How to Find AI Prompts That Actually Matter

If you try to find AI prompts without a plan, you end up with a giant pile of interesting phrases that never turn into traffic, content, or visibility gains. The good prompts are not the loudest ones. They are the ones that show how people ask for solutions, compare options, and decide who belongs in the answer.

What you’ll need before you start #

Before you touch any tool, get your setup straight. Five messy minutes here can save you an hour of cleanup later.

Access to Semrush AI Visibility and Prompt Intelligence #

You’ll want access to the parts of Semrush that support AI prompt discovery and monitoring, especially AI Visibility and Prompt Intelligence. Inside that workflow, Prompt Research helps you uncover the prompts tied to your topics, while Tracking helps you watch how your brand appears for selected prompts over time.

That split matters. Research is for discovery. Tracking is for watching movement after you decide what matters. If you blur those together, your workspace fills up with noise fast.

A starting list of topics, products, and competitors #

Pull together the words that describe your business in plain English. Start with product categories, services, features, use cases, recurring customer problems, and competitor names. If your team sells inventory software, for example, “inventory forecasting,” “warehouse planning,” “stockout prevention,” and direct rival brands all belong on the list.

Keep this first list simple. The point is not to build the perfect taxonomy on day one. The point is to walk into prompt research with terms grounded in your actual market.

A way to record patterns and decisions #

Use one spreadsheet, one doc, or one workspace. That’s enough.

Create columns for the prompt, topic, intent, platform, whether your brand appears, whether competitors appear, business relevance, and the action you might take. On a Tuesday afternoon, after the twentieth prompt variation, that little system keeps your thinking clean. More importantly, it helps you notice patterns instead of reacting to one shiny phrase at a time.

Step 1: Start with the real question you want prompt research to answer #

Prompt research gets messy when the goal is vague. “Find interesting AI prompts” sounds productive, but it usually leads nowhere.

1. Open your notes before running any searches.
2. Write the one business question you want this research to answer.
3. Keep it narrow enough that you can tell, quickly, whether a prompt belongs or not.

Success at this stage looks boring, honestly. You should have a plain sentence, not a grand strategy deck.

Pick one primary use case #

Choose one use case for the first pass. Track brand visibility. Find content gaps. Monitor competitors. Spot buying-intent prompts. Any of those can work, but only pick one to lead with.

If you try to do all four at once, every prompt starts to look “kind of useful.” That’s the trap. A narrower goal gives you cleaner research and clearer decisions.

Turn that goal into a simple research statement #

Write one sentence that acts like a filter. Something like: “Find prompts related to ecommerce returns software where AI recommends brands, compares options, or answers return-policy workflow questions.”

That sentence becomes your decision rule. If a prompt does not help answer it, set it aside. You are not trying to collect everything. You are trying to collect what matters.

Step 2: Build a seed list of terms worth exploring #

Now you need starting terms that lead to real prompt patterns. Think of this like packing for a trip. If you bring random stuff, you spend the whole time digging through your bag.

1. Create a fresh tab in your tracker for seed terms.
2. Group terms into brand, product, pain point, and competitor buckets.
3. Add only terms tied to actual offers, actual problems, or actual alternatives.

A strong seed list makes the tool sharper. A weak one makes everything look generic.

Gather brand, product, and category terms #

Start with the obvious terms tied to what you sell. Include your brand name, product names, feature names, service names, and broader category phrases. If your audience uses “knowledge base software” more often than your preferred phrase, use that too.

Include both branded and non-branded language. AI platforms often surface category-level prompts long before direct brand searches, so you need both views.

Add audience pain points and job-to-be-done phrases #

Now add phrases that describe what your audience is trying to fix or accomplish. Use everyday wording, not polished internal language. “Reduce churn,” “organize invoices,” “find duplicate files,” “compare CRM for small business,” these often reveal stronger prompt opportunities than product names alone.

Here’s the thing: people usually ask AI about the problem before asking about the tool. If your seed list skips pain points, you miss the prompts that happen earlier in the decision path.

Include competitor and alternative terms #

Add direct competitors, common substitutes, and comparison phrasing. Include terms like “alternatives,” “vs,” “better than,” and category substitutes if your market has them.

This is where hidden value shows up. A prompt that never mentions your brand but repeatedly surfaces a competitor can tell you more than a flattering prompt that already includes you.

Step 3: Use Prompt Research to find the prompts people actually use #

Now move from assumptions to discovery inside Semrush Prompt Research.

1. Enter one seed term at a time instead of dumping in a huge list.
2. Review the returned prompts for phrasing patterns and repeated themes.
3. Save relevant prompts as you go so you do not have to retrace your steps later.

Do this in batches. Ten careful searches beat fifty rushed ones.

Search by a core topic or keyword #

Start broad with one core term, then narrow from there. A broad category term shows the range of related prompts, while a more specific feature or use case term shows precision.

If “project management software” returns a flood of generic prompts, tighten to “project management software for agencies” or “project management software with client approvals.” Broad first, specific second. That rhythm usually works best.

Review prompt variations instead of stopping at exact matches #

Do not stop at the exact wording you expected. Small swaps in phrasing often reveal a different stage of intent. “Best CRM,” “CRM for consultants,” “HubSpot alternatives,” and “how to choose a CRM” sound similar on the surface, but they point to very different needs.

As you review, note modifiers that keep appearing. “Best,” “cheap,” “for startups,” “secure,” “alternatives,” “how to,” “vs,” “worth it.” Those words are signals, not decoration.

Save a first shortlist of promising prompts #

Start collecting prompts that are relevant, repeated, or commercially useful. At this stage, your shortlist does not need to be perfect. It just needs to be workable.

Add notes while the context is fresh. If a prompt looks valuable because it shows comparison intent or appears across multiple related searches, write that down now. Later, those notes make prioritization much easier.

Checkpoint: by the end of this step, you should have a list that feels focused, not endless. If you already feel buried, your seed terms are probably too broad.

Step 4: Sort prompts by intent so the good ones rise to the top #

A long list of prompts means very little until you sort by intent. Some prompts are just curiosity. Some are much closer to action.

1. Read each saved prompt and label the likely intent.
2. Mark decision-stage wording separately.
3. Split broad prompts from narrow, high-value prompts.

This is where the list starts turning into strategy.

Identify informational, evaluative, and transactional intent #

Use simple intent buckets. Informational prompts ask to learn something. Evaluative prompts compare, assess, or narrow choices. Transactional prompts show readiness to choose a tool, service, or provider.

You do not need perfect labeling. You just need a useful distinction between someone asking for education and someone asking for recommendations. Those are different content jobs.

Flag prompts with decision-making language #

Prompts containing words like “best,” “top,” “compare,” “vs,” “for ecommerce,” or “for small business” deserve special attention. They often show someone moving from browsing to choosing.

That does not mean every informational prompt is weak. It means decision-stage language usually carries more direct business value, especially if your goal is visibility where shortlists get formed.

Separate broad discovery prompts from niche high-value prompts #

Keep broad prompts because they reveal category language and top-of-funnel themes. But label them clearly. Then separate out the narrower prompts that connect to a specific use case, industry, or buyer condition.

The catch is that broad prompts often look more exciting because they feel bigger. Narrow prompts often matter more because they map to an actual decision.

Step 5: Check where your brand appears and where it disappears #

Once the prompt list is sorted, the next question is visibility. Are you in the answer, or missing from it?

1. Review your shortlisted prompts in Semrush AI Visibility and related tracking views.
2. Note where your brand is mentioned directly.
3. Record where competing brands appear instead.

This step is less about ego and more about signal.

Look for direct brand mentions in AI responses #

When your brand appears, do not just mark it as a win and move on. Look at the pattern. What types of prompts surface you? Are they product comparisons, tutorials, alternatives, or category explainers?

That pattern becomes a clue about what AI systems associate with your brand right now. It is your baseline.

Spot prompts where competitors appear instead #

This is often the more useful view. If competitors keep showing up for prompts tied to your category, use case, or buyer needs, pay attention to that gap.

Maybe the missing piece is content depth. Maybe the language on your site does not match the way people phrase the problem. Maybe comparison content is absent. The gap tells you where to look next.

Note platform-specific differences #

The same prompt can behave differently across ChatGPT, Google AI, Gemini, and Perplexity. One platform might surface publishers heavily, while another leans toward software brands or product pages.

Treat those differences as clues. If your audience lives in one platform more than another, that affects which gaps matter most. Record platform differences directly in your tracker so you can compare them later without guessing from memory.

Step 6: Judge which prompts actually matter to your business #

This is the filtering step that saves you from chasing vanity.

1. Add a business relevance score to each prompt.
2. Move high-value prompts into a priority group.
3. Cut prompts that will not influence content, SEO, or positioning decisions.

Not every prompt deserves a page, a report mention, or a tracking slot.

Score each prompt for business relevance #

Use a simple scale, such as 1 to 3 or 1 to 5. Score based on how closely the prompt connects to your offer, your target audience, and your current goals.

A prompt can be popular and still be useless. If it attracts the wrong audience or sits far outside your market, it should not outrank a smaller prompt tied to a real buying situation.

Prioritize prompts tied to money, trust, or category entry #

Move prompts higher if they influence vendor shortlists, recommendations, alternatives, setup decisions, or first impressions in your category. Prompts about security, pricing, comparisons, implementation, and fit often matter a lot because they shape trust.

Category-entry prompts matter too. If someone asks AI “best payroll software for restaurants,” that may be the first shortlist your brand ever enters. That is not a small moment.

Filter out vanity prompts and curiosity traps #

Some prompts feel interesting because they are broad, trendy, or adjacent to your niche. But if they do not lead to a meaningful content move or visibility decision, cut them.

A good rule: if you cannot explain why a prompt matters in one sentence, it probably does not belong on the priority list.

Step 7: Turn prompt findings into content opportunities #

Prompt research should lead to something publishable or improvable. Otherwise, it is just a spreadsheet hobby.

1. Match priority prompts to existing pages first.
2. Identify prompts with no strong content home.
3. Choose the content format that fits the prompt’s intent.

This is where research starts paying rent.

Match prompts to existing pages first #

Look at your current pages before planning anything new. You may already have a solid page that only needs sharper headings, clearer terminology, updated examples, or a stronger comparison section.

Sometimes the best move is not a new article. It is a smarter version of a page you already own.

Create new content for prompt gaps #

For prompts with no natural destination on your site, create something purpose-built. A comparison prompt may need a comparison page. A product-use prompt may need a tutorial. An alternatives prompt may need a direct alternatives article.

Keep the page tightly aligned to the question behind the prompt. Loose relevance is rarely enough.

Align format with prompt intent #

Format matters more than many teams admit. A “how to reduce return fraud” prompt wants a practical guide. A “best expense software for startups” prompt wants comparison-oriented content. A branded “alternative” prompt wants direct positioning.

The format should fit the question like the right drawer for the right tool. When the format is wrong, even good information feels off.

Step 8: Set up prompt tracking so you can watch changes over time #

A one-time snapshot is useful. Ongoing tracking is better.

1. Choose a small set of prompts to monitor.
2. Group them by theme or funnel stage.
3. Review them on a schedule you can actually keep.

That last part matters more than people like to admit.

Select a focused set of prompts to track #

Start with a manageable group, not everything you found. Pick prompts tied to brand visibility, competitor comparisons, alternatives, and your most important commercial topics.

Ten to twenty high-value prompts can tell you a lot. One hundred random prompts usually tell you nothing clearly.

Organize prompts by theme or funnel stage #

Group tracked prompts into buckets such as awareness, evaluation, alternatives, use cases, or branded queries. That structure makes reporting easier and helps you notice where movement is happening.

If all your gains show up in awareness prompts but not in comparison prompts, that means something. Bucketing helps you see it.

Set a review cadence you’ll actually keep #

Choose weekly or monthly reviews depending on how fast your space moves and how often your team can act. A simple monthly check is often enough to spot trends without turning this into another dashboard you ignore.

Checkpoint: your tracking setup is working if you can glance at it and tell what changed, where, and why it matters.

Step 9: Use prompt insights to improve your SEO and AI visibility strategy #

Now use what you learned. This is where prompt data becomes a repeatable workflow instead of a one-off research session.

1. Update page language using real prompt wording.
2. Improve pages tied to comparisons and alternatives.
3. Feed prompt insights into editorial planning and reporting.

Small changes here can compound.

Refine page topics and on-page language #

Review your headings, supporting sections, and terminology. If valuable prompts consistently use phrasing your pages ignore, fix that mismatch.

You do not need to stuff exact phrases everywhere. You do need your pages to speak the same language your audience uses when asking AI for help.

Strengthen comparison and alternatives content #

Comparison prompts often punch above their weight. If your site lacks honest, useful pages for “vs,” “best,” and “alternative” searches, that gap will keep showing up in AI visibility too.

Make those pages direct. Address tradeoffs, fit, pricing context, and use cases clearly. Vague comparison pages rarely earn trust.

Feed prompt trends into editorial and reporting #

Use prompt findings to shape your content calendar, update stakeholders, and monitor competitive movement. If new prompt clusters keep appearing around a use case or buyer concern, that trend belongs in planning.

This is how prompt research becomes part of your SEO and AI visibility rhythm instead of a one-time experiment.

Troubleshooting: Common issues when you try to find AI prompts #

Even with a clean process, a few problems show up again and again. The fix is usually simpler than it looks.

You’re finding too many prompts and none feel useful #

Go back to your research statement and tighten your seed terms. Broad category searches can flood you with generic prompts that look relevant but are too far from your goals.

Then re-score for business relevance. More prompts do not mean better research. Usually the opposite.

Your brand doesn’t appear for important prompts #

Look closely at the brands that do appear and the content behind those mentions. Notice the page types, the language patterns, and the use cases they cover.

Then turn that gap into action. Update category pages, build comparison content, improve entity clarity, and make sure your site actually answers the question the prompt is asking.

The same prompt behaves differently across AI platforms #

That is normal. Treat the variation as insight, not failure.

Record which platform surfaces which brand or source pattern, then prioritize according to where your audience is most likely to ask. You do not need identical results everywhere to make progress.

Your prompt list keeps drifting into low-intent topics #

Re-score the list using buyer-stage language, audience fit, and commercial relevance. If a prompt would not shape your next content decision, tracking choice, or visibility move, drop it.

Cleaning the list is not losing data. It is improving signal.

What success looks like after you finish #

If this process worked, you should end up with fewer prompts than you started with, and that is a good sign. The list should feel sharper, more useful, and easier to act on.

A prioritized prompt list tied to clear goals #

Your final list should be sorted by intent, relevance, visibility gap, and business value. Not a messy pile of “maybe useful” phrases, but a focused set you can actually work from.

That clarity is the whole point.

A tracking setup for ongoing AI visibility monitoring #

You should also have a simple tracking structure in Semrush and in your own notes, with prompts grouped by theme and reviewed on a steady cadence.

Once that system is in place, changes stop feeling random. You can see movement, compare platforms, and react with purpose.

One next move to try right away #

Pick five high-value prompts from your list today. Match each one to an existing page or a missing content asset, then update or create the one with the clearest business value first. That single move turns prompt research into something useful, fast.