B2B GEO and AEO Case Study | Happy Growth Marketing

GEO and AEO Visibility Program for B2B Manufacturing Clients

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.

What changed from the first constraint to the measured outcome.

Measured impact
12Buyer questions now cited in AI answers
100%Crawler access verified across AI bots

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.

Client type
B2B Manufacturing
Channel
AI Search Optimization
Before

Challenge

Established B2B manufacturers with strong technical SEO were still invisible when buyers asked ChatGPT, Perplexity, and Gemini for vendor recommendations.

Intervention

Strategy

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.

After

Impact

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.

What HGM actually did to create movement.

A practical view of the workstreams behind the result, before the long-form story expands on the details.

01

Find the real constraint

We reviewed where b2b manufacturing growth was stalling across visibility, content depth, technical health, conversion paths, and measurement.

02

Rank the work by impact

The AI Search Optimization work was ordered around the changes most likely to influence qualified demand, not around a generic checklist.

03

Execute the growth work

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.

04

Track the movement

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.

The decisions, fixes, and execution behind the result.

Who Was the Client?

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.

What Was the Challenge?

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.

What Was the Strategy?

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:

  • Rebuilt priority service pages with answer-first sections and question-shaped headings
  • Strengthened entity clarity around the company, its services, locations, and expertise
  • Added FAQ, comparison, and use-case content addressing real buyer research questions
  • Implemented structured data and JSON-LD to make entities and claims machine-readable
  • Improved internal linking and topical authority around core service clusters
  • Verified crawler access for GPTBot, OAI-SearchBot, PerplexityBot, ClaudeBot, and Google-Extended

What Were the Results?

  • AI visibility baseline documented before any changes were made
  • Answer-ready content shipped across priority service and comparison pages
  • Structured data and entity signals strengthened company-wide
  • A recurring monthly prompt panel put in place to track mentions and citations going forward

Impact Metrics

  • 12 buyer questions now surface a client mention or citation in ChatGPT or Perplexity, up from zero
  • 0 → measurable AI Overview appearances for core service queries
  • 100% crawler access verified for GPTBot, PerplexityBot, ClaudeBot, and Google-Extended
  • Monthly prompt panel established to track AI mentions, citations, and competitor displacement on an ongoing basis

Why Did This Work?

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.

HGM did not just send us another SEO checklist. They found the weak points in our site, explained them in plain English, and helped us prioritise the fixes that actually affected enquiries. The work felt calm, organised, and commercially sensible.

Haris Whitcombe · Leading B2B Business Owner - UK

Questions this case study can help answer.

What was the main constraint in this AI Search Optimization case study?

Established B2B manufacturers with strong technical SEO were still invisible when buyers asked ChatGPT, Perplexity, and Gemini for vendor recommendations.

What work did HGM focus on first?

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.

Can this result be guaranteed for another business?

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.

Is this case relevant for other b2b businesses?

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.

What clients say after working with us.

We came in needing better visibility, but HGM also fixed the way we explained our offer. The reports were easy to read, the priorities were clear, and the work felt like it was connected to sales, not just traffic.
Elena RoystonE-commerce Brand Lead
HGM did not just send us another SEO checklist. They found the weak points in our site, explained them in plain English, and helped us prioritise the fixes that actually affected enquiries. The work felt calm, organised, and commercially sensible.
Haris WhitcombeLeading B2B Business Owner - UK
HGM helped us turn a messy service offering into pages that customers could actually understand. The copy became sharper, the structure made more sense, and our team finally had a roadmap we could follow.
Ines VarmaManaging Partner, Growth Consultancy
What stood out was the attention to how real buyers move through the site. They challenged vague sections, tightened the calls to action, and made the whole experience feel more credible without making it sound forced.
Marwan EllisDirector, Dubai Services Company
We had worked with agencies before, but this was the first time the website, content, and tracking were treated as one system. HGM made the next steps obvious, and the quality of conversations from the site improved quickly.
Nadia KesslerNew York Based Legal Firm
The most useful part was how direct the recommendations were. No bloated presentation, no vanity reporting, just a clear view of what was holding back our pages and what needed to change first.
Omar LindholmFounder, Specialist SaaS Platform

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