Prompt patterns
How users phrase category questions to AI assistants — verbatim-style pattern capture.
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Discover the real prompts people ask AI assistants (ChatGPT, Perplexity, Gemini) about your topic — the foundation of answer-engine optimization. Free, no signup.
Paid plans add prompt-level visibility tracking and AI brand sentiment — see if LLMs actually cite your brand versus competitors.
See paid plansPrompt intelligence engine
AI-prompt pattern research — the queries, follow-ups and phrasings people use with assistants in your category, mapped to content you should own.
How users phrase category questions to AI assistants — verbatim-style pattern capture.
The second and third questions behind the first — where consideration actually happens.
Which prompt types pull cited sources — and what source formatting wins the citation.
Category prompts where your brand never surfaces — the AI-share-of-voice deficit.
Prompts converted into citable content briefs — pages engineered to be quoted.
How prompt phrasing evolves as models and habits change — stay quotable quarterly.
How it works
Search tells you what people type. Prompts tell you what they mean. Research the deeper layer.
Step 01
Topic, product or niche — the territory users interrogate AI about.
1 input
Step 02
Prompt phrasings, chains and citation triggers mapped for the space.
mapped
Step 03
Where rivals get cited and you do not — ranked by volume.
ranked
Step 04
Ship citable content per gap and re-check your AI visibility.
quoted
Prompts, decoded
AI assistants mediate growing answer volume. Owning prompt space is owning tomorrow's zero-click layer.
Conversational, multi-constraint, follow-up-heavy — prompt patterns demand new content shapes.
prompt-native content earns citations first
Why Amaris vs. the rest
Research prompts now
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Speak machine
Map how your market questions AI, close citation gaps with quotable content, and stay visible in answers.
Free · No signup · Prompt map

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