AI Surges, Google Slips, and How to Stay Visible

The latest numbers are in and it looks like there’s no stopping the generative AI future. The use of large language models (LLMs) in every day, average Joe behavior continues to grow by leaps and bounds as usage of traditional search engines like Google have dipped slightly.

Don’t get it twisted: search will be part of daily life for the foreseeable future and this channel is still the single greatest driver of targeted traffic on the web. As marketers and business people, though, we need to recognize winds of change when they’re blowing and hedging our bets a little is never a bad idea. As AI continues to disrupt digital marketing, it’s in our best interest to adapt to the times.

 The Shift Is Real: AI Adoption Surges as Google Search Trails Off

A recent Higher Visibility survey of 1,500 U.S. users reveals a clear inflection point in how people search online. From February to August 2025, several key trends emerged:

• Google’s share of general information searches fell from 73% to 66.9%.
• ChatGPT’s usage nearly tripled, rising from 4.1% to 12.5%.
• Daily AI-tool use doubled, increasing from 14% to 29%.
• Meanwhile, the proportion of people who “never” use AI tools dropped from 28% to 16%.
• Notably, even in local search, an area where Google traditionally held strong, AI usage doubled to 10%.

Beyond the U.S., SimilarWeb data underscores how dominant ChatGPT has become in AI-powered search. As of early mid-2025, ChatGPT commanded around 80% of AI search traffic, while traditional engines like Google, Bing, and others held diminishing slices. Traditional search engines showed year-over-year declines: Google at –2%, Bing at –18%, and others also shrinking.

Supporting this behavioral shift, the Wall Street Journal report notes that by June 2025, AI-powered tools such as ChatGPT and Perplexity had captured 5.6% of U.S. desktop search traffic, more than double the share from a year earlier. Although conventional players still control around 94.4%, the rapid rise of LLM-based tools is clearly changing the game.

Why This Matters for Brands & SEOs

To folks like us whose livelihoods depend on driving traffic to websites, this is a major development. The manner in which people discover products and services has a lot to do with revenue for us and our clients. If you’re into digital marketing – or if your business depends on the web – consider the following:

• The decline in Google’s share of everyday search isn’t just statistical; it signals a disruption in how audiences seek answers.
• AI tools are no longer niche; daily usage is now common.
• “Zero-click” behaviors are rising. AI tools often deliver direct answers, bypassing traditional search result pages.

In effect, SEO strategies that focus solely on Google risk losing reach. This evolving landscape demands broader visibility across both search engines and AI-driven platforms.

LLM Conversations vs. Organic Search : Do They Deliver?

While the traffic and usage growth for LLMs is an exciting development, marketers will tend to have one big question: does the traffic convert as well as organic search does? The answer, as it turns out, isn’t a simple yes or no.

No Significant Gap, Scale Is the Real Issue

A recent study by Amsive, covering six months of GA4 data across 54 websites, found organic traffic converted at 4.6% versus 4.87% for LLM referrals. While LLMs appear to edge out slightly, statistical testing revealed that the difference isn’t significant. Conversion efficiency isn’t the real story: scale is. LLM traffic made up less than 1% of sessions, whereas organic search accounted for about 32%.

This begs the question of whether LLM traffic will continue to convert at that percentage as it grows or if we’ll see diminishing returns. Also, 1% versus 32% is a huge gap, showing that while the two channels convert at a similar clip, you’ll simply do a lot more business with organic search over LLM traffic – at least for now.

Engagement Levels are Roughly the Same

Another study by SALT.agency reported that in most industries, organic search outperforms LLM referrals in engagement. For example, in e-commerce, Key Event Conversion Rate (KECVR) was higher at 24.12% (organic) compared to 17.14% (LLM). However, LLM traffic showed relative strength in sectors like health, careers, and catalog websites.

Some Brands See Brighter LLM Spots

Amsive also found strong variability across sites. About 56% saw LLM traffic convert better than their average, while 41% saw it underperform. This inconsistency suggests that performance may depend more on how AI tools surface content than on any inherent advantage in LLM-driven traffic.

Tiny Share, Potentially Meaningful Impact
Other insights paint a nuanced picture. Knotch’s analysis revealed that LLM referral traffic accounted for just 0.13% of visits, yet delivered 0.28% of conversions. That’s more than double its traffic share. While small in volume, LLM-driven traffic can still deliver a strong impact especially for brands that manage to capture attention within AI-generated results.

So what does this all mean for businesses who are dependent on organic search? Let’s break it down:

1. Organic search remains the workhorse. it drives volume, consistent conversions, and reliable engagement.
2. LLM traffic isn’t a conversion powerhouse justyet. Its main shortfall is scale, not efficiency.
3. But there’s opportunity in the outliers. Some brands see disproportionate conversion impact from LLM referrals.
4. Test and optimize. Track LLM-sourced traffic by source and behavior, then tailor content to serve AI-generated discovery journeys effectively.

At the end of the day, this is a developing situation and we’ll continue to observe how the chips fall. One thing is clear, though: LLMs can no longer be ignored and you’re kidding yourself if you think that your business can afford not to have a strategy for it.

Apple Joining the AI Search Fray in 2026

LLMs are so obviously essential to the future of tech that even Apple is preparing to enter the AI search space in a major way. The world’s most valuable company plans to enter this vertical with plans that could reshape how users find information across its ecosystem. The Santra Clara firm is currently developing a proprietary system called World Knowledge Answers, which is expected to launch in spring 2026 as part of a major Siri update.

Apple’s New “Answer Engine”

Unlike traditional search engines, World Knowledge Answers will deliver direct AI-generated summaries. This approach is similar to what users currently experience with platforms like ChatGPT, Perplexity, and Google’s AI Overviews. Apple’s new system will go beyond text by integrating images, videos, and location data to provide richer and more complete answers.

Powered by Google’s Gemini Model

To deliver these advanced capabilities, Apple has partnered with Google to use a custom version of the Gemini AI model. The system will include tools such as a prompt “planner” and a content “summarizer,” which will help interpret user intent and generate natural, informative responses.

Integrated Across the Apple Ecosystem

This new answer engine will not be limited to Siri. Apple plans to integrate it across other core services, including Safari and Spotlight. This multi-surface rollout means users will encounter AI-driven results in more places and more naturally, even before they think to open a browser.

What Brands Should Pay Attention To

Apple’s move changes the search landscape in ways that demand new thinking from marketers and SEOs. Here are a few key takeaways:

• Search is diversifying. Visibility will no longer rely solely on Google. Apple’s answer engine may become a primary discovery tool for iOS users.
• Content needs to be AI-ready. To appear in Apple’s summaries, your content must clearly answer user questions and include helpful context, visuals, and relevance to location when applicable.
• Optimization must go cross-platform. Brands can no longer focus exclusively on Google. Siri, Safari, and Spotlight are becoming crucial search entry points.

Apple’s upcoming launch represents more than just another competitor in the AI space. It signals a deep shift in how discovery will happen across mobile devices. With Siri and other entry points already deeply embedded in daily user behavior, this transition to AI-based answers could accelerate quickly. Brands that begin adapting now will be better positioned when this new system goes live.

How to Optimize for Traditional and AI Search Visibility

If there’s a silver lining to be found here, it’s the fact that Google and other LLM platforms have stated that the principles behind good SEO and good generative engine optimization (GEO) aren’t much different. Here’s what you’ll need to practice on your websites to stay visible for both search types:

Stick to the Fundamentals: “Good SEO Is Good GEO”

According to Google’s Search Liaison Danny Sullivan, there is no separate discipline called generative engine optimization (GEO). Instead, successful AI visibility relies on the same principles that make for strong traditional SEO. Clear, relevant, high-quality content remains the core requirement. Sullivan summed it up best: “Good SEO is good GEO.”

Don’t Panic. Refocus and Adjust

If your content already aligns with SEO best practices, you are well positioned to succeed in both traditional and AI-driven environments. The key is to refine, not replace. Focus on user intent, ensure your messaging is clear, and continue building authority in your niche.

Quick steps to reinforce your strategy:

• Provide useful, comprehensive answers to search queries.
• Structure pages with clarity and logical hierarchy.
• Avoid low-quality tactics such as keyword stuffing, cloaking, or low-effort AI-generated content.

Embrace Structured Data and Contextual Clarity

AI tools and search engines rely heavily on structured data to understand content. Implement schema markup for articles, FAQs, products, events, and more. This helps increase your visibility in both traditional search results and AI-generated summaries.

Uphold E-E-A-T Principles

Experience, Expertise, Authoritativeness, and Trustworthiness remain essential. These are the credibility signals that help AI systems decide which content to surface. Display author bios, cite reputable sources, and provide clear context for users and algorithms alike.

Prepare for Fewer Clicks and Smarter Funnels

As AI systems start providing direct answers, traditional click-through rates may decline. However, impressions may rise. The solution is to optimize content for earlier conversion — by embedding value upfront or using tools like calculators, checklists, or interactive widgets.

Expand Your Presence Beyond Google

Search is no longer confined to Google’s results page. Users are getting answers from:

• AI platforms such as ChatGPT, Gemini, and Perplexity
• Voice assistants like Siri, Alexa, and Google Assistant
• Community platforms including YouTube, Reddit, Quora, and TikTok

Build a brand presence that spans these environments. Doing so increases the likelihood of your content being surfaced in AI responses and recommended answers.

Design for a Fragmented, Multi-Device Future

Search is evolving across devices, apps, and interfaces. Some users type queries. Others speak them. Many now rely on summaries generated without even visiting a search engine. That means your content must be flexible, readable, and semantically rich — no matter how it is accessed.

The shift to generative search does not mean abandoning what works. It means sharpening your focus and applying best practices across new platforms. Brands that lean into quality, clarity, and cross-platform visibility will be the ones that stay discoverable in this new AI-driven search era.