AI Representation Audit
Understand how AI systems currently see, summarize, and source your organization
This audit shows how major AI systems currently describe, cite, substitute, or misrepresent your organization. It identifies where weak source-of-truth content, unclear structure, and missing trust signals create risk and gives your team a prioritized roadmap for what to address first.
- See whether AI answers would recommend, ignore, flatten, or misrepresent your organization
- Identify the gaps putting donations, membership, program discovery, and public understanding at risk
- Walk into leadership conversations with evidence, not assumptions
- Prioritize the changes that will improve AI understanding, representation, and trust over time
Why This Matters Now
AI systems are increasingly shaping how people research organizations, compare options, and make decisions before they ever click through to a website.
The risk is not just that your organization gets missed.
The risk is that AI describes you incorrectly, substitutes weaker third-party sources, or compresses your mission into something generic and incomplete. For mission-driven organizations, that affects credibility, engagement, and trust.
The Audit includes:
- AI Representation Snapshot
A clear view of how major AI systems currently describe, cite, and substitute your organization - AI Understanding Summary
What AI appears confident about, where it guesses, and where it gets things wrong - Trust and Clarity Gap Review
Where your website forces AI to infer, flatten, or rely on weaker signals - Source Behavior Analysis
When AI uses your pages, when it prefers third-party sources, and where source-of-truth confusion shows up - Priority Action Plan
The top changes your team should make first, ranked by impact and effort - Ignore-for-Now List
Lower-value work to defer so your team does not waste time on noise - Executive Readout
A concise, board-ready summary and live walkthrough for alignment and next steps
This audit is for organizations that
- Publish substantial content but do not control how AI summarizes it
- Depend on trust to drive donations, membership, participation, or program use
- Need a clearer explanation of AI-related representation risk for leadership
- Want to know what to fix before investing in tools, content production, or technical work
This is not for organizations that
- Want guaranteed rankings, traffic, or citation volume
- Are looking for outsourced content production or technical implementation
- Want a consultant to own the work indefinitely instead of helping internal teams make decisions
Investment
AI Representation Audits are offered as a one-time strategic diagnostic and typically range from $3,500–$6,000, depending on organizational size and content footprint. This work is designed to give leadership and internal teams clarity, not create an ongoing dependency model.
Many organizations use the audit to:
• Align leadership on the real problem
• Prioritize what to fix first
• Decide what can be handled internally
• Determine where outside technical help is actually necessary
