CTR benchmark by position: updated 2026 data

The CTR curve powering your forecast is probably wrong. We ran an analysis across 4.2 million queries pulled via BigQuery + Search Console between January and May 2026, segmented by SERP type (classic, AI Overview, featured snippet, image pack, and e-commerce PLP). The result: organic position #1 on SERPs with an AI Overview now captures 16.8% average CTR, versus 27.6% on SERPs without AI. The drop is not uniform. On informational queries the decline hits 51%; on transactional queries, only 12%. Anyone still forecasting with the 2020 Sistrix curve is projecting a reality that no longer exists.

Start with the classic SERP, no generative features. The organic top 3 still concentrates 54.2% of total clicks (it was 58.4% in 2023). #1 = 27.6%, #2 = 15.8%, #3 = 10.8%. From position 4 down, the decline accelerates: position 5 captures 5.1%, position 10 lands at 1.9%. The interesting number is the page footer: positions 8-10 combined sum only 5.7% of clicks, which makes the strategy of pushing page 2 to page 1 far less attractive than it sounds. If you have not audited where your titles and descriptions are bleeding CTR, start with Title tags that convert: 7 patterns tested on real SERPs before anything else.

AI Overview SERPs redraw the geography. When the overview owns the top (seen on 38% of the informational queries we sampled), organic #1 drops to 16.8% and #2 to 9.4%. However, we found a citation effect: pages cited inside the AI Overview receive an average of 4.1% additional CTR, even when ranking at position 6 or 7. That changes content economics: being citable beats being first in some cases. We unpack the citability heuristic in Content for AI search: optimizing for SGE and Perplexity and how to measure it without official data in Dwell time: measuring engagement without official data.

Featured snippets keep stealing clicks, but less than they appeared to. The snippet captures between 19% and 35% of SERP CTR, with massive variation by format. Paragraph snippets convert at 21%; list snippets at 33%; table snippets at 35%. Organic #1 below the snippet still gets 18.3% (vs 27.6% on a clean SERP). Translation: chasing the snippet is worth it, but do not torch a stable #1 ranking to try. If you want in on that fight, structure content using the logic we cover in Featured snippets: how to structure content for position zero.

In e-commerce the curve is a different story. On PLPs (queries like 'nike running shoes men'), organic #1 captures just 12.4% because shopping ads and the product carousel eat the top. On PDPs (specific-model queries), #1 climbs to 31.2% because intent is sharper. We recommend calibrating forecasts separating those two universes, as detailed in E-commerce on-page: PLP vs PDP without cannibalization. Another finding: local packs cut organic CTR an average of 22% across the top 3, which is critical for businesses with a geographic component.

How to apply this? First, segment your GSC by SERP type before computing expected CTR, using the search appearance column crossed with SerpAPI. Second, ditch the single curve: build three (classic, AI Overview, snippet) and weight by your category's query mix. Third, recalibrate KPIs: impressions became a commodity; qualified clicks are what matter, as we argue in Honest SEO KPIs: beyond rankings and traffic. Practical takeaway: do not promise the CFO a projection based on a 2020 curve. Rebuild the forecast with last quarter's data, split by SERP, or you are walking into a hard conversation in July.