5 Ways to Improve Your Brand’s AI Visibility
Most brands still optimize for Google. Their buyers already moved to ChatGPT.
Referral traffic from AI tools like ChatGPT and Claude has tripled, according to Search Engine Land, and 55% of US consumers now use AI for product research at least weekly, per a Semrush survey of 1,000+ shoppers. The shift is happening whether or not your brand is ready for it.
So the question isn't whether AI search matters. It's whether your brand gets named when a buyer asks ChatGPT, "What's the best [product] in this category?"
Here are five practical ways to make sure it does.
1. Publish structured content, not marketing copy
AI models read structure. Clear product descriptions, detailed FAQs, and well-organized category pages make it easier for ChatGPT to understand what you actually sell and who it's for.
The brands that get summarized accurately are the ones that gave the model something clean to summarize.
Comparison content earns its place here too. Pages framed as "Why choose X over Y?" map directly onto the questions buyers ask AI assistants, which makes them more likely to get pulled into a recommendation answer. You're not writing for a crawler anymore. You're writing for a model that has to decide what to say about you.
2. Optimize for answers, not rankings
Traditional SEO ranks you on a page. Answer Engine Optimization (AEO) gets you named in an answer. They're different games, and the second one is where buyers increasingly decide.
In practice, AEO means auditing your site for AI discoverability, monitoring where your brand surfaces inside ChatGPT and Perplexity, and adapting your content based on what the models actually return, not what a keyword tool tells you to chase. The signal you're optimizing for isn't position one. It's inclusion in the response.
3. Earn editorial and PR mentions
LLMs don't run PageRank. They summarize trusted sources.
When ChatGPT recommends products, it frequently cites editorial publications like Cosmopolitan, Marie Claire, and Forbes, because those outlets carry credibility the model has learned to trust.
That's why PR outreach is now a visibility lever, not just a brand-awareness one. A single feature in a high-authority publication can ripple into hundreds of future AI-generated recommendations, because the model treats that mention as corroboration of who you are and what you make. Consistent mentions across the right sources build the confidence a model needs before it puts your name in an answer.
4. Benchmark against competitors
Showing up isn't the goal. Outranking the competitor who currently owns the answer is.
Track how often your competitors get mentioned, which categories they appear in, and which sources the models cite when recommending them. That tells you exactly where the gaps are: the buyer prompts where a rival gets named and your brand is absent.
Once you know which prompts matter and who's winning them, you can prioritize the specific content and citations that move you into the recommendation set, instead of guessing at a generic checklist.
5. Measure continuously
AI visibility isn't a one-time fix. Models update, citation sources shift, and competitors publish new content that changes who gets surfaced. Treat it like a metric you track over time, not a project you finish.
Set a baseline for how often your brand appears across ChatGPT, Perplexity, and Gemini. Watch how that number moves as you ship changes, and double down on what's working. In one anonymized clean beauty case, a brand increased its AI visibility 5x in 90 days by doing exactly this: measuring, fixing the highest-leverage gaps, and measuring again.
Where to start
This is the work CartRank does. You get a real visibility score, the actual competitor beating you on real buyer prompts, and a ranked list of fixes tied to the exact sources the models cite, not a 50-item SEO to-do list.
Run a free visibility check and see where your brand shows up today when someone asks AI for the best in your category. It takes about a minute, and the prompts are generated for you.
