01The corpus
Collect the relevant web.
We discover, download and normalize the public pages that shape the client’s category—from its own site and competitors to publishers, source domains and the pages appearing in search and AI answers.
Model the market before you write a word.
We collect and analyze the public web around your company, product and industry—then model what gets indexed, ranks in Google and earns AI citations. The result is a mathematically prioritized content strategy built to produce signals fast.
A faster path to measurable resultsWhat we handle
The work required to move the result.
- 01A structured corpus of relevant public webpages
- 02Sitemap discovery and index-coverage analysis
- 03Google ranking and AI-citation datasets
- 04Winning content-feature and source-pattern models
- 05Mathematically scored topic and page priorities
- 06Production-ready briefs, testing and measurement
The market corpus
The internet is the dataset. Rankings and citations are the labels.
We do not start with a keyword list. We download and structure every relevant public page we can identify across the client, its products, competitors, publishers, associations, forums and trusted source domains. That market-specific corpus shows what exists, what search engines index and which content actually wins.
02Index coverage
Map what Google keeps.
We compare sitemap URLs, discovered pages and index states to see what is indexed, what is excluded and which site, topic and page patterns are associated with reliable inclusion.
03Winning patterns
Learn from what ranks and gets cited.
Top organic pages and top AI-cited sources become the training set. We test topic depth, structure, entities, evidence, authorship, sources, links, freshness and other repeatable features.
04The decision model
Score the fastest credible path.
Each opportunity is ranked by demand, business value, competitive difficulty, citation potential and probability of movement—so production starts with the work most likely to show results quickly.
How it worksStrategy stays connected to delivery
Download and normalize
We turn relevant public webpages, sitemaps, rankings and citation sources into one structured market dataset that can be compared at scale.
Compare coverage and outcomes
Indexed and non-indexed pages reveal inclusion patterns; top-ranked and top-cited pages reveal the features associated with visibility.
Model the opportunity
We score topics, page types and content features against demand, business value, competition and the probability of earning rankings or citations.
Produce, measure and retrain
The senior team turns the highest-scoring opportunities into briefs and published content immediately. New results feed back into the model and sharpen the next production cycle.
Plain answers
Questions teams ask.
Are you literally downloading the whole internet?
No. We build a market-specific corpus: every relevant public page we can identify and responsibly access for the client, its products and its industry. The goal is category-level coverage, not an indiscriminate copy of the web.
Why compare sitemaps with indexed and non-indexed pages?
A sitemap shows what a site wants search engines to find. Index coverage shows what Google actually keeps. Comparing the two helps isolate technical, structural and content patterns linked to inclusion or exclusion.
How does the model help us move faster?
It removes much of the guesswork before production begins. The team starts with topics, formats and content features that have the strongest evidence of demand, business value and visibility potential.
Does the model guarantee rankings or AI citations?
No honest model can guarantee a probabilistic search or AI outcome. We use the largest relevant evidence set available, rank the most credible opportunities and update the model as real results arrive.
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