On Google, position 1 gets roughly four times the clicks of position 3. In First Page Sage's September 2026 CTR report, the top organic result earned a 22.6% click-through rate on searches with no AI answer, against 5.8% for position 3; when an AI answer appeared, the figures fell to 3.6% and 0.8%. Whether that gap is worth chasing depends on the query's impressions, what the results page looks like and how much a visitor from that page is worth to you.
This guide is for e-commerce and Shopify teams deciding where to spend SEO effort. You will get the current position 1 vs position 3 numbers, how to read the gap, an illustrative revenue model you can copy, a decision table for when moving up pays off, and a step-by-step method for measuring the gap on your own queries in Search Console. If you want the full CTR curve for every position, read our companion guide, how much traffic does position 1 get.
Google CTR: position 1 vs 3 in 2026
The most recent large dataset is the First Page Sage Google CTR report, published September 22, 2026. It covers 3.67 billion Google impressions and 41.2 million clicks from 1,184 domains between March 1 and August 31, 2026, blends desktop and mobile, and is weighted to U.S. query volume. Crucially for this comparison, it splits every position by whether an AI answer appeared on the page.
View the data
| Value | |
|---|---|
| #1 no AI answer | 22.6% |
| #3 no AI answer | 5.8% |
| #1 blended | 7.1% |
| #3 blended | 1.7% |
| #1 AI answer | 3.6% |
| #3 AI answer | 0.8% |
Source: First Page Sage, Google Click-Through Rates by Ranking Position, Sept 2026
Three numbers matter for a position 1 vs 3 decision:
- No AI answer: 22.6% at position 1 vs 5.8% at position 3, a gap of 16.8 percentage points.
- AI answer present: 3.6% vs 0.8%, a gap of 2.8 points.
- Blended across all U.S. searches: 7.1% vs 1.7%, a gap of 5.4 points.
First Page Sage reports that an AI answer appeared on 81.6% of U.S. queries in September 2026, which is why the blended figures sit much closer to the AI answer column. It also reports that the top three organic results took 77.1% of the organic clicks left after AI answers, up from 68.7% in its 2025 report. Clicks are concentrating at the top, not spreading out.
How the studies compare
| Study | Data | Position 1 | Position 3 | Gap |
|---|---|---|---|---|
| First Page Sage, Sept 2026, no AI answer | Mar to Aug 2026, 3.67B impressions | 22.6% | 5.8% | 3.9x |
| First Page Sage, Sept 2026, AI answer present | Same dataset | 3.6% | 0.8% | 4.5x |
| First Page Sage, Sept 2026, blended | Same dataset | 7.1% | 1.7% | 4.2x |
| Backlinko, updated Apr 2025 | About 4M results, 12.2M queries, dates not stated | 27.6% | Not stated in text | Moving from 2 to 1 adds 74.5% more clicks |
The Backlinko study is older and does not split by AI answers, but it points the same way: moving up one spot raises CTR by about 32.3% on average, and the jump from position 2 to position 1 is the biggest of all at 74.5%. Its top three results took 54.4% of all clicks.
How big is the gap between position 1 and 3?
There are two ways to describe the gap, and mixing them up leads to bad forecasts.
Absolute vs relative
The absolute gap is the difference in CTR: 16.8 percentage points on a search with no AI answer. The relative gap is how many times more clicks the top spot gets: 22.6 divided by 5.8, or about 3.9 times. A relative gain sounds impressive on every query, but only the absolute gap, multiplied by impressions, tells you how many extra visitors you would actually get.
Source: First Page Sage, Google Click-Through Rates by Ranking Position, Sept 2026
Notice what AI answers do. They shrink the absolute gap from 16.8 points to 2.8 points, but the relative gap gets slightly bigger. On a query with an AI answer, being first still matters a lot compared with being third; there are just far fewer clicks to share.
Why position 2 sits in between
In the same First Page Sage data, position 2 earns 10.2% with no AI answer and 1.4% with one. So the climb from 3 to 1 is really two steps: 3 to 2 adds 4.4 points, and 2 to 1 adds another 12.4 points. Most of the value is in the last step. If you are stuck at position 2, that is often the single most valuable move on your site.
What changes the gap on your queries
Averages hide wide differences between keywords. Before you trust any benchmark for a specific page, look at the live results page for its main query on mobile and desktop.
AI answers on the page
Google's AI features documentation confirms that AI Overviews and AI Mode traffic is included in Search Console's Performance report under the Web search type. Search Console's metric definitions add that all links inside an AI Overview share a single position. That means your Search Console CTR at "position 3" mixes searches with and without an AI answer, so compare it with the blended benchmark, not the no-AI one. Since August 31, 2026, every site can also see its impressions inside AI features in Search Console's generative AI performance reports, which helps you tell which of your queries are affected.
Shopping, ads and other features
Product and category queries often show Shopping ads and free product listings above the organic results. Google says ads do not occupy an organic position, so "position 1" can still sit below a full screen of paid and product results. On those queries the gap between 1 and 3 is usually smaller in clicks, and your product feed may matter as much as your ranking.
Brand and intent
Branded searches behave differently: people looking for your store will often scroll to find you, and Backlinko found much higher position 1 CTR on branded terms. Google's own branded queries filter announcement notes that branded queries typically produce higher click-through rates. For a position 1 vs 3 forecast, use non-branded queries only.
Average position is an average
Search Console reports the average of your topmost position across every impression. A query showing position 3.0 may have ranked first on some searches and fifth on others, across devices and locations. Treat a single average as a range, not a slot.
We benchmark you against your top three competitors on Google and in AI answers, find the pages ready to move up and show the revenue math for each one.
An illustrative revenue model for moving up
Clicks only matter if they turn into orders. Here is a model for one hypothetical non-branded collection query with 20,000 monthly impressions, a 2% conversion rate and a $90 average order value. It assumes each click becomes one session and that the new visitors convert like the current ones. Swap in your own numbers from Search Console and GA4.
View the data
| Value | |
|---|---|
| #3 no AI answer | $2,088 |
| #1 no AI answer | $8,136 |
| #3 blended | $612 |
| #1 blended | $2,556 |
| #3 AI answer | $288 |
| #1 AI answer | $1,296 |
Source: QCK illustrative calculation using First Page Sage 2026 CTR data
| Scenario | Clicks at #3 | Clicks at #1 | Extra orders a month | Extra revenue a month |
|---|---|---|---|---|
| No AI answer (22.6% vs 5.8%) | 1,160 | 4,520 | 67.2 | $6,048 |
| Blended (7.1% vs 1.7%) | 340 | 1,420 | 21.6 | $1,944 |
| AI answer present (3.6% vs 0.8%) | 160 | 720 | 11.2 | $1,008 |
The same move from 3 to 1 is worth $72,576 a year in revenue on a query with no AI answer and $12,096 on one with an AI answer, in this example. That is a sixfold difference from one feature on the results page. Orders shown with decimals are expected averages, not a promise of fractional orders.
From revenue to profit
Revenue is not the return. Multiply by your gross margin, then subtract the cost of the work. At a 40% gross margin, the no AI answer scenario adds about $2,419 a month in gross profit, and the AI answer scenario about $403. If the content, technical and link work to move up costs $6,000, the first scenario pays back in about two and a half months and the second takes about fifteen. Our CTR and Ranking Value Calculator runs this math for any position and query.
When moving from 3 to 1 is worth it
Use the model to rank opportunities, then sanity-check each against the results page and the effort involved.
| Situation | Usually worth pushing for #1? | Why |
|---|---|---|
| High-intent product or collection query, no AI answer, high impressions | Yes | The biggest absolute gap, and visitors are ready to buy |
| Already at position 2 on a valuable query | Yes | The 2 to 1 step holds most of the gain |
| Informational query with an AI Overview | Sometimes | Fewer clicks to win; getting cited inside the AI answer may be the better target |
| Results page dominated by Shopping ads and product listings | Sometimes | Organic position 1 may sit below the fold; feed quality may matter more |
| Branded query where you already rank | Rarely | Searchers are looking for you and will usually find you |
| Low-impression or low-margin query | Rarely | Even a fourfold gain is too few orders to cover the work |
A useful rule: if the extra gross profit from the model does not cover the cost of the work within six to twelve months, spend that effort on a different query or on conversion rate instead. A page that converts better earns more from every position. For forecasting a full keyword set rather than one query, see our guide to SEO traffic forecasting.
AI answers now sit above the top result on most searches. Our free $100M AI Visibility Roadmap, built from 7,960 live pages and 197 A/B tests, shows how to get cited in ChatGPT, AI Overviews and Perplexity.
How to measure your own position 1 vs 3 gap
Benchmarks are a starting point. Your own Search Console data tells you what the gap looks like in your market, with your brand and your snippets. Search Console's Performance report gives you every dimension you need.
- Pick a long, stable window. Use the last 3 months, or compare the same season year over year, with the Web search type selected.
- Remove branded searches. Apply the branded queries filter and choose Non-branded. If your property is not eligible, exclude your brand name with a query filter.
- Keep one device and one country. Mobile and desktop CTRs differ, so compare like with like.
- Export queries and group them by position. Put queries averaging 1.0 to 1.5 in one group and 2.5 to 3.5 in another, and leave out anything with too few impressions to judge.
- Calculate each group's CTR properly. Add up clicks and impressions for the group, then divide. Do not average the row percentages.
- Check the results pages. For your top queries in each group, note whether an AI Overview, Shopping block or ads appear, and split the groups if the layouts differ.
- Plug your gap into the revenue model. Use the target page's own conversion rate and order value from GA4, and your margin.
Our Search Console Quick Wins Analyzer takes the same queries export and flags near-top keywords and CTR gaps, which saves most of steps 4 and 5. After you make changes, the Search Console Comparison Tool shows which queries gained or lost clicks between two periods.
Cheaper ways to win clicks from position 3
Moving up two places can take months of content, technical and link work. Before you commit to that, make sure position 3 is earning everything it can.
Rewrite the title and description
If your CTR at position 3 is below your own peer group or the blended benchmark, the snippet is the first suspect. Name the product or category the way people search for it, state what makes your offer different, and keep it short enough to show in full. Our Title Tag and Meta Description Checker previews how it will look, and our guide to improving SERP CTR covers the tactics in detail.
Earn rich result features
Product structured data can add price, availability and review stars to your listing, which helps it stand out from the results above it. Check eligibility in Google's rich results documentation before you rely on any one feature.
Get cited in the AI answer
On queries with an AI Overview, the AI answer sits above every organic result, so a citation there can matter more than moving from third to first. Clear, specific answers, product facts and comparison content on the page make it easier to cite. Our Google AI Overviews optimization work focuses on exactly that.
Deciding where to spend your SEO effort
Position 1 gets about four times the clicks of position 3, but the dollar value of that gap swings widely with AI answers, Shopping results, brand and your own conversion economics. Start with the 2026 benchmarks, replace them with your own non-branded Search Console data, run the revenue and profit math, and push for the top spot on the queries where it clearly pays. Everywhere else, improve the snippet and the page first.
If you want help finding which of your rankings are worth the climb, get in touch. Our e-commerce SEO team can model it with your real numbers.
Book a free 30-minute call. We will show you the pages closest to the top spot, the fixes to make first and what each could add in revenue.