We document your result,not your factory's secrets.
German and European buyers look for you in the search engine and in the AI assistant. What they find there is often not your own account.
Absence is not a neutral outcome
The sources feeding answers to sourcing queries are mostly B2B directories and list articles written by competitors in other countries. The manufacturer is either absent from that chain or represented through someone else's text with unverified details. The gap is always filled by another text, and its errors speak in your name.
- Three types dominate the source pool: B2B directories, easy to read because they carry structured company fields; list articles by foreign competitors who invest deliberately in these queries; and, rarely, manufacturers' own pages.
- Company details in such list articles are often unverified: founding year, capacity and certification status may be wrong. Once an error enters the chain, it keeps speaking in the manufacturer's name.
- Information on the company's own site is frequently not machine-extractable: capacity, tolerances, machine park and certificates are either absent or buried in a PDF catalogue.
Where the buying decision is made
The findings below come from publicly available research and each is named with its source. They are not TYS measurements.
Business buyers have completed roughly 70 percent of their buying journey by the time they first contact a vendor; 94 percent of buying groups have already ranked their favourites.
55 percent of business buyers compare vendors directly inside AI tools, and 47 percent have AI draft the internal justification document.
Among technical buyers, the share who never use AI fell from 42 to 31 percent within a year; the final decision nevertheless still closes through samples, audits and face-to-face contact.
Roughly 45 percent of German B2B marketing budgets still go to trade fairs.
What we film: result-proof framing
What a competitor can copy is the process; what it cannot copy is the measured result. The framings below prove capability and protect trade secrets at the same time.
Measuring room
The moment of measurement, the instrument display, the protocol. The measured surface is visible, not the whole part.
Testing and durability
Surface roughness, hardness, leak testing, tensile testing. The rig is visible, the part geometry stays anonymous.
Certificates and calibration
Quality documents, audit day, calibration labels. Entirely risk free and directly verifiable.
Material traceability
Certified material intake, batch number, traceability label and record flow.
People and craft
The skilled worker's hands, the operator at the panel, the moment of instruction. Only with written, channel-specific consent.
Macro and texture
Chip formation, surface finish, coating texture. The close-up shows craft and hides geometry.
Shipping standard
Packaging, labelling, load ready for dispatch. Customer-identifying details are covered.
Benchmark part: the zero-risk option
The cleanest way to prove capability without putting a customer part in frame is a benchmark part designed specifically for you: a workpiece of known difficulty that belongs to no customer.
Its design, machining process, measurement results and tolerances can be published freely. Neither a non-disclosure agreement nor a customer approval is needed, because the part is yours.
The approach is proven in the field: manufacturers who demonstrate capability on self-designed demonstration parts have built extensive evidence archives without ever touching a customer secret.
Confidentiality protocol
This protocol is a standard annex to the proposal and sits on the table in the first meeting. Its purpose is that the objection is answered before it is raised.
Before the shoot: zone map
During the walkthrough, red and green zones are marked together. In red zones the camera stays off. A mutual non-disclosure agreement is signed where needed.
Before the shoot: consent management
Written, channel-specific consent is obtained from every person filmed; website, social media and print are approved separately. For people without consent, framing without faces is planned. Consent can be withdrawn at any time.
During the shoot: veto on set
A representative you designate is present on set and can stop filming at any moment.
After the shoot: approval per take
After the edit, every take and every text to be published goes into your written approval. Nothing is published without it.
Customer and brand details
Customer names are used only with written consent. Customer parts are either not shown at all or shown with anonymised geometry. Machine brands appearing in the background is normal; no claim is built on them.
Measurement: what is committed
Production alone is half the work. Measuring what happens after publication is the second half.
- Before the work starts, the zero line is measured: what the four systems (ChatGPT, Gemini, Claude, DeepSeek) say about the company today, which sources they cite and what they state incorrectly. That is the inventory of false statements.
- After publication, the same question set is measured again with the same number of repetitions and on the same weekdays. If the protocol changes, the comparison is void, which is why the set is frozen.
- The report declares a noise band. AI answers are probabilistic; movements below the band are recorded as noise, not as change.
- The language of causality is tiered. The strongest evidence is a system citing the page we published as a source. Temporal alignment is the second tier. Where only correlation exists, the report says so plainly and logs the model updates of that period.
Frequently asked questions
Our customer is an automotive OEM and our contract restricts imagery.
Purchasing agreements of large customers treat manufacturing knowledge as confidential information, and some tie even naming the business relationship to written approval. That is why we plan from the outset without any customer part in frame: result-proof framing and a benchmark part. Your contract sets the scope and we work within it.
Will competitors learn our method from the video?
The concern is valid and sits at the centre of the plan. What we show is not process parameters but measured results: tolerance, test output, certificate, traceability. Line balancing, fixture design and process parameters stay in the red zone.
Do we have to stop production?
No. The shoot is planned as a flow that does not interrupt manufacturing and typically takes one day. Television formats that show factories from the inside have worked this way for decades.
We already attend trade fairs. Why would we need this?
The fair is not an objection; it is precisely the reason. The buyer who takes your card at the stand searches for you afterwards in the search engine and in the AI assistant. There they find either nothing or an outdated website. The fair creates contact; evidence supports the decision. The same material also serves the next fair.
We already have German-language content.
We ask two questions: is it first-hand, and is it measured? Stock imagery and general promises carry no new information to AI systems. The audit shows in numbers how visible your existing German content is today across the four systems and in search. If the result is good, we say so.
We have an agency. Would this overlap?
No. We produce the material itself: the shoot, the measurement record, structured data and distribution. The resulting asset package can be handed to your existing agency and makes its work easier.
Measure first, then decide
The first step is not a shooting day but a measurement: what the four systems say about your company today. We do not propose production without seeing that picture.
Request a visibility audit