Separate Buzz From Damage After a Bad News Cycle

The task

A bad news cycle doesn’t always damage a brand, and daily measurement is the difference between guessing whether it did and knowing. Social listening can tell you how much people are talking and in what tone, but volume and tone say little about what the story did to your bottom line. The question that matters is whether the people who heard it changed how they feel about the brand, and whether they’ll still buy it.

The AI Connector gives you that answer from your brand’s tracked metrics, so you can see how reputation is shifting and respond to what actually moved.

Prompt

Using Morning Consult data, show me a chart of Tylenol’s negative buzz and net trust by month from January 2025 through September 2026. Mark the September 22, 2025 White House press conference, when President Donald Trump shared an unproven claim linking acetaminophen use during pregnancy to autism.

The result

The story reached people. The share of U.S. adults who said they had heard something negative about Tylenol recently went from 5.5% in August 2025 to 22.1% in September and 26.2% in October, roughly five times the brand’s normal level. It took until spring 2026 for negative buzz to fall back under 10%, and it has settled at 7% to 8% since, slightly above where it was before the story.

But trust did not move as dramatically. Net trust was 52.6 in August 2025, dipped to 49.9 in September and October, and was back to 52.2 by December. By September 2026 it was 55.5, in line with the brand’s level before the story. A second pull of purchasing consideration told the same story: the share who said they were very likely or absolutely certain to buy Tylenol was 57.3% in August 2025, 55.1% in September, and 59.8% a year later.

In short, the news cycle produced a large, measurable spike in awareness of negative news and a small, temporary dip in trust that had closed within three months.

Keep in mind

Ask for two metrics that measure different things. Negative buzz measures what people hear. Net trust measures what they believe. Putting them on one chart is what separates the news cycle from its effect.

Anchor the chart to the event. Naming the date of the press conference in the prompt gives you a marker on the chart and a clean before-and-after split in the numbers. Without it, you are eyeballing when the spike starts.

Ask whether the damage lasted, not whether it happened. It’s common for there to be a temporary dip in key brand performance metrics during a controversy. Whether or not that lasts is a different story altogether.