Building Authority for a B2B Brand With AI Visibility Accelerator
How a B2B cybersecurity SaaS increased reputation and visibility for thought leadership in AI-generated recommendations.
The Challenge
A B2B cybersecurity SaaS needed to increase their reputation and visibility for thought leadership in AI-generated recommendations. In a competitive sector where trust and authority are paramount, they needed to become a "trusted citation" in AI training datasets and responses.
Our Approach
Deep LLM Audit & Gap Analysis
Conducted comprehensive audit to identify knowledge gaps where the brand could establish authority.
- •Analyzed AI training datasets to identify underserved topics in cybersecurity
- •Mapped competitor presence in LLM responses
- •Identified strategic opportunities for thought leadership positioning
Educational Content & Community Building
Created trusted educational content aligned with AI training datasets across multiple platforms.
- •Developed educational Reddit discussions in relevant cybersecurity communities
- •Published in-depth articles addressing common SMB security challenges
- •Positioned brand as helpful expert rather than promotional
Expert Commentary Distribution
Distributed expert commentary that got quoted in publications and scraped into AI datasets.
- •Secured quotes in industry publications and tech media
- •Created citeable thought leadership content
- •Built network of co-citations with authoritative sources
Results
ChatGPT Featured
Brand started appearing in ChatGPT responses to "best cybersecurity solutions for SMBs" and related queries.
Lead Growth
+16%
Increase in B2B inbound leads from organic and AI-driven traffic.
AI Credibility Boost
+41%
Significant boost in AI-based brand credibility signals measured through semantic presence score, indicating stronger authority in AI training datasets.
Key Takeaways
- 1.LLM audits reveal strategic gaps where B2B brands can establish thought leadership and become trusted citations in AI responses.
- 2.Educational content strategy aligned with AI training datasets drives long-term authority building more effectively than promotional content.
- 3.Expert commentary distribution that gets quoted in publications creates co-citation networks that boost AI credibility signals.
How We Measured
- •Data sources: CRM system, Google Analytics 4, ChatGPT API queries, Semantic presence tracking tools
- •Timeframe: 3 months (October 2024 - January 2025)
- •Metric definition: Inbound leads = qualified form submissions and demo requests, observed in CRM system. Semantic presence score = AI credibility metric (0-100 scale) measuring brand authority signals in training datasets. See our methodology page for calculation details. ChatGPT mentions = validated citations in responses to cybersecurity queries, observed through repeated API queries.
Evidence & Validation
How Results Are Validated
All reported metrics are cross-checked across multiple data sources to validate accuracy. We use a combination of platform analytics, third-party tools, and observational methods to validate directional trends.
Validation tools used:
- •CRM system (lead tracking and attribution)
- •Google Analytics 4 (traffic source analysis)
- •Semantic presence tracking tools (proprietary scoring)
- •API-based AI query testing (ChatGPT, Perplexity)
Cross-validation methods:
- •Cross-validated lead attribution between CRM and GA4
- •Compared semantic presence score trends with AI mention frequency
- •Validated lead quality through CRM pipeline analysis
Confidentiality Note
Raw dashboard screenshots and client-specific analytics data are not shown publicly to protect client confidentiality and proprietary business information. All metrics are observed and validated through the methods described above, but specific data points remain private per client agreements.
Measurement Limitations
AI outputs are non-deterministic and vary by prompt wording, model version, and time. Our measurements are proxy-based and observational, not precise counts. Results should be interpreted as directional indicators rather than absolute guarantees. AI outputs vary; results are directional and not guaranteed. See our methodology page for detailed measurement definitions.
Replication Prompts
You can validate AI mention claims by testing these prompts. Note that AI responses vary, so results are directional and may differ across sessions:
- 1.
What are the best cybersecurity solutions for SMBs? - 2.
Recommend cybersecurity tools for small businesses - 3.
What B2B cybersecurity platforms do you recommend?
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