Case study · Search · Net-new content
From zero to
229,182 impressions.
Most companies in technical categories are invisible for the questions their buyers actually type. Their brand ranks. Their category doesn't.
This is what closing that gap looks like, measured in the client's own Google Search Console. An enterprise deep-tech company selling AI simulation software into pharma, defense, and financial services. Twenty-six pages, built for queries the domain had never appeared for.
229,182
Impressions
Times the company appeared in results for terms it previously had no presence for at all.
678
Page-one queries
Distinct searches now returning the company on page one. Not one lucky page — coverage across a topic.
113
Top-three queries
Searches where it holds a top-three position — where the large majority of clicks go.
1,046
Clicks
Visits from people actively searching technical terms in the category. Small audience, high intent.
Why this compounds
Search presence is an asset. Advertising is a rental.
Paid traffic stops the day the budget does. Pages you own keep returning results — and the return grows as they age.
Six months after the first page went live, the curve was still climbing. The last month measured was the strongest month of the entire period. Nothing was added to produce it; the pages simply kept accumulating authority and appearing for more queries as search engines came to trust them.
What to expect, and when
Results arrive on a schedule you can plan around.
Every cluster started from no presence. Ranked by visibility, they finish in exactly the order they were published.
Page count doesn't explain it — the largest cluster by page count placed third. Time in market does. That matters when you're deciding what to fund: the clusters published later are still early in their curve, and the pattern tells you roughly what the next six months look like before you commit to them.
| Published | Category profile | Pages | Impressions | Per page | Share |
|---|---|---|---|---|---|
| 1st | Established high-volume terminology | 5 | 113,499 | 22,700 | |
| 2nd | Emerging technical category | 3 | 48,127 | 16,042 | |
| 3rd | High-competition commercial category | 14 | 34,581 | 2,470 | |
| 4th | Specialist clinical terminology | 3 | 31,977 | 10,659 | |
| 5th | Adjacent category, single page | 1 | 998 | 998 |
Per page, a second force shows up. Time in market sets the total. Competition sets the yield. The specialist terminology published fourth returns more than four times per page what the high-competition category returns — fewer established pages compete for it. Both effects are predictable, and both are things to weigh before choosing where to start.
Reading the numbers
What these figures do and don't say.
Stated plainly
- Average position moved from 6.2 to 9.6 — that is expansion, not decline. The pages began appearing for a far wider set of queries, including harder terms where a first appearance ranks lower by definition. Impressions grew roughly fivefold over the same window. A narrower page set holds a better average by competing for less.
- Nothing here is credited to work outside this content. Every figure is filtered to the published pages only, so nothing from the wider site inflates it.
- Every number is re-retrievable. All figures come from the client's own Google Search Console, filtered to the path and date range shown — not from an estimating tool.
Start here
See where you actually stand.
The work above starts the same way every time: measure what your buyers search, what you currently appear for, and where the gap is.
We run that read on your own verified data — search presence and AI-answer presence together — before anyone proposes anything. You'll see the same kind of numbers shown here, about your own site.