🔑Keyword Analysis Deep Dive
How Hugo extracts keywords using term frequency, analyzes density, checks placement across 5 zones, and evaluates heading-keyword alignment.
Hugo's Keyword Analysis module uses term frequency (TF) extraction to identify the most important keywords on your page, then evaluates how effectively you're using them.[1] This Premium check adds 10% weight to your overall score.
Keyword Extraction
Hugo builds a keyword map by analyzing all visible text on your page. It filters out 300+ common stop words (and, the, is, etc.), web navigation terms, and month abbreviations.[3] Both single words (unigrams) and two-word phrases (bigrams) are extracted and scored.
Two-word phrases receive a 1.5× frequency boost because multi-word keywords are typically more meaningful and targeted than single words.
Keyword Density
Keyword density measures how often your primary keyword appears relative to total word count.[2] Hugo looks at the top-ranked keyword:
Keyword Density (%)
Keyword Placement
Where keywords appear matters as much as how often. Hugo checks five critical placement zones:[1]
- Title Tag — The single most important placement for your primary keyword.[1]
- Meta Description — Reinforces relevance and can be bolded in search results.
- H1 Heading — Confirms the page's primary topic to search engines.
- Subheadings (H2–H6) — Distributes keyword relevance across content sections.
- First Paragraph — Early placement signals topical relevance to crawlers.
Placement Score (zones)
Keyword Variety
Unique Word Ratio (% unique)
Heading-Keyword Alignment
Hugo checks whether your top 5 keywords appear in your headings (H1–H6). This alignment signals that your heading structure supports your content's keyword strategy.
Heading Alignment (% aligned)
References
- [1]Google Search Central — SEO Starter Guide (Think about the words users would search for) — developers.google.com
- [2]Google Search Central — Irrelevant keywords (spam policies) — developers.google.com
- [3]Manning, C., Raghavan, P. & Schütze, H. (2008). "Introduction to Information Retrieval." Cambridge University Press, Ch. 2 (Term frequency) — nlp.stanford.edu