Guru
Guru tracks every article from the moment you approve a title to the day it goes live. No spreadsheet handoffs, no manual updates, no wondering what stage something is at.
Guru produces the actual content, not just the plan. Standard articles run 1,500 to 2,500 words. Long-form guides run 3,000 words and up. Every piece goes through review and approval before it publishes.
Auto-populated from approved titles. Articles move through Queued, Writing, Review, and Live columns. Clients see the same board, no access to your internal team notes.
Full-length articles written to target a specific keyword, 1,500 to 2,500 words. Each one covers the right topics and entities, follows the structure that performs in both Google and AI search, and goes through approval before it publishes.
Every content decision moves through To Review, Approved, and Implemented. Each transition is logged with a timestamp and user. Clients can have Viewer access; approvers can be internal or client-side.
In-depth cornerstone articles of 3,000 words and up, targeting competitive broad keywords that build topical authority. These go deeper than standard articles, covering a subject in full and structured specifically for AI search best practices.
Each sprint generates a shareable link. Clients see a live bar chart of progress - articles in Queued, Writing, Review, Live - that updates in real time as your team ships work. No account needed to view.
Existing pages that need updating are prioritized by traffic drop, ranking slip, and missing entities. Guru rewrites the sections that need improvement and queues the updated page for your approval before the live version changes.
Every approved title is assigned a visible content-type label before writing starts. That label controls the outline, evidence requirements, answer shape, QA checklist, and how the finished piece is positioned for Google and AI search.
Built for buyers comparing options, categories, or vendors. The article leads with a quick verdict, then supports it with a structured table and clear tradeoffs.
Tables, ranked picks, and verdicts make the answer easy to quote in search summaries and LLM responses.
Built for task completion. The article opens with the outcome, then walks the reader through numbered steps, tools, decisions, and expected results.
Numbered steps map cleanly to instructions, featured snippets, and assistant-style procedural answers.
Built for definition and understanding. Guru gives the short definition first, then adds context, examples, related terms, and when it matters.
Definitions, TL;DRs, and concise examples create quotable passages for direct answer surfaces.
Built for high-intent clusters where buyers ask adjacent questions before converting. Each question gets a direct answer and optional expansion.
Q&A pairs map one-to-one to prompt shapes, voice answers, and people-also-ask style results.
Built for troubleshooting searches. The page identifies likely causes, rules them in or out, and gives the fastest fix before deeper context.
Cause and fix is the answer pattern people expect, and the pattern AI assistants naturally summarize.
Built for data-backed authority. Guru gathers current numbers, explains what they mean, and structures statistics so they can be cited cleanly.
Quotable numbers, source notes, and clear takeaways earn citations from articles, reports, and answer engines.
Guru does not send every keyword through the same generic article template. The label determines how the brief is assembled, how the draft is generated, and what must be true before the article can move to review.
Before writing starts, Guru classifies the approved title by search intent, SERP patterns, AI-answer shape, and conversion goal. The selected label is stored on the content item and shown in the pipeline title.
The pipeline populates automatically when titles are approved. No manual entry, no spreadsheet to update. Articles move through Writing, Review, and Live as they are produced and approved.
The pipeline populates automatically when a title is approved. Each stage is tracked, assigned, and visible to your team and to your client.
Title approved in the queue. Article writing begins automatically.
Article written to target keyword. Topics, format, internal links, and structure all handled automatically.
Draft reviewed by your team. Feedback logged inline. Client can view (not edit).
Client or team approves. Article queued for publishing with scheduled date.
Article published. Deliverable Tracker updated. Client's progress bar fills.
Your plan determines how many articles ship each sprint. Guru tracks all of them from title approval through writing, review, and publication. If something falls behind schedule, it's visible immediately, not discovered on the monthly call.
Each article is written by AI using the approved title, target keyword, recommended format, and internal link targets. The full article is ready for review without any manual setup.
Connect GSC and Guru will generate your first sprint - titles, articles, and pipeline board - within 15 minutes.