ChatGPT Ignores Your Company? Here's How to Fix It in 9 Steps

• ChatGPT won't cite you if it isn't confident about you. Confidence comes from consistent third-party mentions, not your website.
• The sequence matters: authority building before content optimization. Most companies get this backwards.
• Timeline: Perplexity in 2-4 weeks. ChatGPT and Claude in 60-180 days. Start all of them now.
• The fastest single lever: getting into independent comparison articles on Trust Hub platforms in your niche.
• GEO rarely drives referral clicks. It drives pre-formed perception. Buyers arrive already knowing your name.

Run a Proper Baseline Before Touching Anything

Most companies skip this and spend months optimizing for the wrong thing. Run 30 queries before making any changes. You need to know: does the model know you exist, what does it say when it mentions you, which competitors appear in queries where you don't, and which platforms does it cite when it answers questions in your category.

Five prompts that give you a complete picture in 30 minutes:

Log the results. Do this in ChatGPT, Claude, and Perplexity. The gaps between platforms tell you where to invest. Run the same 30 queries every two weeks from this point forward so you can measure movement. For a deeper framework on this, see our guide on how ChatGPT rates your brand authority.

Unblock AI Crawlers in 10 Minutes

Check your robots.txt now. In our audits, roughly one in three companies has at least one major AI crawler blocked — often without knowing it. Some have all of them blocked. Cloudflare's "Bot Fight Mode" blocks AI crawlers at the network layer even when your robots.txt is correct.

Every crawler you need to explicitly allow:

User-agent: GPTBot
Allow: /

User-agent: OAI-SearchBot
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

Write One Canonical Definition and Deploy It Everywhere

LLMs build their picture of what you do by aggregating signals from every source they've seen. If your G2 profile calls you a "workflow automation platform," your LinkedIn says "AI-powered business tools," and your website says "the operating system for modern teams," the model can't form a confident picture of what you actually are.

Specific category means one thing. Not "comprehensive," not "all-in-one," not "next-generation." The definition should be nearly identical across every platform.

Find and Close Your Trust Hub Gaps

A Trust Hub is the cluster of platforms LLMs pull from when answering questions in your category. It's not universal. From a 150-query study across cybersecurity, fintech, dev tools, and general SaaS, the top citation sources are completely different by niche.

PeerSpot appears consistently across every B2B niche we've tracked. It outperforms G2 in citation volume in most categories. It requires genuine customer reviews — 5 detailed reviews from real customers with real outcomes.

Get Into Independent Comparison Articles

Think about how trust works between people. If you tell someone you're the best at something, they're skeptical. If someone else tells them — someone with no stake in the outcome — they believe it. LLMs work the same way. One editorial placement in a niche publication carries more citation weight than dozens of posts on your own domain.

This is the mechanic behind the 70/30 rule: 70% of your brand mentions should come from independent third-party sources, 30% from self-published.

Three ways to get into comparison articles:

• Find published articles comparing your competitors, email the author directly, explain why your product belongs
• Reach out to niche publications and offer a "how to choose a [category]" piece
• Publish a "[Your Product] vs [Competitor]" page on your own domain with genuine, balanced analysis

Echo a Topic Across Every Content Layer You Own

LLMs assign authority by topic, not by company. The way to trigger that: go narrow and echo the same topic across multiple layers of content you control.

Pick one specific niche, use case, industry, or problem your product solves. Then build the full stack around it:

For a practical example of this strategy in action, see our Reddit marketing playbook for AI visibility — one of the most effective community layers.

Restructure Your Key Pages for Extraction

LLMs extract structured content. They paraphrase prose. "Reduces MTTR by 40%" becomes "helps teams respond faster." Your exact benchmark — the thing that makes you different — disappears.

The rule that matters most: bullets under 15 words get extracted directly. Over 15 words and the model paraphrases.

Prioritize your homepage, main product page, and any page targeting your primary category keyword. For a comprehensive list of content formatting tactics, see the 15 content strategies that rank in search and get cited by AI.

Build Your LLM Sitemap and llms.txt

An LLM Sitemap at /llm-sitemap is a single page that tells AI systems exactly what your company is, what category you're in, what you're not, and who you're for. Read our LLM Sitemap guide for a full walkthrough.

A /llms.txt file at your root is the plain-text equivalent. What each should include:

• Your canonical definition (from step 3)
• Your specific category and target buyer
• Your 3-5 primary use cases with one-sentence descriptions
• What you're not (reduces misclassification)
• Key differentiators with specific metrics
• FAQs sourced from your actual sales conversations
• Links to your most authoritative third-party citations

Add FAQ Schema to High-Intent Pages

Every FAQPage schema markup you add turns each Q&A pair into a discrete citation candidate. The model can pull a single answer without quoting the whole page.

{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [{
    "@type": "Question",
    "name": "What is [Your Product] used for?",
    "acceptedAnswer": {
      "@type": "Answer",
      "text": "[Your Product] is a [category] for [ICP]. It [primary function]. Unlike [alternative], it [differentiator with specific metric]."
    }
  }]
}

Also add dateModified schema to every page you update. Retrieval systems treat recency as a reliability proxy. For a complete checklist of schema and structural optimizations, see the 51-Point AI Visibility Checklist.

Run the 5 baseline prompts in ChatGPT, Claude, and Perplexity. Check your robots.txt for OAI-SearchBot. Write your canonical definition. These three actions take under two hours and unblock everything that follows.

The companies that get cited in ChatGPT at the 6-month mark started their authority work on day one. The clock starts when you start, not when you decide GEO matters.