TL; DR
- In Cracker Barrel’s first 24 hours, 44.5% of posts and 49% of boycott calls were likely bots—yet the stock still fell ~7%.
- The pattern is always the same: human seeing, bot inflation, human validation, and then a real crisis. Know where you are in that cycle to choose the right response.
- To triage the fire fast, look for duplicate phrasing, suspiciously regular posting, new/low-history accounts, low-trust verified amplifiers, and no crossover into support tickets or partner calls.
- Create a “first 24 hours” playbook that allows you to capture an authenticity snapshot, choose your lane, debunk without oxygen, calibrate with paid/earned/shared/owned, and watch the right dials.
- Monitor what bots can’t fake: sustained, specific stories with receipts, two-way engagement, and cross-channel corroboration.
How to Prepare for a Bot-Created Crisis
A couple of weeks ago, Allison Carter at PR Daily published an article about the Cracker Barrel logo debacle. It wasn’t the same old Monday morning quarterbacking story about the crisis. It was about new data that shows about half of the social media outcry about the logo change was fake.
It was fake.
I’m going to let that sink in for a minute because I needed a minute, too.
According to a report from PeakMetrics, 44.5% of X posts (formerly known as Twitter) about the Cracker Barrel logo within the first 24 hours were bots. Among those calling for a boycott of the restaurant, 49% were fake.
The bot activity criticizing the logo change as “woke” and “inauthentic” was what created the groundswell. It generated enough early heat to appear like a consensus and created enough volume to be noticed by influential people, who then amplified it.
Suddenly, a spark that started as manipulation became a business problem—and a real crisis. The Cracker Barrel stock fell more than 7%, wiping out nearly $100 million in market value in a matter of days.
This is insane. And it’s something we have to get our arms around, and fast, so that when it happens to us (and it will happen to us), we know how to respond in real-time and mitigate the groundswell before it becomes a full-blown crisis.
But first, you need to understand how we got here.
The New Crisis Math
What’s changed isn’t outrage itself—it’s the cost and speed of manufacturing it.
Cheap botnets, tuned by generative AI and incentivized by platform monetization, can generate a claim with enough initial momentum to deceive recommendation systems and appear like consensus within hours.
The Wall Street Journal reports that these coordinated attacks on consumer brands are becoming more common as AI lowers the effort, and X-style incentives reward controversy and volume.
However, there are early telltale signs that we can watch out for and report on: duplicate phrasing, reposted walls, and round-the-clock activity. These markers can make a minor dispute appear to be a groundswell until real people pick it up and amplify it.
This makes the first 24 hours even more important.
Your job isn’t to debate authenticity on the timeline; it’s to diagnose it quickly, brief executives with a clear read (how much is likely synthetic and whether credible humans have validated it), and move proportionally.
Authenticity becomes a diagnostic for how you respond—not whether you respond at all.
Anatomy of a Modern Crisis
Coming out of that new crisis math, most bot-amplified blowups follow the same rhythm.
It starts with seeding.
A high-reach human account—such as a creator, pundit, or political figure—frames the brand move as a values test. That single post provides the swarm with something to latch onto, and it’s enough for recommendation systems to track for acceleration.
Next comes signal inflation.
Coordinated inauthentic accounts pile on within minutes, copying phrasing, posting at suspiciously regular intervals, and brigading keywords to push the topic into trending surfaces.
In the Cracker Barrel case, researchers documented those exact signatures: a bot share of nearly half of all posts in the first 24 hours.
Then comes the human validation.
The inflated volume gets noticed by real people with reach—journalists, influencers, sometimes elected officials—who treat it as organic momentum. Their amplification is the tipping point that moves a social dust-up into mainstream coverage—and on to Wall Street.
Finally, there are real dollars lost.
Once a narrative clears that bar, you get headlines, investor questions, jittery partners, and, in some cases, operational reversals.
PeakMetrics’ analysis tied the Cracker Barrel surge to measurable financial consequences and a rapid rollback—illustrating how a synthetic spark can still produce very real heat.
Knowing where a flare-up sits in this pipeline is what enables comms teams to decide whether to monitor, message, or mobilize a complete response. And it has to happen fast before human validation and Wall Street take action.
Why This Works (Even on Smart People)
Three forces make synthetic outrage unusually effective right now.
First, platform incentives reward controversy and speed.
X’s monetization and recommendation mechanics amplify divisive content and make it cheap to sustain attention once bots create the initial velocity.
Fake campaigns often get turbocharged by botnets precisely because the platform pays for engagement and the algorithm promotes content that is already moving.
Second, our brains mistake visibility for validity.
When we see the same claim everywhere, we unconsciously file it as consensus. Once enough “signals” accumulate, people begin to follow the crowd’s apparent judgment rather than using their own critical thinking. And before you come at me, we all do this. It’s human nature.
The synthetic spark manufactures the perception needed to trigger very human decision-making shortcuts.
Third, newsroom realities accelerate pickup.
Reporters and editors operate under intense speed pressure, and social feeds are a primary early signal source. Even with verification practices, a fast-moving, high-volume narrative—especially one already amplified by credible humans—can be treated as newsworthy before its authenticity is fully parsed.
That’s the moment a platform problem becomes a brand problem—and the moment you just entered into real crisis territory.
How to Do Immediate Crisis Triage
So, given the incentives and human psychology, how do you quickly size up what’s in front of you?
Start with the shape of the volume.
Synthetic waves tend to spike rapidly and then hum along overnight, without the typical peaks and dips associated with human activity. If a jump occurs in minutes and persists throughout the night, you may be seeing coordinated inauthentic behavior rather than organic spread.
Next, scan the language.
Scroll a screen or two and watch for cloning. This will appear as identical sentences, slogans with a single noun swapped, the same two or three hashtags repeated in the same order.
This is one of the cleanest signals you can spot without software, AI, or tools. Just scroll through and see how much is duplicative.
Then you can click into a handful of profiles that are driving the conversation.
Red flags include lots of brand-new or low-history accounts, timelines dominated by reposts, and posting at suspiciously regular intervals with no human pauses for sleep or work.
One Cracker Barrel researcher noted that accounts posted identical phrases every 17 minutes for 12 straight hours—no human could do that.
Then check out who’s doing the early amplifying.
If the first wave of engagement is dominated by pay-to-engage or otherwise low-trust verified accounts—and only later attracts mainstream voices—you’re likely seeing manufactured momentum seeking validation, not reflecting it.
Lastly, compare against your real-world map.
If conversation volume is concentrated in geographies or communities far outside your customer base—or if support tickets, partner calls, and customer chatter are quiet while social looks on fire—treat the spike with skepticism and verify before you escalate.
Together, these things give you enough confidence to choose a posture in just minutes. Monitor and prepare when the signals indicate inflation; act as if it’s real once credible individuals have validated it, regardless of how it began.
The First 2–24 Hours of a Crisis
OK! You’ve sized the situation. You’ve triaged the bleeding. Now it’s time to move fast and stay calm.
This will be a short loop you run two or three times during day one as new information becomes available.
Verify the Flame
First, verify the flame.
In the first 10–15 minutes, capture a snapshot of simple authenticity that you can share internally. It should include:
- Percent likely inauthentic (or a proxy like duplicate-text ratio)
- Three dominant narratives or duplicate phrases
- Any credible human amplifiers (reporters, influencers, officials)
- Evidence of channel crossover (support tickets, partner calls, employee chatter)
If you have social media monitoring tools (we use Brand24, but PeakMetrics and others work just as well), run a quick scan and tag clusters.
If you don’t have software, never fear! You can just use the fast triage tips from above.
Decide On Your Lane
Once you understand your snapshot—and it will change several times throughout the first 24 hours—decide on your lane.
Use two variables—bot share and human validation—to figure out where things sit:
- High bot, low human validation → monitor and prep a light touch
- High bot, high human validation → treat as real; run the full playbook
- Low bot, high human validation → standard issue-driven response
Write the call in one line for executives: “High bot indicators; now validated by X and Y; moving to active response.”
Debunk Without Oxygen
Now the real work begins—and this is where your response can make or break the crisis. Not to scare you, but this is incredibly important: debunk without oxygen
Address the claim, not the agitators. Create and publish a short, values-anchored holding line that you can use verbatim across channels.
Then stand up a single-owned explainer that:
- Acknowledges what people are seeing;
- States the verifiable facts (with receipts); and
- Says what you’ll do next.
Avoid quote-tweet debates and personalized back-and-forth; point everything back to your pinned post.
Add In Paid and Shared
You can’t get out of a crisis without a PESO Model© recommendation from me, of course, so make sure to calibrate with paid and shared content, along with creating content for your website and ensuring your media contacts are informed about what’s going on.
Using paid, you can aim clarifications at customers, partners, and employees. Suppress obvious agitator interest categories. Always drive to the owned explainer.
And with shared, make sure to equip community managers, field teams, and employees with two or three pre-approved replies and a simple “ask-for-specifics” script (“Happy to look into this—DM so we can help”).
Track unanswered specificity requests and true issues so you can address them with leadership.
Watch the Right Dials
Lastly, you want to watch the right dials.
As you continue to watch the height of the flame, make sure to replace raw mentions with signals that change your recommendations.
This includes:
- Unique human author count versus total posts
- Narrative diversity (are there multiple distinct claims or just one slogan?)
- Coverage quality (who covered it, did they include your receipts?)
- Customer and prospect volume
- Referral traffic and time-on-page for your owned explainer
Refresh your authenticity snapshot and recommendations every few hours; adjust cadence and spend accordingly.
If you keep this loop tight—verify, choose a lane, clarify without oxygen, aim distribution, and measure the signals that matter—you’ll act proportionally to the risk, not the noise.
Crisis Artifacts You’ll Want Ready
All of this is a moot point if you don’t have a crisis plan active and artifacts ready to go. We all think it’s not going to happen to us, and 20 years ago, that might have been true. But today? It’s not if, but when.
Get ready now. For real. Spend Q4 preparing for an eventual crisis and prebuild all of the parts you’ll need to execute as I’ve outlined here.
Those artifacts should include:
- A one-page authenticity assessment. Ten bullet points, green/yellow/red thresholds for bot indicators and human validation, plus the decision tree that maps each state to the right response.
- A holding-statement kit. Three variants you can customize in minutes: values change, product/policy change, and misinformation correction. Each should acknowledge what people are seeing, state verifiable facts, and explain what happens next.
- An owned explainer template. A 250-word fact post with slots for two receipts—a simple timeline and a policy or product “receipt” image—so you can publish one link and update it as you learn more.
- Analyst/media DM. A short note you can send 1:1 with your authenticity snapshot: “Approx. X% likely inauthentic; top duplicate phrases are A/B/C; first credible amplifiers are Y/Z; here’s what we’ve done.”
- Stakeholder notes. One-page briefs for employees and partners that summarize the facts, your stance, and exactly how to handle questions, with links back to the owned explainer.
The Crisis Operating Principle
Cracker Barrel isn’t an outlier; it’s a clear example of a broader dynamic.
Over the last two years, multiple household-name brands—from retailers to quick-service restaurants to manufacturers—have seen culture-war narratives seeded by humans, inflated by coordinated inauthentic activity, and then validated by real influencers and officials.
The politics vary; the mechanism does not.
Bot-boosted fires still burn buildings. Measure the fakery—then move like it’s real.
If the signal is mostly synthetic and still contained, hold steady with your values-led line. If credible humans have picked it up, run the full playbook across owned, shared, earned, and paid. And if it’s human from the start, fix what needs fixing and close the loop.
Spend the rest of this year building your plan to triage, what you’ll do in the first 24 hours, and the artifacts that you can have pre-approved so you can move as fast as possible.
Because the next manufactured crisis won’t wait for you to be ready.
© 2025 Spin Sucks. All rights reserved. The PESO Model is a registered trademark of Spin Sucks.