How to Conduct SEO Keyword Research for Startups: A Simple Guide

You type "best project management tool" into a keyword tool and it comes back with a difficulty score of 78. Your domain authority is 12. You close the tab. That's the moment most startup keyword research dies — not from lack of data, but from a mismatch between the keywords that exist and the ones you can actually rank for.

Here's the thing: keyword research for startups isn't a scaled-down version of what big companies do. It's a different game entirely. You're not hunting volume. You're hunting winnable ground — queries where a site with almost no authority can show up and stay there. And because you have a product that people already use, you have a data source that most SEO tools don't: your own Search Console account and your paid ad history.

Why SEO keyword research for startups is a different game

Volume-first thinking is the fastest way to waste six months. I watched a founder I'll call Marta — running a small invoicing tool out of Lyon — spend most of a quarter building pillar pages around "invoice software" and "facturation en ligne." Both terms had tens of thousands of monthly searches. Her site was eleven weeks old.

She got four visits from those pages. Total. Not per month — total, across three months.

The problem isn't her content quality. It's that Google has no reason to trust a new domain on a head term where the top five results all have thousands of referring domains pointing at them. You can write the best page on the internet about "project management software" and it will sit on page six until you've earned the authority to compete there. Authority you don't have yet.

The authority-mismatch problem

Every keyword has a difficulty score. Every domain has an authority score. When they're misaligned, you lose before you start. Simple as that.

So the first decision in startup keyword research isn't "what should we write about" — it's "what's the ceiling on our authority right now?" And that ceiling should drive every filter you set.

• Brand new, no backlinks: target KD under 15, long-tail only, and expect 3–6 months before meaningful traffic.
• Some traction, a handful of referring domains: KD up to 25, mixed long and mid-tail.
• Six months of consistent publishing and a few decent links: you can test KD 30–40, but expect those to take 4+ months to move.

I'll admit I got this wrong for the first couple of months. I treated "difficulty" as a suggestion rather than a hard ceiling and burned most of my writing budget on terms I had no business competing for. The lesson wasn't subtle.

Start with Google Search Console — not a keyword tool

Before you open Ahrefs or Semrush, open Google Search Console. It's free, and it's the single most underused keyword research asset a startup has.

Why? Because Search Console shows you queries you already appear for. Those queries are real demand signals — Google has already indexed your site and decided it's relevant enough to show. That's a much better starting point than a database of theoretical keywords you've never been seen for.

Google Search Console setup — the 10 minutes that pay for themselves

If you haven't set it up properly, do this first:

1. Verify your property (DNS record or HTML tag — DNS is cleaner and survives theme changes).
2. Submit your sitemap under "Sitemaps." If you don't have one, most CMS platforms generate it automatically at /sitemap.xml.
3. Wait 48–72 hours for data to populate. New properties are empty at first — don't panic.
4. Open Performance → Search results, set the date range to the last 3 months, and add the "Position" filter for 11 to 20.

That last step is the whole trick. Queries ranking between positions 11 and 20 are on page two (or the bottom of page one, depending on device). Google has decided you're relevant. You just aren't good enough yet. These are the easiest wins on your entire site — update the existing page, add depth, internal-link to it, and watch positions climb.

What to actually pull out of it

Export the table and sort by impressions, not clicks. High-impression, low-click queries tell you one of two things: either your title tag is weak, or you're ranking too far down. Both are fixable.

On my own site, I found a query sitting at position 14 with 2,400 monthly impressions and a 0.4% click-through rate. The page was ranking, just not well enough to be clicked. I rewrote the intro, added a comparison table, and linked to it from two newer posts. Six weeks later it had climbed to position 6, and clicks went from roughly 10 a month to just over 200. Same page. No new content. That's the ROI of looking at your own data first.

Mine your paid search data for validated keywords

If you're running any paid ads — even a small test budget — you already have a keyword research tool most SEOs ignore: the search terms report.

Here's what makes it valuable. A keyword tool tells you what people search for. A search terms report tells you what people search for and then click on your ad. That second part is the filter that matters.

Pull the search terms report for the last 90 days and look for:

• Queries with a decent click-through rate but no conversions — likely informational, good for content.
• Queries that converted — these are your highest-priority pages. If someone paid money after searching that phrase, an organic page targeting it has proven commercial intent.
• Queries that triggered your ad but are clearly irrelevant — negative keywords, yes, but also a signal that your targeting is too broad.
• Any phrase with the word "how," "what," "best," or "vs" in it. Those are content opportunities hiding in your ad account.

Total cost of this research: zero euros beyond what you're already spending on ads. I spent a small test budget — around 400 euros over six weeks — purely to harvest search terms, and walked away with eleven content ideas I wouldn't have found any other way. Two of them became posts that still bring in steady organic traffic.

Building a target list you can actually win

Once you've got candidates from Search Console and your ad account, you need to filter. Most startups over-collect and under-execute.

The prioritisation matrix that works for low authority

Score each keyword on four things, not the two you're used to:

Factor	What to look for	Weight
Difficulty (KD)	Under 20 for a new domain, up to 30 with some traction	High
Intent match	Does the searcher want what you sell, or something adjacent?	High
Volume	100–1,000 monthly. Anything above 1,000 on a low-authority site is usually a trap	Medium
Product proximity	Can you demonstrate your product inside the content?	Medium

Notice the weight distribution. Difficulty and intent together account for most of the decision. Volume is a distant third for a startup — because a keyword at 200 searches per month that converts at 8% beats one at 5,000 that converts at 0.2%, every single time.

How many keywords should you target in your first 90 days?

Fifteen to twenty-five. That's it. Fewer if you're a team of one.

I've seen startups build a 400-keyword content plan in a spreadsheet and publish six posts. The plan becomes the goal instead of the traffic. A tighter target list forces you to go deep on each page rather than shallow across many — and depth is what actually moves rankings when you have thin authority.

Free tools that do the job

You don't need a paid plan for the first few months. The free stack is enough:

• Google Search Console — your own query data, free, forever.
• Google Keyword Planner — volume ranges, sometimes vague, but useful for demand validation.
• Answer the Public — question-based variants, especially for long-tail.
• Google's own autocomplete and "People also search for" — real queries, no tool required.
• Your competitors' sitemaps — read them, see what topics they've built out. Not to copy, but to spot gaps.

Paid tools become worth it once you're publishing regularly and need bulk difficulty data. Not before.

Why long-tail keywords aren't the consolation prize

There's a persistent idea that long-tail is what you settle for when you can't rank for the big stuff. That framing is backwards.

Long-tail queries — the four-, five-, six-word phrases that each get maybe 50–300 searches a month — are where startups build the compounding base that eventually lets them compete on shorter terms. You publish twenty pages targeting specific, low-competition phrases. Each one earns a small amount of authority. Google starts to see your site as a coherent topical resource rather than a random collection of pages. Then, slowly, the mid-tail terms become winnable.

And here's the part people miss: a page targeting a narrow phrase often ranks for a whole cluster of related queries you never thought to target. A single post I wrote around a phrase with maybe 90 monthly searches now pulls in impressions from over 200 different queries. Those long-tail spillovers add up quietly.

Here's a comparison of how the two approaches play out over a typical first six months:

Approach	Pages published	Traffic at month 3	Traffic at month 6
Head terms (KD 60+)	6	Near zero	Still near zero
Long-tail focused (KD under 20)	18	Modest — a few hundred visits	Steady, compounding growth

The long-tail approach doesn't produce dramatic early numbers. But it produces something that a head-term approach never does at a new domain: momentum.

The mistakes I made so you don't have to

Real talk: my first keyword research attempt was a mess. Here's the shortlist of what went wrong, because these are the ones that repeat across almost every startup.

• Chasing volume above all else. I picked keywords by search volume because it felt like a proxy for "importance." It isn't. It's a proxy for "difficulty."
• Ignoring intent. A keyword with huge volume that's informational when your product is transactional will bring traffic that never converts. I learned that one the slow way.
• Never revisiting the list. Keyword data goes stale. Queries I flagged as "too hard" two years ago are now winnable because my site has grown. Recheck the list every quarter.
• Skipping Search Console entirely. The first time I actually looked at my 11–20 position queries, I found three pages that needed a small update to double their traffic. That should have been step one.

None of these are exotic. They're just the default behavior when you open a keyword tool and start sorting by volume. The fix is to slow down and set the filters before you start looking.

What happens after the keyword list exists

Keyword research is the map, not the trip. Once the list is built, the work shifts to mapping each keyword to a page — one primary keyword per page, with supporting variants woven in naturally. Then you publish, wait, measure, and adjust.

Here's what I'd tell any founder starting from zero today: your best keyword research is already sitting in your own Search Console account and your ad account, waiting for you to look. The tools and databases come later, when you have enough ground beneath you to compete.

The startups that win at this aren't the ones with the biggest keyword spreadsheets. They're the ones that picked twenty winnable phrases, went deeper on each than anyone else was willing to, and refused to chase the volume number that had nothing to do with whether they could actually rank.

Winnability over volume. Every time.