AI Search Intent
The classification of an AI prompt into intent categories, informational, navigational, commercial, or transactional, so brands can prioritize the prompts that drive revenue.
AI search intent is the classification of why a user asks an AI assistant a question, and commercial-intent visibility correlates far more strongly with revenue than informational visibility alone.
Explain it like I've never heard of this
Not every AI question is worth the same to a brand. Someone asking "what is CRM?" is just learning. Someone asking "what is the best CRM for a small SaaS company?" is comparing options and getting close to buying. AI search intent is the classification that tells you which is which.
Because AI answers compress the buyer journey, research, comparison, and decision can all happen in one chat, the difference between being visible for informational versus commercial prompts is enormous. Commercial-intent visibility is the revenue signal.
"AI search intent" answers: are we visible where buyers actually make decisions, or only where they browse?
Words you'll see, in plain English
These terms come up whenever people classify and act on AI prompt intent.
The why behind an AI prompt, what the user is actually trying to do.
The user wants to learn or understand something, not buy yet.
The user is comparing options and getting close to a decision.
The user is ready to buy, sign up, or take a specific action.
The user wants to reach a specific site or page.
Scoring commercial and transactional prompts more heavily because they drive revenue.
The four intent types
Each type signals a different stage of the buyer journey, and demands a different content response.
Informational
Users ask 'what is CRM?' or 'how does AI visibility work?' They want education, not a purchase link.
Commercial
Users ask 'best CRM for SaaS' or 'top AI visibility tools.' They are comparing and close to deciding.
Transactional
Users ask 'Strajist pricing' or 'sign up for Strajist.' They are ready to act.
Navigational
Users ask 'Strajist login' or 'Strajist blog.' They know the brand and want to reach it directly.
How to apply intent data
Label every tracked prompt with its intent. Weight commercial and transactional more heavily in your visibility score. Then prioritize content and PR work for the commercial prompts where the brand currently underperforms, that's where the revenue lives.
Your AI search intent checklist
- Every tracked prompt is labeled with its intent category
- Commercial and transactional prompts are weighted more heavily in scoring
- The brand's visibility is analyzed by intent type separately
- Content strategy prioritizes underperforming commercial-intent prompts
- Navigational prompts confirm the brand is findable by name
- Intent distribution is tracked over time as buyer behavior shifts
Frequently asked questions
What is search intent in ChatGPT and other assistants?
It is the why behind a prompt. Informational prompts seek understanding, navigational prompts look for a specific destination, commercial prompts compare options, and transactional prompts express purchase intent.
Why does intent matter more in AI than in search?
Because AI answers compress the buyer journey: research, comparison and decision can all happen in one chat. The difference between being visible for informational and for commercial prompts is enormous, and commercial-intent visibility correlates far more strongly with revenue than informational visibility alone.
How do I apply intent to a tracked prompt set?
Label every tracked prompt with its intent, weight commercial and transactional prompts more heavily in the visibility score, and prioritise content and PR work for the commercial prompts where the brand currently underperforms.
Is informational visibility worth anything?
Yes, but not equally. Informational mentions build familiarity and often shape how a model frames your category. They simply should not be allowed to inflate a score that leadership will read as commercial performance.
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Start free trialRelated terms
Designing and refining the set of prompts used to test AI visibility, so that the prompts reflect real buyer questions and produce stable, comparable results.
An AI system that suggests products, tools, or brands to a user in response to a question, effectively acting as a personalized buyer's guide.
Multi-turn, dialogue-based search where users refine queries through follow-up questions and the AI maintains context across the conversation.
The discipline of measuring how AI models describe, categorize, and contextualize a brand, and which sources shape those descriptions. One layer beneath visibility tracking.
Whether AI-generated answers describe a brand in positive, neutral, or negative terms.
Tracking which competitors AI models recommend in your category and how their visibility evolves over time.