How can you calculate a useful SEO score for a web page? First, distinguish checklist scores from ranking predictions

A useful web page SEO score can be a page checklist score for a specific keyword, but it should not be treated as a prediction of Google rankings. The supplied discussion supports assigning points to elements such as URLs, titles, and headings to help identify gaps; it does not provide validated optimal weights. “Keyword count × 100 ÷ total word count” merely expresses a ratio based on counts. The material does not establish that this ratio represents overall SEO performance, nor does it support deriving a more accurate formula by weighting word counts in different sections.

First, decide what the score should tell you

If the goal is to check whether a page includes a target phrase in specified locations, a linear points system can provide clear checklist results. S1 recommends showing users which elements a page is missing, rather than promising that “a score of 100 means the page will rank well.”

These two purposes should not be confused: the former measures completion of a custom checklist, while the latter attempts to predict a search engine’s assessment. Even if a score makes comparisons convenient, that does not mean it uses the same scale as Google’s scoring.

Point allocations can be specific, but the weights are only examples

S1 proposed the following point allocations for exact phrase matches. They illustrate how a checklist can be converted into numbers, but should not be treated as current ranking rules:

• URL exactly matches the target phrase: 20 points.
• Page title exactly matches the target phrase: 20 points.
• H1 exactly matches the target phrase: 10 points.
• Matching H2 through H5 headings: an example allocation of 5 points each.

For example, matching only the URL and title would earn 40 points under this example; matching the H1 as well would bring the score to 50. This means one more check has been satisfied; it does not mean the likelihood of ranking has increased by the same proportion.

The original discussion did not specify a complete 100-point allocation or explain how repeated headings should be counted. These partial examples therefore cannot be presented as a complete formula ready for deployment. The material likewise provides no word-count weights for the paragraphs and link text mentioned in the question, so weights cannot simply be invented and claimed to be effective.

Keep limitations beyond the page in mind when interpreting scores

Another view in S1 emphasizes that an on-page quality score may have little relationship to Google’s scoring; it also mentions information beyond the page, such as the number and quality of inbound links. This is a reminder that checking page content alone does not justify claiming to have measured overall SEO.

S2 notes that ranking formulas are not public, making it difficult to obtain a calculation method that closely reflects how search engines actually work. These views are not entirely at odds: a custom score can help identify gaps, but that does not make it a search ranking formula. When interpreting a score, consider the target keyword, the scored elements, and what falls outside its scope, rather than looking only at the total.