SEO Research Tools · Keyword Planner, Trends & Search Console

Keyword research identifies the specific words and phrases that target audiences use when searching for products, services, or information relevant to a business. It answers three essential questions: what are people searching for (the query); how often (the volume); and what do they want to find (the intent)?

Effective keyword research is not a one-time exercise — it is an ongoing intelligence-gathering process. New queries emerge as products, terminology, and audience behaviour evolve; competitor content and Google's algorithm updates change which keywords are rankable; and site analytics data reveals which keywords are already generating traffic that could be expanded.

For most keywords, Google's own free tools provide sufficient data for strategic decisions. Third-party tools (Ahrefs, SEMrush, Moz) add value in specific areas: historical ranking data, competitor keyword gap analysis, and backlink data — but for core keyword volume and intent research, the combination of Keyword Planner, Trends, GSC, and SERP features covers the fundamentals.

Google Keyword Planner (ads.google.com/aw/keywordplanner) is Google's official keyword research tool — designed primarily for Google Ads campaign planning but usable for SEO keyword research. It is free to access with a Google Ads account (you do not need to run active campaigns).

Keyword Planner provides: average monthly search volumes for specific keywords (shown as ranges: 1–100, 100–1K, 1K–10K, 10K–100K, or exact volumes for accounts running active campaigns); competition levels (based on the number of advertisers bidding on keywords — useful as an approximate indicator of commercial intent); and keyword suggestions generated from a seed keyword or a website URL.

Using Keyword Planner for SEO

• "Discover new keywords" → enter a seed keyword (e.g. "email marketing") to generate related keyword suggestions with volume estimates. Filter by average monthly searches to identify keywords above your traffic threshold.
• "Get search volume and forecasts" → enter a list of specific keywords to check their volume data. Useful for validating a keyword list developed from other sources.
• Filter by location: Keyword Planner shows volume by country or region — essential for site owners targeting specific geographic markets.

Note: Keyword Planner volume data is rounded into ranges unless the account has active spending. The ranges are imprecise for small-volume keywords — a keyword showing "100–1K" might be anywhere from 100 to 999 monthly searches. For more granular volume data on keywords where precision matters, Google Trends provides relative comparison data.

Google Trends (trends.google.com) shows the relative search interest for a query over time — normalised to a 0–100 scale where 100 represents the period of peak interest. It does not show absolute search volumes (Keyword Planner does that), but it shows patterns that absolute volume data cannot: whether interest is growing, declining, seasonal, or stable; how interest varies by region; and how a query compares relative to other queries.

Key uses for SEO

• Trend identification. A keyword showing sustained growth over 12–24 months is a better long-term investment than a flat or declining keyword — even if the flat keyword has higher current volume. Identifying upward-trending keywords in your niche and creating content before they peak can generate growing traffic over time.
• Seasonality planning. Google Trends shows the seasonal pattern for any query — identifying when peak interest occurs so content can be published or promoted ahead of peak demand. A guide on "Christmas gift ideas" published in September is more valuable than one published in December.
• Geographic interest. Google Trends shows which regions (countries, US states, UK regions) have the highest relative interest in a query — informing localisation decisions for multi-regional sites.
• Related topics and queries. Google Trends shows "Related topics" and "Related queries" — the topics and specific queries that are frequently searched alongside the focus query. These surface query clusters for content planning.

Google Search Console's Performance report → Queries tab is the most underutilised keyword research resource available for sites with existing organic traffic. It shows the actual queries real users searched for that triggered the site's pages in Google Search — with impressions, clicks, CTR, and average position for each query.

GSC query research techniques

• Find high-impression, low-click queries. Filter queries by high impression count and sort by CTR ascending. Queries generating many impressions but few clicks are ranking but not getting clicks — the title and meta description may not match the searcher's intent, or the ranking position may be too low (positions 4–10 with good impression counts are candidates for optimisation).
• Find ranking page 2 queries. Filter by average position between 11 and 20. These queries are close to page 1 — targeted optimisation of the ranking page (adding content about the specific query, improving internal linking to the page) can push them onto page 1, generating significant new traffic.
• Identify topic gap queries. Queries generating impressions but zero or very few clicks may indicate the site appears in results for queries it does not have a page specifically addressing — creating new page opportunities.

People Also Ask (PAA) is a Google SERP feature showing related questions that searchers frequently ask alongside the focus query. PAA boxes expand to show a brief answer excerpt from a web page, and clicking one question triggers additional related questions — PAA boxes expand dynamically. For content planning, PAA is one of the richest free sources of question-based keyword variations.

Process: search for your focus keyword in Google; note all PAA questions displayed (typically 4–8 initially, expanding to many more as you click through); capture these questions as heading-level subtopics for the content covering that keyword. A comprehensive piece of content that answers all the PAA questions for a keyword is more likely to rank for a broad set of related queries than a narrowly focused piece.

Google Autocomplete (the suggestions that appear as you type a query in the Google search bar) reflects frequently searched queries beginning with the characters typed. Systematically exploring autocomplete suggestions for a seed keyword generates long-tail keyword variations that reveal specific audience intents and question formats.

Technique: type the seed keyword followed by each letter of the alphabet (e.g. "email marketing a", "email marketing b"...) to generate a comprehensive list of long-tail variations. Also type question starters: "how to [keyword]", "what is [keyword]", "why [keyword]", "when [keyword]" — these reveal the specific informational queries in the topic area.

The "Related searches" section at the bottom of Google's search results page shows 8 queries that Google considers semantically related to the focus query. These represent the query clusters Google's algorithm associates with the focus topic — meaning that a page that covers the focus keyword and its related searches comprehensively is more likely to rank for the full cluster than a page that addresses only the exact focus keyword.

Search intent — what the searcher wants to find — is the most important dimension of keyword research because it determines what type of content will rank. Google's own documentation describes four intent categories: Informational (the user wants to learn something); Navigational (the user wants to find a specific website or page); Commercial Investigation (the user is researching before a purchase decision); and Transactional (the user wants to complete an action — buy, sign up, download).

The fastest way to identify a keyword's intent is to examine the SERP: what types of pages rank on page 1? If page 1 is dominated by blog posts and guides, Google has determined the intent is informational. If it is dominated by product pages, the intent is transactional. Matching the content type to the SERP's dominant format is essential — a product page will not rank for an informational keyword, and a blog post will not rank for a transactional keyword, regardless of keyword optimisation.

Keyword mapping assigns each keyword (or keyword cluster) to a specific page on the site. Good keyword mapping prevents keyword cannibalism — multiple pages targeting the same keyword and competing against each other, diluting both pages' authority. Each page should have one primary keyword and a set of semantically related secondary keywords that the page naturally covers in depth.

A simple keyword map: a spreadsheet with columns for the primary keyword, secondary keywords, assigned URL, page type (blog post, landing page, product page), and current ranking position. Review quarterly to identify: new keywords to assign to new pages; pages cannibalising each other (consolidate or differentiate); keywords where rankings have changed and optimisation is needed.

1. Seed keywords. List 10–20 seed topics from your product/service categories and target audience language.
2. Keyword Planner expansion. Enter each seed into Keyword Planner → Discover New Keywords. Export the suggestions. Filter by minimum volume threshold.
3. GSC query mining. Export all queries from GSC Performance report for the last 12 months. Add these to the keyword list — they are confirmed to generate impressions from Google.
4. SERP research. For the 20–30 highest-priority keywords, manually check Google: note PAA questions, autocomplete suggestions, and related searches.
5. Intent classification. For each keyword, classify intent (informational, commercial, transactional) based on SERP content types.
6. Google Trends validation. Check trend direction for the highest-priority keywords. Prioritise growing or stable trends; deprioritise declining trends.
7. Mapping. Assign each keyword cluster to a page (existing or to be created).