DeepSmith

Marketing, SEO, and content teams have no visibility into how ChatGPT, Perplexity, Gemini, Claude, or Google AI Mode describe their brand, or whether AI sends buyers to a competitor instead. Today they piece together a keyword tool, a separate AI writer, Grammarly, Canva, and a spreadsheet just to track what has been published, as one customer describes. Trackers that do exist only show where a brand is losing but do not produce the content to fix it, and writing tools do not connect back to that data. This leaves teams unable to see which of their own pages AI actually cites, which competitor pages win instead, or what to write next to close the gap.

DeepSmith combines AI search analytics with content production in one workflow. It reports mention rate, citation rate, and share of voice across all five major AI engines, tracks a competitor leaderboard, and monitors competitor sitemaps daily to flag new pages as they publish. It shows exactly which of a brand's own pages get cited and which are ignored, then turns losing prompts, keyword clusters, or competitor pages into write-ready content ideas. From there it produces publish-ready drafts, complete with research, SEO and AEO optimization, internal and external links, and a cover image, grounded in the brand's own products, personas, and voice through a feature called Deep IQ. Finished articles come with repurposed social posts for LinkedIn, X, and newsletters, and the platform supports separate client workspaces for agencies.