Free SERP Traffic Value Estimator
Turn a keyword's volume, position, and value-per-click into projected monthly clicks and revenue - and see what moving up the rankings is actually worth, with AI Overview and SERP-feature impact modeled in.
Keyword type
Current position
8
Target position
3
SERP features present (they reshape real CTR)
Estimated impact
140
clicks / mo
$560
value / mo
480
clicks / mo
$1,920
value / mo
Moving #8 → #3 is worth
+$1,360/mo
$16,320/yr · +340 clicks/moWhat is your ranking actually worth?
Every keyword ranking has a dollar value: multiply its monthly search volume by the click-through rate for your position, then by what a click is worth to your business (a fair proxy is the keyword's cost-per-click - what you would otherwise pay for that visitor). This estimator does that math and, crucially, lets you compare two positions side by side so you can answer the question that actually drives SEO decisions: "if we move from position 8 to position 3, how many more clicks and how much more revenue is that?" It turns an abstract ranking goal into a concrete business case.
Why one static CTR curve is no longer enough
Most traffic-value calculators apply a single fixed click-through curve, but the 2026 search results page rarely looks like the clean ten-blue-links model those curves assume. AI Overviews, featured snippets, ad blocks, and local packs all push organic results down and absorb clicks before users ever reach them - and the effect is strongest at the top. Published studies show AI Overviews can cut position-one organic CTR by roughly half. This tool lets you toggle those SERP features on and applies research-based impact multipliers, so your estimate reflects the results page your keyword really has, not an idealized one. It also separates branded from non-branded curves, since branded queries concentrate far more clicks on the top result.
From estimate to strategy
Use the before-and-after view to prioritize: the keywords where a realistic position gain unlocks the most value are where your SEO effort pays back fastest. Model the AI Overview scenario on your money keywords to see how much organic click risk you carry if an AI Overview appears - that is the case for investing in the structured, citable content that earns a place inside the Overview rather than being buried beneath it. Export any scenario to CSV to drop into a proposal or forecast. Remember these are modeled estimates from published averages, not guarantees; actual CTR varies by intent, brand strength, and how compelling your title and snippet are.
Frequently Asked Questions
Monthly clicks = search volume × click-through rate for your position. Monthly value = clicks × value per click. We use published CTR-by-position curves for the click rate, and you supply the value per click - the keyword's cost-per-click is a solid proxy, since that is roughly what the same visitor would cost via ads. Comparing two positions gives you the uplift a ranking improvement is worth.
Studies through 2025-2026 consistently show AI Overviews significantly depress organic clicks, with position-one CTR reductions commonly reported around 40-60% when an Overview is present, because the AI answer satisfies many users before they scroll to organic links. The impact is largest at the top of the page and smaller further down. This tool applies a research-based multiplier when you toggle the AI Overview scenario on.
The simplest reliable proxy is the keyword's cost-per-click from Google Ads or a keyword tool - it reflects what the market pays for that visitor. If you know your own economics, you can be more precise: value per click = (conversion rate × average order value × margin) for that keyword's traffic. Either way, the estimate scales linearly with this number, so it is easy to run best- and worst-case versions.
When someone searches your brand name, they overwhelmingly click the top organic result - branded position-one CTR is far higher than for general queries. Non-branded, informational, and commercial searches spread clicks more evenly down the page and are more affected by ads and SERP features. Using the right curve keeps branded keywords from wildly overstating value on non-branded terms and vice versa.
No - they are modeled estimates built from published average CTR curves and SERP-feature impact studies. Your real click-through rate depends on search intent, your brand recognition, how compelling your title and meta description are, and the exact SERP layout on any given day. Treat the output as a well-grounded planning figure for prioritization and forecasting, not a promise.
Ready to Capture That Traffic Value?
Knowing a ranking is worth $X/month is step one. We do the SEO and content work that actually moves you up the page and defends against AI-Overview click loss.