Turning Earned Authority Into AI Search Relevance

A North American manufacturing software company had quietly earned something many B2B brands are still chasing: AI search engines were citing its educational content hundreds of times. Its expertise was being recognised as authoritative. What AI engines were not yet doing was connecting that expertise to the company’s own software.

Find Your Audience’s GEO audit uncovered this pattern. Our team then rebuilt the company’s website in four phases. The project combined a full design modernisation with a new content architecture, and with AI search optimisation (AEO/GEO) designed to turn established subject-matter authority into commercial relevance.

The client is an established ERP provider serving discrete and mixed-mode manufacturers. Its platform supports production, inventory, procurement, material planning, shop-floor activity, costing and performance reporting.

Its customers operate in demanding environments, from project manufacturing and make-to-order work to configure-to-order and mixed-mode production. Buyers in this market often need to understand a manufacturing problem in depth before they are ready to evaluate the software that solves it.

That made the company’s extensive library of educational content one of its most valuable commercial assets.

The company had outgrown its website. Its expertise had expanded faster than its digital architecture, and the site’s design and messaging no longer reflected the depth of its offering.

Much of its strongest educational content sat within a general News section. Several in-depth guides were split across multiple URLs. And the relationship between those articles and the company’s software was not always made explicit.

In March 2026, Find Your Audience conducted a GEO audit of the site. It showed that AI engines already regarded the company as a trusted source of manufacturing knowledge.

The most-cited page on the entire site, with 353 citations, was the second part of a multi-part inventory guide. AI engines valued the content highly enough to cite it even in fragmented form.

Commercial visibility told a different story. Queries about the company’s own software and about choosing an ERP drew a small fraction of those citations, as did its core product pages. AI engines were extracting useful answers from the company’s articles without consistently carrying the connection to its software along with them.

A separate AI visibility report tracked 44 buyer-intent prompts in the US market between 23 February and 5 March 2026. It covered ChatGPT, Perplexity, Google’s AI search results and Microsoft Copilot.

• On the one purely educational prompt, about improving job costing for make-to-order manufacturing, the company ranked first and its site was cited 37 times.
• Across all 44 prompts, most of which asked which ERP best suits a particular type of manufacturer, the company was mentioned in only 4.
• When it was recommended, it was typically recommended first.

The company did not need to build authority. It had already earned it. In the words of our project team, AI tools weren’t making the jump from “this is a useful answer about manufacturing” to “this company is a solution for this manufacturing problem.”

Closing that gap became the central objective of the project.

Find Your Audience rebuilt the website over approximately six months, in four phases. Each phase took a section of the site through content revision, design and development before moving to the next. That kept the site coherent throughout and let insight from early phases shape later ones.

The completed site spans more than 50 core pages across six main areas, nine product and capability areas, and six manufacturing environments. Behind them sits a wider resource library of success stories, datasheets, videos, whitepapers and downloadable content.

The centrepiece of the work was a dedicated Content Hub, replacing the News section as the home of the company’s educational expertise. It is organised around seven content pillars:

1. ERP Selection & Implementation
2. Manufacturing Planning & Scheduling (APS)
3. Job Costing & Financial Control
4. Inventory & Traceability
5. Engineering & CAD Integration
6. AI & Smart Manufacturing
7. Fixed Asset Management in Manufacturing ERP

The hub uses a pillar-and-cluster structure. Supporting articles link back to their pillar, pillars link out to supporting content, and related articles connect where it helps the reader. Each legacy article was assessed individually: merged into a pillar, kept as supporting content, or repositioned as an entry point into a topic.

The AI search work, combining Answer Engine Optimisation (AEO) and Generative Engine Optimisation (GEO), focused on one goal. When an AI engine finds a useful article on a topic such as traceability or make-to-order costing, it should also understand how that topic relates to what the company’s software does.

Rather than guess which content to prioritise, the team optimised the ten articles that the audit showed AI engines were already citing most. Each received:

• clear key takeaways at the top, so AI engines can extract a concise answer
• conversational FAQs reflecting the questions buyers actually ask
• contextual links to related articles and to the relevant product capabilities

For proprietary reasons, the client preferred not to show screenshots of its software publicly. The team worked around this with carefully selected photography, keeping the site visually rich without compromising that preference.

The audit’s insights also travelled beyond the website. Knowing which articles AI engines already trusted helped shape the company’s LinkedIn strategy, putting proven content to work on social channels too.

The rebuilt website launched in late summer 2026. It is still early for meaningful traffic or conversion data, so this case study reports what has been delivered and how success is being measured.

• A modernised site of more than 50 core pages on a new WordPress template
• A seven-pillar Content Hub that gives the company’s educational expertise a dedicated, structured home
• AEO/GEO optimisation of the ten most-cited articles, selected from audit evidence
• New FAQ and resource pages, standardised success stories and refreshed downloadable assets

• The original four phases brought the new site live. A fifth, ongoing phase is now building on it, including:
  • dedicated solution sections linking educational content to the company’s software
  • structured data (JSON-LD schema) and redirects that preserve existing AI citation equity
  • continued expansion of the Content Hub as the company’s offering evolves

Performance is now reported weekly across direct, organic and AI-referred traffic in the company’s core North American markets. The team is also tracking which pages AI engines cite, and is finalising a defined set of AI search prompts to monitor over time.

The most meaningful measure goes beyond citation volume. The question is whether the company becomes increasingly associated with the solution to the manufacturing problems its content already explains so well.

Speaking as the site prepared to go live, Find Your Audience project manager Shelley Hüsselmann said:

AI search optimization is still a young discipline. AI engines take time to re-crawl and re-evaluate restructured content, and the tools for measuring AI visibility are evolving almost as quickly as the engines themselves. That is precisely why we built measurement into the project from the start, rather than treating it as an afterthought. We’ll share how these measures develop in a follow-up to this case study.

In AI search, authority is only half the opportunity. This company had already earned the trust of AI engines through years of genuinely useful content. The work was to reorganise that knowledge and make its connection to the company’s software explicit, for people and AI systems alike.

For established B2B brands, the most valuable AI search strategy often begins with an audit of what they have already earned.