AI Search Visibility Auditor
Runs the questions a real buyer would ask an AI assistant for your product category, then checks with Claude whether your company actually shows up in the results — and how you compare to competitors who do.
About this case study
Problem: a company can rank well in classic Google search and still be invisible when a buyer asks an AI assistant like ChatGPT or Perplexity for a recommendation — because the sources those answers draw on aren't the same as Google's top results. This tool is a direct extension of a piece I wrote on Medium about exactly that shift ("Google No Longer Decides What You Find in AI Search"). Approach: type in a company and its product category — Tavily runs a fixed set of searches phrased the way a real buyer would ask an AI assistant ("best {category} tools," "top {category} software 2026," and similar), never mentioning the company by name. Claude then checks only what actually came back: does the company appear, how prominently, and which competitors show up instead with concrete, specific descriptions versus generic ones. If nothing relevant turns up for the category, it says so honestly rather than guessing. Result: type in any real company and category above and get back a visibility verdict, the competitors actually visible in that sample, and 2-3 recommendations grounded in the same principles as the article — concrete extractable facts, first-party source authority, and structured content — not generic SEO advice.
Methodology Note
Runs a fixed set of real web searches phrased the way a buyer would ask an AI assistant for category recommendations — never mentioning your company by name. If nothing relevant comes back for the category, the audit says so honestly instead of guessing.
Example: Notion · project management tool
Notion
Notion appears only once across this sample, in a passing list ('the best free project management software, including Jira, Notion, and Trello') with no elaboration on its features or use cases. In contrast, most other tools in these results receive detailed, differentiated write-ups explaining why they rank for specific use cases, leaving Notion largely invisible as a dedicated PM tool.
Who's visible instead
Repeatedly described as best for cross-functional collaboration, enterprise PMOs, and creative teams with proofing features; noted for real-time dashboards, workload management, and new AI Agents/role-based @mentions.
Called out for attractive/colorful visuals, ease of use, and being a strong fit for large non-technical teams, though weaker on Gantt and resource planning per Reddit users.
Consistently positioned as best for software/dev teams, with specific features cited like sprint backlogs, burndown/velocity charts, cumulative flow diagrams, and integrations with GitHub/GitLab/Jenkins.
Praised as an affordable 'does-it-all' platform combining task management, goal tracking, mind mapping, and workflow automation for small-to-mid teams.
Named 'best overall' by TechnologyAdvice, highlighted for use-case templates and visual collaborative experience, plus availability in 9+ languages.
Recommendations
- Publish first-party comparison/use-case content (e.g., 'Notion for project management' guides with concrete workflows, templates, and metrics) since competitors like Wrike and Jira dominate because their own sites and reviewers cite specific features (sprint charts, AI agents, integrations) rather than generic descriptions.
- Get featured with concrete differentiators in aggregator roundups (Zapier, project-management.com, TheDigitalProjectManager) the way ClickUp and Wrike are — currently Notion only appears in a bare list, so pitching editors with specific PM use cases (databases, wikis-as-project-trackers, templates) could earn a detailed entry rather than a passing mention.
- Add structured, extractable facts (pricing tiers, integration lists, specific PM features like Gantt/kanban/automation support) on Notion's own site and help docs, mirroring how Wrike and Jira's official pages are cited with specifics — this structured detail is what AI search appears to lift into recommendations.