What Hypotenuse AI changed

• Replaced "SEO monitoring" with "SEO & GEO" in the features list and footer.
• Updated the performance tracking section to emphasize "AI discovery" alongside traditional search.
• Reordered the homepage workflow to prioritize "AI auto-enrichment" over "product descriptions."
• Updated links to point to a new "SEO & GEO" feature page.

The competitor is shifting focus from just "monitoring" performance to active "optimization" for both search engines and AI-driven discovery (GEO). This suggests they are positioning their tool to help brands appear in AI search results like Perplexity or ChatGPT, not just Google.

• Added a new AI-first PIM (Product Information Management) system to run catalogs hands-off.
• Launched an AI-first DAM (Digital Asset Management) to organize and edit product imagery.
• Introduced AI agents specifically designed for automated catalog work.
• Added product data enrichment features to fill missing attributes from web searches and spec sheets.
• Added image compliance tools to check if photos meet specific retailer requirements.
• Expanded integrations to include enterprise platforms like Salsify, Salesforce Commerce Cloud, and NetSuite.
• Added SEO and GEO (Generative Engine Optimization) tracking to monitor rankings on Google and Amazon.

The product has shifted from a simple AI writing tool to a comprehensive "System of Intelligence" for e-commerce. By adding product data enrichment, image management, and marketplace monitoring, they are positioning themselves as the central hub for all product information, making their software much harder for customers to replace.

• The main headline now calls the product a "system of intelligence" and an "AI-first PIM."
• Removed the top navigation menu containing links to specific features like data enrichment, SEO, and imagery.
• Removed the "Built for enterprises" section that detailed SOC 2 compliance and team workflows.
• Removed detailed feature descriptions for image standardization, lifestyle scene generation, and retailer guideline checking.
• Removed the footer containing links to pricing, integrations, and specific tool generators.
• Simplified the "what we do" section by removing descriptive text under the main category headers.

The product is moving away from being seen as just a writing tool. By calling itself an "AI-first PIM" (Product Information Management), it is positioning itself as the central system for all product data, which targets larger enterprise customers.