Here's a question worth asking: when someone asks ChatGPT or Perplexity about your industry, does your brand come up?
For most businesses, the answer is no. Not because their product is bad or their content is weak, but because their website isn't set up for AI discovery. The good news is that most of these issues are fixable, and fixing them puts you ahead of the vast majority of your competitors.
Here are seven signs your website is invisible to AI, and what to do about each one.
1. You're Blocking AI Crawlers in robots.txt
This is the most common and most damaging mistake. Many websites have robots.txt rules that block AI bots from crawling their content. Sometimes intentionally (out of concern about AI training), sometimes by accident (a blanket disallow rule that catches AI user agents).
How to check: Open your robots.txt file (yourdomain.com/robots.txt) and look for rules targeting GPTBot, ClaudeBot, PerplexityBot, or Google-Extended. A Disallow: / rule for any of these agents means that AI assistant can't see any of your content.
What to do: If you want AI visibility (and you're reading this article, so you probably do), allow these crawlers access to your content. You can still block specific sensitive directories while allowing general content access.
2. You Have No Structured Data
Structured data (JSON-LD schema markup) is how AI systems understand the meaning of your content, not just the text. Without it, AI assistants have to guess what your page is about, who wrote it, and what kind of content it contains.
How to check: Use Google's Rich Results Test or view your page source and search for application/ld+json. If nothing comes up, you have no structured data.
What to do: At minimum, implement Organization schema on your homepage and Article schema on every blog post or content page. Add FAQPage schema to any page with Q&A content. This is one of the highest-impact changes you can make.
3. Your Content Doesn't Answer Specific Questions
AI assistants respond to questions. If your website content reads like vague brand messaging ("We deliver innovative solutions for forward-thinking enterprises"), AI systems have nothing useful to extract.
How to check: Read your top 10 pages. Does each one clearly answer a specific question someone might ask an AI assistant? If every page reads like a brochure, you have a problem.
What to do: Restructure key pages around the questions your customers ask. Use those questions as headings. Answer them directly in the first sentence or two below each heading. Add FAQ sections to your most important pages.
4. You Don't Have an llms.txt File
llms.txt is a relatively new convention. It's a markdown file at your site root that gives AI systems a structured summary of who you are, what you do, and where to find your key content. Think of it as a cover letter for AI crawlers.
How to check: Try accessing yourdomain.com/llms.txt. If you get a 404, you don't have one.
What to do: Create a markdown file that includes your brand name, a one-paragraph description, and links to your most important pages. Keep it concise and factual. It typically takes less than 30 minutes to create.
5. Your Site Has No Freshness Signals
AI systems strongly prefer recent content. If your blog hasn't been updated since 2023, if your pages don't show publication or modification dates, and if your Article schema lacks datePublished and dateModified properties, AI systems will treat your content as potentially stale.
How to check: Look at your most recent content. When was it published? Do your content pages show dates? Does your Article schema include date properties?
What to do: Add visible publication and "last updated" dates to your content. Include datePublished and dateModified in your Article schema. Commit to updating your most important content at least quarterly. Publish new content regularly.
6. Your Brand Identity Is Inconsistent Across the Web
AI systems build an understanding of your brand by cross-referencing mentions across multiple sources. If your company name, description, or key details differ between your website, LinkedIn, Google Business Profile, and industry directories, AI systems have lower confidence in your brand entity and are less likely to cite you.
How to check: Google your brand name and compare how you're described across different platforms. Are the descriptions consistent? Is your company name spelled the same way everywhere?
What to do: Audit your brand presence across the top 10 platforms where you're listed. Standardize your company name, tagline, and description. Make sure contact details and other factual information match everywhere.
7. You Have No FAQ Content
FAQ pages and FAQ sections are disproportionately valuable for AI citation. They map directly to the question-answer format AI assistants use. A well-structured FAQ section with proper FAQPage schema is one of the easiest ways to get cited.
How to check: Do your key pages have FAQ sections? Is there FAQPage JSON-LD schema on those pages?
What to do: Add FAQ sections to your top 5 most important pages. Focus on the questions your customers actually ask (check support tickets, sales calls, and industry forums for inspiration). Mark up each FAQ section with FAQPage schema.
The Compound Effect
Any single one of these issues reduces your AI visibility. But they tend to cluster. A site blocking AI crawlers usually also lacks structured data and FAQ content. The compound effect means your brand might be completely invisible to AI search while your competitors (who may have worse products but better technical setup) are getting cited regularly.
The flip side is also true: fixing these issues creates compound improvement. Each fix makes the others more effective.
How Many of These Apply to You?
Most businesses have at least three or four of these issues. The only way to know for sure is to check.
Run a free AEO audit to get a detailed breakdown of your AI visibility score, covering crawlability, structured data, content readiness, accessibility, and more. It takes 30 seconds and shows you exactly what to fix first.