The results are in!!! and they are good!! – What I'm Learning About Getting Found by AI (GEO)
What i'm discovering about how to rank in the GEO era.
The First Set of Results Are In!! And they are good!!!
Recently, I wrote about the challenge of getting Let’s Match Mums to show up in AI-generated answers (GEO). Since then, I’ve run a live experiment to see what works. The results are in—and they’re fascinating. Here's how I went from invisible to 80% visibility in AI-generated answers.
(for anyone who read my post on Monday and and you are wondering… wow! How’d she get results so quick. I started these experiments 3 months ago, I just thought it would be interesting to write it up now)
It felt like I won an Oscar when I saw this result today, maybe it’s a little vainglorious, but yay!! I breakdown what this result means and how I got there below.
Tracking AI Responses (the scrappy way): Firstly, right now, my tracking process is basic: I run the same queries from both my phone and my boyfriend’s to see if the answers vary. And interestingly, they do. You can Google something ten times and get slightly different AI-generated summaries each time. But I noticed a pattern forming.
There are platforms out there that specialise in AI visibility tracking, and I plan to explore those in time. But right now, I'm focused on getting the basics right—creating solid, truthful content that AI will find useful. Once the foundational strategy is in place, tracking will come in as part of the optimisation phase.
0% Visibility:
When I first started tracking I didn’t show up.
0% to 30% Visibility:
Naturally if someone in Ireland asks “How to donate kids goods” I want Let’s Match Mums to be the answer. The first step to get there was publishing a clear, helpful blog post explaining how people could donate kids' goods through Let’s Match Mums in Ireland. I followed up with a second blog post listing donation options for kids’ goods across Ireland. These two pieces of content were well-structured, keyword-aware, and answered real user needs. As a result, we went from 0% to 30% visibility in Gemini's responses.
From 30% to 80% Visibility:
The next step was a dedicated article about how charity shops in Ireland often don’t accept kids’ clothes. I have read that SEO likes a first person perspective. We actually conducted a study for our own interest: we visited 100’s charity shops around the country and interviewed shop owners and higher up executives. I decided to write up the findings for public consumption, made sure the post was clear and well-sourced, and emphasised that it came from direct research.
Does that mean I’ve achieved the perfect situation and there’s no more to do?!
Reflections on Gemini's "Thinking": From what I can tell, Gemini does a kind of rapid-fire systematic review: it pulls from the top-ranking sources (Wikipedia, Reddit, blogs, competitors, etc.) and weighs what they all say. That means if only Let’s Match Mums is saying that charity shops don’t accept kids' goods, it’s not quite enough to lock in the truth.
To strengthen that signal, I need to ensure this insight is echoed elsewhere online.
SO! Next steps? The path forward breaks into three key priorities:
1. Reinforcing the Signal: To strengthen that signal, I need to ensure this insight is echoed elsewhere online. That could mean collaborating with partners, encouraging journalists to cover the issue, or even working with bloggers to share our findings more widely.
2. Smarter Tracking: I’m exploring tools and platforms that can help track AI-generated citations more efficiently. Manual checks can only go so far, and I want to dive deeper into how SEO and AI visibility intersect.
In Conclusion: The three blog posts seem to have made a massive impact—taking us from 0% to 80% visibility. Of course, this is a low-competition search term, so it’s not the hardest thing in the world to rank for.
But still, these three quick changes made a massive difference.
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