What Are SERP Features?

A SERP feature is any element on the results page that is not a standard organic listing or a text ad. SERP features are extra components found on a search engine results page that introduce new content beyond the usual text describing a web link. Instead of just displaying metadata related to a URL, these elements enhance the user experience, according to Semrush.

Quick Answer: SERP features are the non-standard elements that appear on a search engine results page alongside (or instead of) the traditional 10 blue links, including featured snippets, AI Overviews, People Also Ask boxes, local packs, and image carousels. They change how search results look, which listings get clicked, and how much organic traffic even reaches a website. For SaaS teams, SERP features determine whether ranking well actually translates into pipeline, or whether Google answers the query before a prospect ever reaches your site.

SERP features are the reason a modern search results page rarely looks like a plain list of links anymore. As of 2026, Google displays 37 distinct SERP features in the US, including AI Overviews, AI Mode, People Also Ask, Featured Snippets, Things to Know, Shopping carousels, Local Pack, Video carousels, Top Stories, and Merchant Listings, according to Growbydata. Together, these features occupy 60-80% of above-the-fold real estate on most commercial queries. For a term like "best SaaS CRM" or "what is a SERP," the features Google decides to show shape almost entirely what a buyer actually sees on the page, not just which sites rank in positions 1 through 10.

What Counts as a SERP Feature?

The most common types SaaS marketers run into include:

Featured snippets: A summarised answer to the user's search query that appears at the top of the search results and is therefore referred to as "position 0," according to Red Ant Solutions.
AI Overviews: AI-generated summaries that sit above organic results and pull from multiple sources. Semrush Sensor data from March 2026 shows that AI Overviews appear in more than 30% of searches.
People Also Ask (PAA): Expandable question-and-answer blocks related to the original query.
Local packs: Map-based results shown for location-specific or "near me" style searches.
Image and video carousels: Rows of visual content, often pulled from YouTube or other media sites.
Knowledge panels and knowledge graphs: Entity-based information boxes, often sourced from structured data or Wikipedia-style sources.
Rich results (rich snippets): Organic listings enhanced with star ratings, prices, or FAQ dropdowns using structured data.

Genuinely feature-free results pages are now rare. It's extremely rare to find a set of Google results without any SERP features, and according to Semrush Sensor data from March 2026, only 1.16% of Google's first page results are without SERP features of any kind. If your target keyword shows a plain list of 10 links, that's the exception, not the rule.

Why Do SERP Features Matter for SaaS Marketing Teams?

For a SaaS company, SERP features decide how much of a search results page your content can realistically occupy, and how much attention competitors, review sites, or Google itself absorb before a prospect ever scrolls to an organic listing. A keyword with high search volume but three SERP features stacked above the fold is worth far less than a keyword with a similar volume and a clean results page.

This matters most at the exact moments SaaS buyers are closest to a decision. Someone searching "[product] vs [competitor]" or "[product] pricing" isn't casually browsing. If that query triggers a PAA box, a comparison-focused AI Overview, and a review carousel, your comparison page is competing for a shrinking slice of visible space, not just for rank position. Teams using Seedling to plan content typically check which SERP features are already live on a target keyword before drafting, because that single check changes whether the right format is a comparison table, an FAQ section, or a straightforward explainer built to win a featured snippet.

How Do SERP Features Affect Click-Through Rate?

This is where most content on the topic gets it wrong. The common assumption is that SERP features are purely upside: more visual real estate, more clicks. The data tells a more complicated story.

Rich results do tend to outperform plain listings. Rich results get 58% of clicks, while non-rich results have a CTR of 41%, according to Structured Data UK. Featured snippets show a similar pattern for the page that wins them: owning the featured snippet on an informational query lifts CTR to around 35%, versus 23.3% for the #1 organic result when a snippet is present, according to Cloro.

But that upside only applies to the one URL that owns the feature. Everyone else on the page loses out, and AI Overviews are the clearest example. Ranking #1 organically while losing the AI Overview cuts CTR roughly in half on average, and as much as 79% on the worst-affected queries, per Authoritas' research. Independent tracking backs this up over a longer time frame: for the same position and keyword type, CTR fell from 0.073 to 0.016 over two years, according to SEOJuice, as AI Overviews became more common.

Zero-click behavior compounds this further. According to Semrush's 2025 zero-click study, 58.5% of US searches and 59.7% of EU searches conclude entirely within Google's search results page. For a SaaS team tracking rankings without tracking SERP features, this creates a dangerous blind spot: rankings can hold steady while actual traffic quietly drops, because the click never happened in the first place.

How Can You Optimize Content for SERP Features?

Winning a SERP feature requires matching content structure to the feature type, not just targeting the keyword harder.

Check what's already live. Search the target keyword in an incognito window and list every feature present before writing anything. This tells you what format Google currently rewards for that query.
Structure for snippets. Answer the target query directly in the first 40-60 words under a heading that mirrors the query, and match the format (paragraph, list, or table) already winning the snippet.
Build for PAA. Add clear, question-formatted subheadings with concise, direct answers immediately underneath. FAQ schema increases the odds of inclusion.
Use structured data. Rich snippets, ratings, and product details depend on schema markup. Without it, even strong content is ineligible for many features.
Prioritize by commercial intent. Not every feature is worth chasing. A keyword buried under four SERP features and heavy ad load may deliver diminishing returns even at position 1, so weigh the visible organic space against the effort required to win it.

A Common Misconception: Ranking #1 Still Means Winning the Click

The biggest misunderstanding around SERP features is treating rank position as a proxy for traffic. That relationship has weakened significantly. A page can hold the top organic spot and still lose the majority of its potential clicks to an AI Overview, a PAA stack, or a knowledge panel sitting above it.

The practical implication for SaaS teams is that SERP feature tracking needs to sit next to rank tracking, not behind it. Before committing content resources to a keyword, check which features already dominate that page, estimate how much visible space is left for an organic listing, and decide whether the investment matches the real opportunity, not the one implied by search volume alone. Seedling's approach to keyword research builds this check into the planning stage, basing content decisions on what a buyer actually sees on the page, not on what the SERP looked like before AI Overviews and rich results became the default.