Ryland M Bacorn

speaker

544 appearances 4 recordings 1 series first heard Nov 2025 last heard 20 Nov

Ryland M Bacorn’s voice in public audio — every appearance, attributed to the second.

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recordings per month · last 12 months

Recordings per month over the last 12 months — 4 in all, peaking in Nov 2025 with 4.

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Voices of Search // A Search Engine Optimization (SEO) & Content Marketing Podcast · Working w/Embeddings & Building Your Own Code · 17 Nov 2025 podcast

And so that's where the fun is to try to get into these chatbots.

But we're not diverging from helping companies become more relevant for these new spaces.

We're still applying some of the same tactics.

We just have an additional lens of trying to understand how to represent this and how to measure this.

And so that's where building your own custom tools is really, really helpful.

So there's a lot of different applications beyond content.

So obviously we want to solve for SEO, but if you're building tools that help turn your web's product into vector embeddings, you can get a lot more out of it.

So you can apply this to your site search, for instance.

So most site search products aren't that good because obviously they're not Google.

But if you were to run a search against a vector database, for instance, with your product catalog,

you're going to get similar items.

So you're searching for a winter coat, but you're not necessarily searching for like the layers that are applicable.

If you were to search a vector database, you would find other related products in that way.

So that's something that's beyond content.

Additionally,

sticking on the e-commerce here, the recommended products that you're going to find that I mentioned earlier, those are going to be things that are semantically similar if you're using a vector database as opposed to just a regular old database of here are the things that are in this product category.

Then in SEO, we can do a lot of things where we're actually, we can measure the distance of where your content, your particular topic is to

a primary query, the related queries, the supporting queries.

I even built a tool that can help you evaluate whether or not all of those related queries are valuable.

Everybody's gotten a big, massive keyword list from all the tools.

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