High-Intent Searches: Build Positioning Before Users

A reverse-engineering framework that turns competitor gaps and search signals into a positioning statement that converts

Learn how to build a concrete brand positioning framework using competitor research and high-intent searches — no customer interviews required. This step-by-step tutorial helps solo founders craft a positioning statement that names a specific buyer, problem, and mechanism.

TL;DR

You don't need users to build strong positioning - Use competitor gap analysis and high-intent search data as proxies for the customer language you don't have yet.
Mine search intent, not category terms - High-buying-intent keywords convert at 4.85% to 7.5%+, while broad informational terms convert at near-zero rates. Build positioning from action-oriented queries.
Map what competitors ignore - Most AI tools use vague, interchangeable language. Your positioning opportunity lives in the specific buyer, pain, or stage that no competitor addresses.
Use the Gap-Intent Formula - Combine your specific buyer (from competitor gaps) + demonstrated pain (from search data) + your mechanism (your product) into a positioning statement that repels the wrong audience and attracts the right one.
Build content for synthesis, not just clicks - With AI Overviews appearing on a growing share of Google queries, your positioning must be clear enough for AI systems to parse and cite accurately.

What You'll Build: A Positioning Statement That Converts Before You Have Users

By the end of this tutorial, you will have a concrete brand positioning framework built entirely from competitor gaps and high-intent searches, not from customer interviews you can't run yet. You'll produce a one-paragraph positioning statement, a competitor gap map, and a list of intent-matched phrases you can deploy across your landing page, first blog post, and social bios.

Your success criteria: a positioning statement that names a specific buyer, a specific problem, and a specific mechanism. It should feel uncomfortably narrow. If it sounds like it could describe three other tools, you're not done.

This approach treats positioning construction as a reverse-engineering exercise. You'll use publicly available competitor research and search intent signals as a substitute for the customer language solo founders typically lack at zero traction.

Prerequisites and Setup

Before you start, confirm you have the following ready. This process takes roughly 90 to 120 minutes if you stay focused.

A Google account for accessing Google Search, Google Trends, and the People Also Ask feature
A spreadsheet tool (Google Sheets, Notion table, or Airtable) for your competitor gap map
Access to 3 to 5 competitor websites in your category (you'll identify these in Step 1)
A free SEO tool such as Ubersuggest or Ahrefs Webmaster Tools for keyword intent data
AlsoAsked.com or AnswerThePublic for mapping question-based search patterns
A text editor for drafting your positioning statement

Potential blockers: If you can't name your category yet (e.g., "AI writing tool" or "budget tracker for freelancers"), start with the broadest label that a buyer might search. You'll sharpen it during the process.

Why This Method Works at Zero Traction

Most positioning advice assumes you have customers to interview. April Dunford's framework, the First Round playbook, and nearly every positioning guide targets founders who already have signal. If you're pre-launch with zero users, that advice creates paralysis.

The alternative: treat the search landscape and your competitors' messaging as a proxy for customer language. Recent analysis of 3.4 million AI-search queries shows demand rising 33.5% year over year, with curiosity terms like "AI for marketing" dropping 38% while action-oriented terms surge. Buyers are moving from browsing to deciding. Your positioning needs to meet them at the decision point.

This is not guesswork. It's structured observation. You'll extract real language from real searches and real competitor blind spots, then assemble positioning that speaks to demonstrated demand rather than hypothetical personas.

Step 1: Identify Your Competitive Set (Not Who You Think)

Action: Open Google and search the phrase a buyer would type when looking for a solution to the problem you solve. Not your product category. The problem.

For example, if you're building an AI tool that helps freelancers write proposals, don't search "AI proposal tool." Search "how to write freelance proposals faster" or "stop losing freelance gigs to slow proposals." Note the top 10 organic results. These are your real competitors, including blog posts, Reddit threads, and tools you've never heard of.

Create a spreadsheet with columns: Competitor Name, URL, Tagline, Primary Audience (as stated on their site), Core Promise, What They Ignore. Fill in the first five columns now. Leave "What They Ignore" blank for Step 3.

Checkpoint: You should have 5 to 7 entries. If you have fewer than 3, broaden your problem-phrase search. If you have more than 10, narrow it to the results that most closely match your intended buyer.

Common failure: Listing only direct product competitors. Include content competitors (blogs ranking for your buyer's problem) because they shape how buyers frame the problem before they ever search for a tool.

Step 2: Mine High-Intent Searches for Buyer Language

Action: Using the same problem-phrase from Step 1, open AlsoAsked.com and enter your query. Export the full question tree. Then run the same query in Google and screenshot every "People Also Ask" box you can expand (click each question to reveal more).

Next, open your SEO tool and filter for keywords with commercial or transactional intent. You're looking for queries that contain words like "best," "vs," "alternative to," "for [specific role]," "pricing," or "how to switch from." These are high-intent searches where the searcher is ready to evaluate or act.

Research across 95 blog posts found that high-buying-intent keywords converted at 4.85% to 7.5%+, compared with fractions of a percent for informational keywords. This is why you build positioning from intent signals, not from broad category terms.

In your spreadsheet, create a new tab called "Buyer Language." Add columns: Search Query, Intent Type (commercial/transactional/comparison), Implied Pain, Implied Desired Outcome. Fill in 15 to 25 rows.

Checkpoint: You should see patterns. Certain pains repeat. Certain outcomes keep appearing. Highlight the top 3 to 5 recurring themes. These are your positioning anchors.

Common failure: Collecting only informational queries like "what is [category]." These attract browsers, not buyers. Filter ruthlessly for action-oriented language.

Step 3: Map Competitor Gaps Using Their Own Words

Action: Return to your competitor spreadsheet. For each competitor, visit their homepage, pricing page, and any "about" or "how it works" page. Read their copy out loud. Now fill in the "What They Ignore" column by answering these questions:

What buyer segment do they never mention?
What pain from your Buyer Language tab do they skip?
What objection do they leave unanswered?
Do they speak to pre-traction founders, or do they assume existing data/users/revenue?

Most AI tools position themselves with vague language like "supercharge your workflow" or "10x your productivity." As Jeff Lenney's analysis of search intent points out, 58% of Google searches now end without a click. If your positioning sounds like everyone else's, you won't even register in AI Overviews or featured snippets, let alone in a buyer's memory.

Checkpoint: You should have at least 3 clear gaps that multiple competitors share. These are your openings. Write them as declarative sentences: "No competitor addresses [specific pain] for [specific buyer] at [specific stage]."

Common failure: Identifying gaps that are real but irrelevant to buyers. Cross-reference every gap against your Buyer Language tab. If no one is searching for it, it's not a positioning opportunity. It's a feature no one wants.

Step 4: Draft Your Positioning Statement Using the Gap-Intent Formula

Action: Open your text editor. You'll assemble your positioning statement from three components you've already identified:

Specific Buyer: The segment your competitors ignore (from Step 3)
Demonstrated Pain: The recurring pain from high-intent searches (from Step 2)
Your Mechanism: How your product solves it differently (your actual product capability)

Use this structure:

[Product Name] helps [specific buyer at specific stage] 
[achieve specific outcome] 
by [mechanism that addresses the gap competitors leave open], 
without [the thing buyers fear or hate about current alternatives].

Example: "ProposalBot helps freelance designers who lose gigs to slow turnarounds send polished proposals in under 10 minutes by generating scope-matched templates from past project data, without requiring a portfolio or CRM setup."

Notice: no buzzwords. No "AI-powered." No "revolutionary." The specificity is the differentiator. Every element maps to observed data, not invented claims.

Checkpoint: Read your statement to someone unfamiliar with your product. Ask them: "Who is this for?" and "What does it do?" If they can answer both correctly, your positioning works. If they say "it's an AI tool for everyone," rewrite it.

Common failure: Making the statement too broad because it feels safer. Narrowing your buyer feels like shrinking your market. It's not. It's making your market findable.

Step 5: Validate Against Search Intent (Not Your Gut)

Action: Take the core phrases from your positioning statement and search them in Google. Look at what appears. Do the results match the intent of your buyer? Are competitors showing up for these terms, or is there open space?

Check whether AI Overviews appear for your queries (they now show on over 13% of Google queries and climbing). If they do, read what the AI Overview says. This is how AI systems are synthesizing your category. Your positioning needs to be clear enough that an AI summary could accurately represent it.

This is where having a distinct voice before automating content matters. If your positioning sounds like a remix of competitor copy, AI systems will flatten you into the same summary as everyone else. Specificity is your defense against commoditization in both human and AI-mediated discovery.

Checkpoint: Your positioning phrases should surface results that are either (a) directly relevant competitors you can beat on specificity, or (b) content gaps where no one is speaking to your exact buyer-pain combination. Both are good signals.

Step 6: Build Content for Synthesis, Not Just Clicks

Action: Create a short list of 5 to 7 content pieces that reinforce your positioning. These aren't random blog posts. Each one should target a specific high-intent query from your Buyer Language tab and connect back to your positioning statement.

Structure each planned piece around what Jeff Lenney calls synthesis intent: content designed to be understood and cited by AI systems, not just clicked by humans. This means clear definitions, explicit comparisons, and structured arguments that an AI Overview can parse.

For your first piece of content, pick the query with the highest commercial intent and the weakest existing results. Write a post that directly answers the searcher's question while positioning your product as the logical solution. If you need guidance on choosing that first post, this first-post guide for AI builders walks through the channel-format decision in detail.

A tool like heycatch can accelerate this step by generating daily growth plans that include competitor research and website audits, which keeps your positioning aligned with what's actually happening in your market as it shifts.

Checkpoint: Each content piece on your list should map to one high-intent query, one competitor gap, and one element of your positioning statement. If a piece doesn't connect to all three, cut it.

Common failure: Planning 30 blog posts before publishing one. Content planning can consume your roadmap if you're not careful. Ship the first piece, measure, then plan the next.

Step 7: Deploy Your Positioning Across Every Surface

Action: Take your positioning statement and adapt it for each of these surfaces. Do not copy-paste the same sentence everywhere. Adapt the format while keeping the buyer, pain, and mechanism consistent.

Landing page hero: Lead with the outcome, not the mechanism. "Send polished proposals in 10 minutes" beats "AI-powered proposal generation."
Social bio (Twitter/X, LinkedIn): Compress to one line. "Helping freelance designers close gigs faster with instant proposals."
Product Hunt tagline: Emphasize the gap. "The proposal tool that doesn't require a CRM or portfolio."
First blog post intro: Open with the pain from your Buyer Language tab. "You lost the gig because your proposal took three days. Here's how to send one in ten minutes."

Checkpoint: Read all four adaptations in sequence. They should feel like the same product speaking to the same person, just in different rooms. If any version sounds like a different company, realign it.

Configuration and Customization

Variables You Should Adjust

Number of competitors analyzed: The tutorial uses 5 to 7. If your category is very small (fewer than 5 direct competitors), include adjacent categories. If it's massive, narrow to competitors targeting the same buyer stage.

High-intent query count: 15 to 25 is the working range. If you find fewer than 10, your category may be too niche for search-based positioning. Consider supplementing with community research (Reddit threads, Indie Hackers posts, Twitter conversations).

Positioning statement length: The template produces 1 to 2 sentences. Some founders prefer a longer "positioning paragraph" (3 to 4 sentences) that includes a brief credibility marker. At pre-traction, your credibility marker might be your own experience with the problem: "Built by a freelance designer who lost $40K in gigs to slow proposals."

Settings to Keep as Defaults

Always lead with the buyer, not the technology. "AI" is not a differentiator. What the AI enables for a specific person in a specific situation is the differentiator. If you remove "AI" from your positioning and it collapses, your positioning is hollow.

Verification and Testing

Test procedure: Share your positioning statement (without your product name) with 3 to 5 people who match your target buyer profile. Ask them two questions: "Is this describing a problem you actually have?" and "Would you click to learn more?" You can find these people in relevant subreddits, Indie Hackers groups, or Slack communities.

If 3 out of 5 say yes to both questions, your positioning is viable. If they say "sounds interesting but I'm not sure it's for me," your buyer specificity needs work. If they say "I don't have this problem," you've misread the search intent data. Go back to Step 2.

Edge cases to verify: Test with someone outside your target audience. They should immediately recognize it's not for them. Good positioning repels the wrong buyer as clearly as it attracts the right one.

Common Errors and Fixes

"My positioning sounds like every other AI tool"

Symptom: Your statement includes phrases like "AI-powered," "smart automation," or "10x productivity." Cause: You skipped the competitor gap analysis or identified gaps but didn't use them. Fix: Return to Step 3. Find the specific thing competitors don't say. Build your statement around that absence.

"I can't find high-intent keywords in my category"

Symptom: Every query you find is informational ("what is," "how does"). Cause: Your category may be too new for established search patterns, or you're searching category terms instead of problem terms. Fix: Search for the problem your product solves, not the product category. Also check Reddit and community forums for the exact language people use when they're frustrated.

"My positioning is too narrow and I'm scared"

Symptom: You wrote a specific statement but keep wanting to add "and also for [broader audience]." Cause: Fear of missing potential users. Fix: Remember that high-intent keywords convert at 4.85% to 7.5%+ while broad terms convert at fractions of a percent. Narrow positioning that converts beats broad positioning that gets ignored. You can expand later, after you have traction data.

"I did everything but my landing page still doesn't convert"

Symptom: Traffic arrives but bounces. Cause: Your positioning statement is strong but your landing page doesn't deliver on it within the first screen. Fix: Make sure your hero section contains the buyer, the pain, and the outcome. No abstract imagery. No "welcome to the future." Generic AI-generated content won't save a weak landing page. Specificity will.

"I keep changing my positioning every week"

Symptom: You rewrite your tagline after every conversation or tweet. Cause: You're reacting to individual opinions instead of patterns. Fix: Commit to your positioning for 30 days. Track which version of your message gets the most engagement (clicks, replies, signups). Change based on data, not anxiety.

Next Steps and Extensions

Once your positioning is live and you're collecting early signals (even just landing page visits or social engagement), you can extend this work in several directions.

Build a comparison page targeting "[your category] vs [competitor]" queries. These are some of the highest-intent searches available, and most early-stage founders ignore them.
Create content for synthesis that AI systems can parse and cite when users ask comparative questions in ChatGPT, Perplexity, or Google's AI Overviews.
Run a monthly positioning audit where you repeat Steps 2 and 3 with fresh search data. Your competitors' messaging will shift. New players will enter. Your gaps may close or new ones may open. Tools like heycatch can automate portions of this competitor monitoring so you catch shifts before they erode your positioning.

Positioning is not a one-time exercise. It's the foundation that makes every other growth activity (content, outreach, product decisions) coherent. Get it right before you have users, and you'll attract the right users when they arrive.

Frequently Asked Questions

How can I effectively position my AI business in a crowded market with no users?

Start by analyzing what competitors say and, more importantly, what they don't say. Map their messaging against high-intent search queries to find gaps where real buyer demand exists but no one is speaking to it. Build your positioning around that gap, naming a specific buyer, a specific pain, and your specific mechanism for solving it.

Why does vague positioning make my product invisible to potential buyers?

Vague positioning ("AI-powered productivity tool") blends into every other product in your category. With 58% of Google searches ending without a click, your messaging needs to be specific enough to stand out in search snippets, AI Overviews, and social feeds. If an AI system can't distinguish your product from five others, it won't surface you. If a human can't tell who you're for in five seconds, they'll bounce.

What are high-intent searches and why do they matter for positioning?

High-intent searches are queries where the searcher is ready to evaluate, compare, or buy. They include terms like "best [tool] for [role]," "[product A] vs [product B]," or "[category] pricing." These queries convert at 4.85% to 7.5%+, compared with fractions of a percent for informational queries. Building your positioning around this language means you're speaking to buyers at the moment they're ready to act.

When should I update my positioning strategy?

Run a positioning audit every 30 days during your first 6 months. Repeat the competitor gap analysis and high-intent keyword research to check whether your gaps still exist, whether new competitors have entered, and whether search patterns have shifted. Commit to each version for at least 30 days before changing, so you can collect meaningful data on what's working.

Can I build strong positioning without customer interviews?

Yes, at the pre-traction stage. Search intent data and competitor gap analysis serve as proxies for customer language. You're reading what real people type into search engines when they have the problem you solve. This isn't a permanent replacement for customer research, but it gives you a defensible starting point that's grounded in observed behavior rather than assumptions.

What is content for synthesis and how does it help positioning?

Content for synthesis is content structured so that AI systems (Google's AI Overviews, ChatGPT, Perplexity) can parse, understand, and cite it when users ask questions about your category. This means clear definitions, explicit comparisons, and structured arguments. As AI-mediated discovery grows, your positioning needs to be legible not just to humans scrolling a page, but to AI systems assembling answers from multiple sources.