All Posts

Issue 13 looks at what to do when your business still does not appear in AI search answers after months of good AI Visibility work. We cover why this happens and how to diagnose missing evidence, weak third-party signals, broad prompts, and category confusion.

Google AI Overviews change local discovery by summarising business options before customers click. This article explains what that means for small businesses, why top rankings do not guarantee AI citations, and how follow-up questions affect local search.

Issue 12 is a short primer on Google I/O 2026 and the new AI Search changes. We explain AI Mode, intelligent search, information agents, booking, calling, agentic shopping, and what small businesses can do now to make their services easier for AI to understand, compare, and recommend.

AI search traffic is not always easy to measure exactly. This article explains the practical signs small businesses can use to spot whether AI tools may be influencing enquiries, calls, website visits, and customer discovery.

Issue 11 explains how to write blog posts for AI Visibility without abandoning SEO. We compare two short blog fragments on the same topic and show how specific customer situations, decision criteria, and real business detail make content easier for AI tools to understand and recommend.

Blogging can help businesses appear in AI answers when posts clearly describe services, locations, expertise, and customer problems. This article explains when blogging helps AI visibility and when it adds little value.

Issue 10 looks at whether AI-generated website copy, images, and blog posts can be penalised in Google Search or AI recommendations. We explain the difference between useful AI-assisted content and low-value scaled content, with practical prompts small businesses can use.

Google Business Profile can affect how AI tools understand and recommend a local business. This article explains which profile details matter, how AI may interpret them, and why consistency with your website and listings is important.

Issue 9 shares a powerful prompt small business owners can use in ChatGPT, Gemini, Claude, or Perplexity to run a quick AI visibility audit. We use AIVisCity as the example, summarise the strengths and concerns, and show how to turn the output into practical improvements.

FAQ pages can help AI tools connect your business with the questions customers ask. This article explains when FAQs support AI visibility, what useful questions look like, and why specific answers are better than generic website filler.

AI visibility is how clearly AI assistants and AI-powered search systems can find, understand, describe, cite and recommend a business when someone asks a relevant question.

AI visibility is not just SEO with a new name, and SEO is not dead. SEO helps websites appear in search results, while AI visibility helps AI systems understand and recommend a business.

Issue 8 explains why small businesses should ask customers how AI influenced their discovery journey, not rely only on citation rates or prompt volumes. It includes practical questions, a simple tracking method, and a sampling approach for businesses with higher customer volumes.

Photos can support AI visibility by showing what your business actually does. This article explains when images help, why they still need clear written context, and how small businesses can use website and Google Business Profile photos more effectively.

Issue 7 uses a simple Google search example to show why SEO and AEO are related but not the same. It explains why AI Overview citations differ from blue-link rankings, how each result shape affects customer decisions, and what small businesses can do to become easier for AI to cite and recommend.

Separate service pages can make it easier for AI tools to link your business to specific customer questions. This article explains when splitting services helps, why clarity matters, and how to structure pages without overcomplicating your site.

Issue 6 looks at how to measure AI visibility performance without treating it like old SEO. It covers the limits of prompt and citation metrics, practical low-cost checks, and why the real goal is better business outcomes, not prettier dashboards.

AI can give different answers about the same business because it relies on multiple public sources and may focus on different details depending on the question. Consistent business information helps reduce that variation.

Issue 5 looks at whether advanced tools and systems are really necessary for AI Visibility. We cover recent developments in AI search, explain the limits of tool-heavy approaches, and show small business owners what to focus on instead if they want to be understood and recommended by AI tools.

Customer reviews can help AI tools understand what your business is known for, who you help and why customers trust you. Clear, specific reviews are usually more useful than a high number of vague ones.