AI Visibility

How do websites get recommended by AI?

Through structure, content, and trust.

Daveed Valencia

Structure and content tell the model who you are, trust signals help verify you.

Structure
The technical building blocks.

Crawlers need to access and scrape your content to find all relevant information about your site. Clean source code, lightweight pages, lower token counts, schema, meta tags, and semantic HTML all play a role.

Content
If you are guessing, so is AI.

Content is what is visibly displayed on your site. If someone visits your homepage, will they understand your business or be left wondering? Content matters, it's how you tell AI who you are and what you offer.

Trust
Trust but verify.

A phone number, email, or address signals you're operational. A directory listing, a Yelp profile, a social account pointing back to your site. The more signals, the more credible.

Three conditions determine whether AI recommends a website

A repeatable framework built around three core foundations, tested across dozens of websites to identify what earns AI citations. Below, we apply it to an art identification site built from scratch with zero authority.

Read the full framework →
01
Structure
Crawlers must be able to scrape your site.
02
Visibility
Content with trust signals lead to being eligible for AI recommendations.
03
Discoverability
Under what circumstances are you the solution to a users problem.

I built WhatsMyArtWorth.com from scratch to test whether the framework actually works. No backlinks. No social media. No founder bio. No authority of any kind. Just structure, visibility, and discoverability applied from day one.

The site earned its first ChatGPT citation on day 33. The detailed findings are published as a research briefing.

Read the findings →
33 Days to first ChatGPT citation
0 Backlinks, social profiles, or authority signals
5,882 Homepage tokens vs 112,437 for top competitor
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