For marketing teams and the agencies serving them, Ranked AI is a managed AI SEO platform that tracks brand visibility and ranking across AI answer engines, offered white-label so agencies can resell it under their own brand to client accounts.
Presence & Market Position
#31 of 141
Traditional SaaS Going Headless
▼ 31 60-day move
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
Ranked AI is positioning itself as a managed AI-search and PPC operation for agencies and businesses that want white-label software plus hands-on implementation. Its public presence centers on visibility across AI answer engines, tracked search performance, and agency delivery under the reseller’s brand. The available conversation record is still developing, with no matched practitioner workflows or comparison discussions on file. Its ranked footprint places it in the AEO set, while the company’s website emphasizes service delivery, human review, and reporting alongside its API, MCP, and SDK surfaces.
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Business Profile
Ranked AI grew out of a traditional SEO and PPC service business founded by Harry Strick, bootstrapped without outside funding, based in Miami. By its own account it scaled from roughly 1,000 active clients in 2020 to 3,500 by 2023 as a managed-service agency, then added PPC in 2024 and launched a software platform in 2025 before moving into AI-answer-engine tracking in 2026. It now describes serving more than 5,000 businesses and runs with a team of roughly 37, having stayed independent and self-funded while expanding from an agency into a hybrid software-plus-managed-service model.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
Ranked AI ships a documented API, SDK, and MCP server connecting the platform to assistants like ChatGPT, Claude, and Cursor. The MCP server exposes 22 tools split between read access, covering keyword rankings, audits, backlinks, and analytics, and write actions, covering project creation, keyword management, and content approval, letting an agent both pull SEO data and execute changes. Access to the write and content-pipeline tools scales with account tier, with self-serve projects retaining a lighter tool set than managed accounts.
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