A while ago I built a small Chrome extension called Google Suggest Scraper.
It does one simple thing. You enter a base keyword, choose a language, and it pulls Google Suggest results into grouped patterns. In a recent test with “seo service”, it collected general completions as well as question-led patterns such as “can” and “how”. Simple enough. Useful enough.
It is not new.
It is not AI.
It does not promise to “unlock hidden growth opportunities”, which is already in its favour.
But I still use it.
Not because I need another keyword list. Most SEO projects already have too many keyword lists and not enough judgement. I use it because Google Suggest gets close to the way people begin describing a problem.
That still matters.
AI search has changed how answers are presented. It has not changed the fact that people ask messy, uncertain, commercially revealing questions before they buy anything.
The Keyword List Is Not the Point
The old way to use Google Suggest was predictable.
Scrape the suggestions. Export the keywords. Turn every phrase into a page, article, or FAQ. Then wonder why the site slowly turns into a cupboard full of thin content.
That was never the best use of the data.
A scraped suggestion is not a content brief. It is a clue.
When someone searches around a service, they are not always looking for a neat definition. Often they are exposing hesitation. They want to know what it costs, whether it works, how long it takes, whether it applies to their situation, and whether the provider can be trusted.
That is more useful than the keyword itself.
The keyword is just the surface.
What the Scraper Shows Me
The value of the Google Suggest Scraper is that it keeps me close to the language around demand.
Businesses describe services from the inside out. Buyers search from the outside in.
The business says “strategic SEO consultancy”.
The buyer asks whether SEO is worth it, how much it costs, how long it takes, whether results can be guaranteed, and what the difference is between an agency, a consultant, a freelancer, and someone on LinkedIn who has discovered personal branding.
That gap is where the useful work starts.
The scraper makes the gap visible.
Not perfectly. Google Suggest is not clean market research. It is shaped by location, language, trends, filtering, and whatever Google decides to show at the time.
Fine.
I do not use it as a demand forecast. I use it as a way to overhear how the market phrases uncertainty.
That is usually enough to improve a page.
How I Use It for SEO Work
I use the scraper before rewriting important service pages.
Not to find phrases to stuff into headings. That version of SEO should have been retired years ago, along with most “ultimate guides”.
I use it to see what the current page is avoiding.
Take a service page. Run the main service term through the scraper. Read the grouped suggestions. Then compare them with the page.
Quite often, the problem becomes obvious.
The page talks about “tailored solutions”, but people are asking how the service actually works.
The page talks about “measurable growth”, but people are asking how long results take.
The page talks about “expert support”, but people are asking whether the whole thing can be trusted.
The page asks users to book a call, but has not answered enough for them to feel ready to book one.
That is not a keyword problem.
That is a communication problem.
Google Suggest data helps expose it.
This is also why the tool fits neatly into Strategic SEO Consulting. Good SEO strategy is rarely about finding more things to do. It is about seeing which questions matter, which pages are failing to answer them, and where effort is being wasted.
Not exciting.
Often useful.
How I Use It for Content Planning
I also use the scraper when deciding whether a topic deserves separate content.
Not every suggestion needs an article. Most do not.
But when several suggestions circle around the same concern, there may be a proper topic there.
Cost is a good example. If suggestions around a service keep pointing to pricing, cheap options, retainers, contracts, guarantees, and results, the real topic is not just “how much does it cost?”
The real topic is risk.
People are trying to work out what they are buying, why prices vary, and how not to waste money.
That deserves a better answer than a 700-word blog post with three stock images and a conclusion that says “it depends”.
Sometimes the answer belongs on the service page. Sometimes it deserves a full article. Sometimes it belongs in sales material. The scraper does not decide that.
It gives me the raw language.
The judgement comes afterwards.
Annoying, but still necessary.
Why It Still Matters for GEO
This is also useful for GEO, or AI Search Optimisation, or whatever we are calling it this month.
No, scraping Google Suggest will not make you “rank in ChatGPT”.
That phrase needs a lie down.
But AI search does increase the value of clear source material. If search engines and answer systems are going to understand, summarise, cite, or ignore your business, your site needs to explain things properly.
This is where the idea of a Grounding Page becomes relevant.
Not as magic AI bait.
More as a disciplined facts layer. A place where a business states clearly who it is, what it does, where it operates, what it offers, what it does not offer, and what can be verified.
Google Suggest data can help stress-test that clarity.
When people repeatedly ask about cost, process, suitability, limitations, comparisons, or proof, those are not just content ideas. They are signals that your source material may need to be clearer.
Some of that belongs on service pages. Some of it belongs in supporting articles. Some of it may belong in a grounding page or a better About page, especially where the issue is factual rather than persuasive.
This is also where a proper AI search audit becomes useful. Not because it tells you whether you “rank in AI”. That is still the wrong frame. The better question is whether your brand, services, claims, and supporting content are clear enough for AI-driven systems to retrieve, interpret, and trust.
The scraper does not optimise for AI directly.
It helps you make your content clearer, more specific, and less dependent on brand fog.
Which is still the grown-up version of SEO, despite the industry’s best efforts to rename it every six months.
The Tool Is Simple. That Is the Point.
The Google Suggest Scraper is not a strategy.
It is a small research tool.
I use it to check the language around a topic, spot buyer hesitation, improve service pages, sharpen content briefs, and make sure the site is answering real questions rather than just performing authority.
The keyword list is still useful.
But it is not the prize.
The prize is seeing what the page has not answered yet.
That is why Google Suggest scraping still has value in the age of AI search.
Not because it is new.
Because people still ask before they trust.
If you want to try it, download the free chrome extension here .