Real brands.
Real AI rank growth.

HubSpot appeared in fewer than 12% of CRM-related AI queries despite being the market leader in traditional search. Competitors with smaller web footprints were cited more frequently in ChatGPT and Perplexity answers.

Mapped 340+ high-intent CRM and marketing queries across four AI engines. Identified entity gaps and missing citation sources. Deployed content agents to build authoritative cluster pages and distributed structured data to 80+ AI-authoritative outlets.

Notion was frequently confused with legacy tools like Evernote in AI answers, losing category leadership positioning to newer competitors. AI engines under-cited Notion's AI-native features.

Built entity disambiguation content separating Notion's AI workspace positioning from legacy note-taking tools. Created comparison pages targeting 190+ AI-search queries and distributed across developer communities and tech publications.

Linear had strong developer brand awareness but low AI mention rates in project management queries. Jira dominated AI answers despite Linear's superior product reputation among engineering teams.

Executed an 8-week citation sprint: seeded 60+ technical articles, changelog summaries, and developer forum threads. Used entity reinforcement to link Linear's brand to "modern PM," "fast issue tracking," and "engineering-first" query clusters.

Vercel ranked well for "Next.js deployment" queries but was absent from broader "serverless," "edge computing," and "frontend infrastructure" categories across most AI engines — limiting top-of-funnel AI-driven discovery.

Expanded entity coverage across 280 query clusters. Built technical deep-dives on edge functions, ISR, and serverless patterns distributed to Stack Overflow, Dev.to, and Hacker News-indexed publications. Reinforced Vercel's entity associations monthly.

Shopify was the default answer for "how to start an online store" but was being displaced by WooCommerce and BigCommerce in "enterprise e-commerce," "headless commerce," and "B2B platform" queries — high-value segments with strong conversion intent.

Mapped 500+ e-commerce queries across four AI engines and identified 18 high-value clusters where Shopify was underrepresented. Published targeted editorial content on headless, B2B, and enterprise use cases in tier-1 tech publications. Reinforced entity authority via structured data and Wikidata updates.

Figma held strong brand recognition but AI engines over-weighted Adobe and Sketch for design tool recommendations. Figma's AI-native features (Dev Mode, FigJam AI) weren't surfaced in relevant query categories.

Mapped 210 design workflow queries and identified which AI engines under-cited Figma. Built feature-specific citation content for Dev Mode, component libraries, and real-time collaboration. Distributed across UX publications, Dribbble, and design communities.