How do you measure brand visibility in AI search without getting lost in noisy data?

To build a high-intent AI search prompt set, you must curate a stable baseline of approximately 15 prompts that map to the buyer’s decision journey: Discovery, Comparison, Alternatives, Constraints, and Evaluation. By tracking this "Core 15" consistently across platforms like Perplexity, ChatGPT, and Google AI Overviews, SEO teams and agencies can measure brand citations and share of voice with high precision, bypassing the data noise of generic, low-intent keyword rankings.

TL;DR (Key Takeaways)

• High-intent prompts mirror real-world buying decisions by including specific constraints and use-cases.

• The "Core 15" is your stable North Star baseline for tracking visibility trends over 3–6 months.

• Contextual Buckets: Organize your prompts into 5 categories to ensure full-funnel coverage.

• Visibility Tracking: Use these prompts to identify which third-party sites are currently influencing your brand’s AI citations.

Why SEO Teams Need a "Core 15" Baseline

In the era of AI search, tracking thousands of keywords is often counterproductive. AI search responses are synthesized from a few authoritative sources. To move the needle, SEO teams must focus on the specific prompts that trigger brand recommendations.

A stable set of 15 high-intent prompts allows you to:

1. Measure Share of Voice (SoV): See how often your brand appears vs. competitors for the same intent.

2. Audit Citations: Identify which domains (Reddit, industry blogs, etc.) the AI is citing to recommend your brand.

3. Benchmark Sentiment: Understand if the AI frames your product as a "premium leader" or a "budget alternative".

The Core 15 High-Intent Prompt Set (Ready to Paste)

Use this "Core 15" as your baseline for any new tracking project. Replace {category} with the industry and {brand} with the company name.

1. Category Discovery

• What are the top {category} for {specific use-case}?

• Which {category} is best for {audience type} (e.g., SEO agencies)?

• What are the most recommended {category} right now for reliability?

2. Comparison

• Compare {brand} vs {competitor 1} for {specific feature}.

• Compare {brand} vs {competitor 2} for {use-case}.

• Which is better for {goal}: {brand} or {competitor 1}?

3. Alternatives

• What are the best alternatives to {brand} for {niche requirement}?

• What are the best alternatives to {competitor 1}?

• If I can’t afford {competitor 2}, what are the best similar {category}?

4. Strategic Constraints

• What are the best {category} available under ${budget} per month?

• Which {category} is best for global teams of {team size}?

• What are the top {category} that offer {specific compliance/security}?

5. Integration & Evaluation

• Which {category} integrates best with {tool/platform}?

• What should I look for when evaluating a {category} for {long-term goal}?

Looking for more? We have a deep-dive list of 100+ category-specific prompt templates for SEO teams.
Download the 100 High-Intent Prompt List (Notion)

Ready to measure your visibility?

1. Lock in your Core 15 prompts using the templates provided above.

2. Use Amadora to audit your current brand mentions across ChatGPT and Perplexity.

3. Identify gaps in your citations to prioritize your content updates.

In this recent video from the Single Grain team (December 2025), Eric Siu breaks down how AI search is rewriting user intent and why high-value traffic now comes from users who have already consumed an AI-generated synthesis of their options.

FAQ: High-Intent Prompt Strategy

How often should we update the Core 15? Keep your Core 15 baseline stable for at least 3–6 months. Changing prompts too frequently will skew your visibility trends and make it impossible to track the ROI of your content optimizations.

Should we track branded prompts? Yes, but keep them separate. Branded prompts measure existing awareness, while category discovery prompts measure your ability to capture new market share.

How do we handle localized AI search? If you are targeting global markets, duplicate your Core 15 into the local language. AI models often interpret authority differently across languages and regions.