How IndexPine works
The full research → plan → write → publish → monitor → heal pipeline, explained step by step.
Most AI writing tools are sophisticated text generators. IndexPine is an end-to-end SEO system. It does not just write; it decides what to write, publishes it, tracks how it performs, and fixes it when it stops working. Here is how each stage works.
Stage 1 — Site analysis
When you add a site, IndexPine crawls your domain and builds three internal models: (1) a semantic map of every topic your site already covers, (2) a brand voice fingerprint derived from your existing content, and (3) a gap analysis comparing your coverage against your top five competitors. This analysis is re-run every week to stay current.
Stage 2 — Keyword selection
IndexPine maintains a keyword pipeline for your site. It seeds the pipeline automatically from three sources:
- Google Search Console impressions — queries where you appear on page 2 or 3 are the highest-ROI targets because you already have some authority there.
- Competitor content gap analysis — topics your competitors rank for that you have never published.
- AI-driven topical expansion — semantically adjacent subtopics that fill out your authority map.
You can also add keywords manually at any time. Keywords flow through a priority queue sorted by estimated traffic opportunity divided by current difficulty, ensuring IndexPine always works on the highest-leverage targets first.
Stage 3 — Research
Before writing a single word, IndexPine runs a structured research pass for the selected keyword. It fetches and parses the current top-10 ranking pages, extracts the key entities, statistics, and claims they cover, identifies freshness signals (how recently competitor pages were updated), and compiles a structured brief.
Stage 4 — Writing with brand voice RAG
The brief is passed to the Brand Voice RAG pipeline. IndexPine does not just prompt an LLM with "write like my brand." It builds a real-time retrieval index from your existing best content and pulls matching passages during generation so the model writes using your actual vocabulary, sentence structure, and stylistic preferences — not a generic approximation of them.
Stage 5 — Anti-slop quality gate
Before saving the draft, every article passes through an automated quality gate that checks for: filler phrases ("it is important to note", "in conclusion"), overused LLM words ("delve", "elevate", "leverage"), passive constructions above a threshold, and factual consistency against the sourced research. Sections that fail are automatically rewritten.
Stage 6 — Publishing
The finished article is pushed directly to your CMS via the configured integration. For WordPress this is the REST API. For Ghost the Admin API. For Webflow the Data API. For others, a structured webhook payload. The featured image is generated and uploaded to your media library as part of the same request.
Stage 7 — Rank monitoring and self-healing (on demand)
When you run a Self-Healing audit from the dashboard, IndexPine queries your real Google Search Console position data for every URL it has published and compares a recent window against an earlier one. Any article that dropped 4+ positions, or fell off page 1 entirely, is regenerated for its original keyword and republished in place on your CMS. This is triggered by you, not a background process — see the Self-Healing Engine page for the exact detection logic.
Explore key components
Brand Voice RAG
Deep-dive into how vector search extracts your authentic writing style.
Self-Healing Engine
Learn how automated rank monitoring and updates work in detail.
Google Search Console
How GSC data fuels keyword discovery and rank tracking.
GEO Optimizer
Optimise your articles to be cited by AI engines like ChatGPT and Perplexity.