Keyword Research — Long-Tail Ideas from Google Suggest
Expand a seed term into long-tail keyword ideas from Google’s autocomplete, grouped with a heuristic difficulty signal. Find phrasing, then validate volume.
About Keyword Research
Keyword Research is a Growth Suite tool that discovers topic and long-tail keyword ideas by expanding a seed term through Google Suggest — the same autocomplete that powers the search box — and groups the results with a heuristic difficulty estimate. There is no API key to manage and no per-query cost, because it queries the free public Google Suggest endpoint directly. It is a paid Growth Suite feature: usable on the Free plan within a monthly cap, unlimited on Ultimate, with a 30-day trial. Use it to surface the exact phrasing real people type into Google, then validate hard numbers elsewhere if you need them.
Use cases
- Planning a blog cluster around one topic. You’re about to write a guide on ’sourdough starter’ and need angles you haven’t thought of. Enter the seed term and the tool expands it into phrases like ’sourdough starter not rising,’ ’sourdough starter discard recipes,’ and ’sourdough starter day 3.’ Each becomes a subheading or its own post, so your cluster covers the questions people actually search instead of guessing.
- Finding buyer phrasing for product pages. Running an online store for hiking gear, you expand ’trail running shoes’ and see modifiers like ’for wide feet,’ ’for flat feet,’ and ’waterproof.’ These reveal how shoppers describe their needs, so you can name collections and write product copy in their words — matching real intent rather than the generic ’best running shoes’ phrasing every competitor already targets.
- Sourcing video titles and FAQ sections. Before filming a tutorial, you expand ’excel pivot table’ and collect autocomplete phrases such as ’pivot table not refreshing,’ ’pivot table calculated field,’ and ’pivot table from multiple sheets.’ You turn the most common ones into chapter markers and an on-page FAQ, so the video and its description answer the specific questions viewers type — improving the odds of surfacing for those searches.
- Briefing a landing page from a service term. A bookkeeping agency expands ’small business accounting’ and uncovers ’for ecommerce,’ ’software for self-employed,’ and ’near me’ variations. These become headline tests and FAQ entries for a new service page, so the copy speaks to the exact situations prospects describe — and the team gets a ranked starting list to validate against a paid volume tool before committing budget.
How it works
- Enter a seed keyword. Type a single topic or phrase — like ’meal prep’ or ’react hooks’ — into the search box and choose your target market’s language and region if prompted.
- The tool queries Google Suggest. It sends your seed to the free public Google Suggest endpoint — no API key required — and gathers the autocomplete completions Google returns for that prefix.
- Expand into long-tail variations. It appends letters and question words to your seed (a-z, who, what, how, best, vs) and re-queries, multiplying one term into dozens of real long-tail suggestions.
- Group and score by heuristic difficulty. Results are clustered by theme and tagged with a relative difficulty signal derived from phrase length and modifiers — a directional hint, not a verified keyword-difficulty score.
- Review, copy, or export. Scan the grouped ideas, copy the phrases worth pursuing, and carry them into your content brief or a paid volume tool to confirm hard search numbers.
Examples
Input: Seed: ’cold brew coffee’
Output: Ideas grouped into themes — Recipes: ’cold brew coffee ratio,’ ’cold brew coffee concentrate’; Problems: ’cold brew coffee bitter,’ ’cold brew coffee not strong’; Comparisons: ’cold brew coffee vs iced coffee.’ Each tagged Low / Medium / High heuristic difficulty.
Difficulty tags are relative hints based on phrasing — confirm true competition in Ahrefs or Semrush before prioritizing.
Input: Seed: ’notion templates’
Output: Long-tail expansions like ’notion templates for students,’ ’notion templates free,’ ’notion templates aesthetic,’ and ’notion templates project management,’ clustered by audience and intent so you can pick the angle closest to your offering.
No monthly-volume figures are shown — these are ideas and phrasing, not a forecast of traffic.
Input: Seed: ’python decorators’
Output: Question-led results such as ’python decorators explained,’ ’python decorators with arguments,’ and ’python decorators vs wrappers’ — ready-made headings for a tutorial or docs page that mirror how learners phrase the topic.
Frequently asked questions
Is Keyword Research free, or does it cost money?
It’s a paid Growth Suite tool, but you can use it on the Free plan up to a monthly cap — enough to try it on real projects. Heavy users upgrade to Ultimate for unlimited runs, and every paid plan includes a 30-day trial. There’s no per-query charge from us, since it uses the free public Google Suggest endpoint.
Does it show exact monthly search volume and keyword difficulty?
No — and this is the most important thing to understand. It returns keyword ideas and a relative, heuristic difficulty signal, not exact monthly search volume or true keyword difficulty. Those numbers require a paid data provider like Ahrefs or Semrush. Use this tool to discover topics and phrasing people actually type, then validate hard volume there if you need it.
Do I need an API key or an Ahrefs/Semrush subscription to use it?
No. Unlike many keyword tools, this one doesn’t require any API key or third-party subscription. It calls the free public Google Suggest endpoint — the same autocomplete behind Google’s search box — so there’s nothing to connect and no usage that bills to an external provider. Your only limit is your ZTools plan’s monthly cap.
Where do the keyword ideas come from?
Every suggestion comes from Google Suggest, the autocomplete service that powers Google’s search box. Because those completions reflect what real users have typed, the phrasing is genuine rather than machine-invented. The trade-off is that Google doesn’t return volume or competition data through this endpoint, so the difficulty grouping is our own heuristic layered on top.
How is the difficulty estimate calculated, and can I trust it?
It’s a heuristic — derived from signals like phrase length and the modifiers present, not from live SERP analysis. Longer, more specific phrases generally score easier; broad head terms score harder. Treat it as a directional sort order to triage ideas, not a verified competition score. For decisions involving real budget, confirm difficulty in a dedicated SEO tool.
Do my seed terms stay private?
Your seed term is sent to Google’s public Suggest endpoint to fetch completions — that request reaches Google, just as typing in the search box does, so it isn’t a fully offline tool. ZTools doesn’t sell your queries or build a profile from them, but be mindful that the lookup itself is a live call to Google.
Can I research keywords in other languages or regions?
Yes. Because Google Suggest is localized, you can set the language and region so completions reflect how people search in that market — for example German modifiers for a German site, or UK phrasing instead of US. The same seed can surface different long-tail ideas depending on the locale you choose.
Pro tips
- Start broad, then re-seed: take a promising long-tail result and feed it back in as a new seed to mine a second layer of even more specific phrases.
- Watch the question-word groups (how, what, why, can) — these map directly to FAQ entries and featured-snippet opportunities.
- Treat ’vs’ and ’alternative’ suggestions as comparison-page briefs; they signal high commercial intent worth a dedicated page.
- Run the same seed in each target locale before translating content — search phrasing rarely maps one-to-one between languages.
- Always pair the heuristic difficulty with a real volume check in Ahrefs or Semrush before committing budget — the tool finds the idea, not the forecast.
- Export your shortlist early so you can dedupe across multiple seeds and spot the phrases that keep recurring — those are your cluster pillars.
Reviewed by Ahsan Mahmood · Last updated 2026-06-05 · Part of ZTools.
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