How to Get Your Brand Cited by ChatGPT and Perplexity
When someone asks ChatGPT “what is the best tool for X?” — your brand either appears or it does not. There is no position two. This guide covers exactly what moves the needle.
Step 1: Audit your AI crawler access
Before anything else, check whether AI crawlers can access your site. Open your robots.txt and look for disallow rules targeting:
GPTBot— OpenAI's crawlerClaudeBot— Anthropic's crawlerPerplexityBot— Perplexity's crawlerGoogleOther— Used for AI Overviews training
If any of these are blocked, remove the rules. A brand that AI systems cannot crawl is a brand that does not exist in their context window.
Step 2: Create content that directly answers questions
AI systems are retrieval machines. They look for content that precisely matches a query's intent. That means your content needs to be structured around questions — not just keywords.
A practical approach:
- List the top 20 questions your target audience would ask an AI about your category.
- For each question, write a page or section that answers it directly in the first paragraph — then elaborates below.
- Use the question as the H1 or H2 heading. This signals intent to both search engines and AI retrieval systems.
Avoid long preambles. AI systems pull from content that gets to the answer fast.
Step 3: Implement structured data
Schema markup is a direct signal to AI systems about what your content answers. The most valuable types for AEO:
- FAQ schema — wrap common questions in
FAQPagemarkup. This is the single highest-leverage schema for AI citation. - Article schema — include author, datePublished, and a clear headline on every blog post and editorial piece.
- HowTo schema — for process-oriented content, mark up each step explicitly.
- Organization / Person schema — on your homepage and about page, define your brand clearly. Include name, description, url, and sameAs links to authoritative profiles.
Use JSON-LD in your page <head>. It is the format preferred by all major AI retrieval systems.
Step 4: Build brand signals across the web
AI systems synthesise answers from multiple sources. The more authoritative sources that mention and describe your brand consistently, the stronger your signal.
Focus on:
- Press coverage — editorial mentions in industry publications carry significant weight. A single article in a respected outlet outweighs dozens of low-authority links.
- LinkedIn and social profiles — keep your brand description consistent. AI systems crawl social profiles and use them as reference data.
- Third-party directories and review platforms — G2, Trustpilot, ProductHunt, Crunchbase. These appear in AI-scraped datasets and reinforce brand legitimacy.
- Expert roundups and lists — being named in “top X tools for Y” articles directly feeds into AI category associations.
Step 5: Monitor and measure
You cannot optimise what you do not measure. AI citation monitoring is still an emerging practice — most analytics platforms do not track it — but you can do it manually or with specialised tools.
Manual approach: create a list of your 20 most important category queries. Once a week, ask ChatGPT, Perplexity, and Gemini each of them. Log whether your brand appears, what position it appears in, and which competitors are cited instead.
Automated approach: platforms built for AI search visibility monitoring can run these queries at scale, track mention share over time, and flag when you are displaced by a competitor. This is the same problem that platforms working on autonomous AEO solve — running citations checks continuously so you do not have to.
What not to do
- Do not stuff your FAQ pages with low-quality questions. AI systems detect thin content.
- Do not rely solely on your own website. Third-party brand signals matter as much as on-site optimisation.
- Do not block AI crawlers “for privacy reasons” without understanding the trade-off. You are trading AI visibility for marginal data protection.
- Do not assume your SEO ranking translates to AI citation. A page at position one in Google is not automatically cited by ChatGPT. They are separate systems.
The compounding effect
AI citation is compounding. Once an AI system associates your brand with a category, that association influences future training data, which reinforces future citations. The brands that establish strong AI presence in 2025 will have a structural advantage by 2026 and beyond.
Start with what you can control: your robots.txt, your schema, and your on-page content structure. Then work outward to build the brand signals that AI systems use to calibrate trust.
Written by Liam Karlsson
Co-founder of Rankad.ai. Liam works with brands on AI search visibility. Based in Gothenburg and San Francisco.
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