· Answer-engine optimisation (AEO)
Your brand's Reddit problem is now a GEO problem
Reddit comments can influence AI recommendations about your brand. How to assess the threads being cited and monitor changes.
Insights
AI visibility, analytics and data strategy.
Articles and practical guides from the General Dataworks team.
· Analytics & tracking
Why your AI visibility score swung overnight (and the 3 numbers that matter)
AI visibility scores vary between runs. How repeated checks and consistent reporting help distinguish trends from daily variation.
· AEO / GEO
Your Google rank says nothing about whether AI recommends you
Search rankings and AI recommendations measure different aspects of brand visibility. How to track both.
· AI & innovation
How your website infrastructure decides whether AI can see you
This post walks through what we learned auditing a new UAE law firm's AI visibility, why their ERP web-builder-based website left them in an AI blind spot, and what brand and marketing leaders should be doing about their own infrastructure before it's too late.
· Answer-engine optimisation (AEO)
Everything we've written about AEO in 2026 so far
Our guides to AI recommendations, visibility tracking and content quality, with a suggested reading order.
· Answer-engine optimisation (AEO)
Content rules that determine AI visibility
How specific descriptions, useful answers and clear page structure help AI systems understand your business.
· Answer-engine optimisation (AEO)
What citations really mean in AI brand monitoring
How to review the sources cited in AI answers and find missing, outdated or inaccurate information about your brand.
· Answer-engine optimisation (AEO)
7 things you need to know about AI brand visibility tracking
Model settings, question phrasing, web search and sample size affect AI visibility results. Seven things to check before comparing the numbers.
· AI & innovation
Customers can tell your content is AI generated and it's hurting your brand
A study of 3,000 U.S. adults found that suspected AI content was rated less trustworthy and less authentic. That perception also affected nearby ads.
· Answer-engine optimisation (AEO)
How AI assistants decide which brands to recommend
How training data, retrieved sources and the questions buyers ask affect AI brand recommendations.
· Answer-engine optimisation (AEO)
How to plan an AI brand visibility tracking project
Choose the brands, questions and AI assistants to track, then agree how your team will review and use the results.
· Answer-engine optimisation (AEO)
Metrics that matter for AI brand visibility
What share of voice, position, sentiment, mention rate and citation coverage tell you about your brand in AI answers.
· Data strategy
Product analytics in 2026: Five tactics from last year that won't work anymore
A review of tracking quality, first-party data, dashboard design and predictive analytics for product teams.
· Business intelligence
How data analytics transforms cargo and logistics operations
How logistics teams use shipment, route and carrier data to track performance, manage costs and plan operations.
· Analytics & tracking
How many KPIs is too many?
How to choose a manageable set of KPIs and keep your dashboard focused on the decisions it needs to support.
· Analytics & tracking
The optimal data stack for a vibe-coded startup
A practical analytics setup for early-stage founders who need to understand product usage without hiring a data team.
· Analytics & tracking
Five web analytics platforms SMEs should consider in 2026
A comparison of Google Analytics, Matomo, Hotjar, Fathom and HubSpot for small and medium-sized businesses.
· AI & innovation
AI Doesn't Need Your Help: New Research Suggests Humans Make Ads Worse
New research is upending conventional wisdom about the use of AI in advertising. When AI was given full creative control ads outperformed human-made versions by 19%. When AI was relegated to only tweaking human work, performance dropped. The implications may be uncomfortable for some. Here's what the research means for marketers thinking about how they should integrate Gen AI within their creative workflows.
· Digital performance
Why Data Doesn’t Improve Decisions And What Leaders Must Change
Start with the decision your team needs to make, then identify the data and analysis required to support it.
· Digital performance
The Metric Trap: Why KPIs Can Distort Decision Quality
Targets can encourage behaviours that improve a metric while harming the business. How to review the incentives and context behind your KPIs.
Reading about it is not measuring it.
A diagnostic tells you where you actually stand across five engines.