[Your Brand] on the AI shelf

Assistants opened 3 pages on your-brand.example across 10 answers and named [Your Brand] in none of them.

• https://your-brand.example/wellness/supplements/magnesium-glycinate-vs-citrate - read in 5 answers, named in 0
• https://your-brand.example/wellness/supplements/magnesium-heart-health - read in 4 answers, named in 0
• https://your-brand.example/wellness/supplements/take-calcium-supplements-for-best-absorption - read in 1 answer, named in 0

The page was read and quoted, so it is reachable, indexed and relevant to the question - it cleared every bar but the last one. What the assistant could not lift out of the text is the claim "this is [Your Brand], and this is what it does". That is what happens when a page speaks as "we" and the name appears only in the header, the logo and the tab title.

• Name [Your Brand] in the body text, not only in the header, the logo and the tab title
• Give the page a sentence an assistant can quote as-is: "[Your Brand] is X, suited to Y"
• Check the name is served as text rather than painted in by a script or baked into an image
• Add Organization/Product markup carrying the name - to an assistant that is a direct answer to "whose page is this"

These pages already clear the bar - they are read in 10 answers of the measurement. Nothing here has to be negotiated with anyone: it is the only work in this report that is entirely on your side.

[Your Brand] is not named in these answers at all, while competitors are credited with these properties:

• Third-party tested - 53%

These are the specific properties assistants cite when they justify a pick. They are visible, checkable, and mostly fixable.

• Where [Your Brand] lacks a property, treat it as a roadmap item and price the gap
• Where [Your Brand] has one but is not credited for it, the property is not readable - put it in page text and structured product data, not only on packaging
• Third-party testing and certification recur across this category; if [Your Brand] holds either, make it impossible to miss

The most direct lever in this report - it is the difference between being listed and being recommended.

Assistants opened 717 links to answer the Magnesium questions in this measurement, and they took them from a narrow set of domains: cymbiotika.com alone accounts for 6% of them. Not one of the 5 domains below turns up in an answer that names [Your Brand]: the assistants read them and named somebody else.

• cymbiotika.com - 6% of links, read in 17 answers, named in 0
• mitohealth.com - 4% of links, read in 32 answers, named in 0
• healthline.com - 3% of links, read in 24 answers, named in 0
• amazon.com - 3% of links, read in 17 answers, named in 0
• forbes.com - 3% of links, read in 18 answers, named in 0

Grounded assistants cite before they recommend. A brand that is not on those pages is usually not in the answer. The last number on each line is how often reading that domain ended in an answer that named you - a domain read this often with a low number beside it is a page the assistants already trust and you are missing from.

• Work the list from the top down - most-read first, and among those the ones where [Your Brand] is named least
• Submit products to the testing and review outlets in that list - they publish the pages assistants read
• Audit any listing [Your Brand] controls outright: it is the one page here you can change today

The slowest of these moves and the most durable. A placement lands in front of every answer that already opens that domain - cymbiotika.com alone is read in 17 answers of this measurement. Citation placement compounds: it feeds every future answer.