pulled around by thousands of long-tail queries that nobody is trying to win.
Positions 8 to 20 are different because three things are true at once. The page is already indexed and associated with the topic. The query has real impressions, so there is demand. And the current click yield is low, so small ranking changes alter the outcome. For a hospital with a few dozen service-line, condition and doctor pages, this band is often a short, workable list.
There is also a defensive reason to look here in 2026. Ahrefs' analysis of 300,000 keywords found that the presence of an AI Overview correlated with a 58% lower average click-through rate for the top-ranking page, comparing December 2025 with a December 2023 baseline. The same article notes that this is correlation and a modelled comparison, and that the reduction is smaller at lower positions. Read that as a caution, not a forecast. For informational queries that trigger an AI Overview, a first-page position may be worth less than it was. For appointment and provider queries, check in a private window whether a summary appears at all before assuming the same drop applies. Your page-two list should therefore be sorted by intent before it is sorted by volume.
Step 1: Export the right report
In Search Console, open the Performance report for Search results, set the date range to the last three full months, and add the Query and Page dimensions together. Google's Performance report documentation explains how position is calculated: it is the topmost position your page held for each impression, averaged. That has two practical consequences.
First, a query-level position is an average over countries, devices and personalised results. A figure of 11.4 may mean position 6 for some people and position 18 for others. Filter to India (or the market you are working on) and to mobile or desktop separately if the numbers look strange.
Second, a page-level position averages every query the page ranks for, and is close to meaningless. Always work at query and page level. Export to a spreadsheet or Looker Studio rather than reading it in the interface, because the interface truncates rows.
Keep these columns: query, page, clicks, impressions, click-through rate, position. Add four of your own: intent, page type, owner and decision.
Step 2: Filter, then classify by intent
Filter to average position between 8 and 20, then remove queries with fewer than a threshold of impressions. For a single-location clinic, 30 impressions across three months may be a sensible floor. For a hospital group, 200 may be better. Choose the number so that the list fits on one screen of a spreadsheet, not the other way round.
Then remove what does not belong. Branded queries that rank on page two usually indicate a profile or listing problem rather than an SEO one. Queries in languages or places you do not serve are noise. Queries from patients outside your service area, such as a symptom searched in another country, can be flagged and ignored.
Tag each remaining row with one of four intents:
- Appointment or provider intent: doctor name, "cardiologist in Sector 56", "best IVF clinic Gurugram".
- Treatment or procedure intent: "knee replacement surgery", "root canal procedure".
- Cost or insurance intent: "angioplasty cost", "cashless treatment hospital".
- Informational intent: symptoms, causes, recovery.
Appointment and cost rows are the highest-value part of the list because the person is closest to booking. Informational rows are worth fixing only when the page has a sensible next step to offer, and when the clinical content has been reviewed by the provider's clinical team.
Step 3: Diagnose each row in one of five ways
For every remaining row, open the live result and the ranking page side by side, and assign the cause. Most rows fall into one of five buckets, each with a different fix.
1. The right page, thin or dated. The page targets the query but a competitor answers it more completely. Fix: expand the sections that answer sub-questions, update clinical facts after review, add a clear next step. See the on-page SEO service for the edits that tend to matter on service pages.
2. The wrong page ranks. A blog post ranks for a "doctor in Pune" query because the real location page is weak. Fix: strengthen and link to the correct page, and avoid deleting the blog post. This is the commonest finding on hospital sites with years of content.
3. Two pages compete. Both appear for the same query, alternating in position, and neither stays on page one. This is keyword cannibalisation. Fix: choose one page as the owner, point internal links to it, and merge or differentiate the other.
4. No suitable page exists. The query is a close variant of a topic you cover, and nothing answers it directly. Fix: a new section or a new page, but only if the query has real appointment value.
5. The page should not rank. The intent is wrong, the query is irrelevant, or the content cannot be improved without clinical input you do not have. Fix: do nothing, and record the decision so that nobody reopens it next month.
Write the bucket and the one-line fix in the sheet. A row without a stated fix is a note, not a task.




