Research & Analysis
Practical analysis, frameworks, and research tracking how businesses appear across modern AI search and answer platforms. Looking for documented results? See Case Studies.
By Viveka Mohan Das - Founder & AEO Strategist, AISearch Global · Published Author: The AI Search Dictionary
New to AEO? Begin with the fundamentals.
Answer Engine Optimisation is a fast-growing discipline in digital marketing that most Australian businesses haven't acted on yet. Here is what it means, why the timing matters, and what to do about it.
Read Article →Practical instructions you can act on yourself.
A seven-step checklist for a business run by one person: let the crawlers in, say who you are in plain words, add schema that matches the page, write answers, keep your facts the same everywhere, check your text is in the HTML, then measure and repeat. A free tool for each step. Nobody can guarantee a mention in an AI answer, and this says so.
Read Article →A practical guide for Australian small business owners. When a customer asks ChatGPT, Gemini, Perplexity, Grok, or Google AI Overviews a full question, the tool writes one direct answer instead of a page of links - and how many businesses it names varies by platform and query. Here is what actually happens behind the scenes, why it is not the same as SEO, and the simple steps that improve your odds of being named.
Read Article →When someone asks ChatGPT or Gemini for a recommendation, AI names a small number of businesses directly - often just two or three, though it varies by platform. Here's what we've observed about how it decides who gets named - and what you can do to be one of them.
Read Article →Entity Clarity, Schema Markup, Answer-Format Content, Citation Consistency - AISearch Global's own working framework for building AI visibility. Layers 1 and 2 carry roughly 80% of the weighting in our framework, by our own estimate - not an independently audited industry statistic.
Read Article →The question every founder asks: when will I actually see results? The honest answer has two separate clocks - the Founder Audit's 5-7 business day delivery, which we control completely, and how long AI platforms take to reflect any changes you make afterwards, which nobody controls.
Read Article →What new rules mean for a business run by one person.
Australia's draft online safety law carries a penalty of up to $109.2 million. Here is what it actually says, why I sent an abstract to the Department, and the three gaps I raised: reporting serious incidents quickly, AI answer engines, and AI that acts on its own. Both the abstract and the longer background paper are free to download.
Read Article →The deeper evidence behind the frameworks above.
A 50-entity study reconstructs AI perception from dated model snapshots, structural presence from archived homepages, and citation from GDELT news mentions. The result: a universal 63.6-point birth gap, bimodal citation precision, and citation ramps that precede AI perception by a median of 83 days. Open data, open code, and an open invitation to collaborate on v2.
Read Article →Your AEO score went from 19 to 91. AI still can't name you. Here's why that's not a bug - the structural clock you control moves fast, but the perception clock AI platforms control moves slow, and the gap between them is the normal state of AEO work, not a sign something's broken.
Read Article →Princeton researchers tested 9 content tactics across 10,000 queries in their own evaluated setting. Three tactics - cite sources, add quotations, include statistics - produced measurable AI citation gains there; results for any individual business will depend on category, content, and platform. Here is what the study actually found, and what to try.
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