# Keyword research with Google autocomplete: the method and its limits You can mine Google autocomplete for real searches in minutes. This guide shows the exact steps, the country and language switches, and the limits. You will leave with a clean list you can turn into pages. Updated 2026-09-14 · Source: https://porteur.ai/guides/google-autocomplete-keyword-research ## What autocomplete is and why it helps Autocomplete shows completions from real searches. Google weights them by popularity and freshness. It filters for policy. It varies by language, location and your own history. It is a list of what people type, not volumes. Treat it as demand signals, not forecasts. Use it to find wording, modifiers and gaps. On a small site you must pick your battles. Autocomplete tells you how searchers phrase the job. That makes your titles, H1s and sections match intent faster. > Rule: autocomplete is for ideas and wording. Use other sources for volumes and difficulty. ## Set up a clean view of suggestions You want neutral results. Your history biases suggestions. So prepare a clean view before you collect anything. 1. **Use a fresh browser profile or a private window** Log out of Google. Disable sync. Close extensions that rewrite results. 2. **Pick the right Google domain and language** Use the country domain that matches your market, for example google.co.uk for the UK. In Search settings set Language and Region to your target audience. 3. **Set your location** Allow browser location if local intent matters, or use a reliable location switch in Search settings. For a SaaS with global reach, keep it broad. 4. **Repeat for each market** If you sell in English and German, repeat the process in each language and country combination. You can also use a visualiser. AnswerThePublic shows autocomplete questions and prepositions. It is useful for a first pass. Manually verify any idea in Google after. ## The letter-by-letter method, fast Start from a seed. Type your category name or the job your product does. Then fan out, one character at a time. Capture the list before it changes. 1. **Choose a solid seed** Pick a term that searchers would use, for example “note taking app”, “kanban board”, or “stripe integration”. 2. **Add a space then a letter** Type “note taking app a”, “note taking app b”, through to “note taking app z”. Copy the suggestions each time. 3. **Try a leading letter** Type “a note taking app”, “best note taking app”, “cheap note taking app”. Leading words change intent a lot. 4. **Use a wildcard** Insert a space in the middle, for example “note taking for ” then a letter. It surfaces audience variants like “for students” or “for designers”. Work in tight bursts. Suggestions shift with freshness. Take what you see in one sitting per market. Name your file with date and market, for example “uk-en-2026-09-14”. ## Modifiers that reveal intent Modifiers turn a generic idea into a plan. Use the ones that map to the intents you can serve today. Here are the most useful for product sites. - vs: “notion vs obsidian”, “yourproduct vs x”. Commercial investigation. Good for /compare/x-vs-y pages. - alternatives: “x alternatives”, “alternatives to x”. Commercial investigation. Good for /alternatives/x-alternatives. - pricing: “x pricing”, “x cost”. Transactional. Good for /pricing and rival pricing explains. - how to: “how to do z”, “how to x with y”. Informational. Good for guides and use cases. - for: “x for y”. Informational or commercial. Good for audience and industry pages. Also mine prepositions and attributes. Examples: “with”, “without”, “on”, “in”, “template”, “examples”, “checklist”. Each suggests a section or a page depending on scope. Look at the results page to confirm intent. Guides and videos mean informational. Product pages and shopping mean transactional. Lists and comparisons mean commercial investigation. ## Collect, clean and classify in a sheet You need one table with your raw suggestions, a clean column, an intent column, and a notes column. Keep one sheet per market. Add a tab for rivals later. 1. **Paste your raw list** Collect suggestions per seed until they start to repeat. Use plain text. One query per row. This is typical, not measured. 2. **Normalise and deduplicate** Lowercase, trim spaces, unify spellings. Remove duplicates and obvious noise, for example typos that you would not target. 3. **Classify intent** Tag each as informational, navigational, commercial investigation or transactional. Use the results page layout as your guide. 4. **Group close variants** Cluster by meaning, not spelling. “x pricing” and “how much is x” live together. Plan one page per cluster unless intent splits. A clean row might read: “kanban board for agencies”, intent commercial investigation, notes “/solutions/agencies or a section on /solutions” with the SERP showing list posts and product pages mixed. ## Switch country and language without losing the plot Suggestions shift by market. Do not translate your English list and call it done. Build lists natively for each language and country you target. - Use the local Google domain and set Search settings to the right Language and Region. - Repeat the letter runs in the local language, for example “rechnungstool” in Germany, not “invoice tool”. - Collect local modifiers, for example “preis”, “kosten”, “vergleich” in German, “tarifs”, “avis” in French. - Map to local pages where it matters, for example localised /pricing and /compare pages. Keep the language lists separate. Do not merge English and German into one cluster. Your URLs, titles and internal links will diverge by market. ## Add volumes and difficulty the right way Autocomplete does not show volume. You need another source to size clusters. Use the free options first. - Bing Webmaster Tools keyword research shows volumes for free. Use it for a sense check by market. - Google Ads Keyword Planner shows ranges to accounts without spend and figures to accounts with it. It groups close variants. - Third-party tools estimate from Google Ads data, clickstream panels and models. Two tools will disagree. Treat both as approximations. Sum volume at the cluster level. Plan for lower clicks when the SERP has a featured snippet or an AI Overview. The number on a tool is not a click promise. Keyword difficulty is a tool estimate from the links of top results. It differs per tool and says nothing about intent fit. Open the SERP and judge fit yourself. ## Turn clusters into pages you can ship Map each cluster to one page type. Use your site structure, not just blog posts. For a SaaS, these families earn and compound over time. - Category and “best x” pages: list the space and where you sit. Example: /guides/best-kanban-tools. - Alternatives and “x vs y”: comparison content. Examples: /alternatives/trello-alternatives, /compare/trello-vs-yourproduct. - Jobs to be done: “how to do z” guides. Example: /guides/how-to-set-up-kanban-swimlanes. - Integrations: “x with y”. Example: /integrations/slack-kanban. - Pricing and competitor pricing explainers: /pricing and posts like “notion pricing explained” if you sell against them. - Your brand: make sure /, /pricing, /login, and /guides/getting-started match branded search. 1. **Prototype the page outline from the cluster** List the subtopics from suggestions as H2s. Remove fluff. Match the SERP’s depth. 2. **Write the title and H1 to spec** Keep titles near 60 characters. Include the main phrase. Write a clear H1 that mirrors it without stuffing. 3. **Place internal links that help discovery** Link from related pages and your homepage if it fits. Use descriptive anchor text that matches the intent. 4. **Publish and check Search Console** Watch the queries your new page starts earning. Expand sections that get impressions but thin clicks. A fixed page looks like “/compare/trello-vs-yourproduct” with a direct title, a clear verdict, and sections that cover the common modifiers you saw in suggestions. ## Prioritise with your own data and rivals’ footprints Do not build in a vacuum. Check where you already appear and where rivals earn. That makes your next page practical, not theoretical. - Search Console’s query table shows where you already get impressions. Expand clusters where you sit in striking distance. - site:rival.com searches reveal what Google holds of a rival. Their title tags show which queries they target today. - A rival’s sitemap.xml lists their pages. It shows which comparison and solutions pages they invest in. Pick the next page with three checks: clear intent fit, a realistic click share given the SERP features, and a path to link to it from pages you already have. ## Know the limits and avoid common traps Autocomplete is personalised. It reflects your location and search history. Use a clean setup and repeat per market to offset this bias. There are no volumes. Do not treat one suggestion as a market. Cluster by meaning, then size the cluster with external data if you must. Freshness shifts lists. Trends and news will move suggestions by the week. Date your exports. Revisit quarterly, not daily. Policy filters hide some terms. Absence in autocomplete does not mean zero demand. Cross check with People also ask and Related searches on the results page. > Warning: do not publish one page per close variant when the intent is the same. Merge into one strong page and use sections and anchors. ## Questions ### Is Google autocomplete enough for keyword research? No. It is great for ideas and wording, and fast. It does not show volume or difficulty. Add volumes from Bing Webmaster Tools or Google Ads Keyword Planner, and judge intent by opening the results page. ### How do I get country specific suggestions? Use the right Google country domain and set Language and Region in Search settings. Redo the letter-by-letter runs in the local language. Keep separate sheets per market and map to localised pages. ### What is the alphabet soup method exactly? Pick a seed like “note taking app”. Type a space then each letter a to z and copy the suggestions. Do the same with leading words like “best”, and wildcards like “for ” in the middle. Work quickly and save by market and date. ### How do I turn suggestions into a page plan? Cluster close variants by meaning. Assign an intent. Map each cluster to one page type, for example /compare/x-vs-y or a guide. Outline H2s from the modifiers you saw. Publish, then refine from Search Console queries. ### How often should I repeat this research? Quarterly is enough for most sites. Google has said about 15 percent of daily searches are new, and freshness affects suggestions. Update when you enter a new market, ship a major feature, or see intent shifts in Search Console. ### Should I use a tool to visualise suggestions? You can. AnswerThePublic turns autocomplete ideas into question and preposition wheels. Use it to speed up collection, then verify each idea manually in Google and cluster in your own sheet. ## Read next - [Keyword research without a paid tool: five free sources that are enough](https://porteur.ai/guides/keyword-research-without-tools): Do keyword research for free with Search Console, Google’s own pages, rivals’ sites and Bing volumes. A simple method, a worked example, clear steps. - [Search intent: what the results page tells you to build](https://porteur.ai/guides/search-intent): Learn the four intents, read intent from the results page, and fix pages that will never rank by changing their kind, not just the words. - [People also ask: turning Google’s questions into sections](https://porteur.ai/guides/people-also-ask): See what People also ask is, where questions come from, how to collect them, write two-sentence answers, add FAQ markup, and track results. - [Keyword search volume: where the number comes from and how far to trust it](https://porteur.ai/guides/keyword-search-volume): What search volume really is, how tools make the number, where it misleads, and how to use it to rank pages against each other, not as a forecast. - [Keyword difficulty: what the number means and when to ignore it](https://porteur.ai/guides/keyword-difficulty): Treat keyword difficulty as a links proxy, not a gatekeeper. Learn when the score helps, when it misleads, and how to read the results page yourself. - [Competitor keyword analysis by hand, with free data](https://porteur.ai/guides/competitor-keyword-analysis): Choose the right rivals, read their sitemaps, pull free keyword clues, find the gaps, and turn them into pages you can ship this week. - [Keyword research for a SaaS: the six families that matter](https://porteur.ai/guides/keyword-research-for-saas): The six keyword families that drive SaaS signups, how to find and size each, what to build first on a new product, with a worked example. Paste your URL to get a free check that reads your site, nearby searches and rival pages in about thirty seconds and shows three findings you can act on. Free check: https://porteur.ai/