Documentation

    Setup guides for getting the most out of Cogny Cloud, integration guides, MCP and API references, and technical architecture documentation. Press / to search.

    Getting Started & Setup

    How to set up Cogny Cloud for success: what to connect, what to tell the agent, and how to run the weekly loop

    01
    Set Up Cogny Cloud for Success
    The complete guide to getting value from Cogny Cloud: what Cogny is, the one-hour setup, what to expect in weeks one to four, and the weekly routine that makes it compound.
    02
    Before Your Onboarding: Checklist and Wizard
    What to decide and gather before the Cloud onboarding call, who should attend, and what the Cloud setup wizard does in its two steps.
    03
    Connect Your Data Sources
    Which integrations to connect first and why, how OAuth and API-key connections work, the GA4 and Search Console links into BigQuery, tool permissions, and the traps that cost a week.
    04
    Context and Growth Strategy
    The context layers the agent reads before every report and ticket: the generated industry, company and competitor documents, the growth strategy, the context tree, and what to put where.
    05
    Core Metrics
    Define the two to five numbers you run the business on, so every report and ticket is judged against them, and unlock the Core Metrics Drivers report.
    06
    Reports and Templates
    How scheduled reports work, which templates to enable first for your kind of business, cadence and adaptive scheduling, custom instructions, email delivery, and what reports cost.
    07
    Tickets and Approvals
    How the ticket board works, the three decisions on every ticket, why the first twenty deserve real review, how feedback teaches the agent, and how to turn on auto-execution safely.
    08
    Automations and Content Loops
    Beyond weekly reports: Autonomous Operator jobs that act through one granted tool, Content from data loops that turn a source into published pieces, and Scripts for deterministic sync work.
    09
    Coding Agent, GitHub and Cogny Sites
    Connect your repository so tickets ship as pull requests with preview deployments and visual proof, what to expect from the coding agent, and how to handle sites on a locked CMS.
    10
    Use Cogny from Your Own Agent
    Connect Claude, ChatGPT, Codex, Cursor, Lovable or the Cogny CLI to your workspace over MCP, when to use your own agent instead of the in-app chat, and what it costs.
    11
    Credits and Plans
    What the plans include, what consumes credits and what does not, rough costs per action, what happens at zero, and how to keep a Cloud workspace inside its monthly allowance.
    12
    Team, Governance and Privacy
    Roles and invitations, the weekly operating cadence that keeps the loop running, human-in-the-loop support, Cogny Shield for personal data, audit trails, and workspace deletion.
    13
    Cogny Cloud FAQ
    The questions customers ask most before and after setting up Cogny Cloud, answered plainly: trials, credits, what it does and does not do, time required, CMS support, privacy and results.

    Connecting Integrations

    The integration catalog, per-platform setup guides, and connectors that need extra steps

    Features

    How the product works under the hood

    MCP & Agents

    Use Cogny from Claude, ChatGPT, Cursor or any MCP client

    API

    REST API references and authentication guides

    Platform References

    Reference material for the platforms Cogny reads from: GA4, Google Ads, GTM, Meta, schema.org, UTMs and more

    Conversion Tracking Debugger Reference
    Complete debugging guide for conversion tracking across GTM, GA4, Google Ads, and Meta Pixel. Covers discrepancy diagnosis, BigQuery validation queries, Consent Mode v2, Enhanced Conversions, server-side tagging, and step-by-step troubleshooting flowcharts.
    Core Web Vitals Reference
    Complete technical reference for Core Web Vitals (LCP, INP, CLS): thresholds, common causes, fixes, measurement tools, CrUX BigQuery queries, web-vitals library usage, and SEO impact.
    GA4 BigQuery Export Schema Reference
    Complete reference guide to the Google Analytics 4 BigQuery export schema, including table structure, nested fields, common queries, and data processing best practices.
    GA4 Event Implementation Reference
    Complete reference for implementing Google Analytics 4 events: automatically collected, enhanced measurement, recommended, and custom events with exact parameter lists, code examples, and validation techniques.
    Google Ads Query Language (GAQL) Reference
    Complete GAQL reference covering syntax, resource types, fields, operators, date macros, and ready-to-use query patterns for campaign performance, search terms, Quality Score, geographic targeting, and more.
    Google Ads Scripts Reference
    Complete reference guide to Google Ads Scripts: JavaScript automation within Google Ads, AdsApp object model, selectors and iterators, GAQL queries, common script patterns with working code, Google Sheets integration, MCC scripts, and best practices.
    GTM Event Tracking & Setup Reference
    Complete reference guide to Google Tag Manager event tracking, including dataLayer fundamentals, trigger and variable types, GA4 tag configuration, debug mode, and implementation best practices.
    Meta Conversions API (CAPI) Setup Reference
    Complete technical reference for Meta Conversions API: architecture, event types, customer information parameters, implementation methods, deduplication, testing, and Aggregated Event Measurement.
    Schema.org Structured Data Reference
    Complete reference for Schema.org structured data markup: JSON-LD examples for every major schema type, rich results eligibility, testing tools, and implementation patterns for static sites, Next.js, React, and WordPress.
    UTM Parameter Strategy & Builder Reference
    Complete guide to UTM parameter strategy, naming conventions, GA4 channel grouping rules, auto-tagging behavior, common mistakes, and BigQuery validation queries for marketing attribution.

    Security

    Security, privacy, and compliance documentation

    Trust

    AI transparency, literacy and how to read what the agent says