Case 289 · Garden & irrigation technology
Why do enquiries dry up even though the work is good — and what helps?
Starting point: A firm for garden and irrigation technology, craftsmanship beyond any doubt. Full order books for years — word of mouth was enough. Today the phone stays quiet. Anyone searching online for exactly this work does not find them: not on Google, and certainly not in AI answers. The best firm in the region simply does not exist online.
AuthorMatthias EgerCertified Manager for Applied AI Transformation (IHK)The solution: 80 measures, prioritised by impact.
No advertising budget, no campaign — first an honest inventory: what does Google find about the firm, what does an AI find, what does the customer find? Out of that comes a work plan with 80 prioritised measures for content and structure. Content that answers the real questions customers ask — wells, sprinkler systems, servicing, winterising. Structure that machines can read. And evidence instead of claims: real projects, real reviews, a named person behind it all.
The decisive point: the plan is not built for Google alone. AI answers do not rank pages — they cite sources. Ask an AI who builds irrigation systems in your region and you do not get a list of hits, but an answer with sources. Only those the machine believes make it into that answer. And it measures credibility with E-E-A-T: Experience, Expertise, Authoritativeness, Trust — I wrote the whitepaper on it. Every one of the 80 measures is built to exactly that yardstick.
80 measures, prioritised by impact — not a ten-point blog post, but a work plan: whatever works first comes first. The firm starts at the top instead of everywhere at once.
Why this works — and where the limit is.
It works because it needs no tricks: the firm has the experience that machines reward — it was just never documented anywhere. The limit is just as clear: visibility cannot be bought and cannot be faked. Bought reviews and mass-generated text get found out — by Google as much as by AI systems. And which projects the firm shows, what it promises and what it stands behind is decided by no plan and no machine. That stays with the boss: the measures supply the order of play, the judgement stays with the human.
“Only those the machine believes make it into an AI answer. And belief cannot be bought — only earned with evidence.”
Does this transfer to your business?
This case transfers to any business that simply does not exist online, even though it is the best one around. Whether roofing, metalwork or mechanical engineering: if the work is good but the referrals are thinning out and nothing online picks up the slack, there is no shortage of talent — what is missing is content, structure and evidence. Both can be built: with your real projects, in your language, following a plan with a clear order.
Does your case sound similar?
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