Last updated September 2026.
Your rank tracker still says position 3. Your traffic report says something else entirely. That gap is not a tracking bug. It is an AI Overview sitting on top of the result, and it is costing you a specific, calculable number of clicks every month.
Most teams treat that number as unknowable. It is not. Three organizations have already published the raw click-behavior data needed to calculate it: how often an AI Overview appears, how much it cuts organic click-through rate when it does, and how many searches end without any click at all. This piece turns those three data points into one formula you can run per keyword, today, without waiting for a vendor’s proprietary “AI visibility score.”
The formula
Lost Clicks per Month = Search Volume × Historical CTR × AI Overview Trigger Rate × CTR Drop Factor
Then, to turn clicks into money:
Lost Revenue per Month = Lost Clicks per Month × Conversion Rate × Value per Conversion
Four inputs feed the first line:
- Search volume. The keyword’s average monthly search volume, from any keyword research tool.
- Historical CTR. The organic click-through rate that keyword earned before an AI Overview started appearing, pulled from Google Search Console or a position-based benchmark.
- AI Overview trigger rate. The percentage of tracked checks where Google actually shows an AI Overview for that exact query. This is not the same as “AI Overviews exist for this topic.” Trigger rate is query-specific and needs to be measured, not assumed.
- CTR drop factor. How much of the remaining organic CTR the Overview removes when it appears. This is the one constant with two credible, sourced values, and picking between them is the judgment call the next section walks through.
The sourced constants behind it
Two independent studies measured how much an AI Overview cuts organic click-through rate, and they landed on different numbers because they measured different things.
| Constant | Value | Source |
|---|---|---|
| Click rate on searches without an AI summary | 15% | Pew Research Center, 2025 |
| Click rate on searches with an AI summary | 8% | Pew Research Center, 2025 |
| CTR drop factor, conservative | 0.47 (a 47% relative drop) | Derived from Pew Research Center, 2025 |
| Organic CTR on queries without an AI Overview | 1.62% | Seer Interactive, 2025 |
| Organic CTR on queries with an AI Overview | 0.61% | Seer Interactive, 2025 |
| CTR drop factor, aggressive | 0.62 (a 62% relative drop) | Derived from Seer Interactive, 2025 |
| US Google searches ending without any click | 68% | SparkToro, 2026 |
Pew Research Center tracked the real browsing behavior of 900 U.S. adults across 68,879 Google searches and found people clicked a traditional result in 8% of visits with an AI summary present, against 15% without one. Seer Interactive tracked organic CTR across a large keyword panel and found a steeper drop: 1.62% down to 0.61% in the same period, comparing queries with an Overview to queries without one.
Neither number is wrong. They measure different populations of queries with different methods. Pick 0.47 as your conservative estimate for informational and narrative queries. Pick 0.62 as your aggressive estimate for commercial, product-comparison, and shopping queries, where an Overview often ships with a full product carousel and leaves even less reason to click through.
The 68% zero-click figure from SparkToro is not part of the multiplication. It is context: two out of every three US Google searches already end with no click at all, AI Overview or not. The formula above measures the additional loss an Overview adds on top of that baseline, on the specific keyword you are checking.
Worked examples: ecommerce, SaaS, and local service
Run the same four inputs through three different businesses and the dollar impact looks nothing alike, even when the click math is nearly identical.
Ecommerce
| Variable | Value |
|---|---|
| Keyword | ”best waterproof hiking boots” |
| Monthly search volume | 5,000 |
| Historical organic CTR | 6% |
| AI Overview trigger rate | 85% |
| CTR drop factor | 0.62 (aggressive, product-comparison query) |
| Lost clicks per month | 158 |
| Conversion rate | 2% |
| Average order value | $120 |
| Lost revenue per month | $379 |
That is roughly $4,550 a year at risk from one keyword, before you count the customers who never come back for a repeat purchase.
SaaS
| Variable | Value |
|---|---|
| Keyword | ”best project management software for remote teams” |
| Monthly search volume | 2,200 |
| Historical organic CTR | 4.5% |
| AI Overview trigger rate | 70% |
| CTR drop factor | 0.47 (conservative, informational query) |
| Lost clicks per month | 33 |
| Lost clicks per year | 396 |
| Trial signup rate | 8% |
| Lost trial signups per year | 32 |
| Trial-to-paid rate | 20% |
| Lost paying customers per year | 6 |
| Average first-year contract value | $3,600 |
| Lost first-year revenue | $21,600 a year |
SaaS funnels have more steps than ecommerce, so the formula’s output (lost clicks) is only the starting point. Carry it through your own trial and close rates before you report a dollar figure to anyone.
Local service
| Variable | Value |
|---|---|
| Keyword | ”emergency plumber columbus ohio” |
| Monthly search volume | 320 |
| Historical organic CTR | 12% |
| AI Overview trigger rate | 55% |
| CTR drop factor | 0.62 (aggressive, read-and-call query) |
| Lost clicks per month | 13 |
| Lost clicks per year | 156 |
| Click-to-booked-job rate | 18% |
| Lost jobs per year | 28 |
| Average job value | $310 |
| Lost revenue per year | $8,680 |
That is from a single local keyword with only 320 monthly searches. Local, high-intent queries carry a lot of value per click, so even a modest trigger rate moves real money.
Build the worksheet in 5 minutes
Copy these column headers into a blank spreadsheet, one row per keyword, and you have a reusable worksheet without waiting on anyone to build one for you.
Keyword | Monthly Search Volume | Historical CTR | AI Overview Trigger Rate | CTR Drop Factor | Lost Clicks per Month | Conversion Rate | Value per Conversion | Lost Revenue per Month
Fill the first five columns per keyword, then let the last two columns do the multiplication. Sort the finished sheet by lost revenue and you have a prioritized list of exactly which keywords deserve a content fix first, instead of a gut feeling about which ones “seem important.”
Where to get each input
Historical CTR comes from Google Search Console for any keyword with enough impressions to be reliable, or from a position-based CTR benchmark when a keyword is too new or too low-volume for Search Console to report on cleanly.
AI Overview trigger rate is where SE Ranking / SE Visible and Semrush fit best. Both run per-keyword AI Overview trigger detection: you load your tracked keyword list, and the tool reports back the percentage of checks where an Overview actually appeared for that exact query, updated on a recurring schedule instead of a one-time manual check.
AIO impression volume, the scale of demand already sitting behind an Overview across a whole topic, is Ahrefs Brand Radar’s specific fit. It helps you decide which keyword clusters to run through the formula first, before you spend an afternoon on a low-volume query that was never worth the analyst time.
Conversion rate and value per conversion come from your own analytics: GA4 for ecommerce and SaaS conversion rates, your CRM for trial-to-paid rates and contract values, your booking system for local service job values.
The all-in-one option is Temso. It tracks AI Overview presence across your keyword set continuously, across ChatGPT, Perplexity, Google AI Overviews, Gemini, and Microsoft Copilot, and its built-in AI SEO agent can turn a rising trigger rate straight into a prioritized content fix instead of just a line on a dashboard. It is the one tool here built to cover monitoring and the fix in a single workflow, rather than the input-gathering step alone. Plans start at $89 a month, with unlimited projects, users, and recommendations on every tier, and a 15% discount if you pay yearly.
A limit worth stating
These constants are averages across large keyword panels, not a guarantee for your specific query. Seer Interactive notes individual keyword CTRs can swing 0.8 to 1.2 percentage points around its published average, which is a wide range relative to a 1.62% baseline. Treat the formula’s output as a serious, defensible estimate for prioritization, not an audited revenue figure. And these two constants describe classic Google AI Overviews specifically; a fuller AI Mode results page suppresses clicks further still, so use this formula as a floor for that surface, not a ceiling.
What to do with the number
Run the worksheet on your top 20 keywords by search volume this week. Sort by lost revenue, not lost clicks, since the two rankings rarely match. Fix the highest-dollar keyword first: a tighter direct answer near the top of the page, clearer structure, and content built to be the source an Overview actually cites.
If you would rather have the trigger-rate column update itself instead of rechecking search results by hand every week, Temso runs that detection continuously and routes the highest-value gaps into a content fix. See the full comparison of tools that cover this work at /rankings/aeo-tools, and the scoring approach behind this site’s coverage at /methodology. Unfamiliar terms along the way are defined in the /glossary.