Explore insights into AI Overviews with Belmore Digital’s Expert Digital Marketing & SEO Consultancy.
For local businesses, GEO starts with Local SEO, not alongside it. Here's what AI systems actually look at for location-specific recommendations, and what to do first.
No dashboard exists for Google AI Overview appearances. Yet. Here's how to check manually, what the results mean, and what to do next.
Most schema implementations validate and do almost no GEO work. The properties that build entity associations (knowsAbout, sameAs, about, mentions) are consistently empty. Here's what full implementation actually looks like.
Appearing in AI-generated answers requires specific work across six components, in a specific order. JB maps the full picture and explains the sequencing logic that most GEO content skips.
GEO (Generative Engine Optimisation) is how businesses appear in AI-generated answers from Google, ChatGPT, and beyond. JB explains what it is, how it works, and why it matters.
Google AI Overviews use a retrieval system called FastSearch that prioritises semantic relevance over traditional authority signals. JB explains the selection mechanism, what E-E-A-T means in practice, and which queries actually trigger AIOs.
AI-generated answers are already influencing buying decisions. JB makes the commercial case for GEO: the compounding advantage, the cost of inaction, and where it fits in your marketing investment.
GEO and SEO are not alternatives. They are sequential layers of the same objective. JB explains what each does, where they share foundations, and why the "vs" framing is the wrong question.
ChatGPT doesn't search. It generates. JB explains training data, Retrieval-Augmented Generation, and what businesses need to understand about how LLMs decide whose name comes up.
Google keeps giving itself a larger role in deciding what people see, OpenAI is building an advertising business, YouTube wants recommendations to feel like conversations, and email marketers are being reminded that strategy still matters. Different stories, same theme: platforms are becoming stronger gatekeepers, while marketers have less control than they used to.
Google announced the biggest changes to search in 25 years at I/O last week. I wanted to see what's actually live in Australia right now. So I ran the same queries across Chrome and Safari, desktop and mobile, standard search and AI Mode, and recorded what I found.
Google has renamed Search to Ask. AI Mode picks one business to recommend, not ten to rank. It bases that recommendation on how well your information satisfies the customer's decision process, including concerns they haven't voiced. Different search pathways recommend different businesses for the same query. The shift is gradual but the direction is clear. Understand your customers, give them what they need, and the AI will recommend you. Ignore them, and it will recommend someone who didn't.
AI search keeps absorbing Reddit, Google wants ads inside conversations, nearly half the web may already be AI-written, and B2B buyers trust automation far less than marketers hoped. The common thread is fairly obvious. Platforms keep compressing discovery into AI systems while audiences become steadily more suspicious of what they are being shown.
Google's AI optimisation guide and the Ahrefs schema study both dropped this week, triggering the usual tribal warfare. Before you pick a side, read a 20-year SEO veteran's breakdown of what the evidence actually supports, what's commercially motivated, and the contradiction in Google's advice that nobody is talking about.
Schema likely contributes to how LLMs build and retrieve knowledge, but the confident "schema gets you cited" narrative is ahead of the evidence. Implement it as infrastructure. Don't expect it to be a competitive advantage on its own.
GEO: Appear in AI-Generated Answers Across Every Major AI Platform Helping Your Customers Find You by Building the Signals That Help AI Systems Generative Engine Optimisation is the practice of building the signals that help AI systems cite [...]
ChatGPT citations favour longer, structured content. Google introduces the idea of agentic optimisation for AI agents. Dynamic Search Ads are heading for retirement. PPC strategists are talking about profit instead of clicks. And Google Maps is now answering recommendation questions. Different announcements, same pattern. Discovery is slowly being filtered by machines first.
Measurement must drive decisions. CRM data should shape messaging. SEO must prove revenue. Product feeds matter. AI is changing discovery. This week’s update is about accountability across modern marketing.
AI ads are quietly reshaping how brands get chosen, search visibility is being decided on social long before anyone types a query, email only works when people actually care, martech tools are starting to make calls instead of charts, and TikTok keeps exposing how lazy most attention strategies really are. The common thread this week is control shifting upstream. Discovery, decision-making, and attention are no longer owned by the channels marketers feel most comfortable managing.
This week’s update covers why AI still misses key brand moments, how buyers now move between search and AI before deciding, smarter ways to make retargeting emails pay off, Meta’s push to clean up creator discovery, and why customer experience has become the most reliable growth lever going into 2026. The common thread? Clarity, connection, and joined-up thinking beat channel tricks every time.
