Stay in control of the story
AI tells about you.
Get AI brand representation control that shows whether AI engines surface you in your category, how prominently and favorably, then certifies results.
Everything you need
to monitor, govern, and certify
Track competitors and explain the revenue
Competitive analysis: Compare against competitors and see where you rank when customers ask AI in your category.
ROI insights: See how fixes and visibility gains map to revenue, so you can explain the impact to your business.
Follow clear steps to a verifiable badge
Certification: Work through certification requirements one by one, with clear guidance on what’s still missing.
Badges: Earn a signed, verifiable badge you can embed anywhere, with proof built into every view.
Manage control, audit, and access together
Governance: Route approvals and set who can change and see what, with controls that scale with your team.
Audit & compliance: Log every action automatically and export an audit-ready compliance report on demand.
Identity & access: Provision and remove users automatically, enforce single sign-on, and restrict access by IP.
Data protection: Get enterprise-grade data handling, encryption, and controls with a full audit trail.
See every child account at a glance
Enterprise management: See every child account’s status at a glance, while each one runs independently.
Track your AI representation in one score
AI Representation Score (ARS): See one score for how often AI surfaces you, how prominently, and how favorably.
Unified score dashboard: See AI quality, trust, and representation combined into a single score, with your certification badge.
Built for teams
accountable for AI accuracy
Business
Monitor how AI describes your business, benchmark against competitors, and prove accuracy over time, no enterprise governance program required.
Explore our solution for businesses
Enterprise
Get the full governance layer: monitoring, certification, approvals, audit, and identity controls to prove accurate AI representation to your board.
Explore our solution for enterprisesHow all three layers fit together
Discover
Discover is the foundation beneath Trust. It scans your site, finds your structured data, and fixes the schema errors that block AI from reading you correctly.
Learn more
Trust
Once AI can read your site, Trust measures whether AI gets your facts right when customers ask, judged against your verified profile.
Learn more
Control
Control is the next step up. It monitors how AI represents you over time and certifies that your data stays accurate, so credibility holds as things change.
Run your free
AI visibility audit today.
Be among the first to know, and the first to fix it.
Common questions
Control is LLMSource’s governance layer. Earlier layers make your site readable and credible to AI. Control goes further: it tracks how AI describes your business, compares you to competitors, and gives you sign-off steps, audit records, and certification to back your claims. Its main output is the AI Representation Score, which shows whether AI mentions you when people ask about your category, how prominently, and how favorably.
AI now answers customer questions about your business, and it doesn’t always get it right. A wrong answer, stated with total confidence, can send customers to a competitor or misstate something your legal team cares about. AI brand governance tracks how you’re described over time and shows how you compare to rivals. It also gives you an audit record for a board or an auditor: an immutable log of every login, fix, approval, and certification event.
Control is for teams accountable for how AI describes their business: the ones who need to show a board, a client, or an auditor that the answers are accurate and someone is watching. It starts at Business and is complete at Enterprise. Business covers monitoring: tracking how AI describes you, benchmarking, and certification. Enterprise adds governance: sign-off on sensitive changes, audit records, and stricter data controls. Together, they make accuracy provable.
Yes. Control isn’t a starting point. Discover makes your site readable by AI. Trust checks how accurately AI answers real customer questions about you, measured against the facts you’ve verified. Control tracks whether AI engines surface you in your category, how prominently, and how favorably, then certifies what it finds. That’s Control closing the loop after Discover and Trust.
Control starts reading how AI describes you as soon as monitoring begins, but trends take a little longer to show. Since the AI Representation Score comes from live answers that shift between runs, it’s worth watching the direction over a few runs rather than judging one snapshot.
No, and we wouldn’t claim it does. No platform can force ChatGPT or Claude to say something specific. What Control does is track how you’re described, flag it when that changes, and give you the evidence and approvals to fix it. Real accuracy comes from clean data underneath, which Discover finds, Trust verifies, and Control keeps watch on.
No. Control monitors and governs. It doesn’t edit your site. On Enterprise, it adds guardrails: sensitive actions need a second approval, and policy rules can block a deployment that would drop your AI Quality Score below your threshold. Every approval is logged, so you stay in control of what ships.
Agencies don’t get Control by default. For $199/month, add the AI Representation Score to see how you and your clients show up in AI answers. Benchmarking and certification need Business or Enterprise. Governance, including second-approver sign-off on sensitive actions and policy rules that can block a deployment, is Enterprise only.
On Enterprise, you choose where your organization’s data is stored. Each organization’s data is encrypted with its own keys, and accounts are added or removed automatically through your identity provider. Business plans can add single sign-on and PII masking, which detects and masks sensitive personal information in schema and crawl outputs.