AI tool pricing: what to check before you subscribe

AI pricing looks simple and rarely is. The headline says $20 a month, and then the real cost depends on seats, credits, usage tiers, and which model you're actually using. Here's what to check before you enter a card number.

Count the seats, not just the price. Most AI tools price per user, and 'per user' adds up fast when a team of ten 'just wants to try it'. Ask who actually needs an account, and check whether viewers and editors are priced differently. Some tools let you share one account, most don't, and the ones that don't have figured out how to catch it.

Understand the credit economy before you trust any free trial. Many tools give you credits, not usage, and credits burn at different rates for different features. A video tool might charge 10 credits per second of generation, which means your 'free 100 credits' lasts ten seconds of actual video. Estimate the cost of your real workload, then multiply by two, because everyone underestimates.

Check the limits on the plan you actually need. The free tier is usually fine for evaluation, but read the fine print: message caps, upload limits, context windows, export restrictions. We've seen teams build a whole workflow on a free tier, then hit a limit at the worst possible moment and find the paid plan they need costs triple what they budgeted.

Annual billing is a trap and an opportunity. Paying yearly usually saves 15-20%, which is real money, but you're committing before you know if the tool works for you. Our rule: subscribe monthly first, and if you're still using it after two months, switch to annual and save.

Look for the sneaky line items. Overages, API costs, add-ons that aren't included, 'AI features' that require a separate add-on on top of your plan. Notion AI is a good example: you pay for Notion, then pay again for the AI on top. Read the full feature list, not the marketing page.

Finally, know the exit cost. Can you export your data? What happens to your documents and history when you cancel? Tools that hold your work hostage make switching expensive, and that's a cost nobody puts on the pricing page.

The right price isn't the lowest one. It's the price for the usage you actually need, from a tool you can leave if it disappoints. Do the math on real usage before you subscribe, and you'll avoid most of the pain that fills AI pricing threads.

Evaluation checklist

• Map the tool to one job your audience already needs to finish.
• Compare pricing against likely monthly usage, not just the entry tier.
• Include pros, cons, alternatives, and a clear affiliate disclosure.
• Refresh screenshots and prices regularly so search visitors can trust the page.