How to Compare Supplied Content Lists With AI

Use this guide to prepare the two lists, understand what the AI infers from them, and validate the suggested gaps before adding them to your content plan.

What This Tool Actually Compares

Paste at least three keywords, page titles, slugs, or URLs from your site and at least three from a competitor. You can also add your niche and target audience, then choose whether the response should include all inferred gaps, high-priority gaps, likely quick wins, or topic-cluster gaps.

The tool sends those supplied strings to Claude, which groups semantically related items and infers likely gaps, strengths, suggested article titles, and priorities. It does not fetch either website, verify that a page ranks, or retrieve live search volume, keyword difficulty, traffic, or backlink data. If either list exceeds 150 items, only the first 150 are analyzed and the tool displays a limit notice.

How to Prepare Useful Lists

Use comparable exports where possible. For example, paste the keyword column from Google Search Console for your site and an organic-keyword export from an SEO platform for the competitor, or compare page titles from equivalent sections. Clean out navigation labels, duplicates, and unrelated pages before submitting.

The AI-assigned priority is an editorial judgment based on the text you provide, not a measured competition score. Treat “high,” “medium,” and “low” as starting points for review. Confirm demand, ranking difficulty, business value, and search intent separately before deciding what to publish.

Turning the Report Into a Content Plan

Review each cluster against your existing pages to remove false positives and avoid cannibalization. Then validate the suggested topics with your preferred keyword and SERP tools, assign the useful gaps to appropriate page types, and export the text report for planning. Rerun the comparison with fresh, consistently sourced lists when either site changes substantially.

Related tools: Keyword Research Tool · Topical Map Generator · Content Cannibalization Finder