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How to Find High-Value AI Prompts in Semrush

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If Semrush prompt research feels a little abstract at first, that’s normal. You’re staring at AI topics, prompt wording, and visibility signals, and the obvious question is simple: which of these prompts are actually worth your time? This walkthrough shows you how to find the high-value ones, save the useful patterns, and turn them into content and tracking decisions you can use right away.

Key takeaways

  • What you’ll need before you start
  • Step 1: Open Semrush Prompt Research and choose a starting topic
  • Step 2: Review the top-level topic metrics first
  • Step 3: Explore related topics to find better angles
Enoch George, AI Search Consultant

Author

Enoch George

AI Search Consultant

Enoch George is an AI Search Consultant helping service businesses get cited and recommended in ChatGPT, Google AI Overviews, and Perplexity.

He specialises in GEO (Generative Engine Optimisation), AI visibility audits, and practical answer-engine strategy for founders and marketing teams.

Based on real consulting work across the UK, Germany, and the US—focused on clear entities, answerable pages, and measurable next steps.

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If Semrush prompt research feels a little abstract at first, that’s normal. You’re staring at AI topics, prompt wording, and visibility signals, and the obvious question is simple: which of these prompts are actually worth your time? This walkthrough shows you how to find the high-value ones, save the useful patterns, and turn them into content and tracking decisions you can use right away.

What you’ll need before you start

Before opening any report, get your setup straight. Prompt research gets messy fast if you jump between five products, three audiences, and every AI topic that looks interesting. Starting with one clear lane makes the data much easier to read.

Semrush access and the right report

Open Semrush and make sure you’re working inside AI Visibility, specifically Prompt Intelligence and then Research & Tracking. That matters because this workflow is about discovering prompts and understanding visibility opportunities in AI search behavior, not traditional keyword rankings.

A quick check at the start saves time later. If you’re in a different report, the numbers and filters won’t line up with the decisions you’re trying to make.

A clear brand, product, or topic focus

Pick one starting point. That can be your brand name, a product category, a feature set, or a tight use case such as “project management software for agencies” instead of just “project management.”

Here’s the thing: narrow beats broad at the beginning. A focused topic gives you cleaner prompt patterns, and cleaner patterns are what help you spot value.

A simple way to save findings

Keep a spreadsheet, doc, or project board open while you work. Save the prompt, the intent behind it, why it matters, and what action it suggests.

That tiny habit pays off. Otherwise, twenty minutes later, you’ll be scrolling back through the report trying to remember which prompt had the good angle.

Step 1: Open Semrush Prompt Research and choose a starting topic

This first step is mostly about restraint. You do not need the perfect topic. You need a useful one.

  1. Log in to Semrush.
  2. Open the AI Visibility area.
  3. Click Prompt Intelligence.
  4. Choose Research & Tracking.

Once you’re there, pause for a second and confirm you’re looking at prompt discovery data, not a brand tracking view. If the interface shows topic and prompt exploration, you’re in the right place.

Enter a broad seed topic or brand phrase

  1. Type in a broad but relevant seed term.
  2. Start with a product category, brand phrase, or common use case.
  3. Run the search and review the initial topic set.

Good examples are phrases like “CRM for small business,” “email marketing platform,” or your own brand plus a product name. Avoid going too vague. “Software” is too loose. “Email automation for Shopify stores” is much better.

Check the scope before going deeper

  1. Look at the first batch of results.
  2. Ask whether the topic feels tightly related to your business.
  3. Adjust the phrase if the report returns noisy or thin results.

Your checkpoint here is simple: you should see enough relevant prompts to analyze, but not so many random branches that the topic turns into a junk drawer. If it feels messy, tighten the phrase before moving on.

Step 2: Review the top-level topic metrics first

Before digging into individual prompts, read the topic like a headline. A fast metrics check tells you whether a subject is promising or just interesting.

Look at AI volume

  1. Find the AI volume metric for the topic.
  2. Use it as a rough signal of how often prompts in this area appear.
  3. Compare it with nearby topics instead of treating it as an absolute score.

Higher AI volume usually means stronger demand. That said, volume alone is a trap. A big number can pull you toward a topic that looks exciting but has weak business fit.

Check AI topic difficulty

  1. Review the AI topic difficulty score.
  2. Read it as a competition signal.
  3. Note where strong brands may already dominate visibility.

In plain English, difficulty tells you how hard it may be to break through. If the topic is highly competitive and your site has little authority in that area, you may want a narrower angle first.

Notice overall opportunity at a glance

  1. Weigh volume against difficulty.
  2. Check whether the topic aligns with a real offer or content goal.
  3. Mark the topics that look promising enough for prompt-level review.

The sweet spot is usually solid demand, manageable competition, and direct relevance to something you sell or publish. That combination beats raw size every time.

This is where the report starts getting useful. Your seed topic opens the door, but related topics often show the angles that actually matter.

Expand into subtopics and use cases

  1. Open the related topics area.
  2. Scan for narrower subtopics and practical use cases.
  3. Save the ones that connect clearly to your audience’s needs.

Subtopics often reveal stronger intent than broad themes. “Accounting software” is broad. “Accounting software for contractors” is specific, easier to map to a page, and often much more useful.

Spot comparison and alternative angles

  1. Look for topics built around comparison language.
  2. Notice words like “best,” “vs,” “alternative,” and “for.”
  3. Flag any angle tied to evaluation behavior.

These are often high-value because the person behind the prompt is already sorting options. That’s closer to action, and closer to action usually means more value.

Filter out irrelevant directions early

  1. Remove tangents that do not support your business goals.
  2. Ignore topics that are interesting but disconnected from your offers.
  3. Keep your saved list tight.

The catch is that AI prompt data can tempt you into rabbit holes. A topic can be fascinating and still useless. If it does not support a page, a campaign, or a tracking goal, let it go.

Step 4: Analyze the prompts table for high-value opportunities

Now you’re in the part that matters most. The prompts table turns broad ideas into a working list.

Scan prompt wording for intent

  1. Read the exact phrasing of each prompt.
  2. Notice whether it signals learning, comparison, troubleshooting, or buying intent.
  3. Save prompts that clearly match a user need you can answer.

Wording tells you a lot. “What is marketing automation” is early learning. “Best marketing automation tools for B2B SaaS” is evaluation. “HubSpot alternatives for startups” is much closer to a decision.

Sort by metrics that matter most

  1. Sort the table using the most relevant metrics available.
  2. Look for prompts with a useful mix of demand, relevance, and attainable visibility.
  3. Ignore prompts that score well on one metric but fail on fit.

Your best prompts are not always the biggest ones. Sometimes a medium-volume prompt with clearer intent and tighter brand relevance is the better bet.

Group prompts by funnel stage

  1. Create simple tags for funnel stage.
  2. Assign each saved prompt to top, middle, or bottom of funnel.
  3. Use those tags to guide content and tracking decisions.

This makes your list easier to act on. Instead of one long pile of prompts, you get a structure that matches how people actually move toward a decision.

Informational prompts

Informational prompts usually ask broad questions, definitions, or how-to queries. These are useful for educational content, glossary pages, beginner guides, and explainer sections that answer things directly.

Commercial investigation prompts

These prompts include comparisons, alternatives, “best” lists, or use-case evaluation. They often deserve comparison pages, solution pages, or content that helps someone narrow the field.

Decision-stage prompts

These are the money prompts. They signal vendor selection, product fit, or direct solution intent. If visibility for one of these prompts would matter to pipeline or sales conversations, move it near the top of your tracking list.

Step 5: Prioritize prompts with business value, not just traffic value

A prompt can be popular and still not matter. The right shortlist connects directly to your business.

Match prompts to your offers and pages

  1. Link each prompt to a product, service, feature, or content asset.
  2. Note whether you already have a page for it.
  3. Mark any prompt with no strong destination as a content gap.

If you cannot point to a page that should answer the prompt, that’s useful information. It usually means you’ve found either a missing asset or a weak part of your site.

Favor prompts with clear action potential

  1. Keep prompts that suggest an obvious next move.
  2. Prioritize prompts you can support with a page update or a new asset.
  3. Deprioritize prompts with no realistic action attached.

A high-value prompt should lead somewhere. Maybe you update copy, build an FAQ, create a comparison page, or add it to tracking. If no action is clear, the prompt probably stays in the “interesting” pile.

Create a shortlist of “must-track” prompts

  1. Cut your larger list down to a smaller core set.
  2. Choose the prompts most tied to visibility and revenue goals.
  3. Save that shortlist in a separate tab or column.

Ten strong prompts beat fifty vague ones. Keep the shortlist sharp enough that you’ll actually monitor it.

Step 6: Turn prompt findings into content opportunities

Prompt research is not the finish line. It’s the map.

Identify gaps in existing content

  1. Compare saved prompts with your current pages.
  2. Look for missing topics, weak coverage, or outdated answers.
  3. Mark the places where content does not fully address the prompt.

Sometimes the gap is obvious. A comparison prompt exists, but you only have a generic product page. Sometimes it’s smaller, like a page that answers the topic but buries the answer three scrolls down.

Map prompts to new or existing assets

  1. Decide whether each prompt needs a new asset or an update.
  2. Match educational prompts to guides and FAQs.
  3. Match evaluation prompts to comparison, category, or feature pages.

Keep it practical. Not every prompt deserves a brand-new page. Sometimes a stronger section on an existing asset is enough.

Build AI-friendly supporting content

  1. Answer the prompt directly near the top of the page.
  2. Use clear headings and tight structure.
  3. Add specific details, examples, and current information.

AI systems tend to reward clarity. If your page gets to the point fast, uses plain language, and covers the topic cleanly, you improve your chances of being referenced.

Step 7: Save, organize, and tag your best prompts

A clean system makes repeat research much easier.

Tag by topic, intent, and priority

  1. Add tags for topic.
  2. Add tags for funnel stage.
  3. Add tags for priority level.

That simple setup lets you sort fast later, especially when your list grows.

Add notes on why each prompt matters

  1. Write one short note beside each saved prompt.
  2. State why the prompt matters to your business.
  3. Include the likely content or tracking action.

A note like “strong comparison intent, no dedicated page yet” is enough. Future-you will thank you.

Separate quick wins from long-term bets

  1. Label prompts you can act on immediately.
  2. Separate prompts that need bigger authority or deeper content work.
  3. Keep both, but treat them differently.

Quick wins might be FAQ updates or small page improvements. Long-term bets might require a new content cluster or a stronger category page.

Step 8: Add your shortlisted prompts to tracking

This is where research becomes a process instead of a one-time exercise.

Choose which prompts deserve monitoring first

  1. Start with your shortlist.
  2. Pick prompts tied to key products, services, or campaigns.
  3. Focus on the prompts where visibility would matter most.

If a prompt could influence real buying decisions, track it. If it’s just loosely related, wait.

Set a tracking cadence

  1. Choose a review schedule you can stick to.
  2. Check often enough to notice movement.
  3. Avoid checking so often that every small shift feels dramatic.

Weekly or biweekly review is usually enough to stay informed without drowning in noise.

Watch for shifts in mentions and visibility

  1. Monitor changes in how your brand appears.
  2. Notice gains, drops, and new names showing up.
  3. Record changes that connect to content updates or campaigns.

This is your checkpoint: over time, you should be able to see patterns, not just snapshots. That’s what turns tracking into insight.

Step 9: Use what you find to refine your SEO and AI visibility strategy

By this point, your prompt list should influence actual decisions, not just sit in a spreadsheet.

Feed winning prompts into editorial planning

  1. Turn recurring prompt themes into content briefs.
  2. Build comparison pages and landing page updates from strong evaluation prompts.
  3. Add supporting assets where prompt clusters show demand.

Prompt data is often a better editorial signal than a vague brainstorm because it shows how questions are being framed in AI environments right now.

Improve pages already close to the mark

  1. Find pages that nearly answer a valuable prompt.
  2. Tighten structure, update details, and improve directness.
  3. Make the answer easier to extract and understand.

Often, you don’t need a new page. You just need a better one.

Share insights with your team or clients

  1. Pull your top prompts into a short summary.
  2. Show the topic, intent, value, and recommended action.
  3. Keep the presentation simple and concrete.

A plain list of “track this, update this, build this” lands better than a giant export. People act on clarity.

Troubleshooting common issues in Semrush prompt research

Every first session has a snag or two. Most are easy to fix.

The topic is too broad and results feel noisy

Narrow the seed phrase. Add the audience, use case, product type, or industry. “Analytics” is broad. “Marketing analytics tools for ecommerce” is much cleaner.

The prompt list is too small

Expand into related topics, synonyms, pain points, and adjacent categories. If brand terms are thin, try use-case phrases or problem-based prompts instead.

The prompts look relevant but not actionable

Keep only prompts that connect to a real page, offer, or content move. If the prompt cannot support a measurable action, it belongs lower on the list.

You’re not sure which prompts to track

Use a simple rule: track prompts that are relevant, show meaningful intent, and would matter if your brand appeared in the answer. If one of those pieces is missing, skip it for now.

What you should end up with and what to try next

By the end of this process, you should have three things: a focused list of high-value prompts, a clear set of content opportunities, and a small tracking set you can review over time. That’s enough to turn Semrush prompt research into something useful instead of another report you glanced at once.

Try one thing today: open one topic in Semrush, save five prompts that clearly match your business, and tag each one by intent and priority. That small shortlist is usually where the real strategy starts.

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