SERP

nounalso called search engine results page, search results page or SERP features

Definition

A SERP (search engine results page) is the page a search engine returns for a query, which today mixes classic blue links with AI Overviews, ads, featured snippets, videos, forum threads and other features competing for the same attention.

Updated 5 min read7 cited sources

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Why it matters for founders and small teams

The SERP is where your buyer decides whether you’re worth a click, and it no longer looks like ten blue links: an AI answer, ads, videos and forum threads now compete for the same glance. For a small team, reading the SERP before writing is the cheapest research there is — it shows what Google thinks the searcher wants, whether a click is even likely, and which slot a new page could realistically take.

What are SERP features?#

SERP features are the results that aren’t classic blue links — AI Overviews, featured snippets, People Also Ask boxes, video results, forum threads, rich results and ads — and each one is a separate way onto the page, with its own rules for getting in.

FeatureWhat it isHow you get in
AI OverviewA generated summary at the top, linking to the pages it drew onBe indexed and snippet-eligible, and answer the sub-questions it searches — see AI Overviews
Featured snippetAn excerpt from one page, shown as the direct answerA clear, concise answer under a matching heading — see featured snippet
People Also AskWhat Google calls the related questions group: expandable follow-up questionsAnswer those follow-ups directly on your page
Video resultsVideos with thumbnails, often from YouTubePublish video on the topic
Forum threadsDiscussions from Reddit and other communitiesTake part genuinely — see Reddit SEO
Rich resultsResults with extra detail from structured data, such as ratings or pricesValid schema markup that matches the page
AdsPaid results above and below the organic listPay; they push organic results down

Local packs, knowledge panels, top stories and shopping results join them depending on the query, and the mix shifts over time. Check the live page for the queries you care about rather than assuming what’s on it.

How have AI Overviews changed the SERP?#

AI Overviews put a generated answer above the organic results for a large share of question-style searches, so more searches end on the SERP itself: Pew found users clicked a classic result on 8% of visits with an AI summary, against 15% without one.

60%

of searches starting with a question word produced an AI summary, against 8% of one- or two-word searches

Pew Research, Jul 2025

68%

of US Google searches ended without a click in January–April 2026

SparkToro, Jun 2026

2.5B+

monthly users of AI Overviews, announced at Google I/O 2026

Google, May 2026

Longer, question-shaped searches — the kind buyers type while researching — are the ones most likely to be topped by an AI answer: Pew saw summaries on 53% of searches of ten words or more. Since May 2026 Google has also merged AI Overviews and AI Mode into one experience, placed more inline links beside the generated text, and started surfacing forum and social perspectives inside answers. The result is more zero-click searches and a lower ceiling on organic clicks.

Rankbox framework

The Four-Layer SERP Read

A ten-minute read of any results page, layer by layer, that ends in a decision: try to rank, try to get cited, or pick a narrower question. Run it before you brief a single article.

  1. 01

    Intent layer

    What type of page ranks — guide, product page, listicle, tool, forum thread? Ask: would my page look like the top three results?

  2. 02

    Answer layer

    Is there an AI Overview or featured snippet, and who does it cite? Ask: which of its sub-questions could my page answer better than the cited sources?

  3. 03

    Attention layer

    How much sits above organic result one — ads, videos, carousels, an AI answer? Ask: if I ranked third, would anyone see me without scrolling?

  4. 04

    Competition layer

    Who holds the top 10 — household names, niche sites, forums? Ask: is there at least one page here my site could plausibly beat?

How to use it: Mark each layer go or no-go, then pick one of three plays: rank when intent matches, there’s room above the fold and the competition is beatable; get cited when an AI answer dominates but you can answer one of its sub-questions better; or skip to a narrower question. For a young site the second play is often the realistic one, because AI citations reach well beyond the top 10.

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

How do you analyze a SERP before writing?#

Analyze a SERP by searching the query in a clean session and recording what kind of page ranks, which features sit above the organic results, which sources any AI Overview cites and whether smaller sites make the top 10 — together that tells you the format to write and whether a click is likely.

  1. Search clean. Use a logged-out or private window, set to the country your buyers are in.
  2. Name the dominant page type. Guides, product pages, listicles, tools or forum threads: that’s Google’s read of search intent, and fighting it rarely works.
  3. Count what sits above result one. Ads, an AI Overview, a featured snippet, a video carousel. Each pushes the first organic link down and lowers the click-through rate you can expect.
  4. Open the AI Overview’s sources. Note which pages it cites and which sub-questions it covers. Those are the passages to beat.
  5. Check who ranks. Small sites and forum threads in the top 10 suggest the query is winnable without a big link profile; ten household names suggest a narrower question.
  6. Read People Also Ask. Each question is a candidate section heading, or a page of its own.

SERP vs AI answer: what's the difference?#

A SERP is a ranked list of results the user chooses from; an AI answer is a written response that has already chosen a few sources and quotes them — so on a SERP you compete for a click, and in an AI answer you compete to be one of the sources.

SERPAI answer
What the user getsLinks, features and ads to choose fromA written answer with a few cited sources
Unit that competesThe pageThe passage
Query that decides itThe one the user typedThe sub-queries the engine writes
SuccessA high position and a clickA citation or a mention
Measured inSearch Console positions and clicksPrompt tracking and Search Console’s AI report

The two are connected. Almost every AI engine retrieves its candidates from a search index — Google’s for AI Overviews and Gemini, Bing plus OpenAI’s own for ChatGPT, Brave for Claude — so ranking on the results pages behind a question is how a page enters the pool an answer is written from. The AI SEO guides cover each engine’s index.

Sources

  1. 1.Visual elements gallery of Google SearchGoogle Search Central · developers.google.com
  2. 2.AI features and your websiteGoogle Search Central · developers.google.com
  3. 3.New ways to explore the web in AI Mode and AI OverviewsGoogle · blog.google
  4. 4.Search at I/O 2026Google · blog.google
  5. 5.Google users are less likely to click on links when an AI summary appearsPew Research Center · pewresearch.org
  6. 6.In 2026, less than one third of Google searches still send a clickSparkToro · sparktoro.com
  7. 7.How many AI Overview citations rank in the top 10?Ahrefs · ahrefs.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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