Hey Everyone,
Just wanted to drop in this guide I have been sharing with clients as well as my team and getting great feedback on. It touches on some of what the latest data shows in regards to ranking in the AIOs and tries to cut through all the noise/clickbait that's been going on. Thought I would share here as it could be helpful in conversations with clients. There's a lot going on and it's fast evolving but hopefully this helps on some way.
From that post:
Certain elements of the glossary method, data driven optimization and other SEO methods play right into the AIO algorithm according to the latest research. It looks like we were roughly 2 years ahead of the game when developing these methods. This also corroborates some of my own research into the AI patents. We might want to keep some of these pieces in mind as we're crafting new content to enhance the probability of showing up in those AI Overviews and even bring over some of these glossary "components" even if not full fledged pages. Schema can help too as it's also structured data and acts as a clarification mechanism to Google - almost like "cliff notes". But the simple presence of any one factor is not enough.
These are formatting cues that are part and parcel to my glossary process when I craft the content using my custom AI model/process and confirmed by some recent data according to Search Engine Journal:
- headers
- tables
- bolding
- lists
- bullet points
- summaries
- FAQs
- schema
All of these can stack as signals and structural cues which make it easier for the AI (and Google as well) to crawl the content and understand it.
That's why we see many of our clients glossary pages (and power pages) rank in the AIOs:
Additional Tips - writing snippet optimized, clear, concise answers to queries:
Think also brand (becoming super important) and expansion - the "build and grow" ecosystem model of SEO vs. "test and tweak"
This corresponds nicely to some recent data:
We also touched on the rise of AI being used as search engines and the parallel rise in white noise and clickbait regarding SEO being "dead" (again) but a closer look at the data gives us a different picture:
This is a visual graphic on the rise on ChatGPT and looks scary given every platform is down MoM but only tells a piece of the story which is the Achilles heel of data in general:
A week before this, I was looking at the same data through SimiliarWeb which tracks the top sites in the world and tells a similiar story with more context - even though most platforms are down MoM, and ChatGPT is the only thing growing in the green, it's only at 5 billion visitors approx. while Google and YouTube remain the top search engines at roughly 80 billion and 30 billion respectively:
On top of that, there seems to be some hesitation from people in terms of using the AI engines for purchasing decisions - this is from a February 2025 study:
So in essence, people still prefer to buy through Google and use the AI for info - I suspect this will grow and evolve over time as people become more comfortable but in the meantime, I think the AI's being used as search engines provide an additional opportunity where we can leverage some of the custom strategies we've developed to offset Google clipping any traffic and even build upon it in the aggregate.
It's always dangerous to put our eggs in one basket and this might even help diversify our traffic assets too, especially in combo with YouTube which is a source of data for the LLMs, while building brand visibility over the long run.
I'm also developing and testing new methods that use AI with some very promising early results along with tools that will are able to track "brand visibility" across ChatGPT, Perplexity, etc. with actionable steps to cover topical gaps (stay tuned).
Overall: I think if we cross reference a few quality tools that track AI/LLMs in different ways with what Google has coming in GSC + use these custom AI strategies and diversify our assets, we'll be able to draw some reasonable conclusions and build our AI presence in a multitude of ways. As I said before, those who sculpt and shape the AI will likely be the most successful with many of our methods being custom exclusives and more being tested/developed for staying ahead of the curve.
This helped everyone understand the landscape much better and it looks like that SEO will be evolving as a pillar of AI with additional layers added on for more opportunities for anyone who understands how they work vs. give in to the clickbait doom and gloom. I have test sites growing 2000% in 3 months - so the data is only there to upgrade your approach like a software has to update. Catch up or get left behind!
Hope this helps anyone wondering about AI + SEO. Feel free to reach out if you have any questions!
Cheers,
Louis
Just wanted to drop in this guide I have been sharing with clients as well as my team and getting great feedback on. It touches on some of what the latest data shows in regards to ranking in the AIOs and tries to cut through all the noise/clickbait that's been going on. Thought I would share here as it could be helpful in conversations with clients. There's a lot going on and it's fast evolving but hopefully this helps on some way.
From that post:
Certain elements of the glossary method, data driven optimization and other SEO methods play right into the AIO algorithm according to the latest research. It looks like we were roughly 2 years ahead of the game when developing these methods. This also corroborates some of my own research into the AI patents. We might want to keep some of these pieces in mind as we're crafting new content to enhance the probability of showing up in those AI Overviews and even bring over some of these glossary "components" even if not full fledged pages. Schema can help too as it's also structured data and acts as a clarification mechanism to Google - almost like "cliff notes". But the simple presence of any one factor is not enough.
These are formatting cues that are part and parcel to my glossary process when I craft the content using my custom AI model/process and confirmed by some recent data according to Search Engine Journal:
- headers
- tables
- bolding
- lists
- bullet points
- summaries
- FAQs
- schema
All of these can stack as signals and structural cues which make it easier for the AI (and Google as well) to crawl the content and understand it.
That's why we see many of our clients glossary pages (and power pages) rank in the AIOs:
Additional Tips - writing snippet optimized, clear, concise answers to queries:
Think also brand (becoming super important) and expansion - the "build and grow" ecosystem model of SEO vs. "test and tweak"
This corresponds nicely to some recent data:
We also touched on the rise of AI being used as search engines and the parallel rise in white noise and clickbait regarding SEO being "dead" (again) but a closer look at the data gives us a different picture:
This is a visual graphic on the rise on ChatGPT and looks scary given every platform is down MoM but only tells a piece of the story which is the Achilles heel of data in general:
A week before this, I was looking at the same data through SimiliarWeb which tracks the top sites in the world and tells a similiar story with more context - even though most platforms are down MoM, and ChatGPT is the only thing growing in the green, it's only at 5 billion visitors approx. while Google and YouTube remain the top search engines at roughly 80 billion and 30 billion respectively:
On top of that, there seems to be some hesitation from people in terms of using the AI engines for purchasing decisions - this is from a February 2025 study:
So in essence, people still prefer to buy through Google and use the AI for info - I suspect this will grow and evolve over time as people become more comfortable but in the meantime, I think the AI's being used as search engines provide an additional opportunity where we can leverage some of the custom strategies we've developed to offset Google clipping any traffic and even build upon it in the aggregate.
It's always dangerous to put our eggs in one basket and this might even help diversify our traffic assets too, especially in combo with YouTube which is a source of data for the LLMs, while building brand visibility over the long run.
I'm also developing and testing new methods that use AI with some very promising early results along with tools that will are able to track "brand visibility" across ChatGPT, Perplexity, etc. with actionable steps to cover topical gaps (stay tuned).
Overall: I think if we cross reference a few quality tools that track AI/LLMs in different ways with what Google has coming in GSC + use these custom AI strategies and diversify our assets, we'll be able to draw some reasonable conclusions and build our AI presence in a multitude of ways. As I said before, those who sculpt and shape the AI will likely be the most successful with many of our methods being custom exclusives and more being tested/developed for staying ahead of the curve.
This helped everyone understand the landscape much better and it looks like that SEO will be evolving as a pillar of AI with additional layers added on for more opportunities for anyone who understands how they work vs. give in to the clickbait doom and gloom. I have test sites growing 2000% in 3 months - so the data is only there to upgrade your approach like a software has to update. Catch up or get left behind!
Hope this helps anyone wondering about AI + SEO. Feel free to reach out if you have any questions!
Cheers,
Louis
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