Google, LLMs, and the Rise of “Dark Traffic”

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Soon Yujian
Yujian is the Chief SEO Content Strategist and writer in the marketing department of ITechstudio. With a Bachelor’s degree in English from Nanyang Technological University, he gathers insights about the industry and turns them into bite-sized news. He enjoys researching SEO strategies across diverse fields and leveraging on data-driven analysis to uncover trends.
Google, LLMs, and the Rise of “Dark Traffic”

For nearly two decades, digital discovery followed a predictable path:

User → Google search → website click → conversion

However, the structure of online discovery is now changing rapidly. The emergence of large language models (LLMs), social discovery platforms, and off-site content ecosystems has created a fragmented traffic environment where many conversions happen without traditional search clicks at all.

Today, brands must understand three major traffic sources shaping the modern discovery ecosystem:

  1. Traditional search engines

  2. AI-driven recommendation systems (LLMs)

  3. Off-site “dark traffic” channels such as Reddit, forums, and private communities

Understanding these channels is essential for businesses adapting to the next stage of digital marketing.

 

Traditional Search Traffic 

Traditional traffic sources

Despite emerging competitors, traditional search engines remain the largest discovery platform.

Google continues to handle the majority of global search queries and remains the primary source of organic web traffic for most industries.

Traditional SEO relies on several core signals such as content relevance, authority signals, technical seo and user behaviour.

For most websites today, Google organic traffic still contributes between 50%–70% of total discovery traffic, depending on industry.

However, this dominance is beginning to erode as new discovery platforms emerge.

 

AI Recommendation Traffic (LLMs)

LLMS
LLMS

The next major traffic source comes from AI-driven recommendation systems (shown in the image above).

Instead of providing a list of links, these systems deliver direct answers and curated recommendations.

The AI may generate a short list of recommended providers. This is where the concept of Generative Engine Optimization (GEO) begins to emerge.

Instead of ranking pages, businesses must ensure their brand entities are recognized and recommended by AI systems.

Learn more about GEO and how these systems work in this article on: 

Generative Engine Optimisation: Reverse Prompting and Embedding

 

The Rise of “Dark Traffic”

Dark traffic platforms
Dark traffic platforms

A third major discovery channel is often overlooked: dark traffic.

Dark traffic refers to visits that originate from sources that do not pass clear referral data, making them difficult to track.

One of the most influential platforms contributing to this traffic is Reddit, which frequently appears in both Google search results and AI-generated answers.

These community discussions often influence purchasing decisions more strongly than official marketing content.

Why Reddit and Forums (Dark Traffic) Influence AI Search

AI models frequently rely on community discussions as part of their training and retrieval signals.

Platforms like Reddit contain things that AI cannot replicate such as authentic user experiences, comparisons between products or services and long-form discussions of pros and cons. Because of the irreplaceable “human” nature of the content, this makes them valuable sources for AI-generated recommendations.

This means that branding and reputation matters today as much as it did in the past!

 

Off-Site Signals: The Hidden Ranking Factors

Modern discovery ecosystems rely heavily on off-site signals.

These signals include:

Off-Site SignalExample
Community mentionsReddit discussions
Social media referencesTwitter/X conversations
Independent reviewsBlogs, forums
YouTube commentaryProduct reviews
Third-party articlesIndustry publications

These signals influence both:

  1. Search Engine Ranking
    2. AI LLM recommendations

As a result, brand visibility is increasingly determined outside the company’s own website.

 

The New Traffic Mix

Digital traffic is gradually shifting toward a multi-platform discovery model.

Below is a rough estimate based on current industry observations and marketing data trends.

Traffic SourceEstimated Share of DiscoveryEstimated Share of Conversions
Google organic search50–65%45–60%
AI / LLM discovery5–10%10–20%
Dark traffic (Reddit, forums, messaging)15–30%20–35%
Social media platforms5–15%5–10%


One surprising insight is that
LLM-driven traffic often converts at a higher rate, because the user has already received a recommendation before visiting the website. Similarly, dark traffic conversions tend to be strong because they often originate from trusted peer discussions.

 

Why Measuring This Traffic Is Difficult

Traditional analytics tools struggle to capture these new discovery paths.

Measurement ChallengeExplanation
Lost referral dataMessaging apps strip tracking information
AI answers without clicksRecommendations may happen without website visits
Multi-step discoveryUsers move between platforms before converting
Private communitiesMany discussions happen behind login walls

 

Implications for Businesses

The shift toward AI discovery and off-site influence means companies must expand their digital strategy beyond traditional SEO.

Modern search visibility now depends on three pillars:

    1. On Site Optimisation. The standard practise of technical seo and content
    2. AI Discovery Optimisation. The enhanced form of SEO through tracking LLM Recommendations
  • Off Site Authority. A marketing-like enhancement for community reputation and discussions that may or may not be influenced by the brand owner.  

With these pillars, businesses that focus only on website optimization may miss a portion of potential customers. 

 

Is This Still SEO? Or a Fusion of SEO and Marketing?

A natural question many businesses ask when encountering these shifts is whether this still falls under SEO, or whether it has evolved into something broader.

Traditionally, SEO focused on technical optimization and content ranking within search engines. The primary goal was to improve visibility on platforms like Google by optimising webpages for crawlability, keywords, and backlinks.

However, the modern discovery ecosystem now extends beyond search engine result pages. AI systems such as ChatGPT and Perplexity AI often generate answers using information gathered from across the internet including the above-mentioned lists of forums, independent reviews, community discussions, and third-party publications.

At the same time, platforms like Reddit or industry communities influence purchasing decisions long before a user visits a company’s website.

As a result, digital visibility increasingly depends on a fusion of SEO and broader marketing signals.

Traditional SEO

Emerging Discovery Strategy

Optimise webpages

Optimise brand presence across the web

Improve rankings

Improve recommendation probability

Keyword targeting

Entity and topic authority

Backlinks

Multi-platform credibility signals

In other words, modern search visibility is no longer determined solely by a website’s optimization. It is shaped by how the broader internet perceives a brand through community discussion, independent commentary, and contextual relevance across platforms.

This does not mean SEO is disappearing. Instead, it is expanding into a hybrid discipline that blends technical search optimisation with reputation management, content marketing, and platform strategy.

For businesses navigating this new environment, success will likely come from understanding that search visibility is no longer just about ranking pages, it is about shaping how a brand is represented and recommended across the entire digital ecosystem.

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