MANUFACTURING CLIENT-ACQUISITION CASE STUDY
MarketMagnetix built a connected commercial, search, AI-discovery, content and conversion system for an advanced manufacturing technology company serving aerospace, defense and other regulated industrial markets.
Full package launched May 27, 2026. The first RFQ was recorded June 30, 2026 at 8:16 p.m.
The client is an advanced manufacturing technology company serving multiple technical and regulated markets. Identifying details are withheld because of the company’s work, investment activity and commercial relationships.
The engagement centered on building a client-acquisition system around documented capabilities, target industries, buyer questions and RFQ paths.
The website was organized around technologies, manufacturing capabilities, applications, industries and buyer requirements.
Research identified target markets, buyer groups, commercial use cases, search demand, competitors and content gaps.
Capability pages, industry pages, technical articles, FAQs, white-paper content and internal links supported conventional and AI-assisted research.
RFQ paths, contact actions, search reporting and AI-visibility monitoring were connected to the commercial content.
Reporting date: August 13, 2026. Measurement tools identified by MarketMagnetix: DataForSEO and Ahrefs.
tracked keywords on Page 1 of Google
tracked keywords at an average position of 3.0 or better
tracked keywords at an average position of 1.0
model-level Found results
53 ChatGPT, 28 Gemini and five Perplexity results across monitored prompts.
from full-package launch to the first RFQ
The engagement connected technical positioning, market research, Google visibility, AI discovery, evidence content and RFQ paths around the same commercial targets. The result set includes visibility indicators and a documented RFQ milestone. It does not establish that every later sales conversation was caused by a single page, channel or campaign.
This section identifies what the submitted case materials establish and what the published page does not claim.
Advanced manufacturing technology company serving technical and regulated markets. MarketMagnetix built a connected commercial, search, AI-discovery, content and conversion system.
Full-package launch: May 27, 2026.
First recorded RFQ: June 30, 2026 at 8:16 p.m.
Reporting date: August 13, 2026.
A keyword export with 82 tracked rows, an AI export with 130 prompt rows and the recorded interval from full-package launch to the first RFQ.
The case does not state that every later sales conversation came from one page, channel or campaign. It does not present contract value or closed revenue.
The keyword export records 82 tracked rows with average Google positions from 1.0 through 10.0. Twenty-one tracked keywords averaged position 3.0 or better, and nine averaged position 1.0.
The AI export contains 130 prompt rows, 86 positive model-level Found results and 66 prompt rows with at least one positive result. The first RFQ was recorded 34 days after the documented full-package launch.
MarketMagnetix identifies DataForSEO and Ahrefs as the measurement tools used for the reported keyword and AI evidence. The 86 figure counts model-level Found results, not unique prompts, branded Google searches or branded-search results.
The system was deployed in segments. May 27, 2026 is the full-package launch date, not the start date of every component.
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| Measure | Recorded result | Definition or limit |
|---|---|---|
| Google visibility | 82 tracked Page-1 keywords; 21 at 3.0 or better; 9 at 1.0 | Average positions in the identified keyword export |
| AI discovery | 86 positive model-level Found results | Across 130 monitored prompt rows; not 86 unique prompts |
| Commercial milestone | First RFQ recorded after 34 days | Measured from full-package launch on May 27 to June 30, 2026 |
MarketMagnetix documented the client’s capabilities and target markets, organized the website around buyer requirements, conducted market-entry and competitor research, developed search and AI-discovery content, connected internal links and RFQ paths, and monitored Google and model-level visibility. Deployment occurred in segments, so the full-package launch date is not the start date of every component.
