Featured snippet

nounalso called position zero or answer box

Definition

A featured snippet is a highlighted excerpt Google shows at the top of some results to answer the query directly, lifted from one ranking page and credited with a link — the original answer-extraction format and the direct forerunner of AI Overviews.

Updated 5 min read10 cited sources

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Why it matters for founders and small teams

Featured snippets taught a generation of marketers how to write a passage Google would lift, and that skill is exactly what AI Overviews and chatbots reward now. The snippet box itself is a shrinking prize — Ahrefs tracked it falling from about 15% to under 6% of US desktop results in the first half of 2025 — but for a small team, the writing habit behind it is one of the cheapest routes into AI answers.

Do featured snippets still exist in 2026?#

Featured snippets still exist in 2026 and Google still documents them, but they appear far less often: Ahrefs found them on 15.41% of US desktop results in January 2025 and 5.53% by June, a decline that closely tracked the expansion of AI Overviews.

5.53%

of 1 million US desktop results showed a featured snippet in June 2025, down from 15.41% in January

Ahrefs, Jul 2025

0.9

correlation between the fall in featured snippets and the growth of AI Overviews

Ahrefs, Jul 2025

−57%

fewer queries earning one large site a featured snippet between September 2024 and March 2025

GSQi, Mar 2025

Ahrefs’ conclusion: “It seems very likely that AI Overviews have superseded Featured snippets.” Google hasn’t announced retiring the format — its featured snippets documentation still describes how they work and how to opt out — so treat the snippet as a smaller, still-live prize, and check which of your own queries still show one rather than assuming either way.

Featured snippets vs AI Overviews: what's the difference?#

A featured snippet quotes one ranking page almost word for word and links to it; an AI Overview is a new answer written by a Gemini model from several pages — often pages that don’t rank for the typed query — with multiple links attached.

Featured snippetAI Overview
What’s shownAn excerpt lifted from one pageA generated summary
Where sources come fromOne page, almost always already on page oneSeveral pages; in 2026 data, most outside the top 10
How sources are foundRanking for the query as typedQuery fan-out across related sub-queries
Your linkOne prominent linkOne of several inline links and cards
Opt-out controlsnosnippet, max-snippet, data-nosnippetThe same, plus Search Console’s Search generative AI setting

The sourcing gap is the big change. Ahrefs’ 2017 study of 2 million featured snippets found 99.58% came from pages already ranking in the top 10; its March 2026 study found only 37.9% of pages cited in AI Overviews ranked top 10 for the query. One thing carried over intact is eligibility: both formats use only pages allowed a snippet, so snippet controls switch off both at once.

Google also deduplicates snippets: “If a web page listing is elevated to become a featured snippet, we don’t repeat the listing later on the first page of results.”

Rankbox benchmark

The Liftable Passage Benchmarks

Five thresholds for a passage that can serve as a featured snippet and an AI citation at once. Each comes from published documentation or research, except one clearly labelled rule of thumb.

Top 10

Rank before you format

Ahrefs’ 2017 study of 2 million snippets found 99.58% came from page-one results. AI Overviews cast wider — 37.9% of cited pages ranked top 10 in Ahrefs’ March 2026 data — but the snippet itself still needs page one.

First 30%

Where the answer sits

44.2% of ChatGPT citations came from the first 30% of a page’s text (Growth Memo, Feb 2026). Answer the page’s main question near the top, not after a long introduction.

≤ 150 chars

The quotable sentence

Claude’s web search citations quote up to 150 characters of the source (Anthropic documentation). A first sentence that states the answer within that length can be quoted whole.

40–60 words

The answer paragraph (rule of thumb)

A long-standing practitioner convention for paragraph snippets, not a Google rule — Google says it has no exact minimum length. Long enough to answer completely, short enough to quote.

120–180 words

The whole section

Sections of this length between headings averaged 4.6 ChatGPT citations, against 2.7 for sections under 50 words (SE Ranking, 129,000 domains).

How to read it: Check each key section against all five before publishing. Failing a length row is an edit; failing the top-10 row means the snippet needs ranking work first — though the same passage can still be cited by AI engines through fan-out.

Free to use and adapt. If you cite it, link to rankbox.xyz/glossary/featured-snippet.

How do you get a featured snippet?#

To get a featured snippet, first rank on page one for the query, then answer it directly under a heading that matches it — a short paragraph for “what” and “why” questions, a numbered list for steps, a table for comparisons — in text Google is allowed to quote.

  1. Rank in the top 10 first. Snippets almost always come from pages already on page one, and there’s no way to mark a page as a featured snippet yourself — Google’s systems decide.
  2. Target queries that already show one. Among the queries you rank for on page one, those showing a snippet today are your best openings: you’re already eligible, and a clearer, better-formatted answer may be enough to take the box.
  3. Match the format Google shows. Paragraph snippets answer definitions and whys; list snippets show steps or rankings; table snippets show comparisons. Mirror the current snippet’s shape and beat its substance.
  4. Put the answer right under the heading, as a complete statement: the subject named, the answer in the first sentence, the detail after.
  5. Keep snippet controls open. Google says featured snippets “will only appear if enough text can be shown,” so a low max-snippet value opts you out.

Common mistakes with featured snippets#

The most common featured snippet mistakes today are chasing the snippet as the end goal while AI Overviews replace it, blocking snippets with restrictive controls, and writing a teaser that holds the answer back instead of a complete answer that can be quoted.

Myth

Featured snippets are fading, so snippet-style writing is pointless.

Reality

The box is rarer; the skill isn’t. AI engines extract passages the same way — Growth Memo found 44.2% of ChatGPT citations came from the first 30% of a page.

Myth

Schema markup earns a featured snippet.

Reality

Google’s systems decide whether a page would make a good snippet. There’s no markup that requests one, and Google says its AI features need no special schema either.

Myth

A cliffhanger answer earns more clicks.

Reality

Snippets and AI answers quote complete statements. A teaser gives the engine nothing usable, so it quotes a competitor instead — and in a zero-click search, being quoted is the visibility.

Myth

Opting out of snippets only affects the snippet box.

Reality

nosnippet also stops a page being used as input for AI Overviews and AI Mode. To protect one passage, wrap just that element in data-nosnippet.

Sources

  1. 1.Featured snippets and your websiteGoogle Search Central · developers.google.com
  2. 2.A guide to Google Search ranking systemsGoogle Search Central · developers.google.com
  3. 3.A reintroduction to Google's featured snippetsGoogle · blog.google
  4. 4.Robots meta tag, data-nosnippet and X-Robots-Tag specificationsGoogle Search Central · developers.google.com
  5. 5.How SERP features have evolved in the AI eraAhrefs · ahrefs.com
  6. 6.Ahrefs' study of 2 million featured snippetsAhrefs · ahrefs.com
  7. 7.How many AI Overview citations rank in the top 10?Ahrefs · ahrefs.com
  8. 8.Are featured snippets losing their feature?GSQi (Glenn Gabe) · gsqi.com
  9. 9.The science of how AI pays attentionGrowth Memo (Kevin Indig) · growth-memo.com
  10. 10.How to optimize for ChatGPTSE Ranking · seranking.com

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Written by

Rankbox Team

The team behind Rankbox. We study how ChatGPT, Perplexity, Gemini, and Google AI Overviews choose their sources, and publish what we learn so you can put it to work.

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