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SEO

Target buyer-intent keywords, not just big ones

A term with 500 buying-intent searches beats one with 50,000 browsers.

Your keyword list is only half the job — choosing which terms get pages first is what decides revenue. Intent tells you how close a searcher is to buying; margin tells you what a click is worth. Re-score your list on both and the priority order usually flips.

Buyer-intent keywords, the AI-native way

The Keyword research note (previous step) hands you a long list. This note is how you choose from it: AI tags every keyword's intent in one pass, and your margin numbers decide the rest. A term with 500 buying-intent searches beats one with 50,000 browsers.

The intent ladder

Every query sits on a ladder — the higher the rung, the closer to the wallet. For a yoga-mat store:

RungThe searcher is…Real query shapesBelongs on
Informationallearninghow thick should a yoga mat be; how to clean a yoga matblog post
Commercialcomparingbest yoga mat for hot yoga; manduka vs lululemon mat; cork yoga mat reviewcomparison or best-of page
Transactionalbuyingbuy cork yoga mat; extra long yoga mat 84 inch; manduka pro saleproduct or collection page

Modifier cheat-sheet: how / what / why = informational; best / vs / review / for [use-case] = commercial; buy / price / sale / exact model or size = transactional. Let blog posts own the top of the funnel; let product and collection pages own the bottom.

Fastest path: one prompt, end to end

Paste your keyword list into ChatGPT or Claude with this:

AI prompt — paste into ChatGPT / Claude

You are an SEO strategist for an ecommerce store.
Store sells: [your products in one sentence]
Keyword list: [paste keywords, one per line, with volume and difficulty if you have them]

Do this and return ONE markdown table:
1. Label each keyword's intent: Informational, Commercial, or Transactional. Use the modifiers (how/what/why = informational; best/vs/review = commercial; buy/price/sale/exact model = transactional) plus common sense.
2. Flag every buyer term (Commercial or Transactional) with a star.
3. For each buyer term, name the product or collection in my store it would sell, and the page type it belongs on (product, collection, comparison, blog).
4. If a keyword has no volume number, leave the Volume column blank. Do not guess or estimate any number — every figure must come from a tool you opened or a source you can cite next to it. If you can browse, read real volumes from Google Keyword Planner (ads.google.com) or the Ahrefs Free Keyword Generator (ahrefs.com/keyword-generator); if you cannot browse, leave Volume blank and tell me to fill it from one of those tools.
5. Sort the table: Transactional first, then Commercial, then Informational.

Columns: Keyword | Intent | Buyer? | Volume | Sells which product | Page type

Or re-score your list in 5 steps

  1. Start from the sheet you built in Keyword research — or export the last 12 months of queries from Google Search Console → Performance.
  2. Let AI tag intent. Paste the whole list: "Label each keyword Informational, Commercial or Transactional and flag the buyer terms." Spot-check 10 by hand; fix any wrong ones.
  3. Add margin. For each buyer term, note which product it sells and that product's gross margin. Same volume, very different value: a term selling a 70%-margin product beats one selling a 20%-margin product.
  4. Score. Intent weight (Transactional 3, Commercial 2, Informational 1) × gross margin %. Volume only breaks ties.
  5. Re-rank and map. The top 10 each get a page: transactional → product or collection page, commercial → comparison page, informational → blog post. Done = the re-ranked sheet with a page named next to each of the top 10.

Worked example — example math, your numbers will differ

Say four yoga-mat terms come out like this (volumes are placeholders — pull real ones from Keyword Planner):

KeywordIntent (weight)Margin of product it sellsExample volumeScore = weight × margin
buy cork yoga matTransactional (3)60%500180
best yoga mat for hot yogaCommercial (2)45%2,40090
how to clean a yoga matInformational (1)45% (feeds product)12,00045
yoga matInformational (1)45%90,50045

The head term has 180x the volume of the buyer term, yet scores a quarter of it — your first page slots go to the 500-volume buyer term. Chase revenue, not impressions.

Re-score quarterly, right after you re-run keyword research.

Do

  • Tag every keyword's intent before you look at volume — AI can label a 200-term list in one pass.
  • Send transactional terms to product/collection pages, commercial best/vs terms to comparison pages, informational terms to blog posts.
  • Weight by margin: a keyword that sells your 70%-margin product outranks one that sells the 20%-margin product at equal volume.
  • Prioritise best / vs / for [use-case] queries — they convert.

Avoid

  • Don't chase head terms for volume alone — 50,000 browsers lose to 500 buyers.
  • Don't put buying-intent terms on blog posts — an article ranking for a buy query won't convert like a product page.
  • Don't trust AI-guessed search volumes — intent tagging yes, numbers only from a tool.
  • Don't score keywords without margin — two terms with equal volume can differ 3x in profit.

Quick tips

  • Modifier cheat-sheet: how/what/why = informational; best/vs/review/for = commercial; buy/price/sale/exact model or size = transactional.
  • Mine Search Console for buyer-intent queries you already rank #8-20 for — those are the fastest wins.
  • Ask AI to rewrite each buyer keyword as a page title — you'll see instantly which page it belongs on.

Related

Go deeper — resources

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