ENTERPRISE
Enterprise — Category Leadership
When a user asks ChatGPT about your category, your brand should be cited first. Enterprise is the dedicated-team programme for fintech, crypto and regulated industries where AI visibility moves real pipeline.
Enterprise is the dedicated-team programme that pairs everything in Scale with quarterly original research, tier-1 digital PR, site-wide schema engineering, and a regulatory monitoring layer for fintech and crypto — designed for brands competing for the first AI citation in their category.
Best fit: Fintech, crypto, and regulated industries · Brands with AI-visibility-to-pipeline economics that justify the spend · Companies running a dedicated AEO/GEO function in-house
Quick Facts
| Parameter | Value |
|---|---|
| Monthly fee | $8,900 USD · 365,000 UAH |
| Minimum term | 6 months |
| AI platforms tracked | 9 — full coverage including regional engines |
| Queries monitored | 100+ |
| Dedicated team | Strategist + editor + technical SEO + accountable PM |
| Original research | 1 industry report / quarter (35–50 pages) |
| AEO pages / month | 8 (pillar, comparison, deep-dive guides) |
| Regulatory monitoring | Weekly read on MiCA / GENIUS Act / EBA / SEC moves |
| Niche multipliers | Crypto/fintech ×2.0 ($17,800) · SaaS ×1.15 ($10,250) |
What does the dedicated team look like?
A named strategist, content editor, technical SEO engineer, and accountable project manager — yours full-time. Add a regulatory reviewer for fintech and crypto.
Enterprise is a dedicated-team engagement, not an account-on-rotation. Your strategist, editor, technical SEO and PM allocate the bulk of their week to your engagement and are reachable in your dedicated Slack channel during business hours.
The strategist is responsible for the quarterly query universe (which 100+ queries we track and why) and the share-of-voice trajectory. The editor owns the 8-pages-per-month production calendar plus the quarterly research report. Technical SEO owns site-wide schema engineering and the AI-crawler delivery layer. The PM owns the calendar, the reporting cadence and the C-level executive sync.
For crypto and fintech engagements we add a regulatory reviewer who checks every published page against current MiCA, GENIUS Act, EBA and SEC positioning — and re-checks when those move.
Why is original research a separate Enterprise deliverable?
Because reports become primary sources AI cites for years. One well-sourced industry report per quarter shifts the citation graph permanently in your favour.
AI systems weight primary sources heavily — original data, industry surveys, multi-year benchmark studies. A single 40-page industry report, properly sourced and properly distributed, becomes a citation magnet. We have seen reports cited continuously for 18+ months across ChatGPT, Perplexity and Google AI Overviews.
Production includes data design (what we measure and why), survey or dataset assembly, drafting and editing, design and PDF production, schema markup of the digital edition, and a structured launch into AI-crawled distribution channels. We typically spend 60–90 hours per report across the team.
One per quarter is the right cadence. More than that dilutes; less than that and topical authority drifts.
What is the regulatory monitoring layer?
A weekly review of crypto, fintech and adjacent regulatory moves, with same-week updates to any client page where outdated information would create AI citation risk.
Crypto and fintech content rots fast. MiCA Phase 2, the GENIUS Act, EBA opinions and SEC enforcement actions all reshape what's true about a topic — and AI systems happily cite outdated answers.
The monitoring layer flags every relevant regulatory move within 5 business days, identifies which Enterprise client pages need an update, and ships the update under the AEO recipe. We also annotate pages with explicit "as of [date]" markers to help AI systems weight currency.
For non-regulated verticals this layer is reduced to 1 hour per month of competitive monitoring.
Frequently asked questions
Do you guarantee top-50 share of voice?
We publish expected ranges (40%+ on top-50 category queries by month 6) but cannot guarantee specific placements — AI is probabilistic.
Track record across regulated-vertical Enterprise engagements: 8 of 10 reach 35%+ share of voice by month 6, 5 of 10 reach 50%+ by month 9.
What is the typical Enterprise contract structure?
6 months minimum, USD or UAH, 100% upfront for month one, monthly thereafter. 10% discount for 6-month prepay.
Can we run Enterprise without an in-house content team?
Yes — most Enterprise engagements provide the content function end-to-end. Your team contributes subject-matter expertise via interviews.
What does crisis management mean here?
Same-day response when AI systems return factually wrong or outdated information about your brand, with a remediation plan inside 48 hours.
Want to scope this for your case?
A 30-minute discovery call is enough to know whether this package fits — and whether the niche multiplier lands the price where you want it.