A potential customer asks an AI assistant which business can help with a project. Your name appears, followed by a neat description of your services. Before that person reaches your website, an answer written elsewhere may already have shaped what they expect.
It is an uncomfortable place to discover that an old service, an outdated address or an unsupported promise has become part of your introduction. The sensible response is to check what people can find and strengthen the information you actually control.
Brand accuracy is becoming a marketing responsibility
In a survey announcement published on 9 November 2026, Gartner reported that 42% of chief marketing officers had taken steps to monitor and correct misinformation about their brands in AI-generated output. The research surveyed 408 senior marketing leaders between July and August.
That figure measures reported activity. It does not mean AI gets 42% of business descriptions wrong, and it does not prove that monitoring successfully corrected an answer. The distinction matters: a survey about what marketers are doing is a signal of concern, rather than an audit of what customers are seeing.
Start with questions a customer would ask
Our suggestion is a small, repeatable check. Try questions about your actual services, where you operate, how someone can contact you and what a prospective customer should know before enquiring. Use public information only.
Record the question, the tool, the date, the answer and any sources it supplies. Treat the result as one observation. Different questions, products and occasions can produce different answers; one favourable response is not a reliable measure of your overall visibility.
Then compare the factual claims with an agreed source of truth. Separate an incorrect address from a vague description, an absent citation from an invented service, and a subjective recommendation from a verifiable fact. Each calls for a different response.
A hypothetical example: an agency once offered printing but now focuses on websites and automation. If an answer still leads with printing, the first job is to check whether old pages, directories or profiles still describe that offer. There may be several public versions of the business competing for attention.
Give the business a clear public source
This is where website development and content work meet. Important service information should be easy to find, written plainly and maintained by someone who knows when the business changes.
A useful service page explains what is offered, who it is for, relevant limits and the next step. Contact details should agree across the website and profiles the business manages. Remove ambiguity rather than repeating broad claims about being innovative or delivering solutions.
For Google specifically, Search Central’s current guidance says established SEO practices remain relevant to AI Overviews and AI Mode, with no special optimisation required. Important information should be available as text, pages should be discoverable through internal links, and structured data should match visible content. Eligibility does not guarantee indexing or appearance.
Those requirements concern Google’s search features. They are not a promise about every AI assistant, and updating a webpage should not be sold as an instant correction to every model’s answer.
Respond to errors with evidence
When you find a material error, preserve the example and inspect the sources it cites. Correct your own inaccurate pages first. Where another organisation controls the source, use its normal correction process. Where the AI product provides a reporting option, submit a concise description supported by an authoritative public page.
Keep a dated record and check again later. Prioritise errors that could misdirect a customer or create a false expectation. A monitoring exercise becomes more useful when it has an owner and a clear action, rather than another dashboard nobody reviews.
Make the next conversation easy
An accurate description still leaves customers with questions. Can you handle their particular project? What information do you need? Who will reply?
At Pixelskit, we see the practical opportunity as a combination of a well-built website, precise content and a straightforward path to a conversation. These are our recommendations from the story, not outcomes demonstrated by Gartner’s survey.
You cannot control every description of your business. You can make the facts easier to verify and make it easier for a person to reach you when an answer needs checking.
