What is Search Intent?
Search intent is the goal behind a search query or AI prompt: what the person actually wants to achieve. Someone typing "how does a heat pump work" wants an explanation; someone typing "heat pump installer Utrecht" wants a supplier. The words overlap, but the right answer is completely different.
A 2002 research paper by Andrei Broder described three types of web searches: informational, navigational and transactional. SEO practitioners later added commercial intent, giving the four types most teams use today: informational (learning something, such as "what is a VAT number"), navigational (reaching a specific site or brand, such as "[brand] login"), commercial (comparing options, such as "best CRM for small agencies") and transactional (buying or acting now, such as "buy running shoes size 44").
Search engines infer intent from the wording and from how people use the results. That is why each SERP favors a format: guides for informational queries, comparisons for commercial ones and shop listings for transactional ones. Prompts to AI assistants usually carry more context, so their intent is often clearer, but it can shift within a single conversation.
Why Search Intent matters for AI visibility
AI assistants answer each intent differently. Informational prompts get an explanation that often cites guides and reference sites but names few brands. Commercial prompts get a shortlist of brands with pros and cons, which is where buyers decide who to consider. Transactional prompts, and shopping questions in general, can trigger product results such as a product carousel with images, prices and merchant links. Navigational prompts return facts about one specific brand, so accuracy matters most there.
Your visibility can therefore differ sharply per intent. A brand can be cited in explanations yet missing from shortlists, or appear in shortlists without ever being used as a source. One average across all prompts hides this, so track and report your prompts per intent.
How to use Search Intent in your AI strategy
During prompt research, label every prompt with its main intent. Cover all four, with the most weight on commercial category prompts.
Match your content to the intent. Informational questions need clear guides and commercial ones need honest comparison pages. Transactional prompts need accurate product pages and feeds, while navigational ones need complete and correct brand information.
Check per model which type of answer each prompt gets (an explanation, a shortlist or products) and which sources are cited.
Report your visibility per intent group, so a gain in explanations does not hide a loss in shortlists.
Trackbase Prompt Tracking runs your prompts every 24 hours across 11 AI models and shows per prompt which brands and sources appear.
Examples of Search Intent
Informational: "How long does an e-bike battery last?" An AI assistant explains the factors and cites a Dutch bicycle webshop's maintenance guide.
Commercial: "Which payroll software suits a company with 50 employees?" The answer compares four vendors; a B2B payroll software vendor that is not among them misses the shortlist.
Transactional: "Where can I buy a quiet dishwasher under 700 euros?" ChatGPT shows a row of product cards with prices and links to several retailers.
Navigational: for "[brand] customer service", an assistant should give a meal kit service's current phone number, not an old one from a directory.
Frequently asked questions
What are the four types of search intent?
Informational (the searcher wants to learn something), navigational (they want to reach a specific site or brand), commercial (they compare options before buying) and transactional (they want to buy or act now). Many queries mix types, such as a comparison with a price limit. In AI assistants, brands and products are recommended mostly in answers to commercial and transactional prompts.
Is search intent different for AI prompts than for Google searches?
The underlying goals are the same, but prompts express them differently. They are longer and include context such as budget, audience or location. They also often combine several intents in one question. Intent can even change within a conversation: a user who starts with an explanation may ask for recommendations two messages later. Your prompt set should reflect those realistic questions.
Which search intent matters most for AI visibility?
For most brands, commercial intent matters most, because that is where AI assistants build shortlists and name competitors. Informational prompts are where you earn citations and build authority on your topic. Transactional prompts matter most for e-commerce, where product results decide which shop gets the click. Track all four, but weigh them by how close each prompt is to a buying decision.