“How many prompts should I track for AI search?”
The honest answer is: It depends—on your footprint, initiatives, products, and competitive set. But when you’re standing up an AEO/GEO program, a useful rule of thumb helps.
Try this heuristic: X [# of topic clusters] x Y [12–15 questions per cluster] = Z [# of AI search prompts to track].
It’s not prescriptive, but it’s a practical way to get a representative sample you can use to measure performance over time. Here’s how to apply it—and how to make your prompts work harder.
Keywords from Google Search Console and Google Ads are a natural starting point. Just remember they’re not 1:1 with prompts:
Take “project management software.” In AI search, that can reasonably expand to:
AI platforms (ChatGPT, Gemini, Perplexity, etc.) fan out a prompt into sub-queries, source across the web, synthesize, and answer. You don’t need to track every possible variation. The goal is a representative sampling across business-relevant topics.
As Scrunch data scientist Michael Iannelli put it in his post on measuring prompt performance: “Just like meteorologists don’t need to measure the temperature of every square foot of a city to report the weather, marketers don’t need to track each and every prompt to measure brand perception and competitor movement.”
Here’s a simple workflow.
Start with SEO keywords, paid search keywords, and the major product and content areas of your website. For tips on sourcing, see the monitoring section of our AI search guide under source prompts.
Group related items by common themes (e.g., use cases, competitors and alternatives, integrations, industries). These become your topic clusters (and later, your prompt clusters).
A competitor cluster, for example, might include: - [Competitor] alternatives - [Competitor] vs [Your brand] - Enterprise version of [Competitor]
Most clusters will map to 5–15 keywords. If you exceed that, split into multiple clusters.
Aim for 12–15 questions per cluster covering the full journey (advice, awareness, evaluation, comparison). Include branded and non‑branded variants.
Inform your prompts with real signals: SEO questions, PPC queries, and the questions your sales, success, and support teams field regularly.
Multiply topic clusters by questions per cluster. That output is your initial scope—then adjust up or down by cluster relevance.
As a rough guide: - Startup/SMB: ~3–100 clusters x 12–15 questions = ~36–1,500 prompts - Growth/Mid‑market: ~33–400 clusters x 12–15 questions = ~396–6,000 prompts - Enterprise: ~133–4,000+ clusters x 12–15 questions = ~1,596–60,000+ prompts
The more you track, the more organization matters. In Scrunch, you can group and analyze by: - Key Topics: auto‑categorization for major themes (product, category, pricing, etc.) - Tags: user‑defined labels (campaigns, product lines, regions, seasonality) - Filters: topic, funnel stage, persona, branded vs non‑branded, AI platform, and more
Not using Scrunch? A simple spreadsheet based on our prompt tracking framework works, too.
Phrase for clarity and intent: - Use plain language; avoid marketing speak - Ask questions, not statements - Include variations real users ask - Add geographic context when relevant
Think “What are the best online banks for small businesses?” not “online banking benefits.”
Data quality drives insight quality: - Keep prompts neutral and repeatable (avoid leading wording) - Keep phrasing stable over time so you can see real trendlines
Track both—but prioritize non‑branded prompts to see where AI ranks and recommends you when users don’t ask for you by name.
Reality‑check your prompt set against what customers actually ask. Scrunch’s Trends feature helps you spot rising topics, new categories and competitors, and seasonal shifts so what you monitor matches what the market cares about.
Use Scrunch AI Referrals and Agent Traffic to connect visibility to outcomes: - AI Referrals shows human visits to your site from AI platforms - Agent Traffic shows which URLs AI crawlers hit most frequently
Compare your most visited or crawled URLs with your prompt list to find gaps and decide which AI platforms to prioritize.
Customer behavior changes. Your prompts should, too. - Monthly: Add prompts based on AI search trends - Quarterly: Add prompts for launches, campaigns, and competitive shifts - Ongoing: Archive or update prompts that no longer matter
Traditional keyword tools estimate search volume for short phrases on web search engines. AI search is different. Scrunch focuses on visibility and engagement signals across AI models, including: - Mentions: whether your brand appears in AI answers for a prompt - Citations: whether the AI links to or references your content - AI Referrals: human visits to your site originating from AI platforms - AI Agent Traffic: crawler activity from AI agents retrieving your content
This helps you see where and how often AI systems surface your brand, which sources they cite, and whether those answers drive visits—versus relying on keyword volume alone.
Scrunch brings together monitoring, insights, and activation so you can improve how AI models see—and cite—your brand.
Yes. If you’re comfortable with keyword research, mapping to topics, and funnel‑stage content, you’ll feel at home. The keywords‑to‑prompts workflow uses familiar building blocks, and the platform layers on: - Cross‑model monitoring so you can compare performance by AI platform - Intuitive grouping and filters (topic, stage, persona, branded vs non‑branded) - Clear visibility metrics (mentions, citations) tied to outcomes (AI referrals, agent traffic)
The formula is simple; the practice is iterative. Start with a representative sample and refine as you learn. The shift from keyword tracking to prompt tracking is early, which is an advantage for teams that move now and measure consistently. Your objective isn’t perfection—it’s a clear picture of how AI sees your brand. That picture gets sharper every cycle.
Build your prompt tracking strategy with help from Scrunch. Try Scrunch free for 7 days or schedule a demo to see it in action.