Which AI prompts should you track? A practical guide
Marketers should track a balanced mix of branded, unbranded, and competitor prompts to measure AI answer engine visibility and guide content strategy.
Answer engines respond differently to prompts than traditional search engines, often incorporating details like team size or budget that reshape results. Tracking only branded queries can inflate visibility metrics without revealing true discovery-stage performance. A representative sample across buyer stages, personas, and markets helps marketers avoid drowning in noise while capturing meaningful insights. The guide emphasizes balancing prompt categories to align with how buyers actually use generative AI for research.
Unbranded prompts, which describe problems or categories without company names, measure discovery-stage visibility and typically reveal the largest gaps. These prompts should make up the largest share of a tracking set, similar to the role of nonbranded keywords in traditional SEO. Search teams must prioritize unbranded prompts to reach buyers who are still exploring options and don’t yet know which brands to consider.
Competitor prompts reveal where rivals appear during evaluation and whether a brand is seen as a credible alternative. Tracking three to five direct competitors with strong online performance provides insight into which brands answer engines favor as defaults. Answers to these prompts show whether a brand is included in the consideration set during the research phase.
HubSpot’s AEO tool monitors prompts across ChatGPT, Gemini, and Perplexity, allowing teams to compare competitor visibility and cited sources. The tool is included for Marketing Hub Professional and Enterprise customers and available standalone for $50 per month with 25 prompts included. CRM data integration helps suggest relevant prompts to track, moving beyond generic industry templates.