Background
The company sells to large corporate clients, and its buyers are heads of learning and department leaders choosing a training partner. Many of them now start by asking ChatGPT, Google AI or another AI engine who can train their teams in project management or run an AI program for their managers.
In the first Reachd analysis, AI recommended a well-known training company that had led the category for years, along with international certification bodies and global consulting firms. The company had strong cases and accreditations on its own site, and AI barely mentioned it. A head of learning who gets three names from ChatGPT starts the shortlist with those three, so a firm missing from the answer can lose the deal before anyone opens its site.
Goals
- 01 Get recommended when companies ask AI for a training or consulting partner
- 02 Overtake the long-time category leader in AI answers
The company also had two narrower aims. AI had to see its real cases and results, and the company had to show up on the questions buyers ask just before they pick a partner, such as where to find a consultant with real cases, who can run a strategy session or who can teach managers to work with AI.
Results
- #1 in six weeks In the sixth week of tracking the company became the most recommended in its category, ahead of more than a hundred companies AI recommended for the same questions.
- Ahead of the market leader Its AI visibility score reached 71, almost 30% above the 55 of the company that had led the category for years.
- Ahead of the big names It also moved ahead of the international certification bodies, global consulting firms and business schools that AI used to name for these questions.
How the company got to first place in AI recommendations
The company’s own team did the work, and Reachd showed it where to aim. The daily analysis named the buyer questions AI answered, the companies it recommended on each and the pages it read, and the score showed after every batch of changes whether the answers had moved. AI was already reading the home page, the about page and the case studies, so the company started with those pages while it moved the site to a new platform a few pages at a time.
- Late March
A home page that names the offer
The new home page listed all six services and the four situations buyers usually come with, such as missed quarterly goals or competitors moving faster with AI. Client ratings went on the page, and the blog and glossary moved over with an author named on every article.
From second place to first - Early April
Case studies and a page per program
Case studies were rebuilt around the client, the industry and a measurable result. Each corporate training program got its own page with its curriculum and trainers.
Kept first place - Late April
Pages for the questions buyers ask
New pages covered AI training for project managers, AI infrastructure, project delivery and support after a rollout, and the training case studies got a section of their own.
Almost 30% ahead of the leader
When AI recommended the company, it quoted the home page line about work with IT directors, product teams, HR and top management in banks, telecom, retail and IT companies. For AI programs it pointed to the about page and the AI services page. Both pages said in plain sentences who the company works with and what it runs for them, which an answer can repeat.
AI recommends the offer it can find on a page of its own. A program that lives as one line in a long list gives it nothing to repeat.
Most of what the company added was already true about it. The clients and results existed before the rebuild, as did most of the programs, and the team, working from the Reachd dashboard, put each of them on a page where AI could read it and pass it on to a buyer. A business can check what AI says about it and see which of its offers already have such a page.