In this September 2026 panel discussion, SEO experts analyze the latest shifts in the industry driven by AI. Key topics include the rise of zero-click searches and AI agents, the growing importance of brand mentions and citations over clicks, and the evolution of E-E-A-T and technical SEO for an AI-first world.
A short editorial from the VEONIB team on why this content matters.
The panel agrees that AI has fundamentally shifted SEO's focus from earning clicks to earning citations, with brand strength becoming the new currency. The future is agentic, where AI doesn't just recommend but also takes action, making technical readiness for AI agents a top priority.
This discussion provides a multi-expert consensus that moves beyond hype, confirming that while 'zero-click' is a threat to traffic, it's an opportunity for higher conversion. For AI-driven platforms like SEONIB, this validates the need to optimize for entity recognition and structured data, ensuring content is not just readable, but referenceable.
SEO professionals and brand owners should watch this to understand the 2026 landscape and should immediately audit their brand's presence in AI citations and begin exploring MCP/UCP protocols to prepare for agentic search.
The practice of optimizing content to be cited as the primary answer by AI-powered search engines and chatbots.
A search result where the user's query is answered directly on the search results page or by an AI, without requiring a website click.
Mentions of a brand or website as a source within the response generated by a large language model.
An acronym for Experience, Expertise, Authoritativeness, and Trustworthiness, used by Google to assess content quality.
A process where an LLM searches an external index (like Google's) to ground its response in up-to-date information.
An open protocol that allows AI agents to interact with and trigger functions on websites, enabling direct actions.
A protocol that enables LLMs to directly facilitate e-commerce transactions on behalf of a user.
What is the biggest change AI has had on SEO in the last 12 months?
The biggest change is the shift in focus from clicks to brand mentions and citations. Businesses have accepted AI as a primary channel and now measure success by how often their brand is cited by LLMs, not just by website traffic.
How should SEOs deal with the rise of zero-click results?
SEOs should recognize that while informational traffic may decrease, the clicks that do come from AI-driven searches are more qualified and convert at a higher rate. The focus should shift to building a strong brand to earn citations and optimizing for the entire user journey, including AI interactions.
Is Answer Engine Optimization (AEO) a genuinely new discipline?
AEO is not entirely new; it builds on foundational SEO principles. However, it requires a new emphasis on off-page brand building, being mentioned in third-party listicles, and ensuring content is structured and written in a way that is easily digestible by LLMs, often by grounding it in real-world experience.
What are the key differences between optimizing for different LLMs like ChatGPT, Gemini, and Perplexity?
The main differences stem from the index each LLM pulls from, personalization features, and how they handle RAG. Strategies must be nuanced per platform, but strong fundamentals like clear content and a strong brand presence are universally important.
How much traffic is currently obtainable from AI search engines?
Traffic varies significantly by industry and LLM. There is no single percentage. The focus should be on tracking share of model, citations, and overall brand visibility across all AI platforms, rather than looking for a single traffic figure.
How does E-E-A-T help content get featured by AI instead of competitors?
E-E-A-T, particularly the 'Experience' component, helps content stand out from generic AI-generated text. Sharing firsthand experiences, case studies, and unique insights provides the original, human perspective that LLMs are designed to seek out and cite.
What are the most important technical SEO elements for AI visibility?
The most important technical elements are the same as foundational SEO: ensuring content is easily crawlable and indexable (e.g., via markdown files), and having a strong internal linking structure. This helps AI agents understand entity relationships and discover content easily.
Where do AI tools fall short, requiring human input?
AI tools fall short in providing original context, strategic insight, and real-world experience. Humans are needed to define strategy, provide unique data, make final editorial decisions, and ensure content is genuinely useful, not just optimized for a machine.
How has the skill set for recruiting SEO professionals changed?
Recruiters are now looking for individuals who are not only problem solvers but also completely comfortable using AI tools. The key is to find people who can use AI to augment their intelligence and build solutions, rather than using it as an 'easy button' to replace their own thinking.
What will be the biggest change AI will have on SEO in the coming 12 months?
The biggest change will be the growth of agentic AI, moving from AI recommending products to AI autonomously making purchases and taking actions on behalf of users. This will require websites to be prepared for direct AI interaction via protocols like MCP and UCP.