Perplexity Citation Tracker: How to See If Perplexity Cites Your Website
How to check whether Perplexity cites your website, what a Perplexity citation tracker measures, and what to change when competitors are cited instead.
How to Evaluate AI Vendors: The Due Diligence Framework That Protects Mid-Market Buyers
Most mid-market companies evaluate AI vendors the same way they evaluate conventional software — and pay for that mistake 12 months into a deployment that nobody trusts. This post lays out the specific due diligence framework that senior operations leaders and CFOs need to protect their organizations: from model transparency and Canadian data sovereignty to contract clauses that prevent lock-in and the red flags that separate production-ready products from polished demos.
The AI Roadmap: A 90-Day Planning Framework for Operations and Strategy Leaders
Most mid-market organizations have no shortage of AI ideas — they have a shortage of planning discipline. This post lays out a concrete 90-day framework for operations and strategy leaders to move from current-state inventory through use-case prioritization, governance design, and the business case structure that gets Wave 1 funded. No generic platitudes: just the process, the outputs, and the mistakes to avoid at each stage.
AI Visibility for E-commerce: Product Discovery Inside AI Assistants
How constrained shopping queries pick products inside AI assistants, and why complete product attributes, feed consistency and honest buying guides decide inclusion.
AI in Procurement: Use Cases That Are Production-Ready in 2026
AI in procurement has moved past the pilot stage. Six specific use cases — spend classification automation, contract obligation extraction, supplier risk monitoring, RFP response generation, invoice exception routing, and demand forecasting input — are now in production at mid-market companies, with payback periods ranging from three to eighteen months. This post maps the maturity, realistic cost of ownership, and implementation prerequisites for each.
Generative AI for Knowledge Work: A Realistic Assessment for Mid-Market Operations Leaders
Generative AI delivers measurable productivity gains in drafting, synthesis, and first-pass analysis — but creates significant risk when deployed for autonomous decision-making, compliance interpretation, or novel strategic analysis. This post provides a realistic assessment and a role-based adoption sequencing framework for mid-market operations leaders navigating GenAI deployment in 2025 and beyond.
Cross-Functional Collaboration: The Operating Model That Removes Silos Without Reorganizing
Functional silos in mid-market organizations are almost never solved by reorganizing — they are an accountability, incentive, and decision rights problem that a new org chart simply redraws around. This post outlines the four-part operating model that removes cross-functional friction without restructuring: accountability architecture, explicit decision rights, shared OKRs, and structured rituals that build collaborative relationships at scale.
AI Visibility for Local Businesses: Winning ‘Near Me’ in the Answer Era
Why ‘near me’ answers now compress to two or three named businesses, and how NAP consistency, map profiles, review text and operational facts decide who gets named.
Knowledge Management Systems: Why They Fail and How to Build One That People Actually Use
Knowledge management systems fail for predictable, structural reasons: contribution costs too much, content becomes untrustworthy, and no one owns the problem of keeping the repository current. This post diagnoses the four core failure modes and provides a concrete implementation framework — covering taxonomy design, tool selection, contribution triggers, and the curator model — for mid-market organizations building KM systems that people actually use.
The Meeting Culture That Kills Productivity — and What High-Performance Teams Do Instead
Meeting overload in mid-market organizations is not a time management problem — it is a governance problem rooted in unclear ownership, weak async tooling, and status rituals that substitute for accountability. This post diagnoses the four meeting types that destroy productive capacity, identifies their structural causes, and provides a practical audit template for reclaiming 30 to 50 percent of recurring meeting time without losing coordination quality.
