Buying Intent Keywords: How to Find, Score and Rank for Them

Quick quiz

How should you find the right keywords?

Question 1 of 425%

Where are you today?

I am starting and don't know what people searchI have ideas but need numbersI have keywords but no time to write

Most keyword lists are built for traffic. Buying intent keywords are built for sales: they catch the searcher in the last steps before paying. Google's own Search Quality Rater Guidelines (version of September 11, 2025) describe this as a "Do" query, whose goal "may be to download, to buy, to obtain". This guide shows how to recognize them, find them for your own business, decide which ones to target first, and build the page that converts each one. If you are new to the idea of search intent, start there.

What are buying intent keywords?

A buying intent keyword is a query whose wording shows that the searcher wants to purchase, book, hire or subscribe, now or soon. Two families make up the category, and they sit next to the other types of keywords you already track:

• Commercial keywords: the person is choosing. "best accounting software for freelancers", "Shopify vs Wix", "Dyson V15 review".
• Transactional keywords: the person has chosen and wants to act. "buy Dyson V15", "Notion pricing", "plumber near me open now".

Two neighbouring families also carry buying intent. Branded searches with a product name ("iPhone 17 Pro 256GB") are often one step from the checkout, and local searches ("dentist in Lyon") usually end in a call or a visit. Informational queries ("how does a heat pump work") rarely convert directly, but they feed the same buyers earlier.

Which words signal buying intent?

Buying intent is visible in the modifiers attached to the product or service. The table below groups the most reliable ones and the page each group deserves.

A modifier alone is a hint, not proof. "Free" can mean a buyer looking for a free trial or a student who will never pay. "Review" can be a buyer, or a current customer looking for help. The search results page settles the question, as the next section shows.

How do you find buying intent keywords?

Six sources cover almost every buying query in a market. Use them in this order: the first three build the list, the last three complete it with what tools miss.

1. Combine your offer with modifiers

List what you sell (products, services, categories, use cases) and cross each item with the modifier groups above. A spreadsheet with 20 offers and 15 modifiers already gives 300 candidates. Then check each one in a keyword tool to keep the queries people type, and drop the ones with no demand.

2. Read the search results page

Google shows what it believes the intent is. Shopping ads, text ads at the top, product pages, pricing pages and "best X" lists in the top 10 mean buying intent. Encyclopedias, how-to guides and videos mean informational intent. When the results are mixed, the query is ambiguous: target it only if your page can serve both readings.

3. Use cost per click as a signal

Advertisers pay more for queries that bring customers, so a high CPC is a cheap proxy for commercial value. Google's Keyword Planner shows competition and the average cost to show an ad for each keyword. Our free keyword value calculator turns volume, CPC and expected position into a monthly value, which makes two queries with different volumes comparable.

4. Mine Google Search Console

Your own data is the most reliable source. In the Performance report, filter queries containing "price", "best", "vs", "buy" or your product names. Queries with impressions and an average position between 5 and 20 are the quickest wins: Google already associates your site with them, and a dedicated or improved page can move them to the top 3.

5. Take the gap with competitors

Competitors who sell the same thing have already found many of your buying queries. A keyword gap analysis lists the queries they rank for and you do not; filter it with the modifier groups to keep only the commercial ones.

6. Listen to sales and support

The questions prospects ask before signing ("does it work with Shopify?", "is there a monthly plan?") are buying queries that tools often show at zero volume. They are also the questions buyers now type in full into ChatGPT.

How do you choose which buying keywords to target first?

A list of 300 buying queries is useless without an order. Score each keyword from 0 to 3 on four criteria, add the points, and start with the highest totals.

Two adjustments make the grid sharper. First, give long-tail queries a bonus: a long-tail keyword such as "CRM for real estate agents with WhatsApp" has a small volume, but a buyer who types it has already defined the need, and the keyword difficulty is usually low. Second, weight business fit double if your margins differ a lot between products.

Which page should target each buying intent keyword?

The most common mistake is to target "best accounting software" with a product page, or "buy X" with a blog post. Google ranks the format that matches the intent, so each query type needs its own page.

• "buy X", "X for sale", product names: product or category page, with price, stock, delivery and reviews visible above the fold.
• "X price", "X cost", "how much": a pricing page, or a cost guide with real ranges if you sell quotes.
• "best X", "top X": a ranking article with a summary table at the top and honest criteria.
• "X vs Y", "X alternative": a comparison page with a feature table and a verdict by profile.
• "X review", "is X worth it": a review or case page with proof (results, screenshots, customer quotes).
• "X near me", "X in [city]": a location page linked to an up-to-date Google Business Profile.

On product pages, Google's product structured data documentation explains that Product markup lets shoppers "see price, availability, review ratings, shipping information, and more right in search results": exactly the details a buyer checks. This page mapping is the bottom of your SEO funnel, and it should be planned in your keyword strategy alongside the informational content that feeds it.

How do buyers express purchase intent in ChatGPT and AI assistants?

Buyers now ask AI assistants the questions they used to split into several Google searches. A prompt such as "what is the best CRM for a 5-person real estate agency, under $50 a month, that works with WhatsApp?" contains a commercial modifier, a use case, a budget and an integration in one sentence. The keyword "best CRM" is still there, wrapped in constraints.

Behind the answer, the assistant runs its own searches. Google states in its documentation on AI features and your website that AI Overviews and AI Mode may issue "multiple related searches across subtopics and data sources", and that clicks from these results are "higher quality", with users more likely to spend time on the site. To be cited, a page must be indexed and eligible to appear with a snippet, so classic SEO remains the entry ticket.

Three habits make your buying pages easier to cite:

• Answer the constraint in a sentence. "Plan X costs $29 a month and includes the WhatsApp integration" is easier to quote than a pricing grid in an image.
• Publish comparison and use-case pages. In our ChatGPT citation study (87,008 answers measured over 13 months), Trustpilot is the second most cited platform after Wikipedia, ahead of Amazon and Shopify: reviews and product pages weigh heavily when people ask what to buy.
• Track buying prompts, not only keywords. Write the 20 to 50 questions a buyer would ask an assistant before choosing you, and check who gets recommended.

Should you target buying intent keywords with SEO or paid search?

Both, for different reasons. Paid search buys an immediate position on queries where you cannot rank yet, and it is the fastest way to test whether a query converts before writing a page for it. SEO takes longer (first effects usually appear after 2 to 4 months) but each ranked page keeps bringing buyers without a cost per click, and only organic pages can be cited by AI assistants. The usual split: ads on the most competitive transactional queries and on new offers, organic pages on comparison, review, long-tail and local queries. Our guide to SEO and PPC details how to make the two channels share their data.

The essentials

Buying intent keywords are few, precise and profitable: find them with modifiers, the results page and CPC, score them, and give each one the page its intent calls for. Then check that the same pages answer the long prompts buyers type into ChatGPT and Gemini. To find your buying queries automatically and track the matching prompts in AI assistants, try Sorank with a 3-day free trial.