AI SEO Research Knowledge Agent

How Cassidy automates SEO research using AI

Step 1: Trigger on new keyword list or client brief

The Workflow activates when a new keyword seed list is uploaded or a client strategy document is added to the Knowledge Base—kicking off the research pipeline automatically.

Step 2: Expand and enrich the keyword universe

Cassidy pulls from connected data sources to expand seeds with autosuggest variants, People Also Ask queries, and competitor keyword footprints, then enriches each term with volume, difficulty, intent signals, and SERP feature opportunities.

Step 3: Cluster keywords by SERP similarity and intent

The Workflow analyzes top-ranking URLs to group keywords into clusters that reflect how search engines interpret intent, then maps each cluster to the appropriate content type—guide, comparison, landing page, or FAQ.

Step 4: Generate cited content briefs

Cassidy produces structured briefs for each cluster, including H1–H3 outlines, entity requirements, competitive angle gaps, internal linking plans, schema recommendations, and required citations from credible sources—all formatted to your agency's templates stored in the Knowledge Base.

Step 5: Route for Human-in-the-Loop review

Completed briefs are sent to the designated editor or strategist via Slack or Teams for approval, with full context from the Knowledge Base attached so reviewers can refine, add proprietary insights, and sign off before drafting begins.