The challenge: a vertical generic SEO agencies can't crack
Research administration is a brutally niche, low-search-volume vertical. The audience is small, specialized, and searches in language that a generalist content shop won't recognize — the difference between a "data management plan" and a "data governance policy," or between "research integrity" and "research compliance," is the difference between ranking and being ignored. Most SEO agencies solve this the only way they know how: publish volume, target broad keywords with borrowed relevance, and hope some of it sticks. In a vertical this specific, that approach wastes budget on pages nobody in the field is actually searching for.
Academic, research-office, and journal content has the same problem, one order of magnitude worse. The buyer is sophisticated, the query volume per topic is thin, and a generic content mill produces pages that read as generic — which is precisely what a research administrator, a journal editor, or a university communications director can spot and discount in seconds.
The approach: verify demand before writing a single word
We do not start with a content calendar. We start with search data. Every topic we publish on casrai.org is checked against live search demand first — using the same tools (Google Search Console, DataForSEO keyword and SERP data) we would run against a client's site — before a single sentence is drafted. If the demand isn't real and measurable, the page doesn't get written.
Two disciplines sit underneath that rule:
- Dedup-first. Before adding a new page, we check whether an existing page already owns that query intent. Cannibalizing our own rankings with near-duplicate content is treated as a defect, not a growth tactic.
- A real demand bar. A topic has to clear a verified-search-volume threshold to be greenlit. This keeps the content calendar honest and keeps published pages concentrated where an audience is actually looking.
The same discipline extends to how content earns trust with AI answer engines, not just search engines. We track, using real LLM-citation data rather than guesswork, whether a given page is actually being cited when ChatGPT, Google AI Overviews, or Perplexity answer a question in its subject area — and we treat GEO as a hands-on, applied practice, not a theoretical add-on to traditional SEO.
The result: casrai.org's own numbers
This is not a client result — CASRAI does not yet have paying clients for this service line. It is our own site, run by the same team using the same method, over a single continuous content cycle.
| Metric | Result |
|---|---|
| Organic Google clicks, trailing 28 days | 71,465 |
| Organic Google impressions, trailing 28 days | 12,789,147 |
| Site-wide average position | 7.8 |
| New pages researched, written, fact-checked and published in one cycle | 357, across the US, UK, Canada and Australia, each individually verified against live search demand before drafting |
| Ranking on "academic seo" for our own guide page | Position 3.3, 11% click-through rate — well above typical CTR at that position |
| Buyer-intent and trust-critical queries | Multiple #1 Google rankings on high-intent buyer and trust queries achieved through this same methodology |
Same team, same method, applied to our own property first. We are not asking a prospective client to trust a case study about someone else's site — we are showing the search console and the DataForSEO data for our own.
What this means for your site
If casrai.org — a nonprofit reference site in one of the narrowest verticals in B2B search — can move 71,465 organic clicks in the trailing 28 days and hold a top-3 position on a competitive category term, the constraint for a university research office, a journal, or a learned society is rarely "can this be done." It's whether the content strategy behind it is built on verified demand or on guesswork.
A university communications team, a journal's editorial office, or a research institute's digital lead is usually sitting on more institutional authority than casrai.org started with — established domain trust, faculty expertise, an existing publication record — and less of a system for turning that authority into indexed, cited, demand-verified content. That's the gap this service line closes: the same demand-verification, dedup-first, fact-checked publishing discipline, plus the GEO layer that checks whether your institution is actually being cited when someone asks an AI assistant a question you should be the authority on.
Engagements are scoped individually — pricing is a custom quote based on the size of your content footprint and whether you're adding the GEO audit track.
The starting point is the same one we used on our own site: find out what's actually being searched, and what's currently being cited, before committing a single page.
