How it works

Each AI interaction in Turtl has a real-world cost based on underlying token usage (OpenAI tech).

How it works

We've simplified this into a clear credit model:

Feature	Avg. Credit Use
Chat (Ask Hatch for recommendations)	16 credits / query
Smart Layouts	1.74 credits / page
Write / rewrite	0.7 credits / request
Translations	1.74 credits / page
Image generation	1 credit / image
Image editing	3 credits / edit
PDF Pages	10-page document → 27.84 credits 30-page document → 83.52 credits 50-page document → 139.2 credits

This lets us price based on value and volume, and based on actual usage.

Three Tiers. Three Growth Stages.
One Clear Path.

Adopt AI

_{40,000 credits / year}

Best for teams who want to create better content, faster.

Value point: Increase customer engagement by 120%. This plan is designed for teams who want to bring their existing content into Turtl and structure it into high-performing, brand-consistent experiences, without jumping straight into full AI automation.

Use Cases: Content production, sales enablement, content repurposing, increase engagement, brand governance.

Grow AI

_{150,000 credits / year}

Best for teams looking to scale revenue intelligence.

Value point: Increase your pipeline by 25%. Enables high-volume use of Hatch across creation, content writing assistance (translations, summarisation, etc), generative media and insight generation.

Use Cases: Content production, demand gen, lead generation, sales enablement, personalization, localization, ABM, optimization.

Scale AI

_{250,000+ credits / year}

Enterprise-level content operations, best for companies orchestrating revenue content at scale.

Value point: Increase your ROI by 11x. Powering global rollout, personalization at scale, multilingual output, and revenue intelligence.

Use Cases: Content production, ABM & personalization, sales enablement, multi-region demand gen, customer marketing, GTM performance