Perplexity Optimization: How Citations Actually Get Chosen
Perplexity shows its sources, which makes it the clearest place to learn how AI citation works. Here is what determines whether your passage gets picked.

Perplexity shows its sources, which makes it the clearest place to learn how AI citation works. Here is what determines whether your passage gets picked.

Most Power BI implementations fail not because of technology, but because dashboards answer the wrong questions, lack clear ownership, and break user trust with unreliable data. This post diagnoses the five root causes of dashboard abandonment and lays out a structured recovery process — from usage analytics and user interviews through redesign principles and champion network activation — for mid-market organizations ready to make their BI investment actually work.

There is no ranking report for ChatGPT, but behaviour is observable. Here is a method for testing it properly and the patterns that reliably emerge.

Seven concrete, checkable reasons AI assistants skip your site, from blocked crawlers and client-side rendering to entity ambiguity and unextractable prose.

Mid-market companies between 100 and 2,000 employees face a specific data governance problem: the standard enterprise frameworks assume a Chief Data Officer, a governance committee, and dedicated data stewards that most organizations at this size simply do not have. This post outlines a minimum viable governance model — built around data owners, a definitions register, and quality rules — that can be implemented in 90 days without a dedicated data team, along with three quick-win audits that demonstrate measurable ROI before the programme scales.

A week-by-week plan to measure, fix and grow how often AI assistants cite your business, using only your existing team and content.

Free AI visibility checkers are useful for one thing and misleading about several others. Here is what they measure, where they break, and how to use them well.

Most mid-market procurement functions have an AP system full of spend data and no reliable way to see what it means — by category, by supplier, by business unit. This guide walks through the exact methodology for extracting clean data from your ERP, applying a practical two-level classification taxonomy, building a spend cube in Power BI, and surfacing the 80/20 insights that actually drive sourcing decisions — no BI team required.

A fair comparison of AI visibility tools in 2026: Profound, Semrush, Ahrefs Brand Radar, Peec AI, Otterly and ARIA, on the dimensions that actually decide fit.

SEO, AEO and GEO are not three departments. Here is what each term actually means, where they genuinely diverge, and which one deserves your budget.
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