How Periscop generates relevant prompts for every brand
The quality of AI visibility monitoring depends entirely on the quality of the questions asked. Here is how Periscop produces, for each brand, a set of prompts that reflects what its customers actually search for.
Real users don't type like a press release
When someone searches for a service in ChatGPT or Claude, they type short, in lowercase, sometimes with a typo. Measuring against overly polite prompts means monitoring a fictional reality.
"What is the best dental practice located in the Moudon area, canton of Vaud, Switzerland, able to meet the needs of an entire family?"
Too formal. AIs detect these prompts as artificial and respond differently than they would in a real conversation.
- "dentist moudon"
- "good dentist near payerne open saturday"
- "toothache emergency moudon"
- "dentist implant price vaud"
- "dentist appointment for my son moudon"
Short, natural, with context or a problem, like a real user.
A 5-step wizard: analysis, validation, generation
When creating a project, you follow a guided path in 5 steps — identity, client brief, brand terms, prompts, competitors — where the AI suggests and you validate. In the end, the prompt set produced reflects a real analysis of your client's market, not a copied template.
Client analysis → Structured brief
The AI reads the website, the business sector and any factual data you provide. It produces a structured brief that synthesizes:
families, retirees, expats…
likely local players
specialties, rare services, languages
city, neighboring municipalities, region
entry / mid / premium / luxury
counter-productive angles
Human validation
You review the brief, correct approximations and add your market knowledge. Human expertise complements the AI, not the other way around. Count 5 to 10 minutes per project, compared with 1 hour of unassisted thinking.
Prompt generation → Tailored set
The validated brief is injected into a second system prompt calibrated to reproduce real user searches. The AI produces ~20 prompts that actually leverage the client context:
- At least 3 prompts per target persona
- At least 2 prompts using a differentiator
- At least 5 geolocated prompts (city, neighboring municipalities, region)
- Mix across 6 registers (raw keywords, conversational, problem, constraints, etc.)
- Coverage of the 6 search intents (info, recommendation, comparison, local, action, general)
What this changes in practice
❌ Generic approach
- Prompts copy-pasted across every dental practice
- "Best dentist French-speaking Switzerland" 20 times
- Ignores the real area, persona, positioning
- Monitoring disconnected from the client's market
✅ Periscop approach
- Structured brief per client, AI-assisted + human review
- "Implant dentist LAMal Moudon" if the client is a specialist
- Personas + geo + USP explicitly used
- Monitoring that reflects real competition
Your market knowledge × the Periscop engine
Whether you are an in-house marketing team, an agency or an independent consultant, you know your market better than anyone. Periscop turns that knowledge into tailored monitoring, without spending an hour configuring each project.
10 minutes per project
Instead of an hour thinking about prompts, you validate an AI-pre-filled brief and add your reading of the market.
Defensible rationale
Every prompt set is traceable back to the brief. You can precisely justify why a given monitoring matches your activity.
On-the-fly variations
Periscop generates 3 natural variations of a prompt that works, in one click. Diversify effortlessly.
Test the methodology on your brand
100 free credits on signup — enough to generate a complete brief and run your first measurements.
Create my account