How to get your brand mentioned and cited by AI systems

Executive overview

AI tools don't rank pages the way Google does — they surface brands based on off-site signals: where your name appears, how it's described, and how consistently that description repeats. Getting picked up by ChatGPT, AI Overviews, and other LLMs is less a technical problem and more a distribution and positioning problem.

Four strategies drive AI brand mentions: landing on best-of and comparison pages, showing up in recommendation threads, using press releases to anchor consistent language, and building a content machine that generates organic mentions at scale.

Consistent off-site brand description — repeated across third-party sources — is the core signal LLMs use to associate your brand with a specific problem.

Getting listed on best-of and comparison pages

• Best-of lists and X-vs-Y pages rank well, get traffic, and are heavily cited by AI systems as training sources.
• Find target pages by prompting LLMs with best-of questions and checking which pages they cite — those are your targets.
• Outreach should be brief, factual, and free of hype: describe what your product does and who it's for.
• Focus on getting the right description, even if the link is no-follow or absent.
• If a page lists a deprecated or low-quality resource, offer yours as a replacement — it lowers friction and adds value first.

Showing up where people ask for recommendations

• Reddit threads, Quora, and niche forums are where people make decisions — and AI systems learn from the answers.
• Only reply to high-intent threads: "what's the best tool for X", "is this worth it", "alternatives to Y".
• Skip vague or theoretical questions — forcing a brand mention into an irrelevant thread risks bans and looks unnatural.
• Write as a user giving honest input, not a salesperson: what you use, why, when it makes sense, when it doesn't.
• Use the same or similar description of your product every time — LLMs build the association from repeated phrasing.

Using press releases to lock in consistent positioning

• A press release lets you write a clean, neutral description of what your brand does and who it's for.
• The press release itself is a weak signal; its value is creating a canonical description you reuse elsewhere.
• Reuse that wording across your website, comparison page outreach, Reddit answers, and journalist emails.
• Consistent repetition of the same description across multiple sources is what drives AI visibility.

Building a content machine

• Organic, unprompted brand mentions are the strongest AI visibility signal — and only a content machine generates them at scale.
• Manual tactics (listicle outreach, Reddit comments) don't scale; a content machine produces mentions automatically.
• Key early moves for a bootstrapped SaaS example: made a limited tool publicly free (no login), launched a weekly newsletter, started a YouTube channel — all tying brand mentions to core category terms.
• Choose one main publishing platform and publish consistently; prioritise value over pitch.
• Redistribute the same content across platforms: blog post → YouTube video → X thread → newsletter.
• One piece of content becomes 5, 10, or 50 pieces over time — create once, distribute forever.