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Growth Industrial Manufacturing

A market-facing rebuild that turned restructuring into stronger industrial positioning.

NDA helped AMN pair rebranding, SEO, website strategy, and institutional media into a more visible and commercially effective digital system.

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Client Testimonial

A direct client statement
before the long-form story.

"We are delighted with the results obtained in our collaboration with New Discovery Agency. Their strategic approach and ability to understand our needs helped us strengthen our image and reach our business goals."

Victor Corella · Founder, AMN Quality Solutions
Overview

AMN was not starting from zero. It already had decades of operational credibility. The challenge was making the market see that credibility clearly and quickly.

AMN Quality Solutions had grown into a broader industrial-services organization with capabilities spanning quality, logistics, warehousing, and advanced manufacturing. But as the company restructured, its digital presence lagged behind the scale of the business and the ambition of its next stage.

The rebuild combined Market Intelligence, SEO & GEO, and Content Production so the site, search system, and sales-facing materials all told the same commercial story.

NDA used brand strategy, search optimization, web development, and institutional content to turn that transition into a more coherent commercial platform. The work had to improve visibility, but it also had to help sales teams present AMN with more authority.

The Challenge

A growing company needed
a sharper market narrative.

AMN needed to define target audiences more clearly, understand the competitive landscape in detail, and explain a broad service portfolio without diluting the brand. It also needed to communicate advanced capabilities in a way that felt credible to industrial buyers evaluating real partners.

Without that clarity, growth carried friction. The company risked being harder to find, harder to differentiate, and harder for commercial teams to position effectively in the field.

The Approach

Research first,
then rebuild the sales-facing layer.

NDA started with market research, message definition, and audience segmentation. From there, the engagement extended into SEO and content strategy, brand refinement, a more usable website, and institutional media that helped communicate both capability and culture.

The goal was not to produce disconnected assets. It was to build a system where the website, search footprint, brand language, and sales materials reinforced one another across digital and physical touchpoints. That same operating logic shows up in the insight cluster around SEO and LLM discoverability and topic clusters.

Results & Impact

Search gains and sales support,
working together.

4,646.45%
traffic growth
SEO execution dramatically expanded discoverability
2,055%
keyword growth
AMN moved from low presence to ranking for strategic terms
Top 3
regional positioning
the brand strengthened its competitive standing

AMN gained more than traffic. It gained a clearer corporate image, a friendlier and more complete website, and better tools for sales conversations. That combination helped the brand show up more effectively in search, at events, and in direct business development.

Selected Assets

The strongest deliverables supported rebranding,
website clarity, and sales communication.

  • AMN rebranding system
    The rebrand system gave AMN a cleaner industrial identity that could support its broader service portfolio with more confidence.
  • AMN website redesign overview
    The redesign translated the new positioning into a more complete and more navigable web structure for prospects and buyers.
  • AMN website on laptop
    Device-based website views made the improved user experience tangible instead of leaving the redesign at the level of abstract strategy.
  • AMN content planning grid
    The planning grid shows that the search and content work was systematic, not improvised.

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Institutional Video

A different proof type here:
brand and sales presentation, not testimonial.

Institutional video used to support the brand’s commercial presentation. It serves a different purpose than the client testimonial placed near the top of the page.

Related questions

What is the difference between AI-assisted content and AI-generated content?

AI-assisted content uses AI for research, outlining, drafting, and editing — with human judgment governing strategy, accuracy, and voice. AI-generated content is produced and published with minimal human review. The distinction matters for E-E-A-T: Google's quality signals reward demonstrated human expertise; content that reads as auto-generated without editorial review tends to underperform in both rankings and conversion.

How do you build a content program that supports both SEO and sales enablement?

The overlap is in problem-aware content: articles, guides, and comparisons that address the questions buyers ask during evaluation. SEO wants this content to rank for those queries; sales wants it to share with prospects who raise those objections. A content calendar built from demand signal data and sales call recordings will naturally produce assets that serve both goals.

What data sources does a market intelligence system use for B2B targeting?

Effective B2B market intelligence draws from first-party CRM and behavioral data, third-party intent platforms (Bombora, G2, TechTarget), search demand signals, social listening, and competitive pricing and positioning feeds. The value isn't any single source — it's the synthesis layer that turns fragmented signals into a coherent targeting picture.

How often should a B2B company refresh its ICP definition?

At minimum, quarterly — and immediately after any significant shift in win/loss patterns, a new product launch, or a change in the competitive landscape. ICPs built once and never revisited drift away from actual buyer behavior within two to three quarters.

What is Generative Engine Optimization (GEO) and why does it matter for B2B brands?

GEO is the discipline of making a brand visible in AI-generated answers — in tools like ChatGPT, Perplexity, Google AI Overviews, and Gemini. As more B2B buyers begin research in AI interfaces rather than search boxes, brands that don't appear in those answers are invisible at the research stage. GEO is not a replacement for SEO; it's an additional visibility layer.

How is GEO different from traditional SEO?

Traditional SEO optimizes for ranking in a list of links. GEO optimizes for being cited, paraphrased, or named in an AI-generated answer. GEO requires strong entity authority, structured data, consistent brand signals across the web, and content that LLMs can parse and summarize accurately — not just content that ranks for keywords.

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