Buyer Intent Keywords Convert Better. Here’s How to Find Them

In this article, you’ll learn what buyer intent keywords are and why they consistently outperform other keyword types for conversions. You’ll get a step-by-step process for finding them using SEO tools, learn how to steal your competitors’ highest-converting keywords, and discover how to pick the right ones based on traffic potential, competition, and cost. You’ll also learn how to find the buyer intent prompts people are typing into AI search engines like ChatGPT and Perplexity — a channel most marketers are still ignoring — and whether to pursue your keywords with SEO, PPC, or both.

Types and examples of buyer intent keywords

Before you start hunting for buyer intent keywords, it helps to understand the different categories. This isn’t an academic exercise — the category tells you what kind of content to create and where the searcher sits in their buying journey.

A few things to notice here. First, commercial investigation keywords are often the sweet spot for content marketers. They have decent volume, clear buying intent, and they respond well to comparison posts, buying guides, and review-style content. Second, long-tail buyer intent keywords are where smaller brands can punch above their weight — the competition is lower, and the specificity means the visitor is much further along in their decision.

One thing the standard “four types of search intent” framework misses: many keywords blend multiple intents. Someone searching “best project management tool for remote teams” is both investigating options (commercial) and close to making a decision (transactional). Don’t get too rigid with categories. Focus instead on whether the keyword signals proximity to a purchase.

How to find buyer intent keywords

The most reliable way to find buyer-intent keywords is to use an SEO tool that lets you filter by SERP features like ads and shopping carousels.

Here’s why this works: if Google is showing ads on a keyword, it means advertisers are paying to be there. Advertisers pay to be there because those clicks convert. The presence of ads is a proxy signal for commercial intent — and it catches keywords that don’t contain the typical “buy” or “best” modifiers.

Here’s the step-by-step process.

Step 1: Start with broad seed keywords

Open a keyword research tool (Ahrefs Keywords Explorer, Semrush, or even Analyze AI’s free Keyword Generator) and enter a few broad terms related to your business.

For example, if you sell project management software, you’d enter terms like “project management,” “task management,” “team collaboration,” and “work management tool.”

Don’t overthink this step. You just need starting points that describe your product category. If you’re stuck, ask ChatGPT to suggest 10 seed keywords for your niche — it’s surprisingly good at this.

Step 2: Filter for commercial SERP features

Go to the Matching Terms (or equivalent) report and apply filters for SERP features that indicate buying intent:

• Top ads: Keywords where Google shows paid ads above organic results.

• Shopping ads: Keywords that trigger product carousels (critical for e-commerce).

• Featured snippets: Often appear on “best” and comparison queries.

This single filter eliminates most informational keywords and surfaces the ones where money is changing hands.

Step 3: Sort by CPC to surface high-intent terms

Once you’ve filtered by SERP features, sort the results by Cost Per Click (CPC) in descending order. High CPC means advertisers are willing to pay more per click, which almost always correlates with higher conversion rates.

A keyword with a $15 CPC is almost certainly more commercially valuable than one with a $0.50 CPC, even if the lower-CPC keyword has five times the search volume.

You can also use Analyze AI’s free Keyword Difficulty Checker to quickly assess how hard it will be to rank organically for any keyword you find during this process.

Step 4: Verify intent by checking the SERPs

Not every keyword that passes the filters above will be a genuine buyer intent keyword for your business. You need to manually check the search results to verify.

Click into the SERP for each keyword and ask:

• Are the top-ranking pages product pages, pricing pages, comparison posts, or buying guides? If yes, you’ve confirmed buyer intent.

• Are the top results informational blog posts or Wikipedia entries? If so, the intent may be more informational than commercial, despite the ads.

• Do the pages have clear CTAs — demo requests, free trials, add-to-cart buttons? This confirms transactional intent.

Many keyword tools now include AI-powered intent identification that classifies intent for you. But don’t rely on it blindly. Spend 30 seconds scanning the actual results. It’s the most reliable check.

Step 5: Save your winners to a keyword list

As you identify relevant buyer intent keywords, save them to a dedicated list. Organize them by intent type or by the product/feature they relate to.

This list becomes your roadmap for content creation and paid search campaigns. You’ll revisit it in the “how to choose” section below.

Modifier words to try when filters fall short

If you’re in a niche where there aren’t many advertisers — early-stage categories, B2B niches, or emerging markets — the SERP features filter won’t return many results. In that case, use modifier words to surface buyer intent keywords manually.

Add these terms to your “Include” filter: buy, order, best, top, review, comparison, vs, alternative, pricing, cost, discount, deal, near me, for [use case], for [audience].

Then manually verify each keyword by checking the SERPs, exactly as described in Step 4.

How to find your competitors’ buyer intent keywords

Your competitors have already done some of the hard work for you. They’ve identified buyer intent keywords, created content for them, and in some cases, are paying for ads on them. You can reverse-engineer their strategy and find opportunities they’re capitalizing on that you’re not.

Find their organic buyer intent keywords

Here’s how:

1. Open a competitive analysis tool (Ahrefs Site Explorer, Semrush, or similar) and enter your competitor’s domain.

2. Navigate to the Organic Keywords report.

3. Apply the same SERP features filter you used above: “Top ads” or “Shopping ads” on SERP.

4. Sort by CPC descending.

You’re now looking at your competitor’s buyer intent keywords that also have organic rankings. These are the keywords where they’re capturing demand from Google — and where you could, too.

Pay special attention to keywords where your competitor ranks in positions 4–10. These are keywords where the SERP is competitive but not locked down. You may be able to outrank them with stronger content.

Spy on their paid keywords

Want to know exactly which buyer intent keywords your competitors think are worth paying for? Check their paid keywords report.

One important detail: check the country filter. Your competitor might be running ads in different markets, each with different keyword costs. Make sure you’re looking at the right geography.

Find their competitive gaps in AI search

Here’s something most guides on buyer intent keywords miss entirely: your competitors are also being recommended (or not) by AI search engines like ChatGPT, Perplexity, Claude, and Google’s AI Mode. And this is a gap you can exploit.

When someone asks ChatGPT “what’s the best CRM for small sales teams,” the model will recommend specific products. If your competitor shows up and you don’t, that’s a buyer intent gap — one that’s invisible to traditional keyword research tools.

Analyze AI tracks exactly this. In the Competitors dashboard, you can see which competitors are being mentioned alongside your brand in AI-generated answers, how often they appear, and which prompts trigger those mentions.

You can also add new competitors to track at any time. Just enter their name and domain, and Analyze AI will start monitoring their mentions across all major AI platforms.

This gives you a view of buyer intent that no traditional SEO competitor analysis tool provides — the ability to see who’s winning purchase-ready prompts in AI search, not just in Google.

How to discover buyer intent prompts in AI search

Traditional keyword research tells you what people type into Google. But a growing number of buyers are now asking questions like “what’s the best email marketing platform for Shopify stores?” directly to ChatGPT, Perplexity, Claude, or Google’s AI Mode.

These aren’t SEO keywords in the traditional sense. They’re prompts — natural-language questions that carry strong buyer intent. And if you’re not tracking them, you’re flying blind on a channel that’s growing fast.

Here’s the thing most marketers miss: the prompts people type into AI search engines are often more commercially specific than what they type into Google. A Google search might be “best email marketing tool.” The same buyer might ask ChatGPT “I run a 5,000-subscriber Shopify store selling handmade jewelry. What email marketing platform should I use?” That prompt is dripping with purchase intent, and the AI’s response will recommend specific products.

How to find the prompts that matter

In Analyze AI, the Prompts dashboard shows you exactly which prompts are triggering mentions of your brand (and your competitors) across AI platforms. Each prompt shows visibility, sentiment, position, and which competitors appear alongside you.

For buyer intent specifically, look for prompts that include modifiers like “best,” “top,” “alternatives to,” “vs,” or “[product category] for [use case].” These are the AI equivalents of high-intent Google searches.

Let Analyze AI suggest high-intent prompts for you

You don’t have to guess which prompts to track. Analyze AI’s Suggested Prompts feature recommends buyer-intent prompts based on your industry, competitors, and existing data. You can accept them with one click to start tracking.

This is the AI search equivalent of discovering new buyer intent keywords — except instead of search volume, you’re looking at which prompts drive actual brand mentions and referral traffic.

Run ad hoc prompt searches to test opportunities

Want to check a specific buyer intent prompt before committing to tracking it? Use the Ad Hoc Prompt Searches feature to run a one-time search across ChatGPT, Google AI, and Perplexity. You’ll see instantly whether your brand appears, who your competitors are in that response, and what sources the AI cites.

Think of this as the AI search equivalent of manually Googling a keyword to check the SERP. It’s a quick way to validate whether a prompt is worth tracking long-term.

How to choose the best buyer intent keywords

Finding buyer intent keywords is the easy part. The harder question is: which ones should you actually pursue? You’ll always have more keywords than you have resources to target, so you need a system for prioritization.

The decision comes down to four factors:

• Traffic potential: How many clicks can this keyword realistically generate? (Check the top-ranking page’s traffic, not just the keyword’s search volume — search volume can be misleading.)

• Conversion potential: How likely is a visitor from this keyword to become a customer? The more specific the keyword, the higher the conversion potential.

• Keyword difficulty: How many quality backlinks will you need to rank in the top 10? Use a keyword difficulty checker or SERP checker to gauge this.

• Cost per click: If you’re considering PPC, how much will each click cost? But even for SEO, CPC is a useful proxy for how commercially valuable a keyword is.

Here are four strategies for making the call.

Strategy 1: Prioritize conversion potential over traffic

This is the single most important principle, and most marketers get it backwards. They chase the highest-volume keywords and wonder why traffic doesn’t convert.

A keyword like “buy stainless steel blender online” has a fraction of the search volume of “blenders.” But the first keyword attracts people who are ready to buy right now. The second attracts people who might be doing a school project on kitchen appliances.

If you’re a smaller brand competing against established players, you almost always win by going specific and high-intent over broad and high-volume. A kitchen appliance company targeting “best immersion blender for soup” will see higher ROI than one trying to rank for “blender.”

Strategy 2: Score and rank your keyword list

When you have a long list of candidates, assign each keyword a score across all four factors. You can do this manually in a spreadsheet, or use ChatGPT to automate it.

Here’s a prompt you can use:

I have a list of keywords with data on search volume, keyword difficulty, and cost per click. Score each keyword from 1–10 on four categories: Traffic Potential, Conversion Potential, Keyword Difficulty (inverse — lower difficulty = higher score), and Commercial Value (based on CPC). Then calculate a weighted total where Conversion Potential counts double.

Paste your keyword data (exported from your keyword tool) into ChatGPT along with this prompt, and you’ll get a ranked list in seconds.

Strategy 3: Target long-tail buyer intent keywords

Long-tail keywords combine high conversion potential with lower competition. They’re your best friend if you’re building a site from scratch or competing in a crowded market.

Instead of targeting “CRM software” (keyword difficulty 80+, dominated by Salesforce, HubSpot, and Zoho), target “best CRM for real estate agents with less than 10 users.” The search volume is a fraction of the head term, but anyone searching for it is virtually ready to buy.

You can use Analyze AI’s free Keyword Generator to surface long-tail variations from a seed keyword.

Strategy 4: Fill the competitive gap

Identify buyer intent keywords your competitors rank for that you don’t. This is one of the fastest ways to find high-value opportunities you’ve been missing.

In an SEO tool, plug in your domain and two or three competitors’ domains into a competitive analysis (content gap) report. Filter for keywords where at least one competitor ranks in the top 10 but you don’t rank at all.

Now apply the same SERP features or CPC filters to isolate buyer intent keywords from that gap. These become your highest-priority targets — they’re proven to have commercial value (your competitors are already benefiting), and you have zero visibility on them.

Don’t forget the AI search gap. The same logic applies to AI search. In Analyze AI’s Competitors view, you can see which prompts your competitors are appearing in that you’re not. The Suggested Competitors section surfaces brands that are frequently mentioned alongside yours but that you haven’t started tracking yet.

These are your competitive gaps in AI search — the buyer intent prompts where your competitors are getting recommended and you’re invisible.

How to map buyer intent keywords to content

Finding the right keywords is only half the battle. You also need to create the right type of content for each keyword. Mismatching keyword intent with content type is one of the most common (and costly) SEO mistakes.

Here’s a practical mapping:

One principle applies to all of them: don’t just describe features. Address the specific pain points that someone with this intent is experiencing. If someone searches “best CRM for small sales teams,” they don’t just want a list of CRMs. They want to know which CRM won’t overwhelm a three-person team with enterprise complexity, which one fits a tight budget, and which one actually helps them close deals faster.

This is where your subject matter expertise becomes your competitive advantage. Generic AI-generated listicles can list features. Only you can speak to the nuanced problems your customers actually face.

For a deeper framework on building an SEO content strategy that ties keywords to content types and business goals, see our full guide.

How to track which buyer intent pages actually convert from AI search

Here’s a step most buyer intent keyword guides skip entirely: measuring whether your content is actually converting from AI search, not just from Google.

When someone asks ChatGPT “best CRM for small sales teams” and your product gets recommended, some of those users will click through to your site. Analyze AI’s AI Traffic Analytics dashboard shows you exactly how many visitors arrive from each AI platform, which pages they land on, and whether they convert.

This is critical because it closes the loop between buyer intent keyword targeting and actual revenue. You’re not guessing which keywords matter — you’re seeing which pages receive AI-referred traffic and which ones convert.

See which landing pages attract AI traffic

The Landing Pages report breaks down exactly which pages on your site receive traffic from AI search engines. You can see session counts, which AI platforms are referring traffic, engagement metrics like bounce rate and session duration, and conversion data.

This data tells you which of your buyer intent pages are working in AI search. If your “best CRM for small teams” post is getting traffic from ChatGPT but your pricing page isn’t, that’s actionable insight. It means the AI is recommending your brand during the research phase but not linking directly to your conversion page. You might need to strengthen internal linking between your comparison content and your pricing page, or optimize your pricing page to be more citation-worthy.

Understand which sources AI models cite

Buyer intent keywords work differently in AI search than in Google. In traditional SEO, you optimize a page and hope to rank in the top 10. In AI search, the model pulls from multiple sources to form its answer. Understanding which sources the AI cites — and which ones it doesn’t — gives you a playbook for improving your visibility.

Analyze AI’s Sources dashboard shows you exactly which domains and content types AI platforms cite when answering questions in your industry. You can see the top cited domains, filter by AI model (ChatGPT, Perplexity, Claude, etc.), and identify which types of content (blogs, product pages, review sites) get referenced most.

If review sites like G2 and Capterra dominate the citations for buyer intent prompts in your space, you know that getting strong reviews there matters for AI visibility — not just for traditional SEO. If competitor blogs are heavily cited, that tells you the AI is relying on their content to form recommendations, and you need to create something better.

Should you target buyer intent keywords with SEO, PPC, or AI search?

Once you’ve selected your buyer intent keywords, you need to decide which channel (or channels) to pursue them through. This is no longer a simple SEO vs. PPC question. AI search is now a third channel that deserves a seat at the table.

Can you use all three at the same time?

Yes, and you should. Appearing in both organic results and paid ads increases your total click share and reduces the chances that a competitor captures the click. Adding AI search visibility on top of that means you’re present everywhere a buyer might look — Google, Google Ads, ChatGPT, Perplexity, Claude, and Gemini.

HubSpot is a good example: they rank organically for thousands of buyer intent keywords, run paid ads on many of the same terms, and their content is heavily cited by AI search engines. That kind of multi-channel dominance doesn’t happen by accident. It comes from treating each channel as part of a unified strategy rather than siloed efforts.

The key insight is this: the content you create for SEO — comparison posts, buying guides, product-led content — is often the same content that AI models cite when answering buyer intent prompts. So investing in strong SEO content pays dividends across all three channels.

For more on how SEO and AI search work together (rather than replacing each other), read about the pillars of an effective SEO strategy for AI search.

How to monitor your buyer intent visibility over time

Finding and targeting buyer intent keywords isn’t a one-time project. Markets shift, competitors launch new content, and AI models update their training data. You need ongoing monitoring to protect and grow your visibility.

Track your keyword rankings

Use a keyword rank checker to monitor your positions for buyer intent keywords over time. Set up weekly tracking for your top 20–50 buyer intent keywords so you catch drops before they cost you significant traffic.

Monitor your AI search presence

In Analyze AI’s Overview dashboard, you get a high-level view of your brand’s visibility and sentiment across all AI platforms. The dashboard shows trends over time, so you can spot whether your AI visibility is growing or declining.

Get weekly AI visibility reports in your inbox

Analyze AI sends Weekly Email summaries that highlight changes in your AI search visibility — pages gaining or losing citations, competitor movements, and actionable recommendations. This keeps you informed without having to log in every day.

Use the Perception Map to see your competitive position

The Perception Map plots your brand against competitors on two axes: visibility (how often you appear in AI answers) and narrative strength (how positive the AI’s portrayal is). This tells you at a glance whether you’re in the “Visible & Compelling” quadrant — or whether you’re visible but with a weak story, or have a strong story but aren’t being seen.

For buyer intent keywords specifically, being in the top-right quadrant matters most. If the AI sees your brand frequently but portrays it negatively, you’ll lose the sale to a competitor with better sentiment. If it portrays you positively but rarely mentions you, buyers will never discover you through AI search.

Final thoughts

Buyer intent keywords convert better than any other keyword type. That hasn’t changed. What has changed is the number of places where buyers express that intent. They still type queries into Google. But they also ask ChatGPT for recommendations, query Perplexity for comparisons, and use Google’s AI Mode to get summarized answers.

A complete buyer intent keyword strategy in 2026 covers all of these surfaces. It starts with traditional keyword research — filtering for SERP features, analyzing CPC, checking the SERPs. It extends to competitor intelligence — both in organic search and in AI-generated answers. And it closes the loop with measurement — tracking not just rankings, but which pages actually receive AI-referred traffic and convert.

The brands that win buyer intent aren’t the ones with the biggest ad budgets. They’re the ones that show up everywhere a buyer looks — with content that’s specific enough to match the intent, detailed enough to be useful, and structured well enough to be cited by both search engines and AI models.

If you want to see where your brand stands in AI search right now, use Analyze AI’s free AI Visibility Checker to get an instant snapshot. And if you want to start tracking buyer intent prompts across ChatGPT, Perplexity, Claude, and more, explore Analyze AI’s full platform.