AI PR & Brand Mention Optimisation
How a global software development company achieved 360% growth in visibility in AI search engines
Client Overview
A global custom software development company specializing in cloud migration, AI integration, and enterprise automation. The client aimed to strengthen its presence in AI-generated search results (Google SGE, Perplexity, Bing Copilot) and position itself as a thought leader in intelligent software development.
The Challenge
Despite the company having excellent SEO metrics and a strong content marketing strategy, its brand rarely appeared in AI-generated summaries or Perplexity responses. AI models typically referred to competitors with more structured data and clearer thematic associations with keywords such as AI software development and digital transformation.
Identified Pain Points:
  • Limited entity definition in structured data (missing Organization, SoftwareApplication, Service).
Inconsistent Attribution
Inconsistent author and company attribution in media mentions.
PR content for traditional SEO
PR content optimized for traditional SEO, not for AI context understanding.
Lack of visibility tracking
No tracking of visibility in AI-generated search ecosystems.
Solution
We implemented a comprehensive AI PR & Brand Mention Optimisation program, integrating semantic SEO, entity mapping, and AI visibility analytics.
1. Entity Structuring and Schema Improvement
01
Schema Implementation
Implemented schema for Organization, SoftwareApplication, Service, Person (key experts).
02
Knowledge Graph
Created an internal knowledge graph linking services (AI development, cloud migration, DevOps automation) with case studies and industries.
03
Standardization
Standardized brand mentions and URLs across more than 120 referring domains.
2. Semantic PR Campaigns for AI Contexts
  • Trained an AI engine to identify trending topics in software development (LLMOps, AI orchestration, legacy modernization).
  • Created expert commentaries and data-driven whitepapers, distributed on TechCrunch, DZone, and The Data Scientist.
  • Used co-citation clustering of entities to align brand mentions with the most effective entities in AI engineering.
3. Setting up AI Visibility Analytics
We created a real-time monitoring dashboard measuring:
Brand Inclusion
Inclusion of the brand in AI-generated responses (SGE, Perplexity).
Co-occurrence
Co-occurrence with industry leaders (Microsoft, AWS, Google Cloud).
Completeness of Recognition
Completeness of entity recognition in structured data APIs.
Iteratively adapted PR content based on model response trends.
4. Brand Authority Reinforcement
Collaborated with AI-focused media outlets for technical interviews and roundtables on enterprise software AI implementation.
Implemented sentiment monitoring to ensure a consistent tone in media narratives.
Results (after 4 months)
Summary
The company is now consistently mentioned in AI-generated summaries for queries such as "AI software development company" and "cloud migration with AI automation". This has enhanced thought leadership visibility, improved inbound lead quality, and boosted media reputation, positioning the brand as a recognized AI-first software development partner.
Key takeaways
AI-driven PR is essential for tech leaders
AI systems prioritize structured, authoritative, and semantically rich content.
Entity-based optimization replaces keyword-based strategy
AI models rely on knowledge graphs, not link density.
Visibility in AI ecosystems = long-term authority
Brand mentions in AI today define digital reputation tomorrow.
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