When a reporter is on deadline at 4pm, they ask ChatGPT for the background. Half the time, ChatGPT is wrong. The other half, it's working from a quote your CEO never said.
Comms teams used to monitor news, social, and analyst chatter. Now there's a fourth channel, it's higher-leverage than any of them, and most teams have zero visibility into it.
That misattributed line from 2023 you spent six months correcting? Still cached in three of four models. Every "what did [CEO] say about [topic]" pulls it up like it's new.
Every quote attributed to your executives, with the source the model thinks it came from. Stale quotes flagged. Hallucinated quotes flagged with citation pulls.
You issued the statement. The press picked it up. The AI didn't get the memo. A reporter on deadline asks ChatGPT what your CEO said about the incident — gets last week's version.
When you push a statement, trigger a re-scan. Within minutes you see which models picked it up, which are still serving the old version, and where to file corrections.
Not the headline-grade fabrication. The quieter kind: a paraphrase that lands two degrees off the actual position, repeated until it becomes the assumed truth.
Every paraphrased "[CEO] said" line, with the actual model output, the cited source, and a diff against the authoritative record. You see drift the day it appears.
It's not social listening. It's not media monitoring. It's not analyst relations. It falls between three desks. Nobody has a tool. Nobody has the budget line.
The AI Accuracy Score is the number you bring to the comms standup. The weekly digest is what you forward to the GC. The tool fits in the gap.
Priya's phone buzzes. It's a reporter from a major business outlet, polite and direct: "I'm writing on your Q1 earnings — ChatGPT says your CEO walked back the original guidance. Can I get a comment?"
Priya knows the CEO did not walk back the guidance. She also knows the reporter is filing at 4:30. She has forty minutes to find out where the AI is getting this from, neutralize it before it's printed in a credible outlet, and brief the CEO.
"In a follow-up call, [CEO] softened the earlier guidance, suggesting Q2 may underperform expectations."Source cited: a paraphrased blog post, not the official transcript
The misquoted alert names the source: a third-party analyst blog that paraphrased the call inaccurately. Three of four models are now treating that paraphrase as primary. The original transcript is not in any model's citation.
3:58 · Counter-source publishedPriya's team publishes a corrections page on the IR site with the verbatim transcript excerpt, JSON-LD structured for machine-readability. The misquoted system flags the next re-scan window.
4:18 · Reporter respondedPriya responds with the transcript URL and a one-line correction. The reporter files at 4:32. The line about "walking back" is not in the piece. Two models have already updated their answer by Friday's scan.
Crisis-response in the AI era is no longer measured in hours. It's measured in the number of model re-scans between the threat and the file.
The first thing I check in a brewing crisis isn't Twitter. It's what the four models will tell a reporter at 4pm.
For PR & comms, weekly cadence is the floor. News cycles move faster than monthly. Monitor Pro re-scans every model every week, with on-demand re-scans whenever you push a statement.
Continuous quote and claim tracking across ChatGPT, Claude, Gemini, and Perplexity. Weekly scheduled scans, on-demand re-scans, alerts on every claim flip.
Run a free scan. We'll show you the worst quote currently in circulation, where it came from, and the score we'd give your AI accuracy today.