Getting cited in AI answers
Being cited is not the same as being visible. An answer engine builds its response from the sources it can retrieve and trust, and most of those are not on your website.
What this topic covers
Review sites, directories, comparison pages, trade press and forums all feed the picture a model assembles of your brand, alongside whatever your own pages say.
So the work splits in two. On your own site, it means making the pages closest to a buying decision clear enough to be retrieved, summarised and quoted accurately. Beyond it, it means improving the wider evidence — the source ecosystem — that answer engines read when they decide who to recommend and how to describe them.
These guides cover both halves: what the source ecosystem is and how to map it, which pages to fix first and why, why citation accuracy matters as much as citation volume, what to do when AI states something false about your brand, and where Google AI Overviews fit into all of it.
- Guide
What is Generative Engine Optimisation (GEO)?
GEO explained in plain English: how generative engines choose sources, how it differs from SEO and AEO, and how to measure whether AI answers mention your brand.
Read guide - Guide
Google AI Overviews: all you need to know
Google AI Overviews are now part of how many people search. Here's what they are, how they work, what they change and what to do about them.
Read guide - Guide
The source ecosystem in AI search
AI search visibility depends on more than your website. Learn how third-party sources shape AI answers, and how to improve the source ecosystem around your brand.
Read guide - Guide
Citation fidelity: why accuracy matters in AI answers
Why citation fidelity matters, where AI answer accuracy breaks down, and practical steps to improve source selection and answer quality over time.
Read guide - Guide
AI is saying the wrong thing about your brand: how to fix it
AI engines describe your brand using the whole web. How to find what they get wrong, decide what is worth fixing, correct it at source, and prove the answer changed.
Read guide - Guide
What pages to fix first for AI search
Not sure where to start with AI search? This guide explains which pages to fix first, why they matter, and how to prioritise work based on buyer intent.
Read guide - Research
Does anything actually read llms.txt?
Our pre-registered study logging whether AI systems fetch llms.txt at all, compared against robots.txt and sitemap.xml.
Read the study
Get the pages done
The AEO Content Sprint is the implementation half of this: priority pages rewritten for retrieval, entity and positioning inconsistencies cleaned up, and the source work that makes a claim stick, without an ongoing retainer.
See how the content sprint works