If you don't appear in ChatGPTyou don't exist for 25% of searches

Over 25% of all searches now happen through AI platforms, and this number is growing rapidly. When users ask ChatGPT or Perplexity for product recommendations, the AI cites specific brands. If your competitors are being mentioned and you're not, you're losing potential customers. AI visibility directly impacts brand awareness, trust, and ultimately sales in the new AI-first search landscape. Unlike traditional search where you can rank on page 2, in AI search you either get mentioned or you don't exist.

Reaudit monitors your brand mentions across 9+ major AI platforms including ChatGPT, Claude, Gemini, Perplexity, DeepSeek, Copilot, Meta AI, Mistral, and Grok. We track how often your brand is cited, in what context, and compare your visibility against competitors. Our dashboard provides real-time insights into your AI discoverability score and shows exactly which prompts trigger mentions of your brand. You can see trends over time, identify opportunities, and measure the impact of your optimization efforts.

AI-friendly content is structured, factual, and quotable. It includes clear definitions, statistics with citations, well-organized headings, FAQ sections, and schema markup. AI models prefer content that directly answers questions, includes authoritative sources, and presents information in a format that's easy to extract and cite. Key elements include: answer-first content structure (40-60 word summaries), semantic HTML with proper heading hierarchy, comprehensive schema markup (Article, FAQ, Organization schemas), and authoritative citations with data points.

Results vary depending on your starting point and industry competitiveness. Some brands see improved AI citations within 2-4 weeks of implementing our recommendations. Significant visibility improvements typically occur within 1-3 months. Unlike traditional SEO which can take 6+ months, AI search optimization often shows faster results because AI models update their knowledge more frequently. Quick wins include adding schema markup to existing content, creating FAQ pages, and optimizing existing high-quality content with answer-first structure.

An llms.txt file is similar to robots.txt but specifically designed for AI crawlers and large language models. It helps AI systems understand your website's structure, key information, and how you want your brand to be represented. Having a well-crafted llms.txt file can significantly improve how AI platforms interpret and cite your content. It allows you to provide context about your business, highlight important pages, and guide AI crawlers to your most authoritative content.

Traditional search shows a list of links for users to click. AI search provides direct answers, often citing sources inline. In AI search, you either get mentioned or you don't—there's no "page 2". AI models synthesize information from multiple sources and recommend specific brands based on authority, relevance, and content quality. This makes AI visibility a winner-take-most game where being cited matters more than ranking positions. The brands that AI trusts become the default recommendations for millions of users.

Reaudit tracks visibility across all major AI search platforms: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity, DeepSeek, Microsoft Copilot, Meta AI, Mistral AI, and Grok (xAI). We continuously add new platforms as the AI search landscape evolves to ensure comprehensive coverage of where your customers are searching. Each platform has unique characteristics, but our optimization recommendations apply across all of them.

Getting started is simple: book a call with our founder to discuss your AI visibility goals, and we'll set up your dashboard with your brand and competitors. You'll immediately see your current AI visibility score, where you're being mentioned, and get actionable recommendations to improve. Most brands are fully onboarded within a day and seeing insights immediately. We provide hands-on support to help you implement optimizations and track your progress over time.

The ROI from AI search optimization varies by industry, but brands we work with typically see 40-150% increases in AI visibility within 3 months. This translates to increased brand awareness, higher quality traffic from AI referrals, and improved conversion rates as AI-referred visitors tend to have higher intent. As AI search continues to grow (projected to handle 50%+ of searches by 2027), early optimization creates compounding advantages over competitors who haven't adapted.

The agentic era is the shift from humans browsing websites to AI agents discovering, comparing, and recommending products on their owner's behalf. ChatGPT, Claude, Perplexity, and Gemini already answer ~25% of online searches without showing blue links. Soon those same agents will operate marketing tools, place orders, and run workflows autonomously via the Model Context Protocol (MCP). Reaudit is built for both halves of that transition: visibility today (track and optimize how AI engines cite your brand) and agent-operated marketing tomorrow (a 162-tool MCP server lets any AI agent run your entire marketing stack via natural language).

The Reaudit MCP (Model Context Protocol) server exposes 162 tools that let AI agents like Claude Desktop, Cursor, ChatGPT Desktop, OpenAI Codex CLI, OpenClaw, Windsurf, Gemini CLI, and any MCP-compatible client operate the entire Reaudit platform via natural language, running audits, generating GEO-scored content, publishing to WordPress, running creator outreach, attributing revenue, and more. It is the largest published marketing MCP server on npm (@reaudit/mcp-server). It matters because in the agentic era, the marketing platforms that AI agents can operate become the platforms that get used every other tool stays stuck in the dashboard era.

Most AI visibility tools stop at the monitoring dashboard. Reaudit ships Revenue Attribution that connects AI bot crawls and AI-referral traffic to real Stripe revenue, via GA4 + Cloudflare + first-party tracking. You can see exactly which AI engine drove a visitor (e.g., "Perplexity sent 2 visitors who generated €59.80") and whether your content investment in being cited by ChatGPT or Claude is producing paying customers. This is the only metric that compounds — knowing your visibility score is useful, but knowing your AI-attributed revenue is what justifies budget.