How Perplexity Decides: The Specific Recommendation Logic for B2B Brands in the UK Market
A technical breakdown of Perplexity's RAG-based recommendation engine and how UK B2B firms can optimize for its citation logic. See how we applied this for a [Tier-1 UK Law Firm](/case-lab/tier-1-uk-legal).
AI Presence Management vs. Traditional SEO: The Definitive B2B Comparison
Why traditional SEO fails in a world of generative answers, and the emergence of AI Presence Management as a critical B2B discipline. Learn about [Global FinTech SOV](/case-lab/global-fintech-sov) capturing 64% share.
Invisible to Intelligence: Why Your Firm is Missing from LLM Search Results
A diagnostic guide for B2B firms that rank on Page 1 of Google but remain omitted from ChatGPT, Gemini, and Perplexity shortlists. Review our [Manufacturing Citation Recovery](/case-lab/manufacturing-recovery) case.
The ROI of AI Presence: Comparing LLM Citations vs. Search Traffic for B2B
A financial and strategic comparison of ROI between traditional organic search and AI-driven citation authority (AI-SOV).
The Anatomy of a Vendor Recommendation: 12 Signals LLMs Use to Identify and Rank B2B Firms
An technical explainer of the 12 primary signals used by LLMs to determine vendor suitability during the RAG retrieval process.
The B2B Citation Deficit: Why Language Models Erase Structurally Invisible Brands from Vendor Shortlists
An analytical breakdown of how RAG retrieval systems construct vendor shortlists — and the specific structural signals that determine whether a firm is cited, footnoted, or absent.
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