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Search engine results pages, or SERPs, are the pages Google and other search engines display in response to a user query. A modern SERP is no longer just a list of ten blue links. It’s a dynamic interface that can include organic results, paid ads, featured snippets, AI Overviews, People Also Ask boxes, knowledge panels, local packs, videos, images, and shopping results, all arranged according to what Google believes best matches search intent.
How SERPs Have Evolved
For much of Google’s history, SERPs followed a relatively predictable structure: ten organic links, a handful of ads at the top, and occasionally a map pack for local searches. SEO largely meant ranking within those ten results.
That’s no longer the environment brands operate in.
Starting in the early 2010s, Google introduced more SERP features that gradually pushed traditional organic listings further down the page. Featured snippets, knowledge panels, People Also Ask boxes, video carousels, and local packs all began competing for visibility. By 2020, the average SERP looked fundamentally different from the one users saw in 2005.
Then AI Overviews arrived. Beginning in 2024, Google started generating AI-written summaries at the top of many SERPs, pulling information from multiple sources and presenting it directly within the results page. By 2026, AI Overviews appear across a large percentage of informational searches, and in some cases traditional organic listings are pushed below the fold entirely.
This represents one of the biggest structural shifts SERPs have undergone in the past decade, and it’s a major reason SEO and content strategy look very different today than they did only a few years ago.
Key SERP Features You Need to Know
A single query can now surface a wide range of SERP feature types, each behaving differently from a visibility and marketing perspective. Here’s what marketers are actually looking at on a modern results page.
Organic Results
The traditional ranked list of web pages Google believes best answer the query. Organic listings remain the foundation of SEO, but they now compete for attention alongside multiple other SERP features.
Paid Results (Google Ads)
Sponsored listings that appear at the top and bottom of the page. Advertisers bid for these placements and typically pay on a per-click basis. On highly commercial queries, paid ads can occupy nearly the entire visible area above the fold.
Featured Snippets
Boxed answers pulled directly from a webpage and displayed above the standard organic listings. Featured snippets were once considered one of the most valuable positions in SEO because they combined visibility with authority. AI Overviews have reduced their prominence on many queries, but they still matter for factual, instructional, and definition-based searches.
People Also Ask
Expandable question boxes that surface related searches connected to the original query. Clicking a question reveals a short answer along with a source link.
People Also Ask boxes are especially valuable for content strategy because they expose the adjacent questions and informational paths real users are actively exploring.
Knowledge Panels
Information cards that appear on the right side of the SERP on desktop, or near the top of the page on mobile, for entities Google recognizes such as companies, people, places, or products.
Knowledge panels pull information from Google’s Knowledge Graph as well as structured data and authoritative sources across the web.
Local Pack
A map accompanied by three local business listings, typically shown for queries with local intent such as “coffee near me” or “SEO agency Toronto.”
Ranking in the local pack operates differently from traditional organic SEO and requires its own set of optimization practices around proximity, reviews, business profiles, and local relevance.
Video Results
A carousel of video thumbnails, often pulled from YouTube, that appears for queries where Google expects video content to be especially useful.
Video results commonly surface for how-to searches, product reviews, tutorials, demonstrations, and entertainment-related queries.
AI Overviews
Google’s AI-generated summary that appears at the top of many search results pages. AI Overviews synthesize information from multiple sources and link back to them, but in many cases the summary answers the query without requiring a click.
This is the SERP feature reshaping SEO most aggressively right now. For some informational queries, being cited within an AI Overview can matter more than ranking first organically.
Foundation explores this shift in more detail in its guide to generative engine optimization.
Image Packs, Shopping Results, and More
Image carousels typically appear for visually driven queries, while shopping results surface for product-related searches and include pricing, reviews, and retailer information.
Depending on the query, Google may also display tweets, news boxes, recipe cards, event listings, and other specialized features. The structure of the SERP is always shaped by what Google predicts the user is most likely looking for next.
Why SERPs Matter for B2B Marketers
If you manage SEO or content for a B2B brand, the SERP is effectively the competitive landscape. You can’t build strategy from keyword rankings alone because many queries no longer present ten meaningful organic positions.
SERPs reveal things keyword data alone can’t:
- Real search intent. If Google fills a SERP with product pages, it likely interprets the query as commercial. If the page is dominated by how-to articles and explainers, the query is probably informational. Your content needs to align with the intent Google is rewarding, not just the keyword itself.
- Actual click-through potential. A number-one ranking sitting beneath an AI Overview and multiple paid ads may drive only a fraction of the traffic that same ranking would generate on a cleaner SERP. CTR models based on generic averages become unreliable if you’re not evaluating the actual search results page.
- Competitors you didn’t know you had. The real competition on a SERP is often different from the companies your sales team thinks about. For a given keyword, you may be competing against Reddit threads, YouTube videos, glossary pages, review sites, or niche publications. Those are the properties you actually need to outperform to win visibility.
For teams building an SEO program, SERP analysis should be the starting point of strategy, not the final validation step..
The SEO Failure Mode in 2026 Is a #1 Ranking That No Longer Brings Traffic
One of the most difficult conversations we have with new clients is about ranking first and still losing traffic. They show us a keyword they’ve held in the number-one position for years and ask why performance is declining. The dashboard says they’re winning. The traffic says otherwise. In many cases, both are technically true.
What’s changed is the structure of the SERP itself.
The ranking may still exist, but the page now includes an AI Overview, an expanded People Also Ask section, featured snippets, and paid placements before the user ever reaches the first organic result. On desktop, the top organic listing may sit below the fold. On mobile, it can take multiple scrolls to reach it. The ranking hasn’t moved. The visibility around it has.
This is likely to become one of the defining failure modes of the next few years for B2B content programs that continue operating on outdated SEO assumptions. Teams will keep optimizing for rankings, hit their ranking goals, and still watch traffic decline because the metric they’re prioritizing is no longer tightly connected to the outcome they care about.
The solution isn’t necessarily a brand-new tactic. It’s a recalibration of what success looks like.
Rankings still matter, but they increasingly need to be paired with visibility metrics that reflect the actual structure of modern SERPs. That includes things like AI Overview citations, SERP feature ownership, and brand visibility inside AI-generated answers.
Without those signals, a content program can appear healthy by the old scorecard while quietly losing ground in practice.
How to Analyze SERPs for Your Keywords
SERP analysis sounds more technical than it really is. In practice, it’s mostly the discipline of looking carefully at what Google is actually rewarding for a query.
Here’s a practical process you can run for any target keyword.
- Search the keyword in the right environment. Use an incognito window and search from the region you care about. If the query has geographic sensitivity, use a VPN or localized search settings to approximate the real experience.
- Capture the full SERP. Screenshot or document the entire results page, not just the top section. Scroll all the way down and note every SERP feature that appears.
- Count the true organic positions. If the page includes an AI Overview, paid ads, a featured snippet, and a People Also Ask section before the first organic listing, then the effective “top of SERP” is much lower than a simple ranking report suggests.
- Evaluate the AI Overview. If an AI Overview appears, read it carefully. Pay attention to which sources Google cites. Those are the pages your content needs to compete with if you want visibility inside AI-generated answers.
- Analyze the winning formats. Review the top organic results and identify the dominant formats. Are they long-form guides, listicles, videos, landing pages, or comparison posts? Google’s ranking patterns usually reveal the format it considers most useful for that query.
- Mine the People Also Ask section. PAA questions are often direct indicators of related user intent. They can become standalone content ideas or useful subsections within a larger page.
- Map the real competitors. Some competitors will be commercial rivals. Others may be publishers, Reddit threads, YouTube videos, glossary pages, or niche communities. All of them compete for visibility on the SERP and need to be considered.
- Decide whether the SERP is realistically winnable. Not every SERP is worth pursuing. In some cases, the competition level or SERP structure makes the opportunity inefficient relative to the resources required. Recognizing that early allows teams to redirect effort toward less crowded, higher-leverage queries.
Struggling to stay visible as SERPs shift toward AI-generated answers? See how Foundation approaches generative engine optimization for B2B brands.
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