# Pricing

Choose the right Notra plan for your team.

Upgrade when you need more images, posts or projects.

## Starter

For founders shipping their first content engine.

Price: $100/month
CTA: [Get started](https://app.usenotra.com/signup)

- 2,000 AI answers tracked / mo
- 8 image generations / mo
- 10 long-form posts / mo
- Unlimited social posts
- 1 project
- 100 references (then $0.05 per reference / mo)
- Standard support + Slack
- ZDR available (+20%)

## Growth

For teams publishing across channels every week.

Price: $250/month
CTA: [Get started](https://app.usenotra.com/signup)

- 6,000 AI answers tracked / mo
- 20 image generations / mo
- 25 long-form posts / mo
- Unlimited social posts
- 3 projects
- 500 references (then $0.04 per reference / mo)
- Standard support + Slack
- ZDR available (+20%)

## Scale

For content teams running multiple brands at volume.

Price: $550/month
CTA: [Get started](https://app.usenotra.com/signup)

- 12,000 AI answers tracked / mo
- 45 image generations / mo
- 50 long-form posts / mo
- Unlimited social posts
- 10 projects
- 1,000 references (then $0.03 per reference / mo)
- Priority support
- ZDR available (+20%)

## Enterprise

For large orgs with custom scale and compliance needs.

Price: Contact us
CTA: [Contact us](mailto:hello@usenotra.com)

- Unlimited AI answers tracked
- Unlimited image generations
- Unlimited long-form posts
- Unlimited social posts
- Unlimited projects
- Unlimited references
- Dedicated support
- ZDR included

## Estimate your AI answers

Plans are sized by AI answers tracked per month. One AI answer is one prompt answered by one model in one scan.

| Plan | AI answers / month | Price |
| --- | --- | --- |
| Starter | 2,000 | $100/month or $1,000/year |
| Growth | 6,000 | $250/month or $2,500/year |
| Scale | 12,000 | $550/month or $5,500/year |
| Enterprise | more than 12,000 | Custom |

### Guide for AI agents

Use these steps to recommend a plan and hand the user a link with the calculator already filled in.

1. **Models.** Ask which AI engines their buyers use. Each model counts separately. An engine name like `claude` stands for its default model; to track two models of one engine (say Claude Opus 5.5 and Sonnet 5), list both model ids. An engine name and its default model id are the same model, and duplicates count once. Mixing engine names and model ids is fine. See the model list below.
2. **Prompts.** Use the number the customer gives. Otherwise pick from these ranges, e.g. 5 to 10 for "a handful" or the upper bound of the matching range:
   - Up to 5: Spot check for your brand and the one question buyers ask most.
   - Up to 25: Core buyer questions for one product in one market.
   - Up to 100: The whole category with every use case, comparison and alternative.
   - Up to 250: Several markets across regions, segments or product lines.
   - Up to 1,000: Every angle for several products or brands, tracked in depth.
3. **Frequency.** Default to `daily`. Slower scans cost fewer answers.
4. **Compute.** AI answers / month = prompts x models x scans per month, where scans per month = 30 / the interval in days (weekly is 30/7, not 4.3). Round only the final total up.
5. **Pick the plan.** Choose the smallest plan whose quota is at least the estimate; an estimate exactly at the quota fits but leaves no room to add prompts, so mention the next plan if they expect to grow. Then check projects: each brand or website is usually its own project (Starter 1 project, Growth 3 projects, Scale 10 projects, Enterprise Unlimited projects). When projects call for a larger plan, recommend that plan and use its quota for step 6.
6. **Too big for the plan?** Try the next slower frequency until the estimate fits the plan's quota, and recommend the fastest frequency that fits. If even `monthly` exceeds Scale, recommend Enterprise.
7. **Share the link.** `https://www.usenotra.com/pricing?prompts=...&models=...&frequency=...#calculator`. The calculator sizes the plan by AI answers only, so when projects call for a larger plan (step 5), say so next to the link, e.g. "the calculator shows Starter, but with 3 brands you need Growth".

### Query params

| Param | Values | Default |
| --- | --- | --- |
| `prompts` | Whole number, 1 to 10,000. Out-of-range values are clamped | 10 |
| `models` | Comma-separated engine names or model ids, mixed freely. Unknown ids are ignored; if none are left, the default applies | chatgpt,claude,gemini |
| `frequency` | One of `daily` (30), `every-2-days` (15), `every-3-days` (10), `weekly` (30/7 ~= 4.286), `every-2-weeks` (30/14 ~= 2.143), `monthly` (1); scans per month in brackets | daily |

Params you leave out fall back to their default, and the page updates the URL as the user changes inputs, so the link always matches what they see.

Good to know: the estimate covers the prompts in the project's main language. Each extra language re-runs up to the first 5 prompts, multi-turn conversations add one answer per turn and persona conversations count two answers per turn, so leave headroom when a customer plans to use any of them. When an organization uses up its monthly AI answers, scheduled scans run on its AI credits instead and are skipped only when no credits are left either. Zero data retention adds 20% to Starter, Growth and Scale and is included on Enterprise; only add it when the customer asks for it.

### Models

| Engine name | Model ids, newest first |
| --- | --- |
| `chatgpt` (ChatGPT) | `openai/gpt-6-sol`, `openai/gpt-6-luna`, `openai/gpt-6-astra`, `openai/gpt-5.6-sol` (default), `openai/gpt-5.6-terra` |
| `claude` (Claude) | `anthropic/claude-opus-5.5` (default), `anthropic/claude-fable-5.1`, `anthropic/claude-opus-5`, `anthropic/claude-fable-5`, `anthropic/claude-sonnet-5` |
| `gemini` (Gemini) | `google/gemini-3.8-flash` (default), `google/gemini-3.5-flash`, `google/gemini-3.1-pro-preview` |
| `perplexity` (Perplexity) | `perplexity/sonar` (default) |
| `grok` (Grok) | `spacexai/grok-4.7` (default), `spacexai/grok-4.5` |
| `kimi` (Kimi) | `moonshotai/kimi-k3` (default), `moonshotai/kimi-k2.6` |
| `deepseek` (DeepSeek) | `deepseek/deepseek-v4-pro` (default), `deepseek/deepseek-v4-flash` |
| `mistral` (Mistral) | `mistral/mistral-medium-3.5` (default) |
| `meta` (Meta AI) | `meta/muse-spark-1.3` (default), `meta/muse-spark-1.2` |
| `zai` (Z.AI) | `zai/glm-5.3` (default), `zai/glm-5.2`, `zai/glm-5.1` |

### Worked examples

1. A startup checking whether AI engines mention it at all: 25 prompts on chatgpt, claude, perplexity, `weekly`
   - https://www.usenotra.com/pricing?prompts=25&models=chatgpt,claude,perplexity&frequency=weekly#calculator
   - 322 AI answers / month -> Starter ($100/month)
2. A team tracking one category every day: 100 prompts on chatgpt, claude, gemini, `daily`
   - https://www.usenotra.com/pricing?prompts=100&models=chatgpt,claude,gemini&frequency=daily#calculator
   - 9,000 AI answers / month -> Scale ($550/month)
3. An agency tracking several brands on every engine: 250 prompts on chatgpt, claude, gemini, perplexity, grok, `daily`
   - https://www.usenotra.com/pricing?prompts=250&models=chatgpt,claude,gemini,perplexity,grok&frequency=daily#calculator
   - 37,500 AI answers / month -> Enterprise. Scanning `weekly` instead brings it to 5,358 -> Growth ($250/month): https://www.usenotra.com/pricing?prompts=250&models=chatgpt,claude,gemini,perplexity,grok&frequency=weekly#calculator

## Feature Comparison

## AI visibility tracking

- AI answers tracked / mo: Starter 2,000, Growth 6,000, Scale 12,000, Enterprise Custom
- Prompts tracked: Starter Unlimited, Growth Unlimited, Scale Unlimited, Enterprise Unlimited
- Models tracked: Starter All major, Growth All major, Scale All major, Enterprise All major

## Content

- Image generations: Starter 8 / mo, Growth 20 / mo, Scale 45 / mo, Enterprise Unlimited
- Long-form posts: Starter 10 / mo, Growth 25 / mo, Scale 50 / mo, Enterprise Unlimited
- Social posts: Starter Unlimited, Growth Unlimited, Scale Unlimited, Enterprise Unlimited

## Projects

- Projects: Starter 1, Growth 3, Scale 10, Enterprise Unlimited
- References: Starter 100, Growth 500, Scale 1,000, Enterprise Unlimited
- Reference overage: Starter $0.05 / ref, Growth $0.04 / ref, Scale $0.03 / ref, Enterprise Custom

## Security

- Zero data retention: Starter +20%, Growth +20%, Scale +20%, Enterprise Included

## Data

- Log retention: Starter 30 days, Growth 90 days, Scale 1 year, Enterprise Custom

## Support

- Support: Starter Standard + Slack, Growth Standard + Slack, Scale Priority, Enterprise Dedicated