Which AI Prompts Should We Track? How to Get Started in 2025

Most brands guess which AI prompts matter. Here’s how to build a list grounded in real buyer intent so you can track, measure, and win visibility where it counts.

Author:Quinn Schwartz
Quinn Schwartz

One of the biggest question marks about GEO/AEO is knowing which prompts to track. Here’s how to build a list that actually reflects how buyers search in AI.

How to craft the best AI prompts

Use three proven sources to find the best prompts.

1. Use search and competitor data.

Start with your money keywords. These are the ones driving the most conversions and traffic for SEO. Your team should already have a comprehensive list of these.

Then check out your competitor data. If you have a traditional SEO tool, you can use it to easily spot which paid keywords fuel their growth.

For another angle, check the Google Ads Transparency Center.

Type in a competitor’s name and you’ll see a feed of their live ads, complete with screenshots. Those headlines and descriptions are a cheat sheet for which queries they care about most.

Once you have your keyword list, put it in a spreadsheet and upload the spreadsheet to ChatGPT, Claude, or your LLM of choice, and prompt it with:

“Rewrite each keyword as three natural buyer questions, adding context like segment, use-case, or constraints.”

Let’s say you’re a B2B SaaS CRM brand. You might end up with something like this:

KeywordPrompt
Salesforce alternativesWhat are the best Salesforce alternatives for a company under 100 employees?
Best crm for startupsWhat's the best CRM for early-stage SaaS teams with less than 10 sales reps?
Hubspot vs pipedriveCompare HubSpot vs Pipedrive for pipeline visibility and email sync.

2. Dig through customer conversations.

Your customers are already telling you the prompts. They just don’t call them “prompts.” You’ll find them hiding in sales calls, discovery calls, and support tickets.

Listen for recurring:

  • Questions: “How does this integrate with…” or “Can it handle X use case?”
  • Objections: “Seems expensive compared to…” or “I’m not sure it works for teams our size.”
  • Comparisons: “We’re evaluating you vs [competitor]. What’s the difference?”
  • How-to Scenarios: “How do I set up…” or “What’s the best way to…”

These are gold because they reflect how real buyers frame problems and evaluate solutions.

3. Tap into communities and UGC.

We know LLMs love Reddit. It’s full of real conversations, phrased exactly how buyers think and talk. That also makes it one of the best places to find prompt inspiration.

In the example above, you can bet this person asked AI: “What is the best CRM system for micro-saas founders?” That’s a perfect prompt to track if your product fits the bill.

Beyond Reddit, you can also scan:

  • Quora threads (“Which tool is best for…”)
  • Niche Slack or Discord groups (“Anyone using X for Y use case?”)
  • Product Hunt comments (“Does this integrate with…”)

The key is to look for natural buyer language. If people ask it in communities, they’re probably asking it in AI too.

Pro tips for prompt tracking

  1. Use variants. Small wording changes make a difference, so track multiple phrasings of each question. For example, “best CRM for startups” and “which CRM should a startup use.”
  2. Move down the funnel. AI usually answers broad, top-funnel prompts with little room for brand mentions. Mid-funnel questions are where buyers actually evaluate options. Focus there.
  3. Cover all surfaces. ChatGPT, Claude, Perplexity, etc., don’t return the same results. Tracking across models gives you a complete picture of your visibility.
  4. Don’t worry about finding the one perfect question. The key is building coverage and consistency across the ones that matter most.

Your final checklist

[ ] Pull your top keywords and competitor paid terms.

[ ] Convert them into natural buyer questions.

[ ] Add questions from sales and support conversations.

[ ] Collect real phrasing from Reddit and other communities.

[ ] Track these questions in an answer tracker to measure share of voice.