QueryMind

SEO Navigator's semantic content engine

Give it one seed keyword. It returns a full content strategy — clusters of related topics, prioritized briefs for every article, quality scores for published content, and a knowledge graph that maps how entities in your niche connect. Four pipelines, one platform.

Topical map

Expands a seed keyword into 300+ variations, groups them into semantic clusters, and classifies each as core or supporting content.

What you get

An interactive map where every cluster has a name, priority (P1–P4), recommended content format, and gap analysis showing what competitors cover that you don't.

Team action

Drag to merge or split clusters, reclassify core vs. outer, override priorities — then batch-queue briefs for the keywords you want to write first.

Content planner

Researches competitors, extracts what facts they cover, identifies gaps, and builds a 9-section brief — ready to hand to a writer or feed into a content job.

What you get

A structured brief with heading hierarchy, target word counts per section, a "bottom line up front" summary for each H2, a copywriter checklist, and the exact differentiators to emphasize.

Team action

Review and edit sections inline, approve the brief, then one-click create a content job that skips the research steps and goes straight to drafting.

Content auditor

Scores any published page or competitor URL across six quality dimensions — from heading structure to E-E-A-T signals — and gives a 0–100 content quality score.

What you get

A breakdown of six dimensions (topic alignment, readability, information density, salience, term coverage, trust signals), plus before/after rewrite examples and an AI citability score predicting how likely AI search engines will cite the page.

Team action

Audit client pages or competitor URLs to find exactly what to improve, prioritized as critical, high, medium, or bonus — then track how scores improve over time.

Knowledge graph

Maps every entity and fact across your topic — who mentions what, which attributes are common vs. rare — and recommends internal links based on shared knowledge.

What you get

A graph of 300+ entity–attribute–value facts extracted from competitor content, with relationship strength scores showing which entities belong together — plus six analytical reports covering gaps, authority signals, and linking opportunities.

Team action

Use the entity drilldown to find content angles nobody else covers, and the internal linking table to strengthen topical authority across the client's site.

How they connect

Start with a topical map to discover what to write. Use the planner to build a research-backed brief for each keyword. Create a content job from the brief — it skips straight to drafting. After publishing, run the auditor to score what's live. The knowledge graph runs across the whole map to find linking opportunities and content gaps at the entity level. Coverage tracks automatically — you always know what percentage of your core topics are published.

Expansion
300+
keywords from 1 seed
Brief sections
9
per keyword brief
Quality score
0–100
across 6 dimensions
Knowledge
300+
entity facts extracted

Why this matters

Any language

Every pipeline works natively in the target language — no translation step, no English bias.

Graceful fallbacks

If a data source is unavailable, the system degrades smoothly — never crashes, just uses what it has.

Batch everything

Queue 10 briefs at once, batch-create content jobs from approved briefs — work flows in parallel.

Re-run any step

Not happy with clustering? Re-run just that step. Every pipeline step is independently rerunnable.