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AEO
Answer Engine Optimisation (AEO) is the practice of structuring content so AI-powered search engines (ChatGPT, Perplexity, Google AI Overviews) can extract, understand, and cite it. AEO prioritises factual density, structured data, and direct answers.
Usage context
This term is used across 0 Marshall Tech knowledge surfaces. Use the related resources below to move from the definition into proof, implementation detail, and commercial context.
Related resources
See this term used in guides, case studies, services, and decision support.
Insight
AEO Explained: Answer Engine Optimisation for Business Websites
Answer Engine Optimisation (AEO) is the practice of structuring website content so AI answer engines (ChatGPT, Perplexity, Google AI Overviews) can extract, attribute, and cite your business accurately. Unlike traditional SEO which targets search rankings, AEO targets being the source that AI cites when answering questions about your industry.
Updated 26 Feb 2026
Open resourceExpert insight
On Answer Engine Optimisation strategy
Traditional SEO gets you ranked. AEO gets you cited. In 2026, the distinction matters because AI models synthesise from multiple sources. Your goal is to be one of those sources and be cited accurately.
Updated 15 Jan 2026
Open resourceCase study
Adapt Health: Fractional CTO & AI Integration
Adapt Health needed senior technical leadership to guide new product development and integrate AI and automation into their health technology platform. Marshall Tech provided fractional CTO services, architecting new features, building custom AI workflows, and establishing technical processes that allowed the team to scale efficiently.
Updated 26 Feb 2026
Open resourceExpert
Nick Hugh
Nick Hugh, AI Expert & Fractional CTO at Marshall Tech, Sydney
Updated 9 Apr 2026
Open resourceInsight
Platform Migration Checklist: How to Switch Without Downtime
A successful platform migration requires four phases: discovery (2 weeks), parallel build (4–8 weeks), controlled cutover (1 week), and stabilisation (2 weeks). The key to zero-downtime migration is running both systems in parallel, with a rollback plan at every stage. Most migration failures come from skipping the parallel phase.
Updated 26 Feb 2026
Open resourceInsight
Data Hygiene Guide: Getting Your Data AI-Ready
Data hygiene is the practice of ensuring your business data is accurate, consistent, complete, and accessible. It's the prerequisite for AI implementation, reliable automation, and trustworthy reporting. Businesses with poor data hygiene waste 20–30% of employee time on manual data wrangling and get unreliable results from any AI or automation tools they deploy.
Updated 26 Feb 2026
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