Industrial AI visibility audit
A controlled 50-query test across supplier discovery, process fit, quality, applications and sourcing risk—mapped against named competitors and cited sources.
Managed GEO operations
We operate the full program for OEM and ODM companies: define the commercial target, diagnose the public footprint, capture factory evidence, produce and place expert-reviewed content, then use each review cycle to improve the next.
Three connected workstreams
Our model connects what buyers ask, what AI systems can retrieve, what your factory can prove and what sales needs to qualify. The work is run for you, with factual approval staying inside your team.
A controlled 50-query test across supplier discovery, process fit, quality, applications and sourcing risk—mapped against named competitors and cited sources.
We restructure crawl paths, capability relationships, internal links, schema and page roles so your public evidence forms a coherent manufacturer entity.
Subject-matter interviews become capability briefs, engineering answers, application pages, comparison tools and original research—not generic blog volume.
Reference launch cycle
The cadence adjusts to source readiness, technical complexity and market scope. Progress is defined by assets and decisions delivered—not by account setup.
Align the priority offer, market and buyer; benchmark the query set and identify website, evidence and conversion constraints.
Create the approved fact boundary, evidence library, entity relationships and first buyer-question production map.
Research, draft, review and release decision-useful assets while logging where each approved version is published.
Assess implementation, source coverage, query movement and commercial signals; set the next evidence and distribution priorities.
Delivery infrastructure
The operating layer makes delivery consistent and inspectable. It supports the specialists doing the work; it is not a self-service product handed to your employees.
Public pages, specifications, certificates, PDFs, documents, decks, spreadsheets and approved images enter one project boundary.
Source material is organized into reusable facts with provenance, ownership and clear limits on what may be published.
Briefs, source packs, expert input, candidate drafts, revision notes and approvals follow a visible task state.
Each asset is reviewed for factual support, buyer fit, industrial depth, extractability, relevance, structure, language and originality.
Final assets remain available for website publishing, internal review, sales enablement and approved external channels.
Published destinations, version status, implementation issues and next-cycle actions remain traceable across the engagement.
| Workstream | Questions answered | Concrete output |
|---|---|---|
| Business focus | Which offer, buyer, program type and market deserve the first cycle? | Goal brief, scope boundary and success signals |
| Baseline | Where does the brand appear today, and what blocks discovery or trust? | Controlled benchmark, website diagnosis and priority backlog |
| Knowledge | What can the company prove publicly without exposing confidential IP? | Approved fact boundary, evidence library and capability relationships |
| Production | Which buyer decisions deserve a page, comparison, answer or research asset? | Briefs, expert capture, drafting, eight-part review and final assets |
| Placement | Where should each approved asset live and how should it connect? | Publishing plan, internal links, channel record and version archive |
| Improvement | What changed, what remains missing and what should be built next? | Query retests, issue review, commercial signals and next-cycle plan |
Our specialists own the operating burden: query research, source organization, briefing, drafting, quality control, visual planning, publishing coordination and review. A shared workflow layer records source ownership, task state, approved versions and distribution history, so the program is inspectable without asking your employees to become GEO operators.
Your leadership team stays focused on three decisions: whether the commercial priority is still right, whether the technical facts are accurate, and whether the agreed assets and improvements are moving forward.
OEM and ODM buyers rarely search with one tidy category phrase. Their questions mix tolerances, materials, standards, annual volumes, tooling ownership, change control, testing, geography and supply risk. That is why our content plans follow sourcing decisions rather than a generic “blog keyword” calendar.
We do not guarantee an AI-generated recommendation, publish fabricated factory expertise, create doorway pages or report simulated visibility as a real result. Platform outputs are variable; the work is to improve verifiable inputs and observe them consistently.
The managed program does not replace search fundamentals with an AI-only layer. Read SEO vs GEO for manufacturers for the shared foundation, distinct measurements and practical investment sequence.
Engagement fit
Fit is assessed before scope. That protects both teams from starting a content program without the facts, access or business focus needed to make it useful.
You can name one capability, target market and type of RFQ the first cycle should influence.
Engineering, quality or sales owners can supply source material and approve public technical claims.
If every useful fact must remain confidential, a public evidence program cannot represent the capability honestly.
No operator controls independent AI answers. The engagement improves inputs and measures observable outcomes.
Find the first constraint
Not sure whether the foundation is ready? Start with the free assessment. Ready to test the market? Request the benchmark.