Gemini will not quote you, the first level is not content quality, but whether it recognises you as an entity in Google knowledge. Physical trust determines a more proactive question: when users ask, Gemini chooses a credible source, do you count as an entity with identity, proven provenance and multiple cross-checks? It's written as well as possible, as long as the machine doesn't know who you are, it would rather quote a more certain target.
Why would Gemini treat physical trust as an entry ticket?
Gemini's answer is based on a grounding (local) system: it goes back to Google's Search and Knowledge Map to verify what it's about to say, rather than creating a single model. The bottom layer allows it to favour sources that can respond to "known entities". If your company doesn't have a node in the knowledge map, or if the node information is fragmented and contradictory, Gemini will identify you as an uncertain source and turn to the competition that it recognizes.
This explains a lot of B2B SaaS confusion: while content is more professional and more up-to-date, Gemini quotes a thin old brand. The difference is often not in text, while the old brand has Wikipedia entries, Wikidata ID, a consistent LinkedIn and Crunchbase file, so it's a validated entity in the knowledge spectrum, and you're just a bunch of unrecovered URLs.
Make sure Google recognizes you now.
Do a baseline test before you do it, otherwise you don't know which piece you're missing. The following five items will take minutes to find out what the problem is:
- Search for the full name of Google to see if there is a Knowledge Panel on the right side; there is a panel, which means you're a confirmed entity.
- Search for brand names in wikidata.org to confirm if there are matching physical items and QIDs.
- Just ask Gemini, "What's your brand?" Watch if it doesn't answer, answer right, or confuses you with someone else.
- Whether the inspection network Organisation structure data has been output aameAs and the URL to which it points is still alive.
- Whether the company name and the description on official networks, LinkedIn, Crunchbase, community accounts are identical word by word.
SameAs: string scattered identities into the same entity
SameAs is the attribute provided by Schema.org, which clearly tells the machine that "these addresses are about the same entity". In the official website’s Organization (Person) structure, sameAs is a web-based array of power nodes that can identify you. It upgrades the scattered files from "possibly relevant pages" to "certainly belonging to the same entity".
The sources of entry into the sameAs have a clear hierarchy: the highest priority is Wikipedia and Wikidata, followed by industry databases such as Crunchbase, LinkedIn, and then official community accounts such as X, YouTube, GitHub. The point is not number, but probabilities: every connection has to be able to identify you in reverse and form a cross-reference. Filling the sameAs with irrelevant pages only dilutes the signal, making it more difficult for the machine to determine who you are.
Build the citation chain with Wikidata and authoritative sources
SameAs just announced that Google was going to be able to verify this announcement in the outside world, and the heart of this step was Wikidata. It's the foundation of the architecture of the knowledge map, the door is lower than Wikipedia, and companies that meet the level of interest can set up their own projects. When the project is set up, the columns such as official websites, product categories, year of establishment, location of headquarters, key people, etc., are filled out and each statement is accompanied by a reliable source, and these columns will be directly the structure of Gemini, who you are.
- Set up a physical project in Wikidata to complement the core columns of the official network, industry, establishment time, location, etc., each statement is accompanied by an external source.
- Let Crunchbase, LinkedIn describe the company in alignment with Wikidata, so no three versions of the company brief appear.
- Officials of the Organisation cameas point one by one to the above nodes and confirmed that these nodes are also connected to the official web.
- Continuing to accumulate natural references in third-party media and industry records, the entity has an external language, not just self-proclaimed.
Consistency of name and description: the entity cannot have two faces
When technology is done, the easiest thing to ignore is consistency. The same company is called "Tenten", in LinkedIn, "Tenten Co.", and in Crunchbase, with an old name, which could be broken into two or three diluted weak entities. The approach is to establish a set of official names, a standard corporate description, a major domain, followed verbatim to all nodes; the description can be fine-tuned by the number of words on the platform, but the core language and positioning terms should be fixed. The accumulation of trust in the field is slow, and the lack of consistency in the name at a time could have halved efforts for months.
Physical trust is not a one-time technical setup, but a long-term harvest of each identity piece of the company scattered over the Internet as a node recognized by the same machine.— Tenten GEO
Actual trust order from today
If the knowledge panel and Wikidata are available only in order, this is the first two locations to be found when Gemini is located; the second is a two-way connection between the network of officers and the nodes; and the last is a word-to-word alignment. It's like a lot of work to do before it becomes an entity. Most of the B2B team's gaps were not wrong, but never took the scattered identity information as a matter of fact. Gemini wants to know if you're looking at your brand right now, whether it's the knowledge panel or the sameAs, and you can have a 30-minute GEO diagnosis, and we'll point directly to your actual location in the knowledge diagram and the shortest hole path.
