Your Company Has an AI Reputation; Do You Know It?
Corporate Reputation04 Mar, 2026
In what feels like nearly no time at all, AI tools have become a top-five trusted communications channel by the Informed General Public. And while it may not be as desirable as a channel as other traditional channels, it is widely used: more than 2 billion users per month are using Google's AI Search Overviews, ChatGPT has nearly 1.5 billion monthly active users and Claude has recently said it is adding 1 million users per day.
As adoption continues to grow, it creates a dynamic Communications leaders need to more fully understand: AI is a stakeholder that acts as a force multiplier across all your other stakeholders.
Much in the way traditional influencers can shape perceptions and amplify specific narratives, AI can do the same. It is a reputation amplifier.
But how do you know what these LLMs are using to even shape their opinions?
From Framing to Practice: The AI as a Stakeholder Solution
The solution is in applying the same reputation frameworks you use today to AI.
At RepTrak, our model anchors to seven drivers — Products & Services, Leadership, Innovation, Performance, Conduct, Citizenship, and Workplace — and repeatedly asks those questions of stakeholder groups to help companies understand why their reputation scores may be changing.
You can do this of AI, too:
Ask the same questions (and do it more than once). If you want to understand how AI is perceiving you, don’t change the questions. Ask the same ones you already ask your other stakeholders. Because LLMs are known to change their answers, ask multiple times.
Capture AI responses. Each model's outputs reveal the narratives, themes, and weightings it is amplifying to your stakeholders — including what's accurate, what's outdated, and what's missing.
Establish a baseline. Until you start plotting your AI reputation scores, it will be unclear whether it should mirror other stakeholders, outpace them or lag them. Given most frontier models have training dates that are several months old, it is likely your reputation scores will differ, as models will have been trained on older, less information than humans have at the same time.
The result is something communications teams have previously had no systematic way to see: a scored, auditable view of how AI characterizes your company — benchmarked against competitors, tracked over time, and integrated with the stakeholder intelligence they already use to guide strategy.
What Companies Are Finding
When companies run this audit, the findings tend to cluster into recognizable patterns.
Some discover an accuracy gap — the model's characterization reflects who the company was two or three years ago, before a leadership transition, strategic pivot, or rebranding. The content ecosystem simply hasn't kept up, so the AI hasn't either.
Others find an emphasis gap — the model is broadly accurate but systematically overweights a legacy controversy, an older product line, or a single geography that no longer represents the company's full story. LLMs weight content by volume and recency, and an imbalanced content ecosystem produces an imbalanced AI narrative.
The most competitive finding is a distinctiveness gap — competitors show up in LLM outputs with sharper, clearer narratives, because their earned and owned content is more consistent and structured. The company is present in AI outputs, but generic.
In fact, one Australian bank found their AI Reputation Score was more than 22 points lower than their IGP Reputation Score.
Using Reptrak’s AI as a Stakeholder model along with Compass, the bank’s communications leaders were able to understand how those gaps were being created. Compass gave them the ability to see what sources each large language model was using, how those sources changed based on factors, and what the models’ reasonings were for those scores.
The Opportunity Is Still Open
The companies building this discipline now will be hardest to displace later. LLM narratives consolidate over time — the longer a gap sits unfilled, the more it compounds.
Our 2026 Reputation Trends report named AI as a Stakeholder the top priority for communications teams this year. The action is straightforward: know what AI says about you, identify where the gaps are, and build a content strategy designed to close them.
That's what this solution makes possible.
