Rank in AI answers.
Keyqora analyzes buyer prompts, studies how AI assistants search for answers, and turns repeated patterns into keywords, topics, and content briefs.
Built for the practical work between prompt research, keyword discovery, and content planning.
Start with the prompt your buyer would ask an AI assistant.
Keyqora breaks the prompt into the search patterns, keywords, cited pages, and content ideas needed to compete for that answer.
Turn AI answer research into content decisions.
Keyqora gives your team a prioritized plan: what keywords to include, what existing pages to improve, and which new articles to create next.
From AI answer research to a clear set of actions.
Built for teams that already know SEO, but need clearer guidance on what to publish, update, and prioritize for AI answers.
Search patterns
See how AI assistants interpret a buyer prompt and what terms they use to search for answers.
Keyword opportunities
Find recurring terms, entities, and phrases that your content should include to compete.
Content gaps
Identify missing comparisons, definitions, proof points, and angles your current pages skip.
Page recommendations
Know which existing pages to update with stronger context, structure, and internal links.
New content briefs
Turn each prompt into article ideas, outlines, and next steps your team can publish.
Keyqora sits between SEO research and AI visibility tracking.
Built for teams turning research into content decisions.
SEO agencies
Audit how client pages compare with cited sources and turn recurring gaps into prioritized briefs.
SaaS content teams
Understand which proof points and evaluation criteria AI assistants reuse before refreshing BOFU content.
Niche publishers
Find missing angles across affiliate, review, and informational pages without chasing generic keyword lists.
Practical answers for an early product.
Bring AI citation research into your content workflow.
Join the waitlist for product updates, sample exports, and setup notes for prompt-level analysis.