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Purpose

Provide guidance for communications teams on managing and mitigating negative perceptions in AI-generated answers. When AI platforms mention your brand negatively, it can shape public perception quickly. Communications teams need a proactive strategy to monitor, respond to, and improve sentiment in AI-generated answers.

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Five Response Strategies

1

Monitor Sentiment Daily

Detect issues before they escalate by tracking sentiment in real-time.Action Plan:
  • Check your Lantern dashboard daily for sentiment changes
  • Set up alerts for sudden drops in positive sentiment
  • Review specific AI responses that show negative sentiment
  • Identify patterns: Is it one platform, one topic, or widespread?
Why it matters: Early detection allows you to respond before negative narratives become entrenched across multiple AI platforms.
Don’t wait for quarterly reviews. AI sentiment can shift rapidly and requires continuous monitoring.
2

Create Authoritative Content

Provide authoritative sources for AI engines by creating high-quality, shareable content.Content Types:
  • Fact sheets - Clear, concise information AI systems can cite
  • Research reports - Original data that establishes authority
  • Expert interviews - Quotes from credible sources
  • Case studies - Real-world success stories with data
  • Comparison guides - Fair, balanced comparisons that show your strengths
Distribution Strategy:
  • Publish on your own high-authority domain
  • Share via reputable third-party publications
  • Ensure content is crawlable and structured for AI consumption
  • Use clear headings, bullet points, and factual language
AI engines prioritize authoritative, well-structured content when generating answers.
3

Update FAQs and Help Articles

Address recurring questions or misconceptions proactively.What to update:
  • Common questions that generate negative sentiment
  • Misconceptions about your product or brand
  • Comparison topics where you’re misrepresented
  • Technical details that AI platforms get wrong
Best Practices:
  • Use clear, simple language
  • Provide direct answers upfront
  • Include data and sources to back claims
  • Update regularly as new questions emerge
Example: If AI platforms incorrectly state your product lacks a feature:
  • Create a dedicated FAQ page: “Does [Product] support [Feature]?”
  • Provide clear “Yes” with details and screenshots
  • Link to documentation and user guides
  • Publish case studies showing the feature in use
4

Engage PR and Social Teams

Reinforce positive narratives externally through coordinated PR and social media efforts.Coordination Strategy:
  • Share Lantern insights with PR and social teams weekly
  • Align messaging across press releases, social posts, and content
  • Amplify positive stories through traditional and social media
  • Respond to negative coverage with factual corrections
Amplification Tactics:
  • Partner with industry analysts and influencers
  • Secure coverage in publications AI engines cite
  • Create shareable assets (infographics, videos, data visualizations)
  • Encourage customer testimonials and reviews
AI engines often cite recent news and social proof. Fresh, positive coverage can quickly improve sentiment.
5

Track Impact Over Time

Measure the impact of your interventions and adjust strategy accordingly.What to measure:
  • Sentiment score changes week-over-week
  • Number of positive mentions vs. negative
  • New citations from authoritative sources
  • Shifts in topic association (negative → neutral → positive)
  • Competitive sentiment comparison
Reporting Cadence:
  • Weekly: Sentiment trend direction
  • Monthly: Intervention effectiveness
  • Quarterly: Strategic adjustments based on long-term trends
Adjust your strategy based on:
  • Topics where interventions improved sentiment
  • Content types that generated positive citations
  • Platforms where sentiment remains negative (may need platform-specific tactics)

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Quick Response Checklist

When negative sentiment appears:
  • Document the negative mention (platform, topic, exact wording)
  • Identify the root cause (misinformation, outdated data, competitor narrative)
  • Check if it’s an isolated mention or a trend
  • Alert relevant stakeholders (PR, legal, product teams)
  • Create corrective content addressing the specific issue
  • Distribute through high-authority channels
  • Monitor for sentiment improvement over 2-4 weeks
  • Document lessons learned for future response

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Example Response Timeline

TimelineAction
Day 1Detect negative sentiment spike in Lantern
Day 2Investigate root cause, brief stakeholders
Week 1Create and publish corrective content
Week 2Amplify through PR and social channels
Week 4Measure sentiment improvement
Week 8Adjust strategy based on results

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Case Study: Turning Negative to Positive

Scenario: AI platforms incorrectly claim your SaaS product lacks mobile support. Response:
  1. Monitor: Detected in Lantern dashboard
  2. Create: Published detailed “Mobile Features” page with screenshots
  3. Update: Refreshed all product documentation
  4. Amplify: Shared customer success stories highlighting mobile usage
  5. Track: Sentiment improved from 30% negative to 5% negative in 6 weeks

More Best Practices

Explore more strategies for managing AI visibility and brand perception.
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