Free Keyword CTR & Traffic Estimator

Tick this for informational/question queries where Google shows an AI Overview — it pushes organic results down and reduces clicks.

Estimated clicks / month
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Estimated CTR at this position
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PositionCTREst. clicks
Want those top-3 clicks? We help Singapore businesses climb from page 2 to the positions that actually earn traffic — and win AI Overview citations too. See our SEO services and AEO (AI-search) services, or get a free ranking audit.

Free keyword CTR & traffic estimator

Search volume is only half the story — what you actually earn is volume × click-through rate at your ranking position. This free tool — built by a Singapore SEO agency — turns a keyword’s monthly volume and your target position into an estimated monthly click figure, using blended industry CTR averages. Crucially, it also models what happens when an AI Overview appears — the single biggest change to organic CTR in years. It runs entirely in your browser.

Why position matters more than most people realise

Click-through rate drops off a cliff after the first few results. Position 1 earns roughly 28% of clicks; by position 3 that’s already down to about 10%, and anything on page 2 collects barely 1%. That’s why the same keyword can be worth 700 clicks a month at #1 and fewer than 30 at #10 — and why moving from position 5 to position 2 is often more valuable than chasing a brand-new keyword. Use the table above to see the click difference at each position for your keyword.

How AI Overviews change the maths

When Google shows an AI Overview (its generative answer box) above the organic results, it pushes the traditional blue links further down the page and answers many queries directly — so fewer people click through at all. Studies through 2025 suggest organic CTR can fall by roughly a third or more on queries where an AI Overview appears, hitting informational and question-style searches hardest. Tick the AI Overview box to apply that reduction. The strategic response isn’t to give up on those keywords — it’s to earn the citation inside the AI Overview itself, which is exactly what answer-engine optimisation (AEO) targets.

How to use these estimates

Treat the output as a planning estimate, not a guarantee — real CTR varies with intent, brand presence, rich results, ads and SERP layout. Use it to prioritise: compare the realistic click potential of climbing an existing page-2 keyword versus targeting a new one, or to build a rough traffic forecast for an SEO project. Pair it with our SERP snippet preview to write a title and description that beat the average CTR for your position — a compelling snippet can lift real clicks well above the curve.

Turning estimates into a business case

A traffic estimate only becomes useful when you attach money to it. Multiply the projected monthly clicks by a realistic conversion rate and your average order value or lead value, and you have a defensible revenue forecast for moving a keyword from, say, position 8 to position 3. This is far more persuasive to a finance team than a promise to “improve rankings”, and it lets you rank opportunities by expected return rather than by search volume alone. A 900-search term you can win cheaply often beats a 20,000-search term you never realistically will.

Be honest about the inputs. Branded queries convert far above these averages and shouldn’t be modelled with generic CTR curves; a keyword where the SERP is stuffed with ads, a shopping carousel and a map pack will bleed clicks well below the standard estimate. Treat the output as a planning range, not a guarantee, and revisit it once you have real Search Console data for the term.

Reading intent behind the volume

High impressions with a low click-through rate is one of the most misread signals in SEO. It usually means one of two things: you are ranking on page two (where even a strong result earns almost nothing), or you are ranking well for a query whose intent your page doesn’t satisfy — an informational search landing on a commercial page, for instance. The estimator can flag the first; only manual review of the query and the page can diagnose the second. Before pouring effort into lifting CTR, confirm the traffic is worth having at all.

Frequently asked questions

Where do these CTR percentages come from?

They’re blended desktop-and-mobile averages drawn from large-scale click studies of Google search results. Actual CTR for any single keyword depends on intent, brand, ads and SERP features, so use these as directional benchmarks rather than exact figures.

How much do AI Overviews reduce clicks?

Estimates vary by query type, but a reduction of around a third in organic CTR is a reasonable planning assumption for queries where an AI Overview appears — more for purely informational searches, less for commercial ones. This tool applies roughly a 38% reduction when the box is ticked.

Is position 1 always worth it?

Usually, but not always — if position 1 sits below an AI Overview, a big ad block or a shopping carousel, its real CTR can be far lower than the classic 28%. That’s why modern SEO looks at the whole SERP layout, not just the organic rank number.

Does this work for Singapore keywords?

Yes — CTR curves are broadly consistent across markets. Just use local search volume (set your Keyword Planner or Ahrefs to Singapore) and the click estimates will reflect your local audience.

Why is my actual CTR lower than the estimate?

The most common reasons are SERP features — ads, AI Overviews, featured snippets, People Also Ask and local packs all push organic results down the page and skim clicks before users reach them. A weak title tag or meta description, or a query where users are satisfied by the snippet itself, will also depress your real CTR below the modelled figure.

Should I optimise for a high-volume keyword or a cluster of smaller ones?

Often the cluster. Several mid-volume terms you can realistically rank in the top three will usually out-earn a single high-volume head term where you languish on page two. Run each candidate through the estimator at an achievable position rather than a hopeful one, then compare the totals before committing resource.