+Field guide

September 8, 2026

What Do I Do When AI Gets My Brand Wrong?

Ask an assistant about your business and it hands back a blurry average of every name, address, and claim the web holds about you. Here is the six-step fix I ran across a whole client fleet last week, the part that was our own fault, and where Semrush fits.

01The question

What do I do when AI gets my brand wrong?

Short answer: stop being surprised. You told it four different names.

Last week I audited a real estate brokerage we work with. Their profile in our dashboard said Realty Partners. Their own title tags said Real Estate Partners. Their reviews called them Experienced Real Estate Partners. Three companies, one office, none of them famous. A kitchen remodeler in the same audit had four spellings of its own name, including one with no spaces, which is how a brand tells the internet it is a WiFi password.

AI does not misunderstand you. It averages you. Feed a model five versions of your name and it returns the blurry one, then cites some directory nobody has touched since it was built. (The directory was proud of that. It had nothing else going on.)

02The mechanics

The model is not reading your site. It is counting agreements.

An assistant answering "who is the best roofer in Savannah" does not open your homepage and take notes. It looks at everything the web says about you and scores how much of it agrees. Your site is one voice in that chorus, and the least trusted one, because it is the voice with something to sell.

So every mismatch is a vote against you. A different name on Facebook. A suite number that changed two years ago on a directory that did not. A schema block that says one thing while the footer says another. None of those are lies. They are disagreements, and disagreements get averaged into the wrong answer or pruned out of the answer entirely.

This is also why the fix is never "write a better about page." The about page was not the problem. The seventeen other places were.

03The receipts

What the audit found on seven live client sites

My agency, Local Howl, runs local SEO for service businesses, and last week I ran an entity audit across seven client sites at once: schema, title tags, footer, og:site_name, the Google listing, and the social profiles, all checked against the record we hold for each client.

The names, phone numbers, and addresses matched on all seven. Good. Then the interesting part. Four of the seven were emitting two separate organization nodes in their schema, same business name, different identifiers, because two plugins each believed they were the business. Zero of the seven had a single Person in their markup. Not one owner, not one technician, on sites that mention family ownership in the first paragraph. And two sites were introducing themselves to every social scraper as "Your SUPER-powered WP Engine Site," which is the hosting default nobody changed. (Crazy to have to tell a business what it is called, I know.)

The sites were fine. The identity was the problem. One of the two plugins fighting over the business node was ours, which is the part I would rather not mention and am mentioning anyway. We shipped the fix the same day.

04The playbook

The six-step fix, in order

One. Pick one brand string. One. The legal name can differ. The display name cannot. Write it down and treat every other spelling as a bug.

Two. Grep every surface for the others: schema name, title tags, footer, og:site_name, Google Business Profile, every social handle. A handle that reads like a license plate is not branding, it is a leak.

Three. Give the business one identity in schema. One organization node with one stable identifier that every page, service, location, and person references. Islands get pruned. Graphs get cited.

Four. Put the real humans in it. The owner and any named team member become Person markup on a page a visitor can actually read, each with a LinkedIn or profile link that proves they exist. A person with no corroborating profile is just a claim.

Five. Check what the machines say now. Semrush One has AI Search Tracking that shows how ChatGPT, Gemini, Perplexity, and AI Overviews describe the brand and which sources they leaned on. That source list is your correction list. Fix the sources, not the answer. Brand Monitoring in the same platform catches the next mention before it calcifies.

Six. Recheck quarterly. People leave. Names drift. Somebody will move the pin. The directory is still out there, waiting.

05The trap

Do not argue with the model

You cannot email ChatGPT. You cannot file a ticket with Gemini. You can only change the evidence it reads. Every hour spent prompting an assistant to say your name correctly is an hour not spent fixing the listing it learned the wrong name from.

The same goes for the shortcut of stuffing your preferred name into every page title. The model does not weight your site more because you said it louder. It weights agreement. Get the rest of the web to agree with you and the assistants follow, usually within a few weeks.

06The verdict

AI describes you either way. Manage the description.

The mechanics of why outside sources outrank your own site are in the entity corroboration field guide, and the reason an assistant shortlists some businesses and not others is in the ChatGPT shortlist piece.

Count the spellings of your company name that are live right now. If the answer is more than one, you have found the problem. Fix that first. Everything else is decoration.

You own a number that isn't moving. Let's move it.