Link building vs AI brand mentions: What’s the difference and why do you need both?

A few years ago, off-page SEO had one job: convince Google your site was worth ranking. Build links from credible sources, earn brand mentions, climb the SERPs. If you made page one, buyers found you.

That is still true. It’s just no longer the full picture.

Buyers now also discover and shortlist tools inside AI-generated answers from platforms like ChatGPT, Gemini, Claude and Google AIO. 

And AI systems don’t just look at your site. They look across the web for independent confirmation that your brand belongs in the answer, the way a journalist verifies a claim before they publish it.

That gives off-page work a second job: AI brand mentions. The goal is to get your brand into the third-party sources AI systems already cite when buyers ask questions about your category.

Link building and AI brand mentions are two distinct strategies. They work in different ecosystems. And there are different criteria for what a good placement looks like. Neither is optional anymore.

I’ll explain how each works, why both matter and how they fit into your organic growth strategy.

TL;DR: Link building vs AI brand mentions

Here are the differences between these two off-page strategies at a glance.

Link building

As we touched on above, link building is the process of earning backlinks from other websites to your own. In practical terms, it shows Google that your site is a trustworthy source on the topics you want to rank for.

Strategically, link building tactics are designed to build topical authority and help topic clusters rank more competitively over time. It strengthens both page-level and domain-level authority, which improves your ability to compete for a broader set of related searches. 

When paired with strong content and solid technical SEO, this translates into broader organic visibility and more consistent qualified traffic. That is why link building remains a foundational part of any serious SEO strategy.

How link building drives results

The mechanism is fairly straightforward. Backlinks pass authority between websites, and search engines use those signals to assess credibility and ranking potential. 

But not all links carry the same weight. In link building, target sites are usually judged against a few key criteria, including 

➡️ Domain Rating
➡️ Topical relevance
➡️ Organic traffic 

The goal is to earn links from sites that are both trustworthy and closely related to the topics being targeted, rather than just building links at scale or chasing an arbitrary number of backlinks for the sake of it.

Each relevant link adds to the overall strength and credibility of the cluster it points to. And over time, that stronger backlink profile improves the site’s ability to rank and hold visibility in more competitive search results.

A strong backlink profile still matters in the AI search era because it improves your chances of ranking on page one. And that plays an important role in AI visibility. 

Search engines like Google Gemini and ChatGPT often draw from top-ranking results, so the stronger your organic visibility, the more likely your content is to be cited in AI-generated answers.

AI brand mentions

AI brand mentions is a new off-page strategy designed to increase your brand’s presence in AI-generated answers.

As I have explained, AI systems do not recommend brands based only on what a company says about itself. They look for third-party confirmation across the wider web. 

This helps them compare sources, check whether information is consistent and build a more complete answer to the buyer’s question.

That wider source set can include third-party editorial listicles, comparison pages, review platforms, YouTube videos, Reddit threads, community discussions and industry publications. 

If those sources repeatedly mention your competitors but leave your brand out, AI systems have less evidence to include you. And that means you are missing from the answers your buyers see when forming their shortlist.

That is where AI brand mentions come in. The goal is to identify the third-party sources AI systems already rely on for your target prompts, then earn or improve placements in those sources.

How to get AI brand mentions

Step 1: Start with real buyer prompts

First, identify the prompts you want your brand to show up for. These should reflect real evaluation-stage questions. For example, someone searching for Skale might ask ChatGPT for the “best link building agencies for SaaS brands.”

Source

A good prompt reflects how buyers compare options, check fit, assess use cases and look for recommendations before making a decision.

One of the ways teams fall short here is by thinking this is the same as keyword research. 

Instead of creating a list of keywords, rather think of it like this: “What problems is our ideal customer facing, and what would they ask ChatGPT, Claude or Gemini when deciding which solution to choose?”

If you just have a list of terms, rather than prompts, it can make your AI visibility look better than it is. 

And if your prompts do not reflect how buyers actually research solutions in your category, you will appear in less relevant answers, and that will not translate into meaningful commercial outcomes for your brand. 

Step 2:  Identify the sources shaping AI answers in your category

The next step is to test your prompts in the AI platforms your buyers are likely to use. Look at the answers and identify patterns:

• Which brands are mentioned consistently?
• Which sources (URLs or domains) are repeatedly cited or referenced?
• Which content formats appear most often, such as listicles, comparison pages, review platforms, Reddit threads, YouTube videos or industry articles?
• How is each brand being positioned or described?

This is how you reverse engineer where influence sits in your category. Don’t start with assumptions about which sources should matter. Look at what AI systems actually pull into answers, then map the sources and formats that shape brand inclusion.

At Skale, we use internal tools to monitor which sources matter across tracked prompts. If YouTube is a major citation source for your category, we build strategy around YouTube creator placements. If Reddit threads play a meaningful role, we focus there.

If a source type barely appears in your category’s AI answers, it does not make sense to spend time on it, regardless of how much GEO “thought leaders” are talking about it online.

Step 4: Prioritize the sources that influence inclusion

Not every placement is worth pursuing. When it comes to AI brand mentions, a source matters if it already appears in AI-generated answers for your category. 

A high-authority website may still be valuable for traditional link building, but if AI systems never use it when answering your target prompts, it may not improve AI visibility.

The priority is to get included in the sources AI systems already trust for your buyer’s questions.

One strong mention in a consistently cited comparison page is more valuable than several mentions on websites that never appear in AI answers.

Step 5:  Make sure each placement reinforces the right positioning

Getting mentioned is only part of the job. How your brand is described matters too.

If a third-party source places your brand in the wrong category, connects it to the wrong use case or describes the product inaccurately, this creates conflicting signals. 

AI systems look for consistent information across the web. Unclear or contradictory descriptions weaken confidence in your brand.

The strongest placements are accurate, relevant and useful. Your brand should appear where it genuinely belongs, with messaging that clearly reinforces:

• What category you operate in
• Who your product is for
• Which use cases you solve
• Why you are relevant to that specific buyer question

Step 6: Run targeted outreach to improve inclusion in those sources

Once you have a list of sources, it’s time to start with outreach. 

That might mean:

• Pitching an editor to add your brand to a relevant listicle
• Asking a site to update an outdated product description
• Working with a relevant YouTube creator
• Contributing helpful answers in community discussions
• Building presence in the comparison pages AI already cites

The strongest outreach angle is relevance. If a listicle is missing a use case your product solves, you should explain to a publisher how adding your brand makes the article more useful for readers. You will be improving their content, not asking for a favor.

Step 7: Keep monitoring and building presence over time

Earning AI brand mentions is not a one-off campaign. AI systems are more likely to recommend brands they keep seeing across the sources they trust, so the goal is to build consistent presence in the places that shape answers for your category.

You also need to keep monitoring your target prompts. Citation patterns change as new content gets published, competitors earn placements, existing pages are updated, and AI platforms shift which sources they rely on.

A source that matters today may become less influential in six months, while a new comparison page or Reddit thread may start appearing more often.

How AI brand mentions fits into a broader organic growth system

We see AI brand mentions  as one lever within a broader organic growth engine designed to drive SQLs, pipeline, and revenue.

That engine is built across two core layers: owned citations and third-party citations.

You control your owned channels, such as your website, your YouTube, your social media, and other on-site authority signals. 

As I have explained, third-party citations are the external signals that shape how your brand is discovered and evaluated.

Link building and AI brand mentions both operate within this “earned” layer, but they strengthen different parts of the system.

Together, owned and earned citations compound, and operate as a single system that’s aligned with how buyers now discover and evaluate solutions across both traditional and AI search engines. 

If you’re not cited, you’re not considered

AI systems have fundamentally changed search. It is no longer enough to just rank on page one. 

Discovery has shifted from a page of blue links to direct answers to specific questions. That means brands need to show up in the AI-generated answers buyers increasingly rely on to discover, compare, and evaluate their options.

And if you are not there, you may not be considered at all.

Earning AI brand mentions helps close that gap by improving your brand’s presence in the third-party sources AI systems already use when generating answers.