Right now, AI-driven search results are rewriting the rules of B2B marketing, and most companies aren’t keeping up.
It's not just that AI shows up in search results anymore — Search itself is turning into something closer to an assistant. Its AI Mode alone has already crossed a billion monthly users — and Google's standalone assistant, Gemini, isn’t far behind, nearing a billion monthly users of its own.
Estimates vary, but most trackers now put AI Overviews appearing on somewhere between a fifth and half of all Google searches — a dramatic jump from a small fraction of queries just two years ago. Yet too many sales and marketing teams are still clinging to SEO strategies built for a search engine that doesn't really exist anymore.
Here’s the problem: Your prospects expect instant, precise answers — and increasingly, an AI agent handing them one directly. If your content isn’t showing up (or being trusted) in AI-powered search, you’re losing deals before they even begin. Slow response times, irrelevant content and clunky user experiences aren’t just inconvenient. They’re invisible to the systems your buyers now rely on, which is costing you money.
In this article, we’ll break down:
- Exactly how SEO has changed in 2026 — including Search's shift toward agents
- What AI-driven search means for your content strategy
- How to ensure your brand stays visible, relevant and competitive in an AI-first search landscape
Let’s get started.
Key takeaways
- AI-first search is redefining visibility. Traditional keyword-based SEO is no longer enough. Google and AI assistants now prioritize contextual relevance, trust signals and content depth over surface-level optimization.
- B2B buyers expect instant, authoritative answers. If your content isn’t optimized for AI-powered search environments, you risk losing buyers before they ever land on your site.
- Search is becoming agentic, not just generative. Google's newest updates go beyond summarizing results — Search can now monitor topics, take actions and personalize results using a user's own connected data. Being findable isn't enough anymore; you need to be trusted enough for an AI agent to act on.
- Multimedia, freshness and entity-level authority now drive rankings. Google’s updates favor brands with verified identity, original insights, strong UX and multi-format content that speaks directly to real buyer questions.
The shift to AI-driven search results
One of the biggest shifts in recent years in terms of digital marketing has been toward AI. While guidelines for using AI in marketing differ from company to company, in general we saw that first, businesses were told not to use AI to create content. Then, we were told that using AI as a helpful tool to create content was okay. Of course, that’s as long as the content was helpful.
Now, it seems we’re somewhere in the middle.
How AI-powered search tools are changing user behavior
After all, tools like ChatGPT, Google’s AI Overviews and Bing Copilot all help users see their content creation process in new ways. Having a massive amount of information on the internet at your fingertips is hard to resist.
You may use ChatGPT to help you outline a critical whitepaper. Maybe you use Google’s AI Overviews to help your staff visualize data on a spreadsheet. You might even use Bing Copilot to help you browse the web for relevant information.
AI-generated answers tailor user experiences and generate insights users may not otherwise get. They also help users navigate to the spaces they want to in minutes.
They no longer have to click on a million sites to find the answers they’re looking for.
You might also like: How to audit your brand’s AI visibility in 30 minutes.
Clickthrough rates are falling
Recent analyses show that clickthrough rates (CTRs) often drop on queries that trigger AI overviews.
For example, a 2026 Ahrefs study of informational queries found that AI overviews themselves reduce clicks on the top result by about 58 per cent — up from 34.5 per cent just a year earlier.
In some ways, that’s a good thing.
Maybe you just need a quick answer to the question “how tall is Pedro Pascal?” You don’t want to have to click on every site that comes up, only to find a bunch of websites that don’t actually have the answers.
Many users are looking for long-form content like articles that they can read to fully understand a topic. In this case, the companies that best optimize their pages for AI-driven search results will have the greatest success.
Users aren’t limited to short keyword strings anymore. Now, they can ask full questions in natural language. That means brands should shift from obsessing over exact-match keywords to focusing on topic coverage, long-tail phrasing and question-based queries.
Keyword stuffing is actively harmful.
As Michelle Tansey, founder of Red Queen Marketing, notes, recent Google updates have doubled down on banishing low-quality content to the depths of search results, especially generic AI-generated pages that don’t add anything new. The real shift is toward surfacing content that is both relevant and original — the kind of page that clearly answers the user’s question and brings unique insight to the table.
Thin, generic articles are steadily losing visibility, while in-depth content backed by original research and clear expertise is more likely to be rewarded.
How recent algorithm changes are reshaping SEO
Of course, we have to pay close attention to Google’s algorithm updates lest we get left behind. By now, businesses in the digital content space know the principles behind Google’s Helpful Content system — even though it's no longer a standalone update. Google folded it directly into its core ranking algorithm back in 2024, meaning it's now a continuous, real-time signal rather than something that only shows up periodically. The big takeaways remain the same: Google doesn’t want to see keyword stuffing, AI-written content that doesn’t address the query or webpages that are difficult to read and navigate.
In 2026, the algorithmic terrain of Google is evolving fast. Many of the fundamentals remain. But the emphasis and tactics have shifted considerably.
Google updates
Recent Google updates are more of the same. Tansey tells us that the recent Google updates largely continued its trajectory, which is a crackdown on poor-quality content, especially AI-generated content that doesn’t add anything new.
Critical ranking factors
Where we once had to rely on acronyms like E-E-A-T and struggled to stuff all the keywords possible into an article, Google is now looking at more qualitative factors.
- Quality: This factor is up there among the most important. Your content has to be well-written, accurate and insightful.
- Relevance: This one seems the most obvious. The article had better be relevant to the keywords and the search or you’ll likely be penalized.
- Strong User Experience: Do you have clear headings? Visuals? Video? Graphs? Is the webpage fast and sharp? Your users need to enjoy the experience or they’ll leave — and Google will see your high bounce rate.
- Authoritative Backlinks: This factor goes to authority. Backlinks from reputable sites lend credibility to your own website and increase your ranking potential.
- Optimized Keyword Usage: Of course, you still need to use keywords. But they should be relevant, long-tail and combine well with other relevant keywords. They should also show up in headings and your title to make it obvious your article is covering the relevant topic.
What we know about search in 2026
- Google’s ranking systems now combine traditional signals like keywords and backlinks with a stronger emphasis on entities, identity and trust signals. A recent industry write-up notes that you need to prove who you are through topic-focused content, clear authorship and verified connections in tools like Search Console, GA4 and Google Business Profile.
- We’re moving toward a world where AI-driven discovery (via AI assistants, voice, image or multimedia search) is reshaping what “ranking” means: “Discovery has fractured far beyond the ten blue links…. SEO is becoming a holistic, multi-platform marketing discipline,” according to key findings from Search Engine Journal’s SEO Trends 2026 report.
- Google and other search systems are increasing the weight of user experience, media variety and freshness. Interactive/multimedia content, real-time indexing and mobile/UX signals now matter more than ever.
- Content that merely repeats or superficially covers a topic is being de-emphasized. Instead, firsthand experience, original research or data, and human perspective are winning.
- Technical and verification factors are creeping into ranking consideration. For example, consistent business identity, structured data/schema, verification within Google tools and internal linking structure help demonstrate authority and trust.
You might also like: The key partnerships terms to know in 2026.
Search is becoming agentic
Turns out AI-generated summaries were just the opening act.
At Google I/O in May 2026, Google announced what it's calling “a new era for AI search” — and this time, it's not just about summarizing results. It's about agents.
Here's what changed: Google now defaults everyone globally to its newest AI model inside AI Mode — and usage is more than doubling every quarter. The search box itself got Google's biggest redesign in over 25 years, now accepting text, images, files, video and even Chrome tabs as input, and trying to anticipate what you're actually asking instead of waiting for the perfect keyword.
But here's the part that should really get B2B marketers' attention: Google introduced search agents. These can run in the background 24/7, scanning sources to monitor a topic and ping you when something changes, or go take action on your behalf — booking a service, comparing options — based on criteria you hand it once. Google's also expanding Personal Intelligence, so Search can pull from your own connected accounts (Gmail, Google Photos, soon Calendar) to personalize what you see.
What does this mean for your content strategy? Getting found isn't the finish line anymore.
If Search is increasingly acting on someone's behalf — synthesizing, monitoring and even completing transactions — then ranking well isn't enough. You need to be the brand an AI agent trusts enough to cite, recommend and act on, sometimes without a human ever seeing your actual page. That's the whole premise behind answer engine optimization (AEO): building content and structured data that AI systems can understand and trust, not just crawl.
See also: How to use agentic workflows in partnerships in 2026.
B2B content strategies for SEO success
So, what can B2B sales and marketing teams do to ensure they’re ranking well? How can you make sure you’re engaging customers in the modern, AI-driven algorithm?
Choose the right content format
Pay attention to your content formats and aim for a mix of formats that customers like to see.
- Short-form content is great for quickly answering a question, providing insight or offering quick tips.
- Long-form content is perfect for comprehensive guides and coverage of general topics. These can often be broken down into short-form content across multiple channels.
- Readers also love FAQs and key takeaways sections for getting right to the point and deciding if they want to read further.
Structure content for visibility
FAQs and key takeaways are helpful when it comes to properly structuring your content. This type of section also goes toward creating a great user experience.
Users want easy-to-digest information. Break up paragraphs, offer bold print and include lots of visuals. Also, make sure your headers speak to the content beneath them.
Using keywords vs. natural language
Finally, create the right balance between keywords and natural language. AI is smart enough now to find what users are looking for using natural language. It’s also helpful to include keywords that users are actually typing into the search bar.
As Paul DeMott, Chief Technology Officer at Helium SEO, says, “Content should contain the language that allows any AI tool involved with the SEO to immediately understand it, as AI is all about frequency and understanding.”
If you want a clearer read on how your content is actually performing in AI search today, tools built specifically for this are starting to emerge — PartnerStack’s free AI Visibility Assessment, for example, benchmarks where your brand currently stands in AI-generated answers before you start making changes.
See more: AEO for partnerships: how to shift your content strategy to rank in LLMs.
Future SEO predictions and next steps for B2B marketers
So, what’s next?
Given how fast Search itself is changing — from AI summaries to full-on search agents — it's tempting to think you need an entirely new playbook. You don't, exactly. But you do need to take the fundamentals more seriously than ever. As long as you're creating quality, helpful content that genuinely serves your reader, meeting the needs of the algorithm — and increasingly, the agent — is achievable. It just requires more intention than it used to.
The goal of Google’s AI is to help users get the information they need quickly and accurately.
It’s your job to help Google’s AI do that.
As DeMott reminds us, “AI-driven content analysis is getting sophisticated. Search engines are now able to assess the quality and originality of content more effectively. I'm seeing a decline in rankings for sites that rely on spun content or thin content.”
In short, the number one most important step B2B sales and marketing teams can take is to produce relevant content, across channels, that is well-written and speaks to customer needs.
We’ll leave you readers with this final nugget of wisdom from Tansey:
“Look at auditing your existing content and ensure it answers the questions the user is asking. With your content strategy, you want to start aligning your content with real buyer questions and pain points rather than optimizing for keywords. Where possible, try to answer the question upfront and then go into more depth within the article.
“For example, if I'm doing a piece of content for the ‘best software for X,’ I'll try to include a summary of my opinion and a few top picks at the start, and a ‘read on for more information.’ This tends to perform well compared to other reviews, where they make you read a lot of information before providing an answer.”
To win, make sure your content matches your target audience’s search and create readily available content that’s easy to navigate.
FAQs
How is SEO in 2026 different from previous years?
SEO in 2026 focuses far more on entities, trust, and content authenticity than pure keyword usage. Search is increasingly AI-driven. This means Google and AI assistants now reward original research, multimedia content and clear expertise over traditional keyword-stuffed articles.
Should B2B brands still optimize for keywords in an AI-first search world?
Yes…but differently. Keywords now support context rather than drive rankings on their own. Long-tail phrasing, natural language and question-based keywords help AI systems understand your content. But quality and relevance matter far more.
Which content formats perform best in AI-powered search?
Comprehensive long-form guides, FAQs, comparison pages, thought-leadership content and multimedia assets (such as video, charts and data visualizations) tend to rank better and get pulled more frequently by AI assistants and AI Overview-style summaries.
How can B2B partnerships teams prepare for future algorithm changes?
Focus on building authoritative, trustworthy content ecosystems.
Here’s how:
- Publish original insights and firsthand knowledge
- Strengthen your structured data and internal linking
- Refresh outdated content regularly
- Prioritize user experience, clarity and fast load times
- Align your content with real buyer questions and partnerships use cases
What does Google's shift toward search agents mean for B2B content?
Visibility alone isn't enough anymore. As Search agents start monitoring topics, comparing options and even completing actions on a user's behalf, brands need content and structured data that AI systems can trust enough to cite and act on — not just content that ranks well in traditional results.
This article was first published in March 2025.
