A regional professional services firm came to Emily Journey & Associates after completing a rebrand that included a new public-facing name and website domain. The company had moved on from its old identity, but the internet had not. Its old name and domain still appeared across important online sources.
Before expanding the firm’s SEO and GEO work, we needed to clarify which name and domain were current and show search engines and AI systems how the old and new identities were related.
Results at a glance
After three months, the old and new company names were better connected, redirects from the old domain had improved, regulatory information had been updated, and the website’s structured data was aligned with the information visible on the page. We had not yet measured an increase in AI citations or AI search visibility.
The problem: one company, too many versions online
The rebrand changed both the firm’s public name and its website domain, but the change had not carried through consistently everywhere the company appeared online. Team profiles, regulatory information, directories, and search results did not always agree.
The company’s own website also needed a clearer explanation of the relationship between the two names. Without that explanation, search engines and AI systems had to work out the connection from sources that sometimes contradicted one another. This was more than a basic name, address, and phone cleanup. We needed to clarify the company’s identity across the sources that mattered most.
Why entity consistency matters for generative engine optimization (GEO)
Entity consistency helps search engines and AI systems determine whether information found across different sources refers to the same business. When those sources disagree about a company’s name, domain, address, services, or history, the company becomes harder to identify accurately.
That was especially relevant here because the firm’s new name was similar to the names of other companies in the same general field. An early AI search assessment found no citations from the company’s current domain and showed AI-generated answers confusing it with similarly named businesses.
Learn how entity consistency supports AI search visibility →
How we identified the entity consistency problem
The first step was to find out how the company was being described across the internet. We used an LLM to create a working audit. The resulting spreadsheet included business listings, social profiles, reviews, publications, structured data, and results from several AI search tools.
From there, I manually checked the findings, searched individual sources, and investigated inconsistencies that needed a closer look.
The audit showed that the problem was much larger than a few outdated listings. We found differences in company names, website domains, addresses, service descriptions, employee profiles, and other information connected to the business.
This research became part of the broader work to improve the company’s AI search visibility.
We prioritized the sources that mattered most
Trying to correct every mention of a business on the internet is not realistic. It is also not a good use of time.
Instead, we identified which sources were most important for confirming the company’s identity. These included the company’s own website, regulatory records, major business profiles, professional directories, social profiles, and other sources closely connected to the organization. Lower-value lead-generation sites and data aggregators were handled selectively.
This also helped divide the work. Emily Journey & Associates could update the website and other sources we had access to. Our client handled accounts, profiles, and records that required its own access or internal approval. Some third-party sources simply needed to be monitored because neither side could edit them directly.
Establishing one clear business identity
Once we understood where the conflicts were, we needed one agreed set of facts to use going forward. We defined the firm’s current public name, legal entity, old name, current domain, primary address, and phone number. Those became the facts we used when reviewing and correcting other sources.
The website was one of the first places we made changes. Its footer still displayed the old company name, so I worked with our client to get approval to update it. I also wanted the website to explain the rebrand in plain language so the relationship between the old and new names was clear.
Connecting the rebrand story to structured data
Once the rebrand explanation was approved, we aligned the organization schema with the information on the website. The structured data identified the current public brand and legal entity while preserving the old name where it provided useful context. This gave search engines and AI systems another source for understanding the relationship between the old and new identities.
The schema supported information that was already visible on the page. We did not use structured data to introduce a relationship that the website itself did not explain.
Correcting the highest-priority sources
With the core facts settled, we started with the sources we had identified as highest priority.
One of the most important updates was a required public regulatory disclosure that still contained outdated information. Our client needed internal approval before it could be changed. Once updated, it corrected a source that other websites were using to gather information about the company.
Our client had a role in the cleanup
A lot of the work happened outside the website. Emily Journey & Associates did not have access to every account, profile, or directory that needed attention. Some belonged to the company or individual employees, and some changes required approval from legal, marketing, or company leadership.
I handled the research, organized the findings, set priorities, and made the changes I had access to make. Our client handled updates that required its own access or internal approval and created a tracking process for listings that still needed attention.
What changed in the first three months
About three months after the initial audit, I reviewed the company’s online presence again.
The old website domain showed one of the biggest improvements. Earlier in the project, pages from the old domain were still publicly discoverable and the redirect work from the rebrand had not been completed. By the follow-up review, the old homepage and contact page were redirecting to the corresponding pages on the new website.
The company’s name was also being presented more consistently. The website now explained the relationship between the old and new identities, and the structured data supported that explanation. A required regulatory disclosure had been updated, and an authoritative regulatory directory was displaying the new public-facing name.
What we could confirm after three months
The entity consistency problem was not completely resolved. Old references still existed, and some third-party sources still needed corrections or follow-up.
We had not yet measured an increase in AI citations or AI search visibility, so we did not claim either as a result. What had changed was clear: the old and new company names were better connected, the old domain was redirecting more effectively, regulatory information had been updated, and the company’s website was sending clearer entity signals.
What we learned about entity consistency
The work of a rebrand does not end when the new website launches. Old company names, domains, employee profiles, directories, and regulatory records can remain online long after the change. If no one reviews them, the internet can continue presenting more than one version of the same business.
The project also made the limits of automation very clear. An LLM helped us find places to investigate, but it could not tell us which sources deserved the most attention, whether every difference was actually a problem, or who had the authority to make a correction. That part required manual research and a person who understood the business.
We started building a repeatable process
Because this was one of our first projects focused this deeply on entity consistency, we were developing the process as we worked. We learned to start with the company’s agreed facts, separate high-priority sources from lower-value references, correct what we could access, give our client a clear list of changes that required their involvement, and return later to see what had changed.
Not every outdated reference deserves the same amount of attention. The follow-up review confirmed that authoritative records, company-controlled sources, professional profiles, and other sources closely connected to the company should come first.
Entity consistency is part of GEO
For this client, the rebrand created a GEO problem. Search engines and AI systems were finding different versions of the same company across the sources they use to understand businesses.
Before we focused on improving AI search visibility, we needed to make the company’s identity easier to understand. That meant connecting the old and new names, improving the old-domain redirects, correcting important outside sources, and making sure the website and structured data agreed.
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