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A lot of SaaS pricing works by locking specific features behind specific tiers — the cheaper plan gets a stripped-down feature set, and the more expensive plan unlocks the "real" product. AI Studio Pro's pricing works differently: every paid tier unlocks the full set of tools — the Analyser Editor, Content Scorer, Bulk Improver, Bulk Update Agent, the Agentic Planner, and the rest — with the tiers instead differing purely on usage volume. That's a meaningfully different value proposition, and understanding what the volume limits actually measure is useful before choosing a tier.
There's a Free tier, then three paid tiers at $5, $7, and $9 per month. Each tier includes a monthly post allowance and an AI word allowance: the Free tier includes 2 posts and 5,000 AI words per 30 days; Tier 1 includes 10 posts and 100,000 AI words; Tier 2, the most popular tier, includes 20 posts and 200,000 AI words; and Tier 3 includes 30 posts and 500,000 AI words. The jump in included AI words between tiers is substantial — the Free tier's 5,000 words is enough to test the product on a single short piece, while even the entry paid tier's 100,000 words supports meaningfully more regular use.
"AI words" refers to the volume of text an AI action actually generates or processes as part of completing it — not simply the length of the finished post sitting in your content library. A click-to-fix action that rewrites a single flagged keyword instance uses a comparatively small amount of AI words, since the action is narrow and bounded. A full Agentic Improve pass rewriting an entire post uses considerably more, since the AI is processing and regenerating substantially more text in that single action. This is part of why the pricing gap between AI Studio Pro and tools built around always generating full-length content from scratch is as large as it is — many of the most useful actions in AI Studio Pro are deliberately narrow, bounded fixes rather than full regenerations, and narrow actions cost less to run, which is reflected directly in how much of the monthly allowance they consume.
Alongside the AI word allowance, each tier also limits the number of posts that can be actively worked on per 30-day cycle. This exists as a separate dimension from word volume because the two don't always move together — a team doing frequent, small, targeted fixes across many different posts has a different usage pattern than a team doing occasional, deep, comprehensive rewrites of a small number of posts, and tracking both dimensions gives a more accurate reflection of actual usage than either limit alone would.
Rather than guessing which tier fits, the Free tier is specifically useful for this decision: running a handful of real actions on real content — a full score-and-fix session, a meta generation, an internal linking pass — gives a concrete sense of how much of the word allowance a typical editing session actually consumes, which is far more reliable than trying to estimate usage in the abstract before ever using the product. A team doing occasional, light content maintenance will likely find Tier 1 more than sufficient; a team running frequent bulk operations across a large content library will more quickly find value in Tier 2 or Tier 3's larger allowances.
Feature-gated pricing models create an awkward long-term dynamic: as a team's needs grow, they often need a specific feature that happens to sit in a higher tier, forcing an upgrade decision driven by a single feature rather than genuine overall usage. Usage-based pricing, where every tier includes the full toolset, avoids that specific friction — the upgrade decision is a straightforward question of whether current usage volume fits the current tier, not a negotiation over which specific capabilities are worth paying more to unlock.
Because both posts and AI words reset on a 30-day cycle rather than accumulating indefinitely, a team's usage pattern within a given month determines what's available for the rest of that cycle. Understanding this rhythm matters for planning larger projects — a substantial bulk refresh project spanning dozens of posts is worth timing deliberately around the start of a billing cycle, when the full monthly allowance is freshly available, rather than starting it partway through a cycle already partially consumed by other work.
It's worth returning to why the word-based allowance goes as far as it does at these price points specifically. Many competing tools are built primarily around full-length content generation — every action produces a complete, lengthy piece of new text, which is inherently more resource-intensive than a narrow, bounded fix. Because a meaningful share of AI Studio Pro's most-used actions are deliberately narrow — fixing one flagged keyword, generating one meta description, drafting one missing section rather than an entire new article — the same monthly word allowance stretches across considerably more individual actions than it would if every single action were a full-length generation, which is a real, structural reason the pricing can sit where it does rather than simply being an aggressive promotional discount.
Kaysar Kobir is the founder of TechsGenius and a digital marketing expert with 8+ years of experience helping businesses grow through SEO, PPC, and AI-powered marketing strategies. He has worked with clients across 30+ countries.