My CEO Screenshotted ChatGPT Recommending Our Competitor

You ask ChatGPT to recommend a tool in your category and it names your competitor. Worse, it does not mention you at all. This is becoming a real problem for startups as more people use AI assistants instead of Google to discover products. The good news: you can monitor this systematically and build a strategy to change it.

This post covers how to use SERP monitoring to understand why AI models recommend certain products, and what concrete steps shift those recommendations in your favor.

Why AI Recommends Your Competitor

Large language models learn from web content. When ChatGPT or Claude recommends a product, it reflects the weight of that product's presence across the training data -- blog posts, documentation, community discussions, comparison articles, and review sites. If your competitor has more of this content, the model has more evidence to cite them.

But training data is only part of the picture. Many AI assistants now use real-time search to ground their answers. If your competitor dominates the SERPs for your category keywords, they dominate AI answers too.

Step 1: Monitor Your Category SERPs

Start by tracking what Google returns for queries that prospects actually ask AI assistants. Use the Scavio API to automate this:

const queries = [
  "best real-time search API 2026",
  "SERP API comparison",
  "alternative to [competitor name]",
  "search API for AI agents",
  "[your category] tools for developers"
];

for (const query of queries) {
  const res = await fetch("https://api.scavio.dev/api/v1/search", {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "x-api-key": process.env.SCAVIO_API_KEY
    },
    body: JSON.stringify({
      platform: "google",
      query,
      mode: "full"
    })
  });
  const data = await res.json();
  // Store results for analysis
  console.log(query, data.organic?.slice(0, 10));
}

Run this daily or weekly. Track which domains appear in the top 10 results for each query and how positions change over time.

Step 2: Analyze the Content Gap

Look at what your competitor has that you do not:

• Comparison pages (them vs. alternatives)
• Integration guides with popular frameworks
• Community mentions on Reddit, Stack Overflow, Hacker News
• Guest posts and co-authored technical content
• Documentation that ranks for long-tail queries

Use the search_google tool to search for your competitor's domain and see which pages rank for which queries. Then do the same for yours. The difference is your content gap.

Step 3: Build Content That AI Models Cite

AI models favor content that is structured, factual, and widely referenced. Focus on:

• Detailed comparison pages with honest benchmarks
• Technical documentation that answers specific questions
• Blog posts that solve real problems using your product
• Open-source examples and integrations

The goal is not just traditional SEO. You want content that an AI model would cite as a primary source when answering a question about your category.

Step 4: Automate the Monitoring

Set up a recurring job that checks your position for key queries:

async function checkAIVisibility(brand: string, queries: string[]) {
  const results = [];
  for (const query of queries) {
    const res = await fetch("https://api.scavio.dev/api/v1/search", {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "x-api-key": process.env.SCAVIO_API_KEY
      },
      body: JSON.stringify({ platform: "google", query })
    });
    const data = await res.json();
    const position = data.organic?.findIndex(
      (r: any) => r.link?.includes(brand)
    );
    results.push({ query, position: position === -1 ? null : position + 1 });
  }
  return results;
}

Track these positions weekly. When you publish new content, you can measure its impact on your visibility within days.

The Long Game

AI recommendations will not change overnight. But the companies that monitor this now and build content strategies around it will have a significant advantage. The shift from Google search to AI-assisted discovery is accelerating, and your SERP presence directly influences what AI models tell potential customers about your category.

Start monitoring today. The data will tell you exactly where to focus your effort.