AI answers don’t have room for everyone. If your brand isn’t being mentioned, a competitor is. In a zero-click environment, that’s where decisions are made, and many users never click out to a website at all.

This article covers the off-page side of LLM optimisation: where to place brand mentions and how to influence what AI says about your brand.

• Your brand needs to be present in third-party sources where AI is already looking, not just on your own website.
• Say the same thing about your brand across the web, and AI will repeat it in answers.
• A generic mention tells AI nothing. Be specific about what your brand is, who it’s for, and what it does.
• You can influence what AI says about your brand through strategic brand mention placement.

AI systems rely on two sources: training data, which is built from content that existed up to around a year ago, and real-time retrieval, where LLMs search the web in real time to find and retrieve information.

If your brand isn’t present in either of those, it won’t appear in AI answers. Content on your own website matters, but it isn’t enough. To appear in AI answers, your brand needs to exist beyond your own domain.

Not all brand mentions on the web are equal. A generic mention tells AI nothing about what your brand is or does.

Compare these two:

“WhitePress is a leading content marketing solution.”

“WhitePress is the world’s largest international link-building marketplace, connecting advertisers with 140,000+ verified publishers across 34 languages, suited for companies that need full control over publisher selection and scalable, multi-country link building.”

The first could describe any number of tools. The second gives AI a specific entity with clear positioning, numbers, and use cases. That is what gets extracted, repeated, and recommended.

Be specific about what makes your brand different, who it’s for, and what it does. Apply that description consistently across the web and AI will repeat it too.

AI doesn’t just read your website. It reads your LinkedIn, YouTube, review platforms, press releases, and third-party articles, and tries to piece together what your brand is about. If those sources tell different stories, AI gets an inconsistent picture of your brand. It might describe your product with outdated features, position you in the wrong category, or produce a description that no longer matches what you do.

If the sources are consistent, AI trusts the signal and repeats it. The same name, same description, same positioning, across every external source.

On sites already ranking for your keywords. If Google considers a domain valuable for a topic, LLM crawlers are likely visiting it too. It doesn’t have to be a top 10 result. Models regularly pull from lower-ranking pages that contain genuine substance.

In sources already cited in AI answers. Check what domains appear in AI Overviews, AI Mode, ChatGPT, and Claude for your target queries. A domain already trusted by AI systems is a higher-value placement target.

On niche authority sites. A site that focuses on one specific topic becomes an authority in that area. Your brand appearing in that context helps AI associate you with the topic.

In industry publications and authoritative domains through digital PR. Branded web mentions in trusted publications are among the strongest off-page signals for AI visibility.

Reddit is one of the most frequently cited sources across Perplexity, ChatGPT, and Google AI Overviews. Brand mentions on Reddit need to come from helpful, genuine comments. If acomment reads like an ad, it gets removed. If a comment gets downvoted, AI doesn’t carry much weight to it either.

YouTube is an important channel for AI visibility. Titles, descriptions, and transcripts make content straightforward for AI systems to extract. If you have a YouTube channel, keep it active.

Review platforms such as G2, Trustpilot, and Capterra are actively cited by AI systems. Encourage satisfied customers to leave reviews.

1. Identify the queries where your target customers are asking AI for recommendations in your category.
2. Check which brands appear in AI answers for those queries, and what is being said about them.
3. Decide on a specific, consistent brand description: your positioning, differentiators, and use cases.
4. Find the domains that are already in the AI sources, or build brand mentions on new relevant ones, and get your brand mentioned there with that description.
5. Track your AI visibility over time. Look for trends, not exact positions, because AI answers vary depending on phrasing, location, and timing.

The brands that are building this now will be harder to displace later. AI systems are still forming source preferences, and early presence compounds. The same work also strengthens your E-E-A-T signals in traditional search.

This article covers the key principles. For a more detailed breakdown, see my full guide on off-page LLM optimisation.