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01SERVICES
Clear task. Specific work.
QuorumLab works with how AI systems represent companies, organisations and people.
If the task is already clear, you can go directly to the relevant service.
If the problem is visible but the cause is not, we do not choose a tool at random. In that case, we use the Navigational Method to establish what is shaping the picture first.
01
What we do
AI Visibility Baseline
A reference point before anything changes.
Captures how AI systems represent a company, organisation or person at a particular point in time. We look at what repeats, what appears outdated, where confusion occurs and how the picture differs across queries, systems, languages or markets. The Baseline creates a reference point that can later be compared with a new measurement.
Website & Data
Clarity at the source.
Checks how clearly the website explains who the company is, what it does, what products and services it offers, how the company, brands, products and people are connected, and how consistently this information is presented to search engines and AI systems. Where we find problems, the client receives a clear specification of what should change. QuorumLab does not replace the development team: technical implementation can remain with the client or their existing contractor.
Companies, Brands & Connections
When the facts are right but the links are not.
Sometimes the information is there, but the connections are unclear or wrong. AI may confuse a brand with a legal entity, associate a product with the wrong company, continue using an old name or mix up people with similar profiles. We identify where the confusion begins and which connections between companies, brands, products, people and external records need to be clarified.
Wikidata
Structured facts and the connections between them.
We review existing Wikidata records and assess what can be changed or added on a sound basis. QuorumLab can correct and expand existing records, create new records where sufficient verifiable information exists, improve connections between companies, brands, products and people, and work with relevant identifiers and external records. All work must follow Wikidata rules and be based on real, verifiable facts.
Wikipedia Eligibility
Start with notability, not assumptions.
The starting point is an assessment of notability under English Wikipedia's rules. We assess whether a company or person has sufficient significant coverage in reliable, independent sources. The review considers the quality of the sources, their independence, the depth of coverage and the extent to which they support notability. The result may be a Wikipedia Eligibility Report covering the current position, limitations and possible next steps. QuorumLab does not guarantee that an article will be created, published or retained on Wikipedia.
Reddit
Research first, presence second.
We first look at what already exists around the company on Reddit and whether it matters to the task. If Reddit is genuinely relevant, QuorumLab can help with research into the existing environment, an official presence, and building a community with clear disclosure of affiliation. We do not use hidden corporate accounts, fake reviews, purchased profiles or users presented as independent when they are not.
Owned Information Surfaces
One place where the information is clear.
Sometimes a product, project, research programme or specialist needs a separate official resource where information can be presented clearly and in one place. This may be a website for a product, project, research initiative, specialist or documentation resource. We create these resources only where there is a clear reason to do so. They are not disguised as independent sources — ownership and affiliation are disclosed openly.
AI Visibility Monitoring
Whether the change held.
After changes have been made, it can be useful to see whether the changes remain visible over time. Monitoring helps identify whether old information returns, whether new contradictions appear, whether representation changes across AI systems, and whether the changes remain consistent across languages and markets. Frequency depends on the task and on how quickly the information environment changes.
Illustrative platform view. Repeat measurement across AI systems after a change.
02
Not sure which service you need?
Sometimes the symptom is already visible, but the cause is still unknown.
In that situation, we do not decide in advance that the answer is a new website, Wikipedia, Wikidata, Reddit or another tool.
We use the Navigational Method.
- MEASURE
- MAP
- CHANGE
- MEASURE AGAIN
- ADJUST THE COURSE
If the task is already clear, there is no need to go through the full route.
03
What we do not promise
QuorumLab does not control external AI systems. We therefore do not promise:
- specific wording in ChatGPT, Gemini, Claude or Perplexity
- a guaranteed recommendation
- the same answer across all AI systems
- a guaranteed Wikipedia article
- a Google Knowledge Panel
- the removal of legitimate criticism
We also do not use fabricated sources, hidden affiliation, fake reviews or purchased accounts.
Before work begins, we define the scope, what the client will receive, the timing and how the result will be checked where it can be measured.
04
Where to start
Want to see what QuorumLab work looks like first?
Run a limited demo check using your own company or organisation. We review one or two relevant queries and send you two concise briefs.
COMMUNICATIONS BRIEF
What appears clear, weak, outdated or contradictory in the AI representation.
TECHNICAL BRIEF
Technical, structural and information signals that may need attention.
This is a demonstration format, not a full AI Visibility Baseline and not proof of the cause of the problem.