This is a simple workflow that can be used to generate several keywords using the Google autosuggest Function.
To do this you need to send HTTP requests to the google autogenerate endpoint and you get up to 10 keywords per search. This will pretty sure save you lots of time in keyword research
This is an example of the results
Here is the template. You can access it here
Hi, how do I make it work? there it says “Test url”, I’ve already tested it with the test url and production url and it doesn’t work.
What data do I need to change?
On the webhook url add this ?q=keyword research
http://localhost:5678/webhook-test/76a63718-b3cb-4141-bc55-efa614d13f1d?q=keyword research where Keyword research is your desired keyword
but the webhook node cannot edit the url, where do I do that
Whenever I use it, do I need to put this url in the browser to search??
I did a test with the word “crochet”, are these results from the most searched words on Google right now?
Taking this to the next level with AI to research competitor content and formulate the perfect SEO strategy
I’ve tried this Google Autosuggest trick before, and it’s a game-changer for quick keyword ideas! I used it when I was updating my site’s blog for my plumbing business and wanted to target long-tail keywords like “fix a leaky tap DIY.” It really saved me hours compared to brainstorming or using paid tools.
It really saved me hours compared to brainstorming or using paid tools.One thing I realized, though, is that while it’s great for ideas, understanding which keywords have real search volume and potential can be tricky. That’s when I reached out for UK SEO services to get deeper insights and refine my strategy. They helped me turn those raw suggestions into a focused list that actually brought in traffic.
Generating keywords for SEO starts with understanding what your audience is actually searching for, not just guessing topics. The goal is to find real search terms that match intent—whether someone is looking to buy, learn, or compare something. A good approach is to start with a core topic, then expand it into variations like questions, long-tail phrases, and related terms.
One of the easiest ways to do this is by using Google’s autocomplete, “People also ask” section, and related searches at the bottom of results pages. These give you real queries people are already typing. You can also analyze competitors’ pages to see what keywords they are targeting and identify gaps you can fill.
Tools can speed this process up a lot. For example, Google Keyword Planner helps estimate search volume, while other platforms suggest keyword clusters and related ideas. You can also use Free Web SEO Tools to quickly explore keyword opportunities and get a better sense of what might work for your niche without needing expensive software.
The key is not just collecting keywords, but organizing them into groups based on intent and building content around those groups. That’s what actually helps improve rankings and traffic over time.
This is a clever workflow because keyword research is one of those repetitive SEO tasks that’s easy to automate but still takes a lot of manual time. Using Google Autosuggest as the starting point makes sense since it surfaces real search queries and quickly generates long-tail ideas from a seed topic.
One improvement I’d consider is adding a filtering layer after generation: remove duplicates, group keywords by intent (informational, commercial, transactional), and prioritize by search volume or competition before sending them into content planning. Community examples using n8n also show value in combining keyword generation with clustering and competitor analysis instead of collecting raw lists only.
The real advantage isn’t generating more keywords; it’s turning them into organized topic clusters that are easier to publish and track over time. Nice workflow overall and easy to expand into a complete SEO pipeline later.
