Are Medium and Google Sites Better for AI Search Than Your Own Subdomain?


Short answer: not usually.

A lot of people still mix up traditional SEO strength with AI search citations. They are not always the same thing. Yes, Medium and Google Sites sit on strong domains. But that does not mean AI search will pick those pages as the source it wants to cite for your brand.

What we keep seeing is this: AI search often pulls from the brand's own site, press releases, review sites, business directories, and niche directories. That is why a branded subdomain can be a smarter place for blog content than a third party Web 2.0 property.

The goal is not just to publish on the strongest domain we can find. The goal is to make our brand more likely to be the source AI search references.

Table of Contents

AI search citations are not the same as old SEO authority

This is the part many people miss.

When AI search gives an answer and includes sources, those sources are basically brand mentions and citations. For a local business, that usually means some mix of these data points:

  • Business name
  • Address
  • Phone number
  • Website

A citation is just a published reference to the business. A structured citation is something like a directory listing. An unstructured citation is a mention somewhere else on the web.

So when AI search needs a source, it may cite:

  • The brand's own website
  • A review platform like Yelp
  • A press release site
  • An industry directory
  • Another trusted third party property

That is why we should stop thinking only in terms of domain authority. A high authority platform is not automatically the one AI search will choose.

Why Medium and Google Sites are not always the best fit

Can Medium or Google Sites help with traditional SEO? Sure. They can still have a place.

But if our main goal is AI search visibility, we have to pay attention to what is actually getting cited. And in many local search cases, Google Sites and similar Web 2.0 pages are not the sources that keep showing up.

What does keep showing up?

  • Branded domains
  • Yelp
  • Press releases
  • Niche directories
  • Relevant local and industry sites

That is the real clue. We do not need to guess. We can run AI search prompts for a business's services and locations, then study the sources that appear again and again.

If AI search keeps citing Yelp for local service queries, we want our clients on Yelp. If it keeps citing a niche directory, we want our clients there too. If it cites branded sites often, then giving the brand its own content hub on a subdomain makes a lot of sense.

Got SEO Questions? Get answers every week at 4pm ET at Hump Day Hangouts. Ask questions ahead of time, or live – just go to: https://semanticmastery.com/hdho (bookmark this!) 10+ years of insights given every week!

Get your checklist to help get better results with GBPs, faster. 

Need DFY services for you Local SEO projects? Head over to Semantic Links.

What a better content setup looks like

We like to separate content by search intent.

Main website for bottom of funnel pages

The root domain should focus on pages with a clear conversion goal. That means:

  • Service pages
  • Location pages
  • Sales pages
  • Commercial and transactional queries

These are the money pages. They are the pages we want ranking when someone is ready to hire, call, or buy.

Subdomain for informational blog content

A branded subdomain is a great home for:

  • Top of funnel content
  • Middle of funnel content
  • Problem aware searches
  • General education content

This setup helps us keep informational content from getting in the way of our conversion pages. It also increases the odds that, if AI search cites the content, the citation points back to the brand's own domain.

That is the big reason for the shift. It is not that third party platforms have no use. It is that a branded subdomain can do a better job of supporting the brand itself in AI search.

The real danger of blogging on the root domain

This is where many local SEO campaigns go off the rails.

For years, the answer to weak SEO performance was simple: more words, more pages. If rankings slipped, people added blog posts. If that did not work, they added even more blog posts.

That old habit is still causing damage.

When we publish lots of blog posts on the main domain around the same service topics, those posts can start competing with the pages that actually matter. Now Google sees:

  • One service page
  • Several blog posts on related versions of the same topic
  • Multiple pages that all seem relevant to the same query

That creates confusion. Instead of one strong page clearly tied to the topic, the site now has many pages fighting each other. The result can be weaker rankings for the pages that should be leading.

And that means the client may be paying for content that hurts performance.

That is why moving blog content off the root and onto a subdomain can be so helpful. If blog posts compete with each other over there, we do not care nearly as much. What we do care about is protecting the service and location pages on the main site.

Topic-level optimization beats keyword stuffing

Another old SEO habit is building separate pages for every tiny keyword variation.

That made more sense years ago. It makes much less sense now.

Search engines are much better at understanding topics and entities. If we have one page well optimized for a topic, that page can be relevant for many related query variations, even if every phrase is not written word for word on the page.

That means we do not need:

  • One page for every small keyword twist
  • One post for every longer tail version of a service
  • Dozens of overlapping pages on the same subject

We should think in terms of topic optimization, not just keyword matching.

When we build pages at the topic level, we reduce cannibalization and give search engines a cleaner signal about which page should rank.

How to find the right places for AI search brand mentions

If we want better AI search results, here is the simple play:

  1. Search for the client's products and services with location modifiers.
  2. Look at the sources AI search keeps citing.
  3. Make a list of those sites and platforms.
  4. Get the client referenced on the same kinds of properties.

These often include:

  • Yelp
  • Press release sites
  • Industry directories
  • Geographically relevant local sites
  • Topically relevant niche platforms

For example, in home remodeling, a niche site like Houzz can be a strong fit because it is both topically relevant and well known. That combination matters a lot.

If we can pair authority with relevance, even better.

Web 2.0 properties still have a job

This does not mean we should stop using branded Web 2.0 assets.

They can still help. We just should not expect them to be the main source AI search cites all by themselves.

Web 2.0 properties become stronger when we build authority into them in two ways:

  • Topical authority by adding relevant content
  • Link authority by building proper links to them

Doing both is best.

If we only create the profile or basic page and leave it there, it may not even show up as a meaningful backlink in many tools. But once we publish content on those properties and support them with relevant links, they become much more useful.

That is one reason many agencies use a mix:

  • Most blog content on a branded subdomain
  • Some content on branded Web 2.0 assets
  • Link building to support those external assets

If we want tools, checklists, and other help with local SEO systems, the Local SEO Toolkit and the full list of agency resources are a good place to start.

The practical takeaway

Here is the simple version.

  • Use the main site for service and location pages that drive leads.
  • Use a branded subdomain for blog content tied to informational intent.
  • Study which sites AI search already cites in your niche.
  • Build citations and brand mentions on those same types of properties.
  • Keep using Web 2.0 assets, but support them with content and links.

The point is not to chase the biggest domain just because it looks strong on paper.

The point is to increase the chance that our brand becomes the source AI search wants to reference.

FAQ

Should we stop using Medium and Google Sites completely?

No. They can still help, mainly as branded assets that support off-page SEO. They are just not the first place we would focus if the goal is direct AI search citations.

Why use a subdomain instead of putting blog posts on the main site?

A subdomain helps separate informational content from conversion pages. That lowers the risk of blog posts competing with service and location pages on the root domain.

What kinds of sites does AI search cite most often for local SEO?

We often see branded websites, Yelp, press releases, and niche directories. The best approach is to search the target services and locations, then track which sources appear most often.

What is the difference between bottom of funnel and top of funnel content?

Bottom of funnel content targets people ready to take action, such as hiring a service provider. Top and middle of funnel content targets people still learning about their problem and options.

How do we make Web 2.0 assets stronger?

We make them stronger by adding relevant content to build topical depth and by building proper links to them. Using both methods usually gives the best result.

Where can we learn more about local SEO systems?

For deeper training and strategy, the MasterMIND program covers local SEO, Google Business SEO, and agency growth in much more detail.