@richardmackoy
Enterprise Account Executive
Experience.com
SaaS Sales
Rich Mackoy is an Account Executive at Experience.com, where he helps businesses dominate local search and build their online reputation. He's a natural builder — from running his own escape room in Frisco, Colorado to operating a custom construction business — and brings that same owner mentality to every deal he works. At the end of the day, his focus is simple: make sure the right people can find you.
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You frame corroboration architecture as multi-source triangulation across NMLS, Google, and third-party directories — but what happens when those sources disagree (e.g., a practitioner changes brokerages and NMLS lags behind their new Google profile)? Does the AI penalize the practitioner for that lag, or is there a grace period built into how retrieval models weight freshness vs. consistency?
Freshness and consistency are intertwined and in a sense equally important. If a change is made it should be consistent across all your profiles, socials, and business profiles. In terms of being penalized, yes if those inconsistent signals remain for too long it can hurt a profiles strength and visibility across the trusted source, ie the individuals performance on AI and Google visibility can be impacted.
So true. Companies are pouring resources into internal AI efficiency while the way customers actually find and choose them has already changed. The "frozen asset" analogy really resonates — great reputation data sitting in formats that AI can't surface is essentially invisible. Being discoverable in the answer-first economy is the next real competitive edge. Are you seeing more leaders starting to connect these dots?
You’ve hit on the exact friction point I’m seeing daily. Most leaders are still treating AI as a "productivity play" for their internal teams, but they’re missing the boat on how AI is fundamentally changing the consumer’s path to purchase.
Richard great article. One thing I’m curious about as this shift accelerates how do you see businesses balancing traditional SEO strategies with AI visibility optimization? Do you think there will be a point where review freshness structured data and AI citation share become more important than traditional rankings and website traffic?
Great question Chad. Simple answer yes!! SEO isn't going away, it is your foundation for visibility on AI. What companies built with SEO in the past 20 years will continue to work, moving forward there are additional steps you need to take. To answer your second part, my personal opinion based on what i've seen is review freshness and consistency is the most important thing you can be doing. I look at reviews this way, its a piece of content about you and your company that you didn't make yourself. Its the most powerful trust signal you can have. Also, customers are not going to websites as much anymore, they are trusting AI to vet that professional for them. You want to be one link removed from those search results.
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