How to Get Your Brand Mentioned by AI Search Engines
Practical tactics to improve your visibility across ChatGPT, Perplexity, and Gemini. From fixing your own content to getting mentioned in the right third-party sources.
The problem is clear, now what?
You've checked your AI visibility and the results aren't great. Maybe one engine mentions you but the other two don't. Maybe you show up for your brand name but not for category queries. Maybe competitors are getting recommended in places where you should be.
The good news: AI visibility is improvable. The tactics aren't mysterious, but they are different from traditional SEO in important ways. Here's what actually moves the needle.
Fix what you control first
Before trying to influence external sources, make sure your own website gives AI engines clear, accurate information to work with.
State what you do in plain language. AI engines extract information from your site during training and retrieval. If your homepage is heavy on marketing language but light on specifics, models struggle to categorize you. "We empower teams to achieve more" tells an AI nothing. "Project management software for remote teams under 50 people" tells it exactly where to file you.
Have a clear comparison or alternatives page. When someone asks an AI "what are the alternatives to [competitor]," the engine looks for content that directly answers that question. A well-structured comparison page on your own site increases the chance you appear in those answers.
Maintain an up-to-date features page. AI engines frequently cite feature pages when recommending products. If your features page is outdated or vague, models either skip you or describe you inaccurately. List specific features with concise descriptions.
Add structured data. Gemini in particular leans heavily on Google's infrastructure, and structured data (schema markup) makes your information more machine-readable. At minimum, add Organization, Product, and FAQ schema to your key pages.
Get mentioned in the right third-party sources
Your own site is necessary but not sufficient. AI engines, especially ChatGPT, rely heavily on what other sources say about you. The types of third-party content that carry the most weight:
Comparison and roundup articles
"Best [category] tools in 2026" articles are one of the most direct inputs to AI recommendations. When a model needs to answer "what's the best CRM for startups," it's drawing from dozens of roundup articles it has seen.
How to get included: Identify the top-ranking roundup articles for your target keywords. Some accept submissions or have application forms. Others are written by bloggers or publications you can pitch. A few placements in authoritative roundup articles can significantly shift your AI visibility.
Review platforms
G2, Capterra, Trustpilot, Product Hunt -- these platforms are heavily represented in training data and live search results. A strong presence on the review platforms relevant to your industry gives AI engines third-party validation to cite.
What matters most: Number of reviews, recency of reviews, and average rating. A product with 200 recent reviews on G2 is much more likely to be mentioned than one with 15 reviews from two years ago.
Industry publications and blogs
Being featured or quoted in industry-specific publications adds to your authority signal. This doesn't have to be TechCrunch. Niche industry blogs, newsletters, and podcasts all contribute to the corpus that AI models learn from.
Forums and community discussions
Reddit, Hacker News, Stack Overflow, and niche community forums show up in both training data and live search results. When real users recommend your product in genuine discussions, that signal gets picked up. You can't fake this -- AI models are trained on enough forum data to distinguish organic mentions from astroturfing.
Create content that directly answers AI queries
AI engines generate answers to questions. The more your content directly answers the questions people ask, the more likely you are to be cited as a source (especially by Perplexity, which does live retrieval).
Target question-format keywords. "How do I track employee time" is better than "time tracking software." Create content that addresses the question directly and naturally mentions your product as part of the answer.
Write genuinely useful guides. A 2,000-word guide that thoroughly answers a question earns citations. A 400-word SEO page stuffed with keywords doesn't. AI engines are pulling from sources they assess as authoritative and comprehensive.
Cover adjacent topics. Don't just write about your product. Write about the problems your customers have, the workflows they use, and the decisions they face. This builds topical authority that influences how AI models categorize and recommend you.
The timeline is longer than you think
Unlike paid ads where results are immediate, AEO improvements compound over time:
- Perplexity reacts fastest. New content that ranks well in traditional search can influence Perplexity's answers within days.
- Gemini picks up changes moderately fast, especially for content indexed by Google.
- ChatGPT is the slowest to reflect changes. Improvements to your web presence may not show up in ChatGPT's answers until the next model update, which can be weeks or months.
This means you should optimize for Perplexity and Gemini first (where you'll see results sooner) while building the broader web presence that eventually improves ChatGPT visibility.
What not to do
A few approaches that waste time or backfire:
Don't spam AI engines. Submitting your site to ChatGPT or trying to game model outputs through prompt engineering doesn't work. These models learn from broad web patterns, not individual submissions.
Don't create thin content at scale. Publishing 50 low-quality blog posts to "build topical authority" is the same mistake people made with early SEO. AI engines are better at assessing content quality than Google's algorithm was in 2010.
Don't ignore negative mentions. If an AI engine says something inaccurate or negative about your brand, trace where that information might come from. Outdated reviews, a critical blog post, or incorrect information on a third-party site can all feed into AI-generated answers. Fix the source, and the AI answer eventually updates.
Measure, then iterate
Optimization without measurement is guesswork. After making changes, check your visibility again to see what moved. A QuickAEO report gives you a structured baseline across all three engines, making it easier to spot which tactics had impact and where gaps remain.
AI visibility isn't a one-time fix. It's an ongoing practice, similar to SEO but with different rules and faster-shifting dynamics. Start with the highest-leverage tactics -- clear website content, comparison page placement, review platform presence -- and build from there.