Enterprise
AI reputation, managed at scale.
For organisations with many brands, markets and languages. Monitor what AI says about all of them, be alerted when it goes wrong, and connect the data to the systems you already run.
Reputation intelligence
Protect, compete, prove.
Three capabilities that go beyond measuring visibility.
Protect
AI reputation risk alerts
AI assistants repeat what they find, including facts that are wrong or years old. GenengineAI compares every answer with the facts you have confirmed and tells you the moment an engine starts saying something false, outdated or damaging.
- Alerts for wrong facts, outdated facts, damaging claims and sudden drops
- Each alert shows the answer, the engine and the source it relied on
- No false alarms: a claim must repeat before it alerts
- By email, or in Slack and Microsoft Teams on Enterprise
Outdated fact about Example Co
Gemini ยท "Who runs Example Co?"
"Example Co is led by chief executive J. Morgan."
- Your confirmed fact
- Chief executive changed in March 2026
- Seen in
- 14 of 20 runs
- Source relied on
- A 2024 trade directory listing
- Suggested fix
- Update the directory listing and your About page
Compete
Competitor recommendation intelligence
Knowing a rival is named more often is not enough. GenengineAI shows why: the sources AI leans on when it recommends them, and the ones where you are missing.
- The gap between you and each competitor, by question and engine
- The sources behind their recommendations
- A ranked list of where to earn a mention next
| Source AI relies on | Rival Co | You |
|---|---|---|
| Software review site | Cited | Missing |
| Industry comparison article | Cited | Missing |
| Accountancy trade magazine | Cited | Cited |
| Community forum thread | Cited | Missing |
Rival Co named in 71% of answers. You in 38%.
Prove
Reputation improvement tracker
Log what you did, and GenengineAI measures whether it worked. Every action is compared before and after, and a change only counts when it is larger than the normal variation between runs.
- One log for every fix, article, listing and press mention
- Before and after, with confidence ranges
- A report you can show your board, or your client if you are an agency
| Action | Before | After | Result |
|---|---|---|---|
| Corrected chief executive on directory | 30% accurate | 85% accurate | Improved |
| Published comparison guide | 38% named | 52% named | Improved |
| Press release on new office | 41% named | 43% named | No measurable change |
What is included
Everything in Scale, plus
| Coverage | Monitoring across multiple brands, markets and languages, with volumes agreed to fit your organisation |
| Risk | Advanced AI reputation risk alerts, with your own rules, severity levels and escalation contacts |
| Competitors | Competitor recommendation intelligence across every market you track |
| Integrations | Salesforce, HubSpot, Slack, Microsoft Teams and Power BI |
| Data | API access to your results |
| Security and control | Single sign-on, audit logs and a service level agreement |
| Service | A dedicated customer success manager |
| Reporting | Executive-level reports and automated alerts |
Integrations
Your data, where your team works.
Salesforce and HubSpot
Compare changes in AI visibility with leads and sales.
Slack and Microsoft Teams
Reputation risk alerts in the channel your team already watches.
Power BI
Organisation-wide reporting on AI reputation, visibility and trends.
API access
Pull GenengineAI data into your own dashboards and internal systems.
Integrations, API access and single sign-on are included in Enterprise and set up with you during onboarding.
Pricing
From US$2,000 a month.
Most Enterprise customers pay between US$2,000 and US$5,000 a month, depending on the number of brands, markets, languages and questions tracked. Larger roll-outs are quoted individually. Annual agreement.
Smaller team? See Starter, Growth and Scale.