Digiday Research: Marketers Adapt GEO Strategies Amid AI Search Traffic Drops
I’ve watched search evolve for years, but Digiday’s latest research makes one thing clear: marketers aren’t preparing for an AI-first search environment anymore. They’re already working in one.
As tools like ChatGPT, Gemini, Claude and Perplexity change how people find information, traditional search behavior keeps shifting toward zero-click experiences. Instead of visiting websites, users often get what they need from AI-generated summaries. For marketers, that means the old playbook built around rankings and traffic is losing ground.
Search Traffic Is Falling, and Marketers Are Feeling It
According to Digiday’s May 2026 research, based on a survey of 142 brand and agency professionals, 37% of respondents reported declines in upper-funnel search traffic, while 21% saw lower-funnel drops. That lines up with what many marketers have already been seeing: AI search is cutting into organic visits, especially at the awareness stage.
This trend has been building for a while. Consumer research from Bain and Dynata found that 80% of users rely on AI summaries at least 40% of the time, contributing to estimated organic traffic declines of 15% to 25%. By 2025, eMarketer was already forecasting meaningful reductions in ad exposure across discovery, consideration and conversion as AI search agents became more common.
For marketers, the core question is no longer just How do I rank? It’s now How do I get cited, summarized, recommended and trusted by AI systems?
GEO and AEO Move From Experiment to Strategy
That shift is where GEO and AEO come in.
Generative Engine Optimization and Answer Engine Optimization are becoming the next phase of SEO. Instead of focusing only on blue links and click-through rates, they aim to improve a brand’s visibility inside AI-generated responses. The goal is to become part of the answer.
One of the most telling details in Digiday’s reporting is how quickly budgets are moving in the same direction. Earlier 2026 coverage showed more marketers carving out dedicated GEO budgets, with many assigning a meaningful share of search spend to these efforts. That’s a strong sign that AI search optimization is no longer a side test. It’s becoming core strategy.
The New Rules of Visibility
One of the more useful takeaways from Digiday’s reporting is that many effective GEO tactics aren’t especially futuristic. In fact, some are familiar.
Marketers are leaning into:
- FAQ-driven content
- Clear bullet points
- HTML tables
- Structured, machine-readable product and policy data
- Conversational language that matches how people ask AI tools questions
Jen Cornwell of Tinuiti put it well in Digiday’s coverage: many of the best practices look a lot like SEO fundamentals brands used years ago. The difference is that content now has to work for human readers, search crawlers and large language models looking for clean, trustworthy, extractable information.
That makes content architecture just as important as content quality. If your site is hard for AI systems to parse, summarize or cite, your authority may never turn into visibility.
Attribution Is Still the Biggest Headache
If there’s one area where marketers are still frustrated, it’s measurement.
AI search platforms offer limited visibility into how and why brands appear in responses. We can often see the effects indirectly—fewer clicks, occasional referral spikes, stronger conversion from AI-driven visitors—but the path from exposure to action is still hard to trace.
That lack of attribution is forcing teams to rethink what success looks like. Instead of relying only on sessions and rankings, marketers are starting to track:
- AI citations
- Brand mentions in generated responses
- Share of voice across AI platforms
- Grounding and source visibility
- Conversion quality from AI-referred users
That matters because AI traffic, while smaller in volume, may be more qualified. Some publishers and platforms are already reporting that AI-driven visitors convert at significantly higher rates than traditional referral traffic. So even if volume drops, the value of each visit may increase.
Earned Media and Social Signals Are Becoming More Important
Another major takeaway from Digiday’s research is that AI systems appear to draw heavily from earned media, trusted editorial content and socially validated discussion.
That has real implications for modern marketing strategy. If LLMs are, as Cornwell suggested, “eating a diet of earned media,” then PR, thought leadership, community conversation and organic social content may matter far more for discoverability than many performance teams once assumed.
Reddit stands out because of the authority and depth of its discussion archive. YouTube is also becoming more influential as AI systems cite video content and transcripts more often. In practice, that means visibility in AI search may depend not only on what lives on your site, but on the broader digital ecosystem around your brand.
Authority is becoming distributed.
Smart Brands Are Rebuilding for AI Readability
Some of the strongest responses to this shift are coming from brands that are reworking their digital foundations.
Digiday points to examples like Suave and Target, where teams are investing in machine-readable product data, clearer site structures and AI-friendly content environments. That approach makes sense. Rather than chasing gimmicks, these brands are treating AI discoverability as an infrastructure issue.
The brands most likely to succeed in this next phase are the ones that:
- Strengthen technical clarity
- Organize content for extraction and citation
- Expand authority beyond owned media
- Measure influence, not just clicks
- Stay flexible as platforms evolve
That’s a stronger long-term strategy than relying on hacks or flooding the web with low-quality AI-generated pages.
The GEO Tool Boom Comes With Caution
As demand rises, vendors are moving fast. A growing number of GEO and AEO tools now promise monitoring, optimization and visibility insights across AI search platforms. Some are useful, especially for spotting mentions and citation patterns. But marketers are right to stay cautious.
The main problem is inconsistency. Different AI platforms behave differently, return different answers and cite different sources. Without more transparency from the platforms themselves, no tool can offer a complete or perfectly reliable picture of performance.
That doesn’t make these tools useless. It just means marketers need to balance experimentation with realism. For now, the smartest approach is to pair foundational content improvements with strong analytics discipline and selective use of emerging tools.
Where This Is Headed Next
Digiday’s research captures a real inflection point. Search is moving from an ecosystem defined by rankings and traffic to one shaped by recommendations, summaries and machine-mediated trust.
SEO isn’t disappearing, but it is being folded into something broader. GEO and AEO are quickly becoming essential disciplines for brands that want to stay visible in an AI-first discovery environment. As analytics platforms roll out better dashboards for AI citations and referrals, and as marketers improve their ability to measure authority across these systems, this space will mature quickly.
For now, the brands with the clearest advantage will be the ones willing to adapt early, clean up their content structures and rethink what visibility really means.
FAQ
What is GEO in marketing?
GEO, or Generative Engine Optimization, focuses on helping brands appear in AI-generated search responses rather than only in traditional search rankings.
How is AEO different from SEO?
AEO, or Answer Engine Optimization, is designed to help content surface in direct answers from AI tools and search engines. Traditional SEO is more focused on rankings, clicks and website traffic.
Why is organic search traffic dropping?
More users are getting answers directly from AI summaries and zero-click search features, which reduces the need to click through to websites.
What should marketers measure in AI search?
Useful metrics include AI citations, brand mentions, share of voice across platforms, source visibility and conversion quality from AI-referred traffic.
Conclusion
The drop in traditional search traffic is real, but it’s not the end of discoverability. It’s a redefinition of it. Marketers that shift from chasing clicks alone to earning AI visibility, citations and trust will be in a much stronger position for what comes next. For teams looking to navigate that transition with more clarity and confidence, AIuthority is a smart place to start.