Case Studies
Starting with the system behind PageSeeds: a repeatable SEO workflow that researches keywords, scores opportunities, drafts articles, and keeps internal linking moving.
Turning SEO from occasional writing into an operating system
PageSeeds started as an internal answer to a simple problem: I did not need more SEO advice. I needed a system that could tell me what to do next, why it mattered, and how it connected back into the site.
The challenge
- Keyword ideas were easy to collect and hard to prioritize.
- Article creation happened in bursts instead of on a steady cadence.
- Internal links and content refreshes were the first things to slip.
- There was no reliable monthly loop from search data to published pages.
What changed
- Keyword research became continuous instead of occasional.
- Opportunities were ranked before writing started.
- Drafts and briefs were generated in repo-friendly formats.
- Interlinking became part of publishing, not cleanup work.
These are results from my own properties, not inflated client claims. The point of this case study is that the workflow repeatedly surfaced the next best keyword, the next page to improve, and the next internal link to add.
What The Workflow Actually Does
The useful part was not one article generator. It was the full loop from opportunity discovery to publishing and feedback.
Research keywords continuously
The workflow starts with real site context: search performance, topic clusters, existing content, and adjacent keyword ideas. That creates a live list of opportunities instead of a static spreadsheet.
Rank opportunities before writing
Keywords are scored against relevance, difficulty, search volume, and how close an existing page already is to ranking. This is where the system decides what deserves attention next.
Pick the best next pages
Rather than chasing everything, the workflow narrows the list to the next best articles, refreshes, and supporting pages. That keeps the monthly SEO plan focused and defensible.
Generate briefs and draft articles
Once the priority is clear, the system generates structured article plans and draft content in formats that fit the site and repository. Writing becomes a guided editing task instead of a blank page problem.
Interlink related pages as part of publishing
The workflow suggests or inserts internal links between related articles so each new page strengthens the rest of the site. This matters because isolated content rarely compounds well.
Measure, learn, and repeat
Fresh rankings and performance data feed back into the next cycle. The result is not one big SEO push. It is a repeatable operating rhythm that gets sharper over time.
Why This Worked
The result was not just more content. It was a clearer operating rhythm for SEO: find the next best move, publish it cleanly, then use new data to decide what happens next.
SEO became a monthly system
The biggest win was consistency. Instead of doing SEO only when there was spare time, the workflow created a repeatable loop for planning, writing, linking, and reviewing.
The best keywords rose to the top faster
The workflow reduced guesswork. It became easier to distinguish interesting keywords from the ones most likely to create meaningful movement for the site.
Content stopped behaving like isolated posts
Because internal linking and content relationships were built into the process, new articles helped older ones and older ones helped new ones. The site started compounding more cleanly.
That internal workflow became PageSeeds
PageSeeds is the clearer product expression of the same idea: review the site, pick the next best work, and turn SEO into an understandable operating rhythm instead of an endless backlog.
How This Fits The Rest Of The Website
This case study matters because the same underlying system appears in three forms across the site: as proof, as a service, and as a productized workflow.
PageSeeds
The product layer. This is where the SEO operating model becomes a clearer offer: next keywords, next pages, and next drafts.
Visit PageSeeds →SEO Automation Systems
The service layer. For teams that want the same kind of workflow adapted to their content model, repository, and Search Console data.
See the service →SEO Automation Package
The implementation layer for developers and hands-on operators who want a packaged version of the workflow inside VS Code.
See the package →Want A Similar SEO System For Your Site?
If your content already lives in Git, Markdown, or a structured CMS, I can adapt the same operating model to your site, your search data, and your publishing workflow.