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If You’ve Been Investing in SEO, You’re on the Right Track With GEO: An AMA With Lily Ray

01/22/26
Source: moz (en-US). Read the original article

TL;DR Summary of SEO Strategies for Navigating AI Search Changes in 2026

2025 brought major shifts with AI search reducing organic traffic and altering SERPs significantly. Success in 2026 requires adapting SEO tactics to focus on quality, engagement, and conversion rather than volume. Human-led content supplemented by AI tools remains safest, while brand visibility across forums and social channels is increasingly important. Tracking AI-driven traffic demands new metrics and tools to stay competitive in evolving search landscapes.

Optimixed’s Overview: Essential Insights and Strategies for SEO Success Amid AI-Driven Search Evolution

Understanding the 2025 SEO Landscape Shift

The year 2025 was marked by significant upheaval in SEO due to the rise of AI-powered search features, such as AI Mode and AI Overviews. These technologies have changed user behavior by keeping users engaged within platforms, which has led to a decline in traditional organic traffic and click-through rates. Businesses that depend on traffic-based revenue models face challenges, prompting a need to diversify marketing channels and rethink content strategies.

Adapting Content Creation in an AI-Influenced Environment

  • Human-led content remains crucial: While Google does not penalize AI-generated content per se, quality risks increase when relying solely on automated production. Editorial oversight and incorporating original insights ensure content stands out.
  • Strategic content focus: Shift from producing large volumes of top-funnel content to creating fewer, highly engaging pieces that also convert visitors.
  • Engagement in online communities: Forums such as Reddit and Quora are gaining SERP prominence; brands should engage authentically in these spaces to manage reputation and gather insights.

Measuring AI Visibility and Success

Conventional SEO metrics are insufficient to capture the nuances of AI-driven search traffic. Marketers should:

  • Set up Large Language Model (LLM) referrers in analytics tools like GA4 to monitor traffic from AI sources.
  • Use self-attributed data collection through forms and CRM systems to understand AI influence on user intent.
  • Invest in AI visibility tracking tools to analyze share of voice, citations, and competitive presence.

Balancing AI Content Access and Content Protection

Blocking AI crawlers may protect original content but risks invisibility in AI-powered search results, creating a dilemma especially for niches like travel and food blogging. Since many crawlers ignore such blocks, many content creators opt to remain accessible to maintain visibility.

SEO and Generative Engine Optimization (GEO) — Overlap and Opportunities

GEO largely overlaps with traditional SEO practices, emphasizing original, authoritative content and trusted author credentials. Brands already investing in solid SEO and brand building are well-positioned for AI search success. However, focusing efforts on digital PR, social media, and multi-platform visibility is increasingly critical.

Industry-Specific Impacts and Strategic Responses

  • Publishers and media: These sectors experience the most disruption due to reliance on upper-funnel traffic. Diversification through employee personal branding and presence on platforms like LinkedIn, Threads, and X can offset organic search declines.
  • Social and shareable content: Creating content tailored for social engagement helps regain visibility even as traditional clicks drop.

Outlook on Search Competition and Future Trends

Despite antitrust rulings, Google’s dominance is expected to continue, bolstered by innovations like Gemini. AI tools complement rather than replace traditional search. Marketers should be cautious of overhyped “secret” AI ranking tactics, focusing instead on proven SEO fundamentals. Watch for upcoming Google updates targeting spam and manipulative AI content to maintain long-term trust and rankings.

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