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How BrisTechTonic Compares A Page's Headings To Its Top SERP Competitors

What the skill does: Takes a client URL + target keyword. Pulls top 10 SERP results from DataForSEO. Scrapes H1/H2/H3/H4 headings from all 11 pages. Clusters similar headings semantically (so 'Why X matters' and 'Benefits of X' count as one topic). Builds a coverage matrix. Surfaces HIGH-priority gaps (topics 7+ competitors cover that the client doesn't). Produces a copy-paste-ready new H2/H3 outline.

Why it matters: Page-1 ranking is increasingly about TOPIC COVERAGE, not just keyword presence. A page ranking on page 2 usually has the right keyword but is missing 5-10 sub-topics every page-1 result covers. Same logic AI search engines use — they cite pages that cover the topic comprehensively, not pages that just mention the keyword.

What's new: Semantic clustering of headings avoids double-counting paraphrased topics. The output is an actionable expansion plan, not just a list. Combines live competitor data with the client's actual current page.

Use cases: Page stuck on page 2. Pre-launch audit of a new pillar page draft. Quarterly content refresh prioritisation.