The 6 Seeds AI Brand Visibility Audit for Food and Agriculture Companies
Test your AI visibility in minutes. Find out if OpenAI (ChatGPT) recommends your brand for partnerships, features it in industry roundups, or mentions it as a solution when prospects search for exactly what you offer. Get your free personalized report showing where you stand in the new era of GEO, AI-powered business discovery.
For brand insights across all models, including Gemini, Perplexity and Anthropic, please get in touch.
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Tell us about your company and we'll test how it appears in AI responses to real business scenarios.
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Just enter your website URL and we'll automatically analyze your business, then test what AI systems recommend about your company.
Frequently Asked Questions
How do AI systems like ChatGPT, Claude, and Gemini decide which food companies to recommend?
AI systems make recommendations based on their training data, which includes industry publications, news articles, company websites, and business databases. When someone asks for food industry recommendations, these LLMs analyze patterns in their training data to suggest companies that appear frequently in relevant contexts. Companies with strong thought leadership content, case studies, and industry recognition are more likely to be recommended. This is why traditional marketing metrics don't translate directly to AI visibility — it's about contextual authority, not just website traffic.
Why isn't my food company showing up in AI-powered business searches?
AI invisibility happens when your company lacks the specific content patterns that large language models recognize as authoritative. Unlike Google SEO, AI systems don't crawl websites in real-time. They rely on training data that often comes from industry publications, news sources, and widely-referenced business content. If your company isn't mentioned in contexts where business decisions are discussed — partnership announcements, industry reports, expert interviews — AI systems won't know to recommend you. This is especially common for excellent companies that focus more on operations than content marketing.
What's the difference between AI visibility and traditional SEO for food brands?
Traditional SEO optimizes for Google's search algorithm using keywords, backlinks, and technical factors. AI visibility optimization focuses on how your brand appears in the training data of large language models. While Google SEO helps people find your website, AI visibility determines whether ChatGPT, Claude, or Gemini will recommend your company when asked for business advice. For food companies, this means AI systems need to see you mentioned in industry contexts — supplier recommendations, partnership case studies, innovation discussions — not just product descriptions. The content strategies are completely different.
How accurate is this AI brand visibility audit compared to manual testing?
Our audit uses the same OpenAI API that powers ChatGPT, so the results reflect exactly what your prospects see when they ask AI for recommendations. We test 10 different business scenarios that mirror real partnership, supplier, and investment research queries. While no audit captures every possible prompt variation, our methodology is based on 6 Seeds' experience with hundreds of food industry business development conversations. The scenarios we test are the actual questions buyers, investors, and partners ask when researching companies in your space.
Can improving my AI visibility help with investor pitches and partnership discussions?
Absolutely. Many investors, corporate development teams, and partnership managers now use AI systems for initial research and due diligence. When they ask ChatGPT or Claude to 'find innovative companies in sustainable packaging' or 'identify potential plant-based protein partners,' your AI visibility directly impacts whether you're included in their consideration set. Strong AI visibility signals market recognition and industry authority — exactly what sophisticated buyers look for. We've seen companies win partnerships simply because they appeared in AI-generated shortlists that their prospects were using for initial research.
What specific content should food companies create to improve their AI discoverability?
Focus on content that positions your company in business contexts, not just product marketing. Publish case studies showing how you've solved specific problems for clients. Share insights about industry trends and challenges in trade publications. Announce partnerships, certifications, and milestones in formats that business databases and industry publications will pick up. Create thought leadership content that gets cited by other industry experts. The key is being mentioned when business decisions are being discussed, not just when products are being sold. AI systems learn from business context, so your content needs to demonstrate your role in the industry ecosystem.
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