The State of Negative PR & AI
Regularly updated proprietary research reports tracking current trends, emerging threats, and future predictions in the negative PR and AI reputation landscape — how smear campaigns are evolving, how AI answer engines amplify them, and what's coming next.
Quarterly
Updated each quarter
3
Editions published
6+
AI engines tracked
Free
Email-gated
What each report covers
Every edition follows the same structured methodology, so you can track how the negative PR and AI reputation landscape evolves quarter over quarter.
Current Trends & Top Tactics
The fastest-rising negative PR tactics each quarter, with trend direction (rising, stable, declining) and observation for each.
Emerging Threats & Future Predictions
Forward-looking analysis of where negative PR and AI reputation risks are heading — the threats that haven't peaked yet.
AI-Hallucination Examples
Documented cases of AI answer engines generating false claims about real companies and executives, with impact analysis.
Cited-Source Analysis
Which sources each AI engine (ChatGPT, Gemini, Claude, Perplexity, Copilot) cites for reputation queries — and how to influence them.
Industry Exposure
The industries most exposed to smear campaigns each quarter, with exposure levels and why.
Legal & Compliance Trends
How courts, regulators, and platforms are responding to AI-surfaced defamation and coordinated reputation attacks.
The Negative PR & AI Reputation Index — Q3 2026
In Q3 2026, coordinated blog-syndication smears and AI-summary poisoning remained the fastest-rising negative PR tactics, with campaigns engineering 20+ low-authority sites to publish near-identical phrasing in narrow windows timed to fundraising, product launches, and regulatory events. AI answer engines increasingly cite the same syndicated content, compounding brand-search damage within days. Google AI Overviews now appear for the majority of reputation-related name queries and frequently summarize a single dominant source. Fintech, healthcare, and public-company executives are the most exposed. Hallucinated 'resolved crisis as current' errors persist across ChatGPT, Gemini, and Perplexity. Legal and compliance pressure on AI platforms is rising, with defamation complaints and right-of-reply frameworks advancing in multiple jurisdictions.
Key findings (preview)
- 1Coordinated blog-syndication smears remain the fastest-rising negative PR tactic, with 20+ low-authority sites publishing near-identical phrasing within narrow windows.
- 2AI answer engines increasingly cite the same syndicated negative content, compounding brand-search damage within days of publication.
- 3Google AI Overviews now appear for the majority of reputation-related name queries, often summarizing a single dominant source.
- 4Fintech, healthcare, and public-company executives are the most exposed to smear campaigns this quarter.
+ 3 more findings in the full report
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Current trends & future outlook
Our editorial analysis of where the negative PR and AI reputation landscape stands today — and where it is heading next. Drawn from the Q3 2026 edition, this section synthesizes the tactics, legal shifts, and emerging threats that decision-makers should be planning for now.
Current trends this quarter
- 1Coordinated blog syndication — 20+ low-authority sites publishing near-identical negative phrasing in narrow windowsrising
- 2AI-summary poisoning — seeding content engineered to be ingested and cited by retrieval-augmented answer enginesrising
- 3Deepfake executive impersonation — fabricated video and cloned-voice clips targeting public-company CEOsrising
- 4Leaked-dossier drops — timed document releases to media and forums ahead of funding rounds or earningsrising
- 5Coordinated social amplification — burner-account networks pushing narratives into real-time engines like Grokrising
- 6Review bombing — bursts of inauthentic one-star reviews to move composite ratings before platform integrity systems respondstable
Legal & compliance shifts
- Defamation complaints targeting AI-generated outputs are rising; platforms invoke intermediary-liability shields in some jurisdictions while courts probe the limits.
- Right-of-reply and correction frameworks for AI summaries are advancing under the EU Digital Services Act and several US state proposals.
- OpenAI's OAI-SearchBot guidance and Google's foundational-SEO guidance both emphasize crawlability and accurate, structured content as the basis for what AI surfaces.
- Courts increasingly recognize source-level correction as the actionable remedy for AI-surfaced defamation, since models cannot be selectively edited.
Emerging threats & future predictions
- 1Autonomous agent-driven smear campaigns — AI agents that automatically research, draft, and deploy coordinated negative content across platforms without human intervention, dramatically reducing the cost and increasing the speed of attacks.
- 2Real-time deepfake during live events — synthetic video and audio streamed live during earnings calls, press conferences, or public appearances, making forensics far harder because the content is consumed before it can be debunked.
- 3AI answer-engine echo chambers — models increasingly cite each other's outputs as sources, creating circular reinforcement where a single false claim can become 'established fact' across all engines without any human source.
- 4Personalized disinformation at scale — AI-generated negative content tailored to individual stakeholder profiles (investors, customers, regulators), delivered through targeted channels, making coordinated attacks appear as organic individual concern.
- 5Model-update reputation drift — AI engines silently change how they describe a brand after model updates, with no notification to the affected party, creating invisible reputation damage that only continuous monitoring can detect.
- 6Regulatory backlash creating reputational double jeopardy — as governments move to regulate AI-generated disinformation, brands may face reputational damage from the original attack AND from regulatory scrutiny of their response, requiring dual-track defense strategy.
- 7Voice-cloning attacks on executive communications — cloned-voice attacks targeting investor relations, customer service, and internal communications, where the synthetic audio is used to extract information or authorize actions that then become reputation-damaging 'evidence'.
NegativePublicRelations.com Research Desk — Reputation-intelligence analysts tracking negative PR tactics and AI answer-engine behavior across public companies and executives.. This analysis is drawn from the Q3 2026 edition of The Negative PR & AI Reputation Index and reflects our editorial team's assessment of the current landscape and forward-looking threats.
All editions
The Negative PR & AI Reputation Index — Q3 2026
Q3 2026 edition: coordinated blog-syndication smears and AI-summary poisoning are the fastest-rising negative PR tactics. AI answer engines increasingly cite syndicated negative content, compounding brand-search damage. Google AI Overviews now appear for most reputation-related name queries. Fintech, healthcare, and public-company executives are most exposed. Includes emerging threats and future predictions for the AI reputation landscape.
Key findings
- 1Coordinated blog-syndication smears remain the fastest-rising negative PR tactic, with 20+ low-authority sites publishing near-identical phrasing within narrow windows.
- 2AI answer engines increasingly cite the same syndicated negative content, compounding brand-search damage within days of publication.
- 3Google AI Overviews now appear for the majority of reputation-related name queries, often summarizing a single dominant source.
+ 4 more in the full report
The Negative PR & AI Reputation Index — Q2 2026
Q2 2026 edition: deepfake executive impersonation attacks surged, coordinated review-bombing expanded beyond consumer brands into healthcare and professional services, and AI answer engines began citing Reddit and forum threads as sources for reputation queries. Short-seller-coordinated smears remained elevated in fintech.
Key findings
- 1Deepfake executive impersonation attacks increased sharply as synthetic-media tools became more accessible and realistic.
- 2Coordinated review-bombing expanded beyond consumer brands into healthcare providers and professional services firms.
- 3AI answer engines (ChatGPT, Perplexity) began citing Reddit threads and forum posts as sources for reputation queries, giving low-authority user-generated content disproportionate weight.
+ 4 more in the full report
The Negative PR & AI Reputation Index — Q1 2026
Q1 2026 edition: AI answer-engine poisoning emerged as a distinct attack category, coordinated blog-syndication smears reached new scale, and Google AI Overviews began dominating reputation-related name queries. Healthcare and fintech led industry exposure.
Key findings
- 1AI answer-engine poisoning emerged as a distinct attack category, with deliberate seeding of false information into model source corpora.
- 2Coordinated blog-syndication smears reached new scale, with 15+ low-authority sites publishing near-identical phrasing within 48-hour windows.
- 3Google AI Overviews began dominating reputation-related name queries, making AI-source management a first-class reputation discipline.
+ 4 more in the full report
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Get the complete The Negative PR & AI Reputation Index — Q3 2026 — including top tactics, industry exposure, AI-hallucination examples, emerging threats, and legal trends. We'll also send you each new quarterly edition.
We use your email only to deliver the report and future editions. No spam, no sharing. Read our privacy policy.