The search for organisms has been greatly disrupted. Here’s what to do about it.

If your organic traffic is low but impressions are high, AI is likely to cite your content without sending a click. If both are down, you are ignored. Either way, the search engine your marketing strategy is built on has changed, and waiting for traffic to bounce back is not a strategy.

This is the reality you face in 2026. According to KEO Marketing:

• 73% of B2B websites saw a significant loss of traffic between 2024 and 2025, with an average year-over-year decline of 34%.
• The impact is unevenly distributed. If your content is primarily informational, you may be most affected, as some sectors have seen organic traffic drop 15% to 64% since the introduction of the AI ​​Overview.
• News publishers were particularly exposed, with Google referrals down 33% globally in the 12 months ending November 2025.

This is no ordinary exchange. They represent a structural change in the way people find information online, disrupting business models built on website traffic at the core.

What causes changes in the availability of organisms?

Organic clicks are declining for two overlapping reasons. You need to understand both because each requires a different answer:

• Google has established zero click behavior for years by using embedded captions and information panels. These SERP features answer questions directly on the results page, so you don’t need to click to get an answer. Ten years ago, about 25% of searches ended without a click. Today, it is more than 65%. The generalization of AI — now appearing in ~16% of desktop searches and ~41% of mobile searches — has dramatically accelerated this trend.
• A growing share of users is outpacing traditional search entirely. About 52% of US adults now use AI tools regularly, and about 28% of employed Americans use AI at work. When someone asks ChatGPT or another LLM a question, they usually get an answer without visiting any website. Your content may appreciate that response, but you get no traffic and no explanation.

What metrics should I consider when measuring AEO?

Traditional content marketing KPIs (impressions, clicks, CTR, times, bounce rate, and page views) no longer reflect how your product is being found. They measure behavior on your site, not how you perform on the AI ​​responses that now capture most of your traffic.

The five most important metrics for AI visibility:

• Citations in AI responses measure how often your content is cited when LLM answers a question. A citation shows three things: your content is relevant, it is structured so that LLMs can process and find it properly, and your domain has enough authority to be trusted.
• Product features are different quoted. LLMs often mention brands without citing their own content, pulling from review sites, forums, third-party articles, and competitor content. Being quoted without a quote means that the wider web is talking about you, but your content is not the source. That difference helps you decide where to invest.
• Voice sharing compares your quote and quote frequency against your competitor’s on a defined set of category-specific criteria.
• Product experience tracks whether AI responses rate you positively, neutrally, or negatively.
• Traffic influenced by AI measures how much of your traffic comes from LLM referrals. Early data suggests that this traffic converts three to five times more than other sources, making it worth tracking even at low volume.

Several tools now allow you to track these metrics at scale without informing LLMs. It’s worth checking out.

But even a simple benchmark — encouraging major LLMs with your targeted questions and tracking where and how you’re coming from — is better than no benchmarking at all.

How should I promote my content in AEO?

Successful AI search visibility doesn’t require an entirely new content playbook. But it requires abandoning processes that no longer work and doubling down on more important principles than ever before.

EEAT is always basic

Experience, Expertise, Credibility, and Trust were the top marks in Google SEO before the AI ​​revolution, and they still reign supreme in AEO. LLMs prioritize sources that demonstrate real expertise and are trusted by other authoritative sources.

If you earn citations from trusted sites, publish content written by specific subject matter experts, and cover topics with depth and clarity, you will always outperform content that doesn’t – no matter how well-developed it is in other areas.

Structure and clarity have become non-negotiable

LLMs find content by targeting roles that directly answer questions. If you structure your content with clear questions and direct answers, use concise bullet points, and avoid cluttered paragraphs, you’re more likely to get a return than if you bury the answers in narrative prose.

This means making your information architecture readable to both human students and LLM retrieval systems. Adding a Q&A section to existing content — or reorganizing posts around clear question-and-answer pairs — is one of the top updates you can make right now.

Human-written, human-led content has measurable benefits

After Google’s latest major update, AI crowdsourced content saw an 87% drop in rankings and citation frequency, with keyword-optimized content down 63%. LLMs get better at finding AI writing patterns and setting up that content.

The pressure you felt in 2025 to produce volume with AI created a quality problem that is now reflected in performance data. The strongest strategy is quality over quantity. If you use AI, use it for writing and editing—not for producing the final content. Add a review step to flag common phrases or artificial tone, whether with AI discovery tools or human editors.

The latest AI quote story

Search engines look for publication and revision dates when selecting sources. The well-designed, approved piece from 2022 can be ignored in favor of an updated version from 2025.

Check your high-traffic pages and hero assets for outdated content, and refresh them with current data and examples. It’s a quick win that many teams have missed.

Harsh language will not be quoted

If your content reads like a promotion — leading with product claims and brand-forward language — search engines will often shun you in favor of more objective sources.

That doesn’t mean you can’t mention your brand or product. It means you have to write about it the way a third person would: acknowledge the trade-offs, provide context, and let the facts reveal the truth. Listicles essays and comparisons work very well here.

AI systems respond to systematic, meaningful comparisons—even when one option is clearly favored.

Besides my channels, what content works well on AEO?

One clear pattern in how LLMs decide which brands to mention: they look for consistency across multiple sources, not just your content. If you only appear on your blog, you will lose a brand with few owned assets but strong third-party coverage.

That makes your external content ecosystem even more important. Reviews on G2, Capterra, Google, and similar platforms are often used in AI training. User-generated content on Reddit and other platforms is highly featured. Third-party articles, tutorials, YouTube videos, and newsletters all create a multi-source consensus that gets you cited in AI responses.

Content partnerships require focused attention. When you sponsor articles or newsletter entries with related publications, you do two things: drive referral traffic without searching and gain trusted external citations that improve AI visibility. Newspaper readership is growing as audiences seek curated, human-written content. YouTube citations are very powerful and expanding, and ChatGPT shows the written preferences of citations from authorized video creators.

The goal is not to make mention. It’s about telling a consistent story about your brand to credible external sources so that LLMs encounter that story over and over again. Consistency across partners, review platforms, and third-party content includes your AI voice sharing.

How do I create landing pages that convert traffic better?

With organic traffic down 30% or more, visitors to your site are more important and more targeted than in years past. That makes improving conversions on key landing pages even more important.

The goal is simple: one offer, one message, one small copy.

Each landing page should have one call to action and one argument. If you have multiple conversion goals, create multiple landing pages – not one page that tries to do everything.

Your headline should capture the full value proposition. Supporting points should be short. The visitor must understand the offer and act without scrolling.

This is the difference in blog content and thought leadership, which should be elaborated, well-researched, and organized in order to obtain an LLM. Both serve different purposes and require different standards. Conversion-oriented landing pages are not the place for nuance or extended prose.

The takeaway

A drop in traffic is not a temporary setback that will fix itself. Users are getting answers from AI instead of clicking on websites, and that behavior will increase. A content strategy built on a click-only platform is no longer enough.

The replacement is a dual mandate: prepare for citation search engines and build an external brand presence that gives LLMs a reason to mention it regularly. These principles are consistent with what you should have been doing all along — publishing clear, authoritative, and well-organized content based on real information.

The brands that will win in AI-driven discovery are the ones that do the basics well: building real credibility, finding credible external mentions, and writing to readers instead of algorithms.

That was always the right way. AI search just makes it mandatory.

Written by Tim Burke and Lauren Yanez