I review competitors and prepare a structured semantic core where every keyword is tied to a specific competitor page. In the end you see the full picture: which pages bring traffic, for which queries and with what search volume.
I group the semantics by competitor pages, sort them by search volume and show which clusters are actually promising for structure and traffic.
Below are practical formats by competitor count. If your competitor list is not ready yet, I can also help choose the right ones.
Good for a quick understanding of how one strong competitor gets traffic and which pages support the search visibility.
The best option when you want to see broader niche patterns and build a stronger foundation for structure and briefs.
For larger topics and competitive niches where you want the broadest possible cluster base and a strong foundation for scaling.
Within the work I export the queries for which top competitor pages rank, group them by page and sort them by search volume. The result is not a random pile of keywords, but a clean map of clusters and priority pages.
You provide a competitor list or I help choose websites with solid visibility in the top 20.
I export the queries for which strong competitor pages rank.
For each competitor I build a structure: page → keyword list → search volume → total cluster.
You receive Excel files you can immediately use for site structure, new sections and content briefs.
The main value of this semantic core is clarity: you immediately see which competitor pages are the most promising and why they rank. That helps build a better site map, prioritize sections and prepare briefs without messy manual sorting.
Send me the niche and your competitor list. If you do not have one yet, I can help choose the right sites for analysis.
Below are the key points that matter before the start: why competitor-based semantics is stronger than a plain export, what you get in Excel and how it helps build the site.
A plain keyword export often becomes a huge messy list that is hard to act on. When the semantics is distributed by competitor pages, it becomes much easier to see which sections truly work in the niche and how leading sites structure their traffic.
This is especially useful when launching a new site, expanding a catalog or building a content plan. You do not just see keywords, but understand what kind of page should target them and where the real traffic potential sits.
One competitor can offer a decent reference point, but several competitors reveal repeating pages, clusters and queries. That makes the picture less random and decisions much more confident.
If similar pages and query groups keep appearing across different sites, that is a strong signal that the topic really matters for structure and traffic. That is why the 3- and 5-competitor tiers usually create a stronger base.
In the end you keep clean Excel files that already hold the logic of the future structure. This is useful not only for SEO work, but also for the project owner, editor, copywriter and developer. Everyone sees the same priority map.
This kind of semantic core saves time and makes decisions much easier. You are not guessing topics blindly, but building the site on top of clusters that already work in the market.
No, there is no hard cap on keyword count. I collect semantics according to the visibility and structure of the selected competitors.
You receive Excel files for each competitor: pages, mapped keywords, volume sorting and total cluster volume.
Yes. You can send your own competitors, and if your list is not ready yet, I can help select the most suitable sites.
It works well for site structure planning, new sections, content planning, copy briefs and overall SEO prioritization.
