Your website explains your business in your own words. A map listing, a customer review or a relevant directory gives the buyer another place to check the details. In our audits, those sources sometimes tell different stories.
That is a practical problem worth fixing. It does not prove that every AI assistant follows the same process or gives each source the same weight.
Start with what a customer can check
Choose one current reference for your business name, address, phone number, hours and services. Compare it with the profiles and directories that matter to your customers.
Check the call button, the website link and the opening hours. A buyer may contact you straight from a profile without visiting the website. Website analytics will miss that part of the journey unless call or click tracking is in place.
What we found in three projects
A roofing contractor had a working website but a thin Google Maps presence and reviews scattered across platforms. A med spa had clear copy and functioning buttons, yet its Google Business Profile was incomplete and there was little information about it elsewhere.
An accounting firm had invested in its website while its profiles, reviews and business details needed attention. For this client we also set up a process for requesting and responding to genuine reviews.
We kept the websites largely as they were and worked on listings, relevant directories, consistent business details and clearer service descriptions. By month three, all three projects had more inbound leads than at the start, and some of those leads came through channels other than the website. These are observations from those projects, not a guaranteed result of updating a profile.
Make the audit a short working list
Record each mismatch, where it appears and who can correct it. Fix first the details that prevent contact or misdescribe a service. Then check the corrected information on the live profile.
For reviews, use a repeatable request process with real clients and follow the rules of each platform. Read the feedback and respond to it. Do not buy fake reviews or invent client experiences.
For directories, choose relevant listings rather than adding the business everywhere. After publication, check the information and the contact path.
Check what AI assistants say without guessing why
Ask an assistant what it knows about your business and save the query, the date and the answer. Compare the stated facts with your current records and look at any sources it cites.
Different services and queries can produce different answers. A missing directory entry does not prove why an assistant left you out, and a cleaner profile does not guarantee a recommendation.
Measure the customer’s path
Ask new clients where they first heard about you and where they checked your business before getting in touch. Combine that feedback with trackable calls, messages, website referrals and qualified inquiries.
The goal is to see which paths customers actually use and which details get in their way. It is not to treat every external mention as proof that AI has endorsed the company.
An IGM audit gives you a list of conflicting details, missing profiles and contact problems to fix. Request one at pro-igm.com.
Frequently asked questions
Does flat growth mean we need a redesign? Not necessarily. Check the actual website problems and the surrounding profiles before deciding.
Will consistent profiles guarantee an AI recommendation? No. Consistency helps customers verify the business, while assistant behavior still depends on the system and the query.
Where should we start? Correct contact details and access problems first, then review the sources your customers actually use.