llms.txt Explained: What It Is, What It Isn’t, and How to Write One
llms.txt is a proposed convention, not a standard, and no major engine confirms reading it. Here is an accurate account of what it does and how to write one.
From Spreadsheets to BI: The Migration Framework That Avoids the Usual Failures
Moving from spreadsheet-based reporting to a BI platform like Power BI is one of the highest-leverage infrastructure investments a mid-market organization can make — and one of the most commonly mishandled. This post walks through the migration framework that avoids the usual failures: auditing the spreadsheet estate, selecting the right first cohort, preserving business logic in the data model, and running a parallel period that builds real trust before cutover.
How to Get Cited in Google AI Overviews
AI Overviews resolve queries above the ranked results. Here is how sources get selected, what to change on the page, and how to monitor citation.
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.
Why Your Power BI Dashboard Isn’t Being Used — And the Fix That Actually Works
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.
How to Rank in ChatGPT Search: What We Learned Testing Real Queries
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.
Why Your Website Isn’t Showing Up in ChatGPT: Seven Diagnosable Causes
Seven concrete, checkable reasons AI assistants skip your site, from blocked crawlers and client-side rendering to entity ambiguity and unextractable prose.
Data Governance Framework for Mid-Market Companies: Where to Start Without a Data Team
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.
How to Increase AI Visibility: A 30-Day Practical Plan
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: What They Measure and Where They Mislead You
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.
