SERP: What Are Search Engine Results Pages?

The SERP is where search engine optimization becomes visible. Every SEO tactic, every ad, and every AI answer competes for searchers' attention on the same surface. If you want to understand how visibility in search comes about, you first have to understand the SERP: its structure, its elements, and its logic. This article explains the term, how a SERP works, and the strategic importance of the search results page, with a specific focus on the B2B market in the DACH region.

Definition: What is a SERP?

SERP stands for Search Engine Results Page. It means the page a search engine returns after you enter a search query. The term comes from English-language SEO vocabulary and has become the standard in German-speaking countries as well. The distinction matters: a SERP is the entire results page, not the individual result. A single entry is correctly called an organic result, search result, or listing. The SERP is the container that arranges these entries together with ads and other elements.

Historically, a SERP was a simple list of results, the so-called ten blue links. Today it is a complex, dynamic surface made up of organic results, paid ads, interactive boxes, and increasingly AI-generated answers. That makes the SERP the central interface between a search query and the open web.

Why the SERP is business-critical

The SERP decides your reach. Google processes an enormous volume: the company published an official figure for the first time since 2016 and stated that Google handles more than 5 trillion searches per year (global). Every one of these queries generates a SERP, and every SERP decides afresh which brand gets found.

In the DACH region, this channel is practically identical to Google. In Austria, Google holds around 82% of the search engine market, followed by Bing at around 9% (as of May 2026, all platforms). The market is also digitally mature: at the start of 2025, Austria had around 8.69 million internet users, a penetration rate of 95.3% (Austria). Visibility in Austrian search therefore means almost exclusively visibility on the Google SERP.

For B2B companies, the SERP is more than a traffic channel. It is the first touchpoint in what is often a long decision-making process. Research into vendors, solutions, and technical terms starts on the search results page. If you show up there with the right answer, you shape brand perception early and qualify leads long before anyone fills out a contact form.

How a SERP is created

A SERP is not a static document. It is assembled in real time for every query. The process follows four steps:

• Crawling: Search engines scan the web with automated programs called crawlers or bots (at Google, Googlebot). These follow links and capture the content of pages.
• Indexing: Captured pages are analyzed and added to a huge index, a searchable database of the web. Only indexed pages can rank at all.
• Ranking: After a search query, the algorithm evaluates the eligible pages against hundreds of signals (relevance, quality, user signals, freshness) and puts them in order.
• Serving: The search engine assembles the results page and delivers it. In this step it also decides which SERP features (such as a featured snippet or a local pack) to show and whether an AI answer appears.

The last step is the decisive one. Crawling, indexing, and ranking supply the building blocks, but the specific SERP a user sees only comes into being during serving. That is exactly why the same search query looks different depending on context.

Structure of the Google SERP: organic, paid, and features

A modern Google SERP consists of several layers that are easy to tell apart.

Paid ads (search engine advertising, SEA) usually appear at the top and bottom of the page. Google labels them "Sponsored," and they are served through the Google Ads auction system. If you rank here, you pay per click. The position depends on your bid and Quality Score, not on organic ranking.

Organic results are the unpaid listings. Their position is determined solely by the ranking algorithm. They are the core business of SEO. The labeling requirement keeps the two areas clearly apart: ads must be identifiable as ads; organic results are not.

In between and around them sit the SERP features, interactive or enhanced elements that go beyond the classic blue link:

• Featured snippet: A highlighted answer excerpt in the top spot (position 0) that answers a question directly.
• People Also Ask: An expandable box of related questions that broadens the search query thematically.
• Knowledge panel: An info box on the right-hand side about entities such as companies, people, or brands, fed by the Knowledge Graph.
• Local pack: A block of three local listings with a map, relevant for searches with local intent.
• Image and video carousels: Horizontal galleries of images or videos, common for visual or how-to queries.
• Sitelinks: Additional sublinks within a result, usually for brand or navigational searches.
• Rich snippets: Results enriched with structured data, for example with star ratings, prices, or FAQ accordions.

These features push the classic organic results further down. For visibility, what counts besides position is which features a SERP contains and whether your own page occupies one of them.

AI Overviews and AI search on the SERP

Generative AI is fundamentally changing the SERP. For many queries, Google shows an AI Overview, an AI-generated summary above the organic results. The share is high but volatile. According to an analysis of more than 146 million SERPs, AI Overviews appear on 20.5% of all search results pages (global, desktop, as of September 2025). Frequency varies widely by topic: from around 1.2% in the Adult category to 43.6% in Science.

The trend over time is uneven as well. An analysis of more than 10 million keywords shows: AI Overviews were triggered for 6.49% of queries in January 2025, 24.61% in July, and 15.69% in November (region not specified). The practical takeaway: AI Overviews are no longer a fringe phenomenon, but how often they are shown keeps changing as Google adjusts them.

At the same time, search is moving to standalone AI systems outside the classic SERP. According to OpenAI CEO Sam Altman, ChatGPT reached more than 800 million weekly active users in October 2025 (international). Answer engines such as ChatGPT, Perplexity, or Claude deliver answers without a classic results list and cite sources directly in the text.

This has produced a discipline of its own: Generative Engine Optimization (GEO), optimization for generative answer systems. A scientific study (KDD 2024) shows that GEO methods can increase visibility in generative answers by up to 40% (benchmark study). For B2B brands, this means the SERP remains central, but visibility increasingly has to be planned for AI answers too, both in AI Overviews and in external answer engines.

Best practices: winning SERP features and analyzing the SERP

If you want to become visible on the SERP, optimize specifically for features, not merely for position. Three levers are decisive.

First, search intent. Every SERP reflects what Google interprets as the intent behind a query: informational, commercial, transactional, or navigational. A look at the results currently ranking shows which format is wanted. Do guides, product pages, or comparisons dominate? Your content has to match this intent. Otherwise it won't rank, regardless of its quality.

Second, structured data. Schema.org markup (usually as JSON-LD) makes content machine-readable. It is the technical prerequisite for many rich snippets, such as FAQ, product, or review displays. Structured data also helps AI systems capture and cite content correctly.

Third, optimizing content for feature formats. You win featured snippets with clear, concise answers to specific questions, often in the form of short paragraphs, lists, or tables. For People Also Ask, it pays to address related questions directly in the text.

SERP analysis is a strategic tool. You can read three things from the search results page itself:

• Competitors: Which domains rank organically and run ads? This shows the real competition for a keyword, not the assumed one.
• Search intent: The formats of the top results reveal what kind of content Google expects for this query.
• Keyword difficulty: Strong brands, many SERP features, and an AI Overview signal a highly competitive SERP. Niche queries with weak competition are often the more efficient choice.

Common mistakes

• Optimizing only for position 1: When an AI Overview, a featured snippet, and several other features fill the SERP, the top spot in the organic list brings less visibility than you might expect. The whole SERP counts, not a single number.
• Ignoring search intent: A guide won't rank on a transactional SERP, and vice versa. If you disregard the format of the top results, you are optimizing for the wrong target.
• Leaving SERP features on the table: Without structured data, rich snippets, FAQ displays, and similar formats go unused, even though they can noticeably raise the click-through rate.
• Assuming one SERP for everyone: The search results page varies by location, device, language, and history. A SERP checked in Vienna can differ from the one in Berlin or on a smartphone.
• Ignoring AI search: If you optimize exclusively for the classic blue links, you overlook AI Overviews and external answer engines, which increasingly help decide how visible a brand is.
• Not analyzing the SERP: Keyword tools are no substitute for looking at the actual SERP. Competition, intent, and difficulty can only be read there.

Metrics and measurement: zero-click, CTR, and personalization

The SERP decides visibility, clicks, and increasingly their absence. A growing share of searches ends without a click on an external page because the answer is already on the SERP. According to a clickstream analysis, 59.7% of Google searches in the EU resulted in zero clicks; for every 1,000 searches, only 374 clicks go to the open web (EU, 2024). AI Overviews, featured snippets, and knowledge panels amplify this zero-click effect even further.

Where people do click, position has a massive impact on traffic. A Backlinko analysis of around four million Google search results shows: position 1 had an average organic click-through rate of 27.6% and received around ten times as many clicks as position 10 (global). The study relies on Search Console data, does not state a collection period, and does not account for AI Overviews. On SERPs with an AI Overview, the figure therefore applies only in part. The top spots draw most of the attention, and the rest of the first page shares a small portion. How the snippet is designed (title, description, visible rich elements) noticeably affects the click-through rate within a given position.

One point matters for any measurement: there is no single SERP. Search results pages are personalized and localized. They vary by:

• Location: A search in Vienna returns different local results than one in Berlin or Zurich. For the DACH region, this means checking SERPs separately for each country and city.
• Device: Mobile SERPs show features and their order differently from desktop. Since many analyses use desktop data, it pays to compare them with the mobile view.
• Language and region: The language version and country setting (for example google.at versus google.de) change the results, which matters for your hreflang strategy.
• User history: Previous searches and login status can personalize results.

For measurement, this means you should collect rankings in context (location, device, language), ideally through Google Search Console for real impressions and clicks, plus rank tracking with a defined target market.

Going further: the SERP in a B2B context

For B2B companies in the DACH region, the SERP is far more than a source of clicks. It is a showcase for brand perception and an early filter in lead generation. Even without a click, an appearance in a featured snippet, a knowledge panel, or an AI Overview shapes how people see a vendor: as a competent source. Over the long B2B decision-making process, these impressions add up to trust.

The strategic consequence is dual optimization. Classic SEO secures organic positions and SERP features in Google Search. GEO extends the focus to AI Overviews and external answer engines such as ChatGPT, Perplexity, and Claude. Both draw on the same foundations: content tailored precisely to search intent, cleanly marked-up structured data, and a consistent, trustworthy brand.

Sensible next steps are a SERP analysis of your most important keywords (competition, intent, features), a review of your own Schema.org markup, and rank tracking with Austria as the target market. If you understand the SERP as a whole and not just the position of a single page, you build visibility that holds up in classic search and in the new AI search alike.