For years, reviews played a fairly predictable role in growing a tax or accounting firm.

A prospect found your firm. Visited your website. Checked your reviews. And then decided whether to call.

AI is beginning to rewrite that sequence.

Today, prospects can ask ChatGPT, Gemini, Perplexity, or another AI assistant a much more valuable question:

“Which accounting firm should I hire—and why?”

That means discovery and due diligence are starting to happen inside the same conversation.

Your reviews are no longer just something prospects read after they discover your firm. They are becoming part of the digital evidence that can help search engines, AI systems, and prospective clients understand who you serve, what you are good at, how clients experience working with you, and whether your firm deserves to be recommended.

In this episode of The Growth Minded Accountant, Lee Reams II and Rebekah Barton explore the new ROI of reviews—and why reputation is becoming an increasingly important part of your search strategy.

They explain why ten detailed, authentic client stories may communicate far more about a firm than ten generic five-star reviews; why review generation should become an ongoing “reputation heartbeat” instead of an occasional campaign; and why firms may need to rethink traditional marketing measurements built around clicks, traffic, and rankings.

The bigger shift is simple:

Stop optimizing only to get the click. Start building a firm that is easy to understand, easy to trust, and easy to recommend.

Because your clients may already know how good your firm is.

The market—and increasingly AI—only knows the evidence it can see.

See How Recommendable Your Firm Is

If your ideal client asked AI today to recommend the perfect accounting firm for them, would your firm make the shortlist?

Find out.

Get your free Recommendability Report:
https://recommendability.countingworks.app

See where your firm is strong, where your digital evidence may be creating gaps, and what you can improve to become easier for humans—and AI—to understand, trust, and recommend.