AI for Engineering
How AI Gets Reviews for Engineering Firms
Engineering firms get reviews by asking at project completion, when the working relationship is fresh. AI sends the review request automatically after the project closes — to Google for general visibility and to LinkedIn for professional credibility. Both platforms matter for the audiences engineering firms target.
Engineering firm reviews are rare, which makes each one highly influential. A structural engineering firm with 12 Google reviews and 4 LinkedIn recommendations is far more credible to a prospective client doing due diligence than one with no reviews at all — regardless of portfolio quality or years in business.
The review request for engineering projects: 'Hi [Name], it was a pleasure working on [project] — we appreciate the trust you placed in our team. If you have a moment, a Google review or LinkedIn recommendation would be a real asset to us and to prospective clients considering our services: [link].' Professional, brief, and easy to act on.
The timing distinction for engineering: asking immediately at project completion (when the final deliverable is issued) works for projects with a clear end. For projects with extended construction administration where the relationship continues, the review request should wait until substantial completion or construction close-out, when the full project value is deliverable.
Common questions
For engineering firms targeting B2B clients (developers, GCs, architects, institutional owners), LinkedIn recommendations from named professionals carry similar weight to Google reviews. They come from peers and clients in the same professional network, which is where engineering selection decisions are often made. Collect both.
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