A B2B GEO and AEO case study focused on making established manufacturing and industrial clients discoverable, citable, and quotable inside ChatGPT, Perplexity, Gemini, and Google AI Overviews.
Clients moved from zero AI mentions to being cited or named in 12 commercially relevant buyer questions across ChatGPT and Perplexity, with a documented monthly prompt panel tracking every change.
Established B2B manufacturers with strong technical SEO were still invisible when buyers asked ChatGPT, Perplexity, and Gemini for vendor recommendations.
We ran an AI visibility baseline audit, then rebuilt service pages around answer-first sections, entity clarity, and structured data before layering FAQ, comparison, and use-case content.
Clients moved from zero AI mentions to being cited or named in 12 commercially relevant buyer questions across ChatGPT and Perplexity, with a documented monthly prompt panel tracking every change.
A practical view of the workstreams behind the result, before the long-form story expands on the details.
We reviewed where b2b manufacturing growth was stalling across visibility, content depth, technical health, conversion paths, and measurement.
The AI Search Optimization work was ordered around the changes most likely to influence qualified demand, not around a generic checklist.
We ran an AI visibility baseline audit, then rebuilt service pages around answer-first sections, entity clarity, and structured data before layering FAQ, comparison, and use-case content.
Clients moved from zero AI mentions to being cited or named in 12 commercially relevant buyer questions across ChatGPT and Perplexity, with a documented monthly prompt panel tracking every change.
A set of established B2B industrial and manufacturing companies with solid technical SEO foundations, sold through long consideration cycles where buyers research vendors extensively before ever filling out a contact form.
Traditional rankings were healthy, but none of the clients showed up when their own prospects typed commercially relevant questions into ChatGPT, Perplexity, Gemini, or asked Google AI Overviews to compare vendors. Technical SEO, content quality, and site authority were solid foundations — the gap was that none of it was structured in a way AI systems could confidently extract, attribute, and cite.
We started with an AI visibility baseline: running each client's real buyer questions through ChatGPT, Perplexity, Gemini, and Google AI Overviews, and documenting who currently got mentioned and why. From there we:
AI answer engines reward the same clarity that helps a technical buyer evaluate a vendor: unambiguous entity signals, direct answers to real questions, and content structured so it can be quoted without misinterpretation. Technical SEO got the pages crawlable — GEO made them quotable.
For related B2B pages, see AI Search Optimization for B2B and Growth Marketing for B2B.
We had a long list of SEO tasks and no idea what mattered first. HGM helped us sort the technical issues from the things that were actually stopping people from contacting us. It felt much more useful than another generic audit.
B2B business owner · UK professional services company
Established B2B manufacturers with strong technical SEO were still invisible when buyers asked ChatGPT, Perplexity, and Gemini for vendor recommendations.
We ran an AI visibility baseline audit, then rebuilt service pages around answer-first sections, entity clarity, and structured data before layering FAQ, comparison, and use-case content.
No. This case study shows what changed in one context. Results depend on the starting website, market, competition, tracking, offer quality, implementation speed, and the buyer journey.
It can be useful as a pattern, but the right plan still depends on the specific market, service mix, proof assets, conversion path, and growth constraint for each business.
Anonymised client feedback from businesses that needed clearer priorities, sharper pages, and work tied to actual enquiries.
We thought the issue was just traffic. HGM showed us that our product pages were not explaining the offer clearly enough. The changes were practical, the reporting was easy to follow, and the enquiries we got afterwards were a better fit.
We had a long list of SEO tasks and no idea what mattered first. HGM helped us sort the technical issues from the things that were actually stopping people from contacting us. It felt much more useful than another generic audit.
Our services made sense to us internally, but they were confusing on the website. HGM helped us split the pages properly, rewrite the vague sections, and make the next step clearer for visitors. The site finally felt easier to explain.
They did not try to rewrite everything for the sake of it. They pointed out where buyers were likely getting stuck, tightened the calls to action, and made the page feel more trustworthy without making it sound like a sales script.
We had separate people looking at content, tracking, and the website, but no one was joining it up. HGM looked at the whole path and gave us a clear order of fixes. The conversations from the site became easier to qualify.
The most useful part was the directness. We did not need a long presentation full of charts; we needed to know why the pages were not converting and what to fix first. That is what we got.
Book a free consultation and we'll map the constraints, channels, and fixes most likely to create measurable progress.
