TOPICS & PROMPTS

How to choose the right prompts

Prompts are the queries OptimizeGEO tracks to measure how visible your brand is in AI search. Choosing the right ones is the most important part of your setup. Here’s what you need to know.

THE BASICS

What’s the difference between branded and non-branded prompts?

Branded prompts mention your brand by name. Non-branded prompts are problem- or category-led - no brand mention required.

When your brand is in the query, AI systems are naturally more likely to include you in the response. In non-branded prompts, you’re competing to be chosen based on relevance, context, and the strength of signals available - a much more meaningful test.

Why do non-branded prompts matter so much?

Because that’s where most decisions start. AI search behavior is heavily problem-first, not brand-first. If you only track branded prompts, you’re measuring how you show up when people already know about you - not when they’re exploring options and deciding what to buy.

Non-branded prompts tell you whether you’re even in the consideration set, whether competitors are showing up in your place, and where you’re missing demand entirely. Without them, you’re essentially blind to discovery.

What’s the right ratio of branded to non-branded prompts?

A good benchmark is roughly 10–15% branded and 85–90% non-branded.

Too many branded prompts inflate your AI visibility score, since models are more likely to include you when your name is already in the query. Non-branded prompts reflect true discovery - where AI decides which brands to recommend on merit alone. Branded prompts are still worth tracking for sentiment, positioning, and citation sources, but should remain a smaller share.

SELECTING THE RIGHT PROMPTS

How do I know which prompts to track?

Think in two dimensions: coverage and flow.

Coverage means including the full range of prompt types a buyer might use:

Flow means understanding that AI search is conversational - users don’t ask a single query, they move through a chain. A single purchase journey might look like this:

A strong prompt list captures both breadth (problem, solution, comparison) and depth (follow-up prompts within each journey). It doesn’t just capture what people ask - it captures how they arrive at a decision.

What kinds of pain points should my prompts cover?

Think about the real-world friction your customers experience - the problems that drive them to search for a solution. These typically fall into a few recurring categories, regardless of industry:

The goal is to think like a customer who has a problem, not like a marketer who has a product. Prompts anchored in genuine pain points generate far richer visibility data than prompts built around features or positioning.

Should prompts reflect how my brand describes itself?

No - and this is one of the most common mistakes. Your internal product language almost never reflects how buyers actually search. Prompts should be grounded in how your customers describe their problems, not how you describe your solutions.

That means starting from jobs-to-be-done and pain points, not features and positioning. The most useful source isn’t your website or sales deck - it’s how buyers actually talk: forums, Q&A threads, support tickets, and real conversations about the problem your product solves.

How do we make sure prompts are clean and consistent?

Raw customer language is messy - full of local context, emotion, and shorthand that AI search engines respond to inconsistently. Before prompts are ready to track, they need to be normalized: converted into clean, neutral phrasing that reliably produces comparable results across runs.

This step is what makes your prompt set signal-rich rather than noisy - and what ensures you’re measuring AI visibility consistently over time, not just capturing a one-off snapshot.

WHAT SEPARATES GOOD FROM BAD

What does a weak prompt list look like - and why does it matter?

A weak prompt list produces misleading visibility data. The most common failure modes are guessing at prompts without grounding them in real customer language, overfitting to your own worldview (tracking how you’d describe your category, not how buyers search), and loading up on feature-based prompts that have no real search demand.

The difference isn’t just methodological - a weak prompt list means you can look at strong visibility scores and still be flying blind on the queries that drive decisions.

HOW WE WORK WITH YOU

How OptimizeGEO builds your prompt set

The platform builds your prompt list from the ground up, grounded in real market demand rather than assumptions. Here’s how it works:

1. We start with your target segments, competitor set, priority regions, and any audiences you want to exclude - so it’s scoped to the market that actually matters to you.
2. The platform researches how your customers actually describe their problems - using real conversations, forums, and Q&A threads rather than product descriptions or marketing language.
3. It groups recurring questions into themes that reflect genuine pain points, not marketing categories. It observes patterns rather than invents them.
4. It normalizes those questions into clean, neutral prompts that AI search engines respond to consistently - keeping the core pain and workflow, removing noise.
5. The result is a structured prompt set ready for scanning: grounded in real demand, free of branding bias, aligned to the customer segments that matter most to you, and built to produce signal-rich visibility data over time.