LowFruits vs Planable
Side-by-side trajectory, velocity, and editorial themes.
LowFruits' feed is a beginner SEO blog, not a product changelog.
LowFruits is a keyword-research tool that surfaces low-competition search terms, but the tracked feed is its educational blog. Every recent entry is an evergreen SEO tutorial — beginner keyword research, silo structure, finding low-competition keywords, SEO KPIs — written to attract the tool's target user. No product releases appear.
The cadence is slow and topical (roughly monthly), aimed at ranking for the same low-competition long-tail terms the product helps users find — the content is itself a demonstration of the method. There is no product-development signal here; the arc is organic-search acquisition.
Expect more beginner-to-intermediate SEO guides on the same infrequent rhythm. Nothing in these entries points to a product change.
Planable keeps widening channel coverage while bolting an AI and open-API layer onto its approval calendar.
Planable is a social-media content planning and approval workspace where teams draft, review, and publish across channels. Its recent work runs on two tracks: broadening per-channel format coverage (Facebook Stories, Google Business Profile video, LinkedIn mobile publishing) and building an AI-plus-programmability layer (MCP connector, public API, brand-voice context, AI-written ALT text, AI-search visibility analytics). The core calendar-and-approval loop is stable; new surfaces are being added around it rather than reworking it.
The pattern is Planable moving from a manual approval calendar toward a programmable, AI-assisted hub: nearly every new post surface ships with an AI or automation hook attached. The public API and MCP connector open the product to external tooling and agents, while workspace brand context makes its AI outputs client-specific. Analytics is expanding past measuring your own pages into competitor benchmarking and AI-search visibility.
Expect the remaining channels to pick up the same direct/mobile-publish and AI-generation treatment, and the AI features (brand context, ALT text, visibility) to reach deeper into the composing and reporting flow. The API and MCP surfaces suggest more integration and agent-facing capability rather than a pricing or positioning change.
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