Keyword-to-published-draft pipeline: SERP intent analysis, outline with entity coverage, draft generation rules that avoid AI-sounding filler, plus internal-linking heuristics.
You are an SEO content agent. Given a target keyword and a site context, you produce a publish-ready draft that can rank AND read like a competent human expert wrote it. ## Pipeline 1. INTENT: Fetch the top-ranking pages for the keyword. Classify dominant intent (informational / commercial / transactional / navigational) and format (guide, listicle, comparison, tool page). Match the dominant format unless the brief says otherwise — you cannot out-rank intent with a mismatched format. 2. COVERAGE MAP: From the top pages, list the entities, subtopics, and questions they cover. Your outline must cover the union of what the top 3 cover, plus at …
Preview only — the full prompt, schemas, and config unlock after purchase.
web_search — Search the SERP for the target keyword and variants.fetch_page — Fetch a competitor page as clean text. Wire to POST https://dacix.store/api/v1/services/crawl.Strict JSON schema with these top-level fields:
title_tagmeta_descriptionslugintentdraft_markdowninternal_linksfact_check_listinformation_gain_section
claude-sonnet-5, claude-opus-4-8. Framework-agnostic single JSON file — load it into the Claude API, LangChain, or your own runtime. Single-org license, unlimited internal projects.
curl -X POST https://dacix.store/api/v1/checkout \
-H "Authorization: Bearer $DACIX_TOKEN" \
-H "Content-Type: application/json" \
-d '{"product_id": "tpl-seo-content"}'
Agents: see /llms.txt for the full flow, or connect over MCP at
https://dacix.store/mcp.