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SEO

NLP-Friendly Content Rewriter

Drops in a single content section and rewrites it so it answers the underlying query more directly, reading cleanly to both search engines' NLP models and human readers. Useful for passages that ramble, bury the answer, or read vague — no setup is needed beyond the text itself, which makes it a fast mid-edit fix rather than a full content rewrite workflow.

Prompt
Rewrite the article in an NLP-friendly way:

{content_section}
Download .md

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Backlink Gap Outreach Campaign Generator

A deep-research protocol for turning a backlink gap export into page-level outreach targets, not just competitor domains. - Inputs: backlink gap data, your URLs to promote, your niche or value proposition - Finds the exact page on each domain worth targeting via site: searches - Hunts down the real contact, an author or editor, via search patterns and LinkedIn - Drafts a 150-200 word personalized outreach email referencing their exact article - Output: domain, their page URL, your URL, link context, email copy, and contact

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Canonical Tag Implementation Helper

Give it the type of site, why the same content is reachable through multiple URLs (tagging, filtering, tracking parameters), and the CMS or platform in use, and it returns ready-to-paste canonical tag code for that exact stack. A follow-up pass lists common implementation pitfalls, like self-referencing errors and conflicting canonicals, so you can sanity-check the fix, and flags when a permanent redirect is the better call instead of a canonical tag.

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Cluster Keywords By Opportunity Score

Takes a raw keyword export CSV with search volumes plus your current site structure and turns it into page-ready clusters instead of a flat keyword list. It groups semantically related terms, maps each cluster to an existing page or flags where a new page is needed, and scores opportunity by combined volume, competition, and business relevance. The output also flags cannibalization risk between overlapping clusters and ranks the top five clusters worth pursuing first.