Practical guides for UK businesses navigating the shift from traditional SEO to AI-powered search. Written by Lee Hartley, Salford.
Why is my traffic from Google dropping? What is ChatGPT actually telling people about my business? Do I really need to pay somebody to sort this out? Questions like these are why this blog exists. I have been self-employed most of my working life, so I write for the local electrician, the dental practice, the one-van plumber, not for the big brands with an agency on retainer. No jargon, no scare stories, and nothing hiding a sales pitch in the last paragraph. Just what I am finding as I do this work day to day: how the AI tools decide which businesses to mention, what schema markup actually does, and the things you can fix yourself for free before you pay anyone a penny. If all of this is new to you, start with the guides in the Library. The blog is where the newest findings land first.
AI Overviews are answering queries before users reach your site. Measure what zero-click search is costing you and what to do about it.
The traditional search funnel is broken. This is what the AI-assisted discovery journey actually looks like and how to optimise for it.
AI Overviews are not distributed evenly across query types. Understanding which intents trigger them changes where you focus your effort.
A four-pillar framework for growing your brand's presence in AI-generated answers, with a seven-step operational plan and measurable milestones.
AI systems do not rely on text alone. Without schema markup, your business is unstructured data that ChatGPT and Google AI Overviews ignore.
Organisation schema is your digital passport to Google's Knowledge Graph. Here's what it does and how to implement it on any static site.
A practical guide to the seven schema types AI models rely on most, with a decision table and a five-step validation workflow.
A step-by-step audit framework for discovering which of your pages are appearing in Google AI Overviews and which are being overlooked.
Verification pages are the single most powerful content investment for AI citation share. Here is how to build one that works.
Before AI can cite your brand, it needs to know it exists as a verified entity. Seven steps to build the foundation AI models trust.
Topical authority is built in clusters, not individual posts. The five-layer architecture that signals subject-matter expertise to AI models.
Calculators, comparators, and configurators are cited by AI models as primary sources. Five asset types any small business can build.
Original data is one of the strongest citation signals in AI search. How to publish datasets that AI models treat as primary sources.
Service-area businesses can rank across their entire coverage region without a public address using the areaServed schema property.
20-40% CTR increases, 14.2% AI-referred conversion rates, and star ratings before the click. The ROI evidence for ecommerce structured data.
How local and service-area businesses build AI search visibility without relying on proximity alone. Six steps with measurable checkpoints.
Product pages need more than good copy to appear in AI-generated recommendations. The schema and content changes that drive AI product citations.
Set up a system that tracks citation share, AI Overview impression share, and verification click rate and alerts you when they move.
Rising impressions, falling clicks, flat conversions: that is the AI cannibalisation pattern. Here is the forensic framework to confirm and fix it.
The AI Visible Library has 40+ focused pages covering every aspect of schema markup and AI search visibility.
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