Pricing built for agencies
Run pitch and client workspaces under one roof, white-label the reports, and trade engines for prompts on a single conserved budget — same plans, agency-shaped.
Just one brand? See brand pricingWeb-UI engines · from 1 credit
API models · weighted by cost
Each tier's fixed credit budget stretches further with lighter models. Most Web-UI scans cost 1 credit (AI Overviews & AI Mode cost more to capture); an API model costs more still, weighted by its measured cost — so your mix sets how many prompts each plan monitors.
Get Found
Run one client brand, end-to-end
or save ~10% billed quarterly
- Monthly 1:1 strategy session
- Pitch + client workspaces
- 10 competitors tracked
- 25 content briefs / mo
- Content briefs + benchmarking
Get Cited
Scale across your client roster
or save ~10% billed quarterly
- Everything in Get Found
- Biweekly 1:1 strategy sessions
- Pitch + client workspaces
- 25 competitors tracked
- 80 content briefs / mo
- Co-citation network
- Priority support
Get Chosen
White-label the whole practice
or save ~10% billed quarterly
- Everything in Get Cited
- Weekly 1:1 strategy sessions
- Pitch + client workspaces
- 50 competitors tracked
- 200 content briefs / mo
- White-label reports
- Full API access
Custom
Built around your agency
Unlimited credits
Enterprise API models:
Claude Opus 4.872 cr / scan
- Everything in Get Chosen
- Dedicated strategist + SLA
- SSO / SAML
- Custom integrations
More than a dashboard
The software finds the gaps. The strategist helps you close them.
A real strategist, not a chatbot
Every plan includes recurring 1:1 sessions — monthly on Get Found, up to weekly on Get Chosen — to turn the data into moves.
White-label the whole thing
Get Chosen and Custom ship client-ready, white-labeled reports — your brand on the work, our engine underneath.
Built around your program
Custom adds a dedicated strategist, SSO/SAML, custom integrations and an SLA — sized to your team.
Compare plans
| Feature | Get Found | Get CitedRecommended | Get Chosen | Custom |
|---|---|---|---|---|
| Conserved scan budget / mo | 1,150 | 3,550 | 8,500 | Unlimited |
| Prompts at 4 engines | 287 | 887 | 2,125 | Unlimited |
| AI engines available | All 9 | All 9 | All 9 | All 9 |
| Competitors tracked | 10 | 25 | 50 | Unlimited |
| Content briefs / mo | 25 | 80 | 200 | Unlimited |
| 1:1 strategy sessions | Monthly | Biweekly | Weekly | Dedicated |
| Revenue attribution | ||||
| GSC + GA4 + Slack | ||||
| Co-citation network | ||||
| Anomaly alerts + benchmarking | ||||
| White-label reports | ||||
| Full API access | ||||
| SSO / SAML | ||||
| AI model targeting |
Frequently asked questions
How does the engine ⇄ prompt budget work?
Each plan grants a fixed monthly scan budget. You choose how to spend it: track more AI engines for broader reach, or fewer engines for deeper prompt coverage. The allowance updates live — prompts = budget ÷ engines — and the server enforces exactly what the page shows.
Can I track all the AI engines?
Yes — every paid plan can sample all major engines (ChatGPT, Gemini, Perplexity, Claude, Copilot, Grok, DeepSeek, and Google's AI Overviews + AI Mode). You freely choose how many to track (one, a few, or all nine); the budget, not a hard engine gate, is what scales between plans. Custom adds model-level targeting on top.
Do you offer a trial?
Get Found includes a 14-day trial (card required, cancel anytime). Get Cited, Get Chosen, and Custom start paid — book a strategy call first if you'd like to see it live.
Monthly or quarterly billing?
Both. Quarterly billing saves roughly 10%. No annual lock-in and no minimum term — change or cancel at the next cycle, and your data is never deleted on downgrade.
What happens if I add engines mid-cycle?
Your conserved budget is pooled across your workspaces. Adding engines lowers the prompt allowance per the same budget; we block adding work that would exceed the budget rather than silently overcharging you.
How does revenue attribution work?
Install our one-line tracking script, connect Google Analytics 4, and HyperFound attributes AI-referred visits and conversions back to the originating engine using referrer, UTM, and user-agent signals.