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Prompt management and suggestions

Build a measurement set from buyer questions with domain- or topic-based suggestions, intent classification, demand context, and scheduled answer analysis.

An advance subscription is required to use the service. Send your request using the form below.

One measurement system
OpenAI APIGemini APIPerplexity APIGoogle AI OverviewGoogle AI ModeChatGPT

API measurements and separately measured interfaces can produce different results. Measurements describe the configured prompts and retrieval context.

AI Visibility

What question does it answer?

Build a measurement set from buyer questions with domain- or topic-based suggestions, intent classification, demand context, and scheduled answer analysis. A project, domain or topic, editing permission, and background processing are required. Accepted prompts follow subscription limits and enabled providers. Related Google demand is not AI prompt usage volume.

Sample project

Explore this feature with sample data

Northstar · illustrative project · comparable 30-day periods. These examples explain how to use and interpret the measurements.

Sample suggestions

15

Accepted

12

Dismissed after review

3
Accepted sample prompts by search intent

Figures shown are illustrative sample data.

Accepted prompts during the sample setup
0 7.5 15 3 Week 1 6 Week 2 9 Week 3 12 Week 4

Cumulative illustration ending at twelve accepted prompts, not a weekly generation commitment.

Figures shown are illustrative sample data.

From measurement to a decision
  1. Select an owned domain or enter a topic
  2. Review intent, relevance, rationale, and demand context
  3. Accept useful candidates and dismiss irrelevant ones
  4. Measure enabled providers and inspect Prompt 360 results
Detailed sample breakdown
Metric / scopeSample valueInterpretation
“What does an AI SEO audit check?”InformationalRelated topic: AI SEO audit
“How do I choose an AI SEO provider?”RecommendationNon-brand question
“How do AI SEO and traditional SEO differ?”ComparisonDifferent intent in the same topic
Related Google demandSeparate scopeNot ChatGPT prompt volume

Figures shown are illustrative sample data.

How should you read the result?

Twelve of fifteen sample candidates were accepted. The chart groups only those twelve. Candidate counts are not measurement outcomes or guaranteed generation counts.

Which decision does it support?

Balance intents so you measure general buying questions alongside brand and informational questions.

What should you check first?

High related search demand does not automatically make a prompt relevant. Check subscription limits and language-market settings.

What do you see?

  • Domain or keyword focus with relevance and rationale
  • Informational, comparison, recommendation, and transactional intents
  • Related Google Ads demand context, language, market, tags, and provider scheduling

How do you use it to decide?

  1. Select an owned domain or enter a topic
  2. Review intent, relevance, rationale, and demand context
  3. Accept useful candidates and dismiss irrelevant ones
  4. Measure enabled providers and inspect Prompt 360 results
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An illustrative use case

An AI SEO audit topic produces information, comparison, and supplier-selection questions. Demand context helps review candidates, while business relevance determines selection.

An illustrative scenario, not a customer result or a promise of results.

What does measurement require?

A project, domain or topic, editing permission, and background processing are required. Accepted prompts follow subscription limits and enabled providers. Related Google demand is not AI prompt usage volume.

Frequently asked questions

Do suggestions automatically become measurements?

You accept a candidate first. Accepted prompts use authorised providers; without enabled providers they can be paused.

Is demand the number of ChatGPT questions?

No. It describes related Google searches using Google Ads data, not direct AI prompt usage.

How are prompts analysed?

Answers are retrieved and saved, then processed for mentions, measurable positions, sentiment, and sources. Available returned subqueries are tracked separately.

What should I check before comparing periods?

Check the selected question or URL, filters, sample size, source coverage, and data freshness. Different scopes can produce differences unrelated to a real change.

Does missing data mean zero performance?

No. A source connection, retrieval, or processing step may be missing. Check availability before interpreting an empty block.

Can I use this to guarantee an AI recommendation?

The feature supports evidence-based investigation. It does not control provider answers or guarantee recommendations or citations.

Related features

Make your AI presence measurable

Request a quote for your project

Tell us which brand and website you want to measure and what question you need to answer. We will discuss the subscription and data connections your project requires.