Link building is not dead. That declaration has been made prematurely so many times that it has become a cliche. But it is changing, and the change is more significant than most SEO professionals are acknowledging. In the AI search era, the relationship between links, authority, and citation is being renegotiated.
Traditional backlinks still matter for Google organic rankings, which still matter for traffic. But generative AI systems that generate answers and recommendations use a different set of signals to decide which sources to trust. Understanding the difference between what drives Google organic rankings and what drives AI citations is now essential for allocating your link-building and content investment correctly.
This guide covers what traditional link building still achieves, what AI visibility requires instead or in addition, and how to build a unified authority strategy that serves both the classic SEO and the AI recommendation channel simultaneously.
What traditional backlinks still do for you
Backlinks remain the primary authority signal for Google's organic ranking algorithm. A page with strong backlink profiles from authoritative domains ranks better in Google organic search. Google organic search still drives the majority of website traffic for most businesses, even as AI search grows. Abandoning link building entirely to focus only on AI visibility signals would be a mistake for any business that depends on organic search traffic.
Furthermore, some traditional link building tactics directly serve AI visibility too. Editorial mentions in authoritative publications that link to your site also generate the kind of contextual, authoritative citation that AI systems use to build entity trust. A feature in a major industry trade publication that includes a backlink does not just help your Google ranking; it also contributes to the external mention landscape that AI training corpora absorb. The value is dual.
What traditional backlinks do not do well for AI visibility is build the specific kind of entity recognition that AI systems rely on for recommendation decisions. A thousand directory links from low-authority sites build domain authority metrics but contribute little to the entity graph that AI systems use to decide whether your brand is a credible recommendation for a specific query. The quantity-focused, tactical link acquisition approach that worked for Google rankings up to 2022 produces diminishing returns in the AI visibility context. The key shift is from link building as a volume game to link building as an authority and entity game.
Digital PR as the convergence strategy
Digital PR has emerged as the most effective unified strategy for building both traditional link authority and AI mention authority simultaneously. A well-executed digital PR campaign that places an expert commentary or data story in a major industry publication earns a high-authority backlink for Google, generates an editorial mention that feeds into AI training corpora, builds the named expert's entity as a credible source, and creates a piece of reference content that other publications and content creators may cite in turn.
The key is that digital PR content must be genuinely newsworthy or genuinely useful to the publication's audience. The publications that provide the most AI mention value are also the most discriminating in what they accept. Regurgitating survey data that is already widely known, publishing opinion pieces with no original angle, or submitting press releases disguised as editorial pitches are approaches that fail at the quality gate before they can generate any value.
Effective digital PR for AI visibility requires building a reputation as a genuine expert source: being responsive when journalists need quotes, publishing original research that gives media something to report, and cultivating relationships with specific journalists covering your sector rather than spray-and-pray pitching. The brands that consistently appear in AI-generated expert recommendations are almost always the ones whose founders or executives are regularly quoted in industry media. This is not coincidence; it is the entity-building process that AI systems are recognizing when they select whom to cite. For a sector-specific perspective on how this works, see our approach for consulting firms.
Forum and community participation for AI visibility
Forums, community platforms, and discussion spaces have an outsized influence on AI visibility relative to their traditional SEO importance. Reddit is in the training data of most major AI systems and is often retrieved in real-time by Perplexity and other RAG-based systems. Quora answers are similarly indexed and retrieved. LinkedIn articles from specific authors with demonstrated expertise are incorporated into AI-generated professional recommendations.
A systematic participation strategy on these platforms builds both entity recognition and content that AI systems retrieve for specific queries. On Reddit, this means becoming a genuine contributor to subreddits in your niche, answering questions with specific expertise, and occasionally referencing your own work when it is genuinely the most useful resource for the question at hand. On Quora, it means maintaining a complete author profile and writing in-depth answers to questions in your domain, not marketing copy disguised as answers.
The long-term compounding effect of this community participation is significant. A Quora answer that comprehensively addresses a specific question about your field can be retrieved by AI systems answering similar questions for years. A Reddit comment from a recognized expert that becomes the top-voted answer to a common industry question becomes part of the de facto answer corpus that AI systems learn from. These are not quick wins; they are foundational entity-building activities that should be part of any long-term AI visibility strategy. Pair this approach with the platform-specific guidance in our Reddit and Quora AI visibility guide.