Keyword Suggestions Generator

What This Tool Does

Search engines do not publish their keyword databases, but they publish the one slice of it that matters most: the list of completions they show while you are still typing. That list, called autosuggest or autocomplete, is built from real query logs and is the closest public proxy for what people actually search for. This tool pulls that list for a seed keyword you choose, from two engines at once, and hands it back as a clean, deduplicated worklist.

• Two engines, side by side — Google Autosuggest and Bing Autosuggest, listed separately so you can see where they disagree
• Alphabet expansion — one click per letter turns a head term into its a–z long tail
• Modifier expansion — question prefixes (how, what, why) and buying suffixes (near me, for, with) that pull out intent you did not think to type
• Deduplicated count — the headline number is unique suggestions across every seed you have run, not the raw row count
• Copy and download — take the whole list to a spreadsheet, a brief, or a content plan as plain text

How It Works

You type a seed and the tool asks two public suggestion endpoints for that seed: Google's suggestqueries service, which returns the completions behind the search box, and Bing's osjson service, which does the same for Bing. Both are queried through this site's own API layer rather than straight from your browser, because neither endpoint sends the cross-origin headers a browser fetch needs. That keeps the page working under the site's strict content security policy without loosening it, and it lets the results be cached at the edge for thirty minutes so the same seed costs nothing to look up twice.

Each expansion chip sends the seed with the expansion applied — a running shoes, how running shoes, running shoes near me — and the results are grouped under the seed that produced them, so you can tell a letter expansion from a buying-intent expansion. The same suggestion often appears under several seeds; the headline count removes those duplicates so the number stays comparable to what a search volume tool would report for one term. Nothing is stored: the list lives in the page until you reload it.

How to Use It for Keyword Research

1. Start with the head term. Type the broad phrase you want to rank for and read what both engines complete it with. The first suggestions are the highest-volume, most obvious variants, and they are often easier to rank for than the term you typed.
2. Walk the alphabet. Use Expand A–Z to pull the long tail in one pass, or click single letters to stay on the ones that look promising. Long-tail terms convert better even at tiny volume because the intent behind them is specific.
3. Separate intent from curiosity. Question prefixes (how, what, why) surface people looking for an answer, which is what a tutorial or a support page should target. Buying suffixes (near me, for, with, price) surface people ready to act, which is what a product or a service page should target.
4. Look for the gaps between engines. A suggestion that only Bing completes is often a term with less competition, because most SEO tools only read Google. That asymmetry is the cheapest opportunity in this whole tool.
5. Export and prioritise. Copy the list or download it, then filter by intent and drop anything you cannot write a genuinely better page for. Twenty well-matched terms beat two hundred irrelevant ones.

Where the Suggestions Come From, and What They Do Not Tell You

Autosuggest is a demand signal, not a volume measurement. It tells you that people type a phrase often enough for the engine to keep suggesting it, but it does not tell you how many searches that is, how competitive the term is, or whether converting on it is worth your time. Engines also filter autosuggest for policy reasons, so brand and adult queries can be missing from the list entirely. Treat the output as a list of phrases worth checking, then check them in a volume tool before committing to a page.

Frequently asked questions

What is a keyword suggestion tool?

It is a research tool that expands a seed phrase into the set of related searches people actually type. You type one keyword, it returns the completions a search engine would show for it, which you then filter by intent and prioritise.

Where do the suggestions come from?

They come from the live autosuggest endpoints behind Google and Bing search boxes. Both engines build those lists from real query logs, so the suggestions reflect current search behaviour rather than a static keyword database.

Why do Google and Bing give different answers?

They run on different query logs and different indexes, so each completes a phrase its own way. A term that only one engine suggests is usually a term with less competition on that engine, which is why the tool keeps the two lists apart instead of merging them into one.

Does this tool show search volumes?

No. Autosuggest shows popularity as a list, not as a number, and no engine publishes exact query counts. Use the output to find phrases worth checking, then confirm the volume and difficulty in a dedicated volume tool before you build a page around one.

What is the difference between autosuggest and autocomplete?

They are the same feature under two names. Autocomplete is the dropdown of completions; autosuggest is the suggestion list behind it. This tool reads the same data that appears in that dropdown.

Why does the alphabet expansion matter?

Search engines complete a phrase, so a query that starts with a different letter or word reaches a different set of completions. Running a–z on a head term surfaces the long tail that the head term alone never shows, which is where most low-competition terms live.

Is the tool free and do I need an account?

Yes, and no account is needed. There is no signup, no watermark, and no limit on how many seeds you can run. Nothing you type is stored or linked to you, and the whole list disappears when you reload the page.

Do the suggestions include my own search history?

No. The lists come from the engines' aggregate query data, not from an individual profile, so they are the same for every visitor at the same moment and they never include anything you searched for.