Nine keyword research patterns worth adapting, from services to video

What to take away

Keyword research examples should demonstrate a research path, not a guaranteed traffic result. These nine patterns are hypothetical. Adapt the sources, fields, page map, evidence, and business measures to the customer, market, offer, capacity, and data permissions.

Worked example: service qualification

A plumbing company exports queries from Google Search Console. A typical query set might include "emergency plumber near me", "water heater repair cost", "burst pipe repair", and "24 hour plumber boston". The export fields are query, landing page, clicks, impressions, and average position.

The page map assigns each query cluster to a page type. "Emergency plumber near me" goes to a service page with response time and coverage area. "Water heater repair cost" goes to a pricing page with a typical range. "Burst pipe repair" goes to a process page with steps and evidence.

"24 hour plumber boston" goes to a location page for Boston.

1. Service qualification

Combine query data with sales rejection reasons, service areas, project types, price questions, and customer interviews. Map tasks to service, process, evidence, pricing, and location pages. Prioritize valid inquiries and booked work over broad traffic.

Example query: "emergency plumber near me" with rejection reason "outside service area".

2. Ecommerce category design

Use product attributes, site search, filters, query data, returns, reviews, and marketplace language. Separate categories customers use from internal merchandising labels. Map terms to categories, products, guides, comparisons, and deliberate non-indexed filters.

Example query: "wireless headphones for running" with filter "water resistant" and return reason "did not fit".

3. Local service expansion

Research services, neighborhoods, towns, urgency, availability, and eligibility with local customer evidence. Google's regional Trends results guide explains that regional values reflect relative popularity within each place, not absolute query totals. Pair the pattern with service boundaries, accepted inquiries, schedule capacity, and local language before proposing location destinations.

Example query: "plumber near me" in Google Trends for a specific town shows relative popularity, not absolute volume.

4. New product launch

Start with the problem and alternatives because a new product name has little history. Google's related-searches documentation distinguishes top related terms from rising terms and labels exceptionally fast growth as breakout. Use those paths as discovery prompts, then validate wording through interviews, support, paid tests, retailer data, and launch feedback.

Example query: "best alternative to [existing product]" from related searches.

5. Support-content gap analysis

Cluster tickets, site search, documentation searches, error messages, and observed site queries. Map each task to a maintained answer, diagnostic, walkthrough, product change, or deliberate no-action decision. Measure resolution, repeated contacts, product use, and qualified escalation rather than article count.

Example ticket: "error 403 when saving file" with no matching help article.

6. International market validation

Research each language and country with qualified local reviewers. Literal terms, broader concepts, spelling, products, regulations, seasons, and result patterns can differ. Confirm that the business can price, deliver, support, and lawfully serve the market before treating attention as an opportunity.

Example query: "cable adapter" in UK English vs "cord adapter" in US English.

7. Seasonal demand plan

Use several years of normalized trend data, first-party history, inventory, lead times, and event calendars. Separate recurring seasonality from one-time news. Schedule updates and campaigns early enough for crawling, customer planning, and fulfillment.

Example query: "air conditioner tune up" peaks in May and June in typical US data.

8. Video task map

Identify demonstrations, how-to tasks, comparisons, reviews, and troubleshooting that benefit from video. Compare web and video search behavior where tools allow. Map each cluster to a stable watch page with descriptive text and a meaningful next step.

Example query: "how to replace a faucet cartridge" with video results.

9. Consolidation review

Export queries by page, group coherent tasks, and locate multiple URLs competing for the same destination role. Review unique value, links, conversions, and maintenance. Merge or redirect only when the customer task and evidence truly overlap.

Example: three URLs ranking for "return policy" with similar content.

Source notes

The NIST Privacy Framework starting guide outlines a voluntary process for identifying and managing privacy risk. Use it to assign data and response owners for keyword research examples; it is not legal clearance.

The W3C information and relationships explanation says visual structure and relationships should also be programmatically available. Apply that check to keyword research examples outputs, then test the actual page with the users and technology in scope.

Decision table

Common questions

Are these keyword research examples proven campaigns?

No. They are research designs. Test each one with a baseline before scaling.

Which example should a business use?

Pick the pattern that fits the customer task, offer, market, evidence, capacity, risk, and outcome.

How should an example be tested?

Run a bounded test. Keep a baseline. Verify deployment. Compare qualified customer and business outcomes before scaling.