Google’s Here to Stay: Why Relationships Still Beat AI
▼ Summary
– The debate about whether LLM optimization is separate from SEO is unproductive, as LLM inclusion is now part of SEO discovery.
– Google remains dominant in web traffic, with AI referrals still a small fraction, and Patrick Stox believes Google’s innovations will retain users.
– Attribution for LLM traffic is challenging, as mentions don’t easily translate to measurable business value, though Ahrefs saw high conversion rates from AI search.
– Effective LLM inclusion strategies include repetition of messaging across the web and differentiation through unique data and listicles.
– Human relationships, YouTube, and community engagement are crucial marketing channels, with brands needing to remain human-focused in the AI era.
Navigating the current digital landscape requires understanding that large language model (LLM) inclusion is now an integral part of search engine optimization, not a separate discipline. The debate over whether optimizing for AI is distinct from SEO misses the point; the reality is that discovery through these systems is part of the modern search journey. Focusing on how search works today reveals where genuine business value lies.
Industry expert Patrick Stox, product advisor and technical SEO at Ahrefs, brings a data-rich perspective to the conversation. He firmly believes that Google is not going anywhere and that human connections remain critically important. Despite the buzz around new AI tools, Google continues to handle the vast majority of search traffic. Recent data from Ahrefs shows Google drives roughly 40% of all website visits, while LLM referrals represent only a tiny fraction by comparison. Even Stox, after testing various AI platforms, found himself returning to Google’s ecosystem, a pattern he expects will continue as the company enhances its AI capabilities.
A significant challenge with LLM traffic is the attribution problem. While websites may notice increasing referrals from AI sources, connecting that traffic to concrete business outcomes remains difficult. Mentions and citations within AI-generated answers are measurable, but they don’t easily translate into the revenue-focused reports that executives demand. Stox notes that although Ahrefs has observed promising conversion rates from AI search traffic, the inability to definitively prove value makes it a secondary consideration for now.
When it comes to achieving visibility within LLMs, Stox highlights two effective strategies: repetition and differentiation. LLMs synthesize information from across the web, so ensuring a consistent narrative about your brand appears on multiple sites is crucial. For Ahrefs, this meant consistently communicating their evolution from an SEO toolset to a full digital marketing platform. Complementing this, creating original data and research provides a powerful point of differentiation. Unique studies, including non-English language research, receive heavy citation within AI systems precisely because that information isn’t available elsewhere. Interestingly, Stox also acknowledges that listicles are currently performing well for inclusion, even if he doubts their long-term viability.
The emergence of agentic AI presents a potential threat, particularly the risk of these systems becoming closed networks. As AI agents begin performing tasks like booking travel or making purchases, they will likely partner exclusively with major, established brands. This could sideline smaller businesses almost instantly. Stox warns that if an AI agent decides to only process payments through Amazon, countless other retailers could lose sales overnight. The only defensive strategy in this scenario is to aggressively build brand recognition and market presence.
Beyond LLM optimization, Stox emphasizes that other channels continue to deliver substantial value. YouTube remains the second largest search engine, far surpassing any new AI platform. Ahrefs has seen tremendous success by investing in both long and short-form video content. Additionally, authentic community participation on platforms like Reddit, Slack, and Discord offers significant returns. The key is genuine engagement rather than promotional spam. Stox advocates for empowering employees to represent the company authentically in these spaces, turning them into a voluntary, paid advocacy force.
If starting a new venture today, Stox would prioritize investing in relationships above all else. He considers personal connections the most powerful growth channel, capable of accelerating a startup’s trajectory faster than any other tactic. Following that, he would focus on YouTube, website content, and straightforward word-of-mouth marketing. This back-to-basics approach underscores a fundamental truth: even amidst rapid technological advancement, success ultimately depends on direct human connections. In an age of AI-driven discovery, the most resilient brands will be those that maintain their human essence.
(Source: Search Engine Journal)
