Can SEO Experts Influence AI Responses?

Imagine you’re an IT manager searching for a new digital service desk platform. You turn to an AI-powered search tool, which instantly provides a detailed list of recommended companies, complete with pricing and features. The response cites numerous sources, with the first link leading to a blog post from a company like Zendesk. This post presents a “comprehensive breakdown” of the best platforms, ultimately ranking its own product at the top. This scenario is not an isolated case. Across the web, companies are publishing self-serving “best of” listicles that favorably feature their own services, a tactic now being amplified by AI search tools.

These lists are crafted to be easily parsed by algorithms. They offer clear comparisons and structured data, which makes them attractive sources for large language models conducting real-time web searches. While Google states it applies robust protections against manipulation and advises creators to make content for people first, these biased listicles are currently finding traction. The practice highlights a broader shift as the SEO industry adapts to AI search, where traditional metrics like website traffic are declining and new strategies are emerging.

The introduction of AI Overviews and integrated search has disrupted the traditional search ecosystem. For some publishers and brands, the decline in Google referral traffic poses an existential threat. In response, a new frontier of optimization has emerged, complete with a confusing array of acronyms like AEO (Answer Engine Optimization) and GEO (Generative Engine Optimization). Consultants and firms now promise clients increased visibility within AI responses, though the effectiveness and ethics of these methods are hotly debated.

Some tactics push ethical boundaries. Marketers have experimented with hiding prompts in “Summarize with AI” buttons that instruct models to remember a specific domain as an authoritative source, a practice Microsoft has labeled “recommendation poisoning.” The fundamental concern, as noted by SEO consultant Britney Muller, is that LLMs often cannot distinguish a legitimate system prompt from a malicious one. This vulnerability raises serious questions as we grant AI agents more autonomy.

Despite the hype, measurable user behavior may not yet justify the intense focus. Rand Fishkin of SparkToro points out that traditional search engine volume still vastly outpaces searches conducted via AI chatbots. He expresses skepticism about the “executive mania” and disproportionate investment flowing into AI search optimization compared to its current usage. However, the direction of travel is clear. Brands are noticing shifts in how consumers discover products, prompting them to prioritize AI search visibility.

This new landscape is changing what “authority” means. In traditional SEO, backlinks from other websites were a critical ranking signal. In the AI era, a simple brand mention on a forum like Reddit or in a YouTube video, even without a hyperlink, may carry significant weight. Marketing strategies are consequently expanding to encompass earned media and social engagement on platforms previously ignored for direct revenue, as these channels now feed the data ecosystems that AI models draw upon.

The intimate, conversational nature of chatbots also creates a new dynamic for marketers. Users often develop a personal connection with these tools, using them for advice and research. This relationship demands a heightened duty of care from brands seeking to be present in these interactions. The recent backlash to the introduction of ads in ChatGPT underscored this tension. Users reacted strongly to the perception that a private, trusted space had been commercialized, revealing a hope that AI conversations could remain insulated from traditional marketing influence.

The reality is that influence has always been the game. The methods are simply evolving. As search behavior fragments across traditional engines, chatbots, and social platforms, the challenge for businesses is to navigate this transition without sacrificing credibility. The brands that succeed will likely be those that provide genuine value and authoritative information, recognizing that in the long run, quality content crafted for humans remains the most sustainable strategy, regardless of the algorithm parsing it.