CTR / Position Opportunity Calculator
Paste keywords with volume and current position, set a target position, and see the incremental clicks, conversions and revenue — with an AI Overview CTR haircut you can toggle on.
Keywords
Assumptions
Studies in 2024–25 put the organic CTR loss under an AI Overview at roughly 20–60% depending on query type. Applies to both current and target CTR — the gap closes, which is the point.
What moving up is worth
Keyword table
| Keyword | Pos. | CTR | +Clicks | +Revenue |
|---|---|---|---|---|
| data science roadmap | 8 → 3 | 3.3% → 11.0% | +924 | ₹69,300 |
| machine learning projects for beginners | 11 → 3 | 1.6% → 11.0% | +846 | ₹63,450 |
| data science course fees | 6 → 3 | 4.9% → 11.0% | +275 | ₹20,588 |
| python for data science | 15 → 3 | 1.0% → 11.0% | +2,000 | ₹1,50,000 |
- 01
Incremental, not total. Every figure is the gain from moving position, not the keyword’s whole value. That is what you can take credit for.
- 02
Per-row target. Leave the target blank to use the default, or set a realistic one per keyword — position 15 → 5 is a different project from 4 → 3.
- 03
AI Overview haircut. When an overview sits above the results, organic CTR falls across all positions. Toggle it on for those queries so the forecast is defensible.
- 04
Edit the curve. If you have your own GSC CTR-by-position data, paste it in. A brand-heavy or image-heavy SERP behaves very differently from the industry average.
- Where does the default CTR curve come from?
- A blend of public 2024–25 studies (Advanced Web Ranking, First Page Sage, Backlinko). Position 1 ≈ 27.6%, falling to 2.4% at position 10 and ~1% by 15. Replace it with your own GSC data when you can.
- Why does the AI Overview haircut apply to the target too?
- Because the overview does not disappear when you rank higher. The gap between current and target narrows, which is exactly the effect you need to show.
- Is my data stored?
- No. Everything runs in your browser. The share link encodes your inputs in the URL; nothing is sent to a server.
Most of these calculators started as the first slide of a client deck.
If you want the cluster model built from your GSC and GA4 data — and tied to AI search visibility, not just rankings — book a 30-minute discovery call.