A practical framework, not a trick. Last updated August 2026.
There's no single trick that gets a brand mentioned by ChatGPT. What actually works is closer to reputation-building than SEO in the classic sense - AI assistants tend to recommend brands that are clearly, consistently, and credibly described across the web. Here's the practical version of that.
Inconsistent basic facts about your brand - different descriptions of what you do, outdated pricing, an old company name still floating around - make it harder for any model to confidently describe you. Start with the boring but important part: make sure your own website, your social profiles, and any directory listings you control say the same clear, current thing about what you actually do and who it's for.
This is the part that's genuinely closest to classic SEO: independent, credible sources writing about your brand still matters, because it's exactly the kind of material AI models are trained on and sometimes cite live. Review sites, comparison articles (like this one), genuine customer discussion, and press coverage all count. There's no shortcut here - this is earned, not purchased.
For assistants that browse the web in real time, a site that's easy to crawl and clearly structured has a real advantage. That means: clean HTML, fast load times, structured data (schema.org markup) describing what your business actually is, and a robots.txt that explicitly allows AI crawlers rather than accidentally blocking them.
An llms.txt file is a simple, plain-text summary of your site aimed specifically at AI systems - what your product is, and links to your most important pages. It's an emerging convention, not a proven ranking factor yet, but it costs almost nothing to add and gives AI crawlers a clean, direct summary instead of making them infer everything from your marketing copy. ZillaPulse has a free llms.txt generator on the homepage if you want to create one for your own site.
All of the above is directional work with no guaranteed payoff on any given day - which is exactly why tracking matters more here than it did with traditional SEO. Run the same realistic questions against ChatGPT, Claude, and Gemini on a regular schedule, and watch whether your mention rate, positioning, and sentiment actually move. That's the only way to know if the work above is working, versus just doing things that sound reasonable. See what AI visibility means for more on how to think about measuring this.
Before optimizing anything, see where you actually stand today across ChatGPT, Claude, and Gemini.
Get a one-time auditThere's no fixed timeline - it depends on how established your brand already is elsewhere on the web, and how much of the groundwork below is already in place. Treat it like SEO's cousin: steady, compounding work, not a switch you flip.
No - AI-generated answers aren't paid placements the way search ads are. Being mentioned comes from the underlying signals (how you're described elsewhere, structured data, real-time grounding), not from spend.
The underlying principles overlap a lot - clear structured information, credible third-party mentions, real-time crawlability - but each has different training data, update cadences, and (for some) live browsing behavior, so results can genuinely differ between them. That's part of why tracking all three separately matters.
It's not a guaranteed ranking factor the way some SEO signals are, and its real-world impact is still being established across the industry. It's cheap to add and gives AI crawlers a clean, direct summary of your site, so there's little downside to having one - just don't treat it as a silver bullet on its own.