GEO

Is link building still worth it now that AI search has arrived?

Why links remain the raw material ChatGPT, Perplexity and Gemini use to decide who to trust.

By SEOfy Team · · 4 min read

Dotted map of Latin America with violet threads converging on a central node surrounded by rings, like an AI answer. Title: Link building in the age of AI.

With the explosive arrival of answers generated by Artificial Intelligence (such as ChatGPT, Perplexity or Google's AI summaries), an existential doubt arose among brands, journalists and content creators: does it still make sense to get links if people now ask a chatbot instead of clicking on ten blue links?

The short answer is a resounding yes, but the "why" and the "how" have changed.

Link building did not die, but it evolved. Links no longer serve only for a user to click on a web page; they are now the raw material that shows AI models who can be trusted.

How traditional search engines vs. AI read the world

To understand why links are still indispensable, you have to see the difference between how a traditional search works and how an AI answers.

  • The traditional search engine: It works like an index or a library. You search for a phrase and Google shows you a list of web pages ordered by relevance and authority. Links were the main criterion to decide which page to put higher.
  • The AI search engine: It works as a contextual synthesis. Instead of giving you ten options to read, it analyzes thousands of sources in seconds, extracts the most precise data, writes a single answer and mentions or cites the sources it was based on.

Here comes the crucial point: where does the AI get the information to know what is true and what is not? From sites that already have reputation, authority and consistency on the web. And the way language models measure that reputation is still closely tied to the mentions and links those sites receive on the internet.

In this new stage where SEO and GEO (optimization for generative AI engines) coexist, links fulfill three essential functions:

1. Verification of facts and entities

Artificial intelligences suffer from something called "hallucinations" (making up data with great confidence). To avoid this, developers configure AIs to prioritize information backed by trusted networks. If many prestigious sites link to your website as the original source of a fact, a study or a service, the AI takes you as a reference entity.

2. Citation and referral traffic

When you ask an AI to recommend the best services in a field or explain a complex topic, advanced models usually place small numbers or buttons with the original sources. If your site is linked in the places where the AI learns and validates data, your brand appears cited in the generated answer. That click from the citation is today one of the most qualified traffic sources that exist.

3. The consensus of the Web (What others say about you)

The AI does not care much about what you say about yourself on your own website. You can write "we are the number one company in the market", but the AI will track what others say about you. Contextual links in media, specialized blogs and industry portals are the digital fingerprints that confirm to the AI that your brand really carries weight in the real world.

An example to understand it well: The expert's recommendation

Imagine you ask an AI: "What are the best hiking destinations in South America and what equipment do I need?".

  • What the AI does behind the scenes: It does not make up the trails. It crawls the web looking for pages that talk about hiking.
  • The authority filter: It finds 500 personal blogs and 3 mountain-specialized portals that have hundreds of links from travel magazines, national parks and adventure brands.
  • The result: The AI synthesizes the answer based on those 3 specialized portals and places a citation to their articles.

If those portals did not have a solid network of links backing their authority, the AI would simply not have trusted their information to build the answer.

The "empty" link, created on a hidden forum or on a farm site just to manipulate an algorithm, is today completely useless (both for Google and for AI).

What moves the needle today is the link with context and brand intent:

  • Mentions in relevant media: Press releases or articles where your brand or your spokespeople are cited as experts.
  • Original studies and research: If you publish original data, surveys or analyses of your sector, other sites will link to you as a source. AI loves primary data sources.
  • Co-occurrence and context: That the link is surrounded by keywords relevant to your niche. If they link to you next to concepts like "security", "quality" or "specialists in X", the AI associates your brand with those attributes.

In conclusion

Link building not only has not lost relevance, it has become more sophisticated. It stopped being a mere technical trick to rank a keyword in a list of links and became a digital PR and brand reputation strategy.

If you want the AI to talk about you, recommend your products or cite you as an undisputed source when a user looks for an answer, you need the rest of the web to keep linking to you and validating who you are.

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