What Particl changed

• Fixed a typo in the Lululemon example question that previously ended in "co".
• Fixed a typo in the Lululemon example question that previously ended in "R".
• Both examples now correctly display as "What's the best selling top at Lululemon?".

The company corrected broken text in their AI query examples. This makes their product look more professional and shows their AI can handle specific brand questions correctly.

• Replaced two lines of garbled placeholder text with clear, readable questions about Lululemon's best-selling products.
• The new text demonstrates how users can query the AI for specific brand insights.

The website previously displayed garbled, nonsensical text in its AI product research section. Fixing these examples makes the tool's natural language capabilities look professional and functional to potential customers.

• Added a new integration that connects Particl data to Claude, ChatGPT, and other AI clients.
• Replaced a broken "Something went wrong" error page with a full homepage featuring new product messaging.
• Introduced a list of 20,000+ tracked retailers including Amazon, Walmart, and Nike.
• Added specific feature sections for Competitor Research, Product Research, and Assortment Analysis.
• Included a new "Marketing Assets" section to track competitor ads, emails, and social media posts.
• Added social proof with logos from brands like SKIMS, Lululemon, and Stanley.

Particl is moving beyond a standard dashboard. By letting users query retail data through AI tools like Claude and ChatGPT, they are making complex market research much faster and easier for e-commerce teams.