Scope note: This article explains the topic using public research and common engineering patterns. Retrieval, reranking, generation, and source-selection pipelines vary by product. Nothing here represents a disclosed universal ranking weight or a citation guarantee.
A page-content analyzer can estimate how much extractable main text remains after navigation, scripts, and repeated template elements are removed. That ratio is a GEOBOK editorial diagnostic—not a metric disclosed or used uniformly by AI products.
What the analysis can reveal
The check can expose pages whose primary answer is missing from the initial HTML, overwhelmed by repeated template text, or too thin to satisfy the user’s task. It is useful for comparing versions of the same page and for prioritizing manual review.
What it cannot reveal
There is no universal 16,000-token quota allocated to each webpage. Products may index passages, render pages differently, retrieve only selected sections, or use much larger or smaller working contexts. A high main-text share does not prove that a page will be retrieved or cited.
Practical implications for content teams
- Confirm that the main answer is available in accessible HTML.
- Remove intrusive or repeated elements when they hurt users; do not delete useful navigation merely to raise a score.
- Add missing evidence and explanation only when they serve the page’s user task.
- Use the ratio as a before/after editorial measure, not a citation target.
Define primary content first
Primary content helps a user complete the current page’s task. On a product page it may include the product name, use cases, specification explanations, limits, pricing conditions, and purchase path. On an article it includes the main answer, evidence, method, and conclusion. Navigation, breadcrumbs, recommendations, and footers are not automatically noise; they can support orientation but should not overwhelm the task.
A manual review procedure
- Inspect page source and a no-JavaScript view to confirm that the title and core prose exist.
- Read only the extracted primary text and ask whether topic, entity, data definitions, and next step remain clear.
- Compare mobile and desktop for accordions, overlays, and lazy loading that hide important information.
- Use repeated-template counts as supporting evidence; final judgment depends on the user task and page type.
A redesign example
Suppose extraction from a product page leaves only ‘professional quality you can trust,’ while every specification is embedded in an image. The right fix is not to minimize the footer. Publish the product category, key specifications, supported samples, measurement range, and limitations in accessible HTML, and add text explanations for charts.
How to use the tool score
Use main-content share to compare versions of the same page and flag anomalies, not to rank different sites. Homepages, help centers, product pages, and research reports should not target one ratio. Review why a score changed: richer main text, a cleaner template, or an extraction error that removed useful tables or code.
Boundary and conclusion
Call this a main-content or content-structure analysis. ‘Token density’ may describe the tool’s own calculation, but it is not a public ranking or citation metric.
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