Service-aware
Prompt sets start with the work your client actually sells.
Build client-specific prompt sets around services, locations, buyer intent, competitors, and trust questions before tracking AI visibility.
Prompt sets start with the work your client actually sells.
Markets, suburbs, and service areas stay connected to each prompt.
Discovery includes who prospects may compare against.
Every prompt connects to a real decision pattern.
Prompt discovery turns raw services, markets, competitors, and trust questions into a structured tracking plan.
Build prompts that combine the client service, city, suburb, service area, and local buying language.
Capture the moments where prospects ask AI engines to compare providers, categories, credentials, or local options.
Track pricing questions that shape expectations before a prospect ever lands on a service page.
Map review, reputation, proof, and credibility questions into prompt groups your agency can measure.
A good GEO workflow keeps every prompt connected to service, market, intent, example language, and approval status.
Prompt Discovery gives agencies a repeatable way to move from client context to visibility-ready prompt sets.
Start with the client services, city, suburbs, service areas, and the local buying context around each offer.
Classify prompts by best provider, pricing, comparison, urgent service, trust, and decision-stage questions.
Attach local competitors, review sources, directories, profiles, and proof gaps before tracking starts.
Move only the prompts worth measuring into client visibility checks, reports, and opportunity workflows.
Use prompt discovery before the agency tracks visibility, audits AI answers, creates opportunities, or explains the strategy to a client.
Turn intake details into a trackable prompt set before the first AI visibility audit.
Build prompt groups for new cities, service lines, suburbs, and competitor sets.
Keep prompt sets aligned with campaigns, seasonal services, market shifts, and reporting priorities.
Define the questions that make audit findings easier to explain, compare, and prioritize.
Prompt discovery is the process of building the client-specific AI questions an agency should track, grouped by services, locations, buyer intent, competitors, and trust signals.
Keyword research focuses on search queries and volume. Prompt discovery focuses on natural-language AI questions that reveal recommendations, competitors, cited sources, and buyer decision context.
Start with a focused set that covers the client’s main services, markets, and buyer intents. Many agencies begin with dozens of high-quality prompts, then expand as reporting and opportunity workflows mature.
Yes. Competitor-aware prompts help agencies see who AI engines recommend, which sources support those recommendations, and where the client needs stronger proof.
Prompt sets should be reviewed when services, markets, competitors, seasonality, client priorities, or source coverage changes. Monthly review works well for active GEO retainers.
Approved prompts feed visibility runs. Those runs expose missing mentions, competitor wins, weak sources, and content gaps that become prioritized opportunity queue items.
Use GEO Catalyst to turn client services, locations, and buyer questions into approved prompt groups your agency can measure and act on.