The Future of SEO and Link Building in the AI Era

How Has Search Changed?

Google still holds its position as the dominant player in the search market, but users are increasingly turning to AI-powered generative systems and social media to look for information. The numbers speak for themselves:

• In June 2025, ChatGPT ranked among the world’s five most visited websites, recording about 5.4 billion monthly visits (Search Engine Land).
• The chatbot now processes over 2.5 billion queries (prompts) every single day, with around 330 million coming from the U.S.; adding up to more than 912 billion yearly interactions (The Verge).
• According to Sam Altman, OpenAI’s systems are already being used by roughly 10% of the global population (Forbes).
• 31% of consumers rely on social media to find answers online, and 1 in 4 users aged 18–54 now prefer social search over traditional search engines (HubSpot).
• As many as 30% of internet users worldwide aged 16–64 use voice assistants every week (Backlinko).

In this landscape, the traditional definition of SEO – ranking on Google for specific keywords  – has become insufficient. To stay competitive, SEO specialists need to adapt their strategies to the new realities of search.

A New Definition of SEO

Industry voices are now pointing to a new definition of SEO: Search Everywhere Optimization. This means managing brand visibility and trust across multiple channels—including AI-generated answers, social platforms, media mentions, and user reviews.

It’s no longer viable to rely solely on the volatile traffic coming from Google. Other platforms and ecosystems are steadily gaining traction—TikTok, Instagram, Amazon, Reddit, and of course, chatbots. Moreover, AI-SERPs are also increasingly citing YouTube shorts, videos, and playlists, such as product demos and tutorials.

That’s why diversifying traffic sources isn’t just recommended—it’s essential. The future of SEO lies in channel-specific optimization strategies, tailored to the unique ways users make decisions on each platform.

How AI Is Transforming SEO

AI’s role in search is rapidly expanding. The share of zero-click queries with generative summaries is growing, which in turn shortens the decision-making funnel. At the forefront is GEO (Generative Engine Optimization)—the practice of optimizing content and brand signals so that language models can easily identify, trust, and cite them in their answers.

Google continues to enhance its search capabilities. A prime example is the innovative AI Mode, which transforms the traditional search engine into an intelligent assistant capable of independently analyzing complex queries, retrieving information, and executing tasks (Google). This marks a shift from optimizing for results to optimizing for conversations. And this is only the beginning—more automation and advanced tools are on the horizon.

Interestingly, most companies still lack a strategy for AI answer visibility. A study presented at SMX Advanced revealed that only 22% of marketers currently track brand visibility within LLMs or measure the traffic they generate; 53% are in the early testing phase, while the rest aren’t engaging in any activities in this area (Search Engine Land). This gives early adopters a significant competitive edge worth seizing.

That doesn’t mean traditional Google search is going away. Users still rely on SERPs to look for products and company websites. The future of the industry belongs to those who can seamlessly combine traditional SEO with AI-focused optimization.

Source: WhitePress®

Content That’s AI-Ready

We are witnessing a fundamental shift in how content is created. The importance of rigid “exact match” keywords is gradually declining; what matters more is a deep understanding of what users truly want and why. Google has emphasized that AI Overviews prioritizes pages meeting strong E-E-A-T standards and featuring clear content structures, since it’s easier to extract key facts from such sources (Google).

Brands must therefore craft content in a way that ensures AI selects them as a trusted reference. This means writing simultaneously for humans and algorithms—using a conversational tone, concise and relevant messaging focused on quality, clear heading structures, FAQ sections, TL;DR summaries, and well-cited data sources. A “citation-friendly” format is set to become the norm.

Link Building Reimagined

Despite long-standing claims that links are losing significance, reality shows otherwise. At the Search Central Live APAC 2025 conference, Google explicitly confirmed that link building remains a crucial ranking signal. However, the methods of acquiring links are undergoing major transformation.

AI is reshaping the daily work of link builders—more than half of tasks such as domain research or prospect qualification are already automated. Tools like BacklinkGPT, Semrush, or Ahrefs Brand Radar can scan hundreds of sites in minutes, while AI generates personalized outreach drafts. This frees up specialists to focus on what truly matters: strategy, creative campaigns, and relationship building. According to research by Omniscient Digital, as many as 70% of link builders now use AI every day.

Digital PR is taking center stage, as link building becomes increasingly intertwined with brand positioning and relationship management. Campaigns built around unique assets—such as reports, studies, or interactive tools—naturally attract links and media mentions. These assets fuel not only Google’s algorithms but also AI models, which tend to cite authoritative data and reliable sources. Looking ahead, link building may blur into PR efforts altogether—a shift that is already underway. The goal will no longer be limited to rankings and acquiring valuable dofollow links, but to strengthening overall brand presence in audience awareness.

What Else Is Changing?

• New Specializations – Success may hinge on niche expertise, such as prompt engineering for SEO or LLM Optimization.
• Monetization of AI Overviews – Google is expanding ad placements within this format, introducing sponsored links and product ads. While sources are currently selected algorithmically, future monetization models may emerge—for instance, the option to purchase “trusted source” status.
• Rising User Acquisition Costs – Click and lead prices continue to climb, while organic traffic declines due to AI Overviews, making every session more valuable. To maintain profitability, the focus will increasingly shift to conversion rate optimization (CRO), retention, and building owned channels.
• New Technical Standards – Beyond classic structured data and NLP-driven content optimization, new files like llms.txt and access controls for LLM crawlers (e.g., GPTBot, Google-Extended) are entering SEO practice. Though not yet official standards, they are becoming part of modern content and visibility management.

SEO isn’t dying—it’s evolving. While the exact future is uncertain, one trend is clear: the winners will be those who measure and build visibility where decisions are being made—inside AI-generated answers.