AI Overviews Describing Your Business Wrong? Fix It

If Google’s AI Overview or ChatGPT states something wrong about your business, there is no correction form that works reliably — you fix it by changing the sources those systems read. That means your own pages, your business listings, and the third-party places the engines treat as consensus, in roughly that order of speed.

This stopped being hypothetical. Business Insider reported in August 2026 on small business owners whose AI-generated summaries confused them with other companies or drew on outdated reviews and stale blog posts, with feedback mechanisms producing slow and inconsistent corrections. And SparkToro’s 2026 analysis found fewer than one in three Google searches now sends a click, so the wrong summary is often the only thing a buyer ever sees.

How do you find out what AI says about your business?

Run your own name and your category’s buyer questions through ChatGPT, Google’s AI Overviews, Perplexity, and Claude, and write down the answer verbatim along with every source the engine cites. Do it from a logged-out session, and repeat it weekly — one check is not a measurement.

The verbatim part matters more than it sounds. What you are looking for is not a verdict but a list of specific claims: the city you are said to serve, the services attributed to you, the price range quoted, the competitors named alongside you, and whether any of it is actually true. In our experience the errors cluster in three places — a service you dropped years ago, a location from an old listing, and a founder or ownership detail lifted from a stale directory.

Then log the sources, because the sources tell you where the error entered. We run this on ourselves every week and the source mix has swung wildly: in one recent sample ChatGPT built an entire local shortlist out of two directory listings, and four weeks later it used nothing but agencies’ own websites plus a Reddit thread. If the engine is quoting a directory that has your old address, no amount of website editing will fix the summary.

Why is the AI wrong when your website is right?

Because these systems assemble an answer from many sources at once and weight consensus and recency over any single authoritative page — including yours. A correct website that three stale directories contradict will often lose to the three.

The mechanics reward specific, verifiable, quotable material. Princeton’s Generative Engine Optimization study (Aggarwal et al., 2023) found that statistics, citations, and direct quotations raised a page’s visibility in generative answers by up to roughly 40%, largely independent of its Google ranking. The practical reading is that vague marketing prose is easy to skip and hard to quote, so an engine reaching for a concrete claim about your business will go find one somewhere else — often somewhere older and worse.

Reviews are the other heavy weight, and they are the one most small businesses ignore. Research from Trustpilot, reported by TechRadar Pro (2026), found businesses with 80 or more reviews appeared in over 75% of AI answers, against roughly 1% for those with none. We are living proof of the downside: our own Google Business Profile carries zero reviews, and we are named in ChatGPT’s local shortlist in only about a third of our weekly samples. We are not going to pretend that is unrelated.

What actually changes the answer?

Three things, in order of how fast they pay: correcting and enriching your own pages, fixing every business listing and directory record that carries stale facts, then building genuine third-party consensus through reviews and mentions. Nothing here is a trick, and nothing works overnight.

Start on-page because it is the only input you fully control. State the facts an engine would want to quote — where you are, what you do, what you do not do, who runs the business, what a client actually gets — in plain, specific prose near the top of the page. Vague superlatives are unquotable. We rewrote one of our own city pages this month to lead with the exact phrase buyers search rather than a marketing headline, and Search Console shows that page moved from average position 78.2 to 40.3 in four weeks with no new links. The same specificity that helps Google helps the engines quote you correctly.

Listings are next, and they are tedious rather than difficult. Google Business Profile, Apple Business Connect, Bing Places, the major industry directories, and any aggregator that fed them: every stale address, phone number, hour, and service line is a source an engine may prefer over your website. Fix them at the source, not just on the surface, or the aggregators will repopulate the error.

Reviews are last to start and slowest to pay, which is exactly why they should start now. Volume and recency both matter, and there is no shortcut that survives contact with the platforms’ fraud detection. Ask every satisfied client, make it one click, and accept that this is a six-month program rather than a campaign.

What can’t be fixed?

You cannot force a correction, guarantee a mention, or get a commitment from any engine that the fixed answer will stay fixed. Anyone selling those three things is selling something they do not control.

It is worth being blunt about this because the industry is not. Answers vary by prompt phrasing, model version, location, and week — we have watched our own presence in a single recurring prompt flip between named and absent five times in eight weeks without touching the relevant pages. Google’s own feedback mechanism exists but, per the Business Insider reporting above, business owners describe corrections as slow and inconsistent. ChatGPT now volunteers to buyers that no legitimate agency can simply place them in its answers, and it is right.

What you can control is the input quality and the measurement. If the underlying sources say the correct thing consistently, the summaries converge on the correct thing over weeks. If they do not, no reporting dashboard will save you.

What we’d actually do

If a client came to us with a wrong AI summary, the first week would be measurement only: ten to twenty prompts across four engines, every claim and every cited source written down, repeated at the end of the week to separate a real error from a one-off hallucination. That log usually names the culprit — a specific stale listing, a competitor’s page that mentions you, or an old article you forgot existed.

Week two through four is unglamorous correction work: rewrite the relevant pages to state the facts plainly and specifically, clean every listing at source, and start a review program. Then keep sampling, because the only honest proof this worked is the same prompt returning a different answer a month later. If you want to see your own baseline, we run the prompts live on a free 30-minute call and you keep the findings either way. If you would rather understand the measurement side first, AI citation monitoring vs. optimization explains what each half actually buys you, and why your business isn’t showing up in ChatGPT covers the absence case specifically.