February 7, 20265 min read

AI Mentions Are the New Backlinks. Here's Why.

Backlinks drove SEO authority. AI mentions are driving GEO authority. The parallel is striking, and the implications are massive for how you build visibility.

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Key Takeaways

  • AI mentions function like backlinks did for SEO: third-party signals of trust that determine your visibility on ChatGPT, Perplexity, Gemini, Claude, and Grok.
  • Key AI mention signals include review platform presence, editorial coverage, community mentions (Reddit, forums), and content that others reference.
  • Unlike backlinks, AI mentions are harder to manipulate, which benefits legitimate businesses with genuine reviews and clear positioning.
  • AI mentions compound over time. Starting now, even imperfectly, builds a meaningful advantage over competitors who wait.

In 2005, if you wanted to rank on Google, you needed backlinks. Other websites had to point to yours. Each link was a vote of confidence, a signal that your content was worth referencing. The more quality links you had, the higher you ranked.

In 2026, if you want AI to recommend you, you need AI mentions. AI platforms need to encounter your brand in the right contexts, enough times, from enough credible sources, to confidently recommend you when someone asks.

The mechanism is different. The principle is identical. Third-party signals of trust determine your visibility.

The backlink parallel

Think about why backlinks worked for SEO.

Google needed a way to determine which pages deserved to rank highest. It couldn't just trust what a website said about itself (everyone claims to be the best). Instead, it looked at what other websites said. A link from a reputable site to your page was an endorsement. Accumulate enough endorsements, and you'd outrank competitors.

The quality of the linking site mattered. A link from The New York Times was worth more than a link from a random blog. Relevance mattered too. A link from an industry-specific publication in your niche was more valuable than one from an unrelated site.

AI recommendations work on strikingly similar logic.

ChatGPT, Perplexity, Gemini, and other AI platforms need to determine which brands to recommend for specific queries. They can't just trust what a business says about itself. Instead, they evaluate what the broader web says. Reviews, editorial mentions, comparison articles, community discussions, and independent analyses all contribute to the AI's understanding of whether a business is credible and recommendable.

The quality of the mention source matters. Being featured in a respected industry publication carries more weight than being mentioned in a low-authority blog. Relevance matters too. A mention in a context directly related to your niche is more powerful than a passing reference on an unrelated site.

The parallels are hard to ignore.

What counts as an AI mention

An "AI mention" is any instance where an AI platform references or recommends your brand in response to a user query. But those mentions don't appear from nowhere. They're built from specific types of signals.

Review platform presence. When your business has genuine reviews on G2, Trustpilot, Capterra, or industry-specific review sites, AI systems treat these as credibility indicators. The volume and sentiment of reviews influence how confidently the AI recommends you.

Editorial coverage. Articles in industry publications, features in "best of" lists, and mentions in comparison content all feed into the AI's knowledge. This is the closest equivalent to a high-quality backlink. One feature in a respected publication can meaningfully impact your AI visibility.

Community mentions. Discussions on Reddit, industry forums, Quora, and other community platforms contribute to the AI's understanding of your reputation. When real users recommend your product in genuine conversations, AI takes note.

Content that others reference. If you publish research, frameworks, or tools that other content creators cite, those citations build your authority in AI systems. This is almost exactly like earning backlinks, except the benefit extends beyond Google to every AI platform that encounters those citations.

Consistent web presence. Your own website, social profiles, and directory listings create the foundational data that AI uses to understand what you do. This is more like on-page SEO than off-page, but it's a necessary foundation.

Why this shift matters

The shift from backlinks to AI mentions has significant implications for how businesses build authority.

The playing field is different. In the backlink era, earning links required technical SEO knowledge, outreach campaigns, and often significant budgets. Large companies with dedicated SEO teams had a structural advantage. AI mentions are driven more by genuine reputation and clear positioning. A solo consultant with great reviews and a strong niche presence can outperform a large company with mediocre reviews and vague positioning.

Velocity matters. Early link builders in SEO had a compounding advantage that was hard for latecomers to overcome. The same dynamic is forming with AI mentions. Businesses building their AI credibility signals now will be harder to displace once AI recommendation patterns solidify.

Manipulation is harder. Link schemes and paid link building were widespread in SEO. AI mentions are harder to game. You can't easily fake reviews at scale without getting caught. You can't fabricate editorial coverage. The signals that drive AI recommendations are harder to manipulate, which actually benefits legitimate businesses that deliver real value.

The diversity of signals matters more. In SEO, you could theoretically rank well with backlinks alone. AI recommendations draw from a broader set of signals: reviews, mentions, community reputation, content quality, and positioning clarity. No single signal dominates, which means you need a well-rounded presence rather than strength in just one area.

How to "earn" AI mentions

The strategies parallel the best practices of ethical link building, with some important additions.

Create content worth referencing. Original research, unique data, and novel frameworks give other creators a reason to cite you. In the backlink world, "link-worthy content" was a cornerstone strategy. The same logic applies to building the kind of presence that AI platforms recognize.

Build genuine review momentum. After every successful project or sale, make it easy for satisfied clients to leave reviews on relevant platforms. Don't game it. Don't incentivize fake reviews. Just systematically ask happy clients to share their experience. This is one of the highest-leverage activities for AI visibility.

Pursue earned media and editorial mentions. Pitch stories to publications your audience reads. Share unique insights, data, or perspectives that journalists and editors actually want to cover. One genuine editorial mention is worth more than dozens of self-published articles.

Participate in community discussions. Show up where your audience hangs out. Answer questions on Reddit, contribute to industry forums, engage in LinkedIn discussions. When you genuinely help people and your brand name appears in those contexts, you're building the signal that AI platforms detect.

Maintain impeccable positioning clarity. AI needs to understand exactly what you do and who you serve. Every touchpoint, from your website to your LinkedIn bio to your directory listings, should reinforce the same clear message. Consistency amplifies every other signal.

Tracking your AI mention profile

In SEO, tools like Ahrefs and Moz tracked your backlink profile. You could see how many links you had, where they came from, and how they changed over time.

AI mentions need similar tracking. You need to know: Does ChatGPT recommend you? For which queries? Does Perplexity mention you? How about Gemini and Claude? How does your mention profile compare to competitors?

Mentionable was built to answer these questions. It tracks your visibility across AI platforms for the relevant queries that matter to your business, giving you the same kind of visibility into your AI mention profile that backlink tools gave you for SEO.

Without tracking, you're building blindly. You might be earning mentions and not know it. You might be losing them and not know it. Data is what turns this from guesswork into strategy.

The compounding effect

Just like backlinks, AI mentions compound over time.

When AI recommends you, more people discover and try your product. Some of them leave reviews. Others mention you in their own content. Industry publications take notice and write about you. All of these create new signals that make AI even more likely to recommend you in the future.

The inverse is also true. If you're not being mentioned, you're not building new signals, and the gap between you and competitors who are being mentioned grows wider.

This is why starting matters more than perfecting. The business that begins building AI mention signals today, even imperfectly, will have a meaningful advantage over the one that waits for a perfect strategy.

Backlinks built the authority layer of the internet for two decades. AI mentions are building the authority layer for the next era. The businesses that recognize this parallel early and act on it will capture a disproportionate share of AI-driven discovery.

The playbook isn't complicated. Build something genuinely good. Make your positioning crystal clear. Earn independent credibility. And track where you stand so you can keep improving.

The rest takes care of itself.

Frequently Asked Questions

What is an AI mention?
An AI mention is any instance where an AI platform like ChatGPT, Perplexity, or Gemini references or recommends your brand in response to a user query. These mentions are built from signals like reviews, editorial coverage, community discussions, and content citations.
How are AI mentions similar to backlinks?
Both are third-party trust signals that determine visibility. Just as Google used backlinks from reputable sites to rank pages, AI platforms use mentions from credible sources to decide which brands to recommend. Quality and relevance of the source matter in both cases.
What types of signals drive AI mentions?
Five main signal types drive AI mentions: review platform presence (G2, Trustpilot, Capterra), editorial coverage in industry publications, community mentions on Reddit and forums, content that others reference and cite, and a consistent web presence across your site and profiles.
Can you fake or buy AI mentions like you could with backlinks?
AI mentions are significantly harder to manipulate than backlinks were. You can't easily fake reviews at scale without getting caught, and you can't fabricate editorial coverage. The signals that drive AI recommendations reward legitimate businesses that deliver real value.
How do I track my AI mentions?
Tools like Mentionable track your visibility across AI platforms for relevant queries relevant to your business, similar to how Ahrefs and Moz tracked backlink profiles for SEO. Without tracking, you won't know if you're gaining or losing mentions.
Do AI mentions compound over time like backlinks did?
Yes. When AI recommends you, more people discover your product, leave reviews, and mention you in their content. This creates new signals that make AI even more likely to recommend you in the future. The inverse is also true: not being mentioned means the gap with competitors widens.
How can a small business compete for AI mentions against larger companies?
AI mentions are driven more by genuine reputation and clear positioning than by budget. A solo consultant with great reviews and a strong niche presence can outperform a large company with mediocre reviews and vague positioning, unlike the backlink era where big SEO teams had a structural advantage.
Alexandre Rastello
Alexandre Rastello
Founder & CEO, Mentionable

Alexandre is a fullstack developer with 5+ years building SaaS products. He created Mentionable after realizing no tool could answer a simple question: is AI recommending your brand, or your competitors'? He now helps solopreneurs and small businesses track their visibility across the major LLMs.

Published February 7, 2026· Updated February 11, 2026

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