Enterprise requirements
Market and brand separation
Projects should keep brands, countries, languages, competitors, and prompt sets distinct. A global roll-up is useful only when the underlying denominators remain inspectable.
Prompt governance
Require prompt ownership, source labels, groups, immutable or versioned wording, approval status, and a stable panel for longitudinal reporting.
Answer-level evidence
Every metric should lead back to response status, full answer, brand role, Sentiment, and Citation URLs where available.
Access and administration
Evaluate roles, workspace separation, user lifecycle, client access, audit history, authentication, and procurement requirements. Mark unverified controls as unknown.
Data portability
Confirm raw response export, normalized fact export, API availability, retention, deletion, and plan caps in writing.
Operating workflow
The platform should help assign findings to content, website, reputation, product, and external-source owners—not only generate a scorecard.
Products to evaluate
Reverified August 6, 2026 from first-party product information. This is an unranked shortlist, not an independent test.
| Product | Verified starting scope | Enterprise question to confirm |
|---|---|---|
| UnderAI GEO Workspace | Brand Workspaces, market-specific Tracking Projects, competitors, Prompt Groups, daily results, role-based access, Answer Snapshots, Sentiment, and Citations | Public SSO, API, export, retention, plan caps, and list pricing are not documented |
| Semrush AI Visibility Toolkit | AI visibility monitoring, research, competitor, and site-audit workflow | Multi-market governance and plan-level data access |
| Profound | Prompt-based AI visibility product with broader enterprise offering beyond Starter | Exact platform, prompt, workspace, and commercial entitlements |
| Scrunch | Core and enterprise AEO/GEO product tiers | Which platforms and controls are enterprise-only |
| Writesonic GEO Platform | Monitoring plus content, audit, and action workflows | Limits and governance by tier |
| Ahrefs Brand Radar | Search-backed AI indexes plus custom prompt capability | Difference between index discovery and fixed-panel monitoring |
UnderAI belongs in this comparison because it is a working AI Performance Tracking product. Its role is not to sit outside the table as a service CTA.
Run a proof of capability
Use the same small test for shortlisted products:
- import a fixed prompt panel;
- configure one market and competitor set;
- collect the same platforms and dates;
- review failed and successful response states;
- trace one metric to full answers;
- export or otherwise inspect citations and normalized facts;
- reproduce a report for a second user role;
- document product and method differences.
Only make “best” or accuracy claims after a uniform test.
Where UnderAI fits
UnderAI GEO Workspace supports project-scoped monitoring and response evidence. UnderAI’s managed products add prompt research, audit, website and content implementation, Citation Strategy, and retesting when the enterprise needs an operating program rather than software alone.
Reliability requirements exposed by a real run
UnderAI’s July 2026 baseline included both fully observed routes and routes that remained unavailable. The Citation benchmark owns the exact counts; the enterprise requirement is that collection health remains auditable before any executive score is calculated.
At enterprise scale, that is not a footnote. A platform must make collection health auditable before it produces an executive score.
| Reliability control | Procurement evidence to request |
|---|---|
| Scheduled-unit manifest | Every expected Prompt × platform × market × repetition unit |
| Terminal status | Success, failure, empty, excluded, or unavailable—not one blended zero |
| Raw evidence | Full answer and structured source records for successful units |
| Reprocessing trail | Parser version, normalization rule, and immutable raw input |
| Access control | Project, market, role, and client separation |
| Export and deletion | Written scope, retention, format, and plan entitlement |
A proof of capability should deliberately include a failed unit and ask the vendor to trace how it affects every aggregate and export.
Comparison source boundary
The shortlist uses current first-party product information and the enterprise buying task observed on competitor pages. It does not assert that every vendor supports SSO, API, white-label reporting, or a specific retention period. Unknown enterprise controls remain procurement questions. Reverify scope from Semrush, Profound, Scrunch, Writesonic, and Ahrefs Brand Radar.
Frequently asked questions
Is the cheapest platform suitable for enterprise use?
Price matters, but governance, evidence access, support, retention, security, and implementation cost often change the total decision.
Does UnderAI publish enterprise pricing?
No public list pricing is documented. Request a scope and confirm every required entitlement.
Should enterprise teams use one global visibility score?
Use roll-ups for orientation, but preserve market, platform, prompt-group, and response-level denominators.