Start with the claim that could cost trust
A prospective client searches for your business and Google says you don't serve their location. Another Overview attributes a service you don't offer or repeats an expired accreditation. The error sits above the ordinary results, where it can shape the buyer's view before they reach your website.
This guide treats the wrong claim as an accuracy incident. Citation absence, traffic loss and content-use policy each require different evidence and remedies.
Google says AI Overviews can make mistakes and advises users to check important information against more than one source. Its AI Overview help page also provides a feedback route for inaccurate results. Feedback gives Google a report. It doesn't give a business owner direct control over the generated wording or guarantee a correction.
If you need the wider product context first, read what AI Overviews and AI Mode mean for SEO. If the Overview is accurate but your site isn't linked, use the AI Overview citation diagnostic instead.
Capture the answer before it changes
Preserve the result before editing a page or profile. Generated answers and supporting links can vary between searches, so a screenshot without its conditions is weak evidence.
Run the original query again on the same device if possible. Record the wording exactly. Expand the Overview and save every visible supporting link. Note whether you're signed in, because account context can affect the experience. Then repeat the query once on another device or in a signed-out session to learn whether the error is stable.
This record matters because it separates the claim you saw from the source you suspect. It also gives a third-party publisher, adviser or Google feedback reviewer enough detail to understand the incident.
Our Australian check on 22 October 2026 found a mixed correction landscape across desktop and mobile search results. Google help explained the feedback control. Specialist articles recommended tracing and correcting source material. Community discussions described stale records and merged businesses. Whether an AI Overview appeared depended on the query, and the visible controls weren't identical in every result. That variability is why your own dated incident record matters more than a generic screenshot of Google's interface.
Break the Overview into claims and sources
Audit the paragraph as separate factual claims that can be checked independently.
“Company A is a Perth accounting firm specialising in hospitality and operating from Suburb B” contains at least four claims. Check the business identity, category, specialisation and location separately. For each claim, open the nearby cited pages and find the passage that supports it.
A credible website and a supporting passage are different tests. A government page may be authoritative yet say nothing about the generated claim. A correct passage may also be attached to a sentence that stretches beyond what the source establishes.
The 2026 preprint Measuring Google AI Overviews used 55,393 trending queries across 19 categories collected from 13 March to 21 April 2026. Its researchers decomposed captured Overviews into atomic claims and tested those claims against cited pages. They found that source quality and claim fidelity were separate dimensions. The study remains a preprint, used trending rather than local commercial queries and excluded some social and video source content from verification. Its figures shouldn't be treated as an accuracy rate for your market. Its useful contribution here is the claim-by-claim audit method.
The peer-reviewed conference paper Auditing Citation Behavior in AI-Generated Search Summaries offers a system-independent observational framework for query and document pairs, citation rank and source provenance. Its scope is citation behaviour rather than business correction. Together, the papers support a disciplined audit without proving why Google generated a particular sentence.
Mark each claim as directly supported, partly supported, contradicted or absent from the cited material. Keep “absent” distinct from “false”. An absent claim lacks support in the visible citations, which reveal only part of Google's retrieval process.
Classify where the wrong information entered
The correction route depends on where the evidence breaks.
An owned-page error is the most controllable case. Your site may still state an old address, retired service or former team member. A stale indexed copy is different. The live page is correct, but Google's indexed version hasn't caught up.
Third-party conflict appears when a directory, association page, news story or partner profile carries the old fact. Correcting your site alone may leave that conflicting source intact. Ask the publisher for a factual update and give them the current source of truth.
A Business Profile or Knowledge Panel issue belongs to that record. Correct the profile through its management tools or use the relevant feedback process. Our guides cover incorrect Google Knowledge Panel business facts and a wrong site name in Google Search when the symptom sits outside an AI Overview.
An entity collision occurs when details from two organisations are merged. Route that case to the business-name confusion diagnostic. If the same wrong fact appears across several AI and search products, use the broader guide to how AI search understands your business.
The remaining class is unsupported synthesis. The visible sources don't state the claim, or Google combines accurate fragments into a conclusion the evidence doesn't support. You can clarify the record and report the result, but you can't edit Google's synthesis directly.
Correct the record you can control
Start with the canonical page a customer should trust. Replace the wrong fact and make the correct one explicit in the visible copy. Add a date where recency affects meaning. Link to primary evidence for credentials, licences or other claims that require proof.
Check every owned location where the same fact appears. That can include service pages, staff profiles, contact details, downloadable documents, structured data and business profiles. Consistency doesn't mean repeating identical marketing copy. It means important factual statements don't contradict each other.
Google's technical requirements for AI feature links rely on ordinary Search indexing and snippet eligibility. Google says there is no additional AI-specific technical requirement. Its generative AI optimisation guidance continues to emphasise useful content, crawlability, page experience and accurate business information. It also says an llms.txt file isn't required for Google Search.
Structured data can clarify the entity described by a page when it agrees with visible content. Prominent wording can make the correct fact easier for a reader to find. Neither forces Google to select that evidence or rewrite an Overview.
For an inaccurate third-party page, send a narrow correction request. Quote the exact statement, provide the verified replacement and link to primary evidence. Keep a record of the request. If the publisher won't update the page, strengthen the owned source of truth and document the unresolved conflict rather than creating several thin pages that repeat the correction.
Use feedback and recrawl requests for their real jobs
Google's current help documentation says the Overview feedback controls include Good overview and Bad overview. For an inaccurate result, it directs users from Bad overview to Report a problem, where they can select a category and add detail. On 22 October 2026, those labels were documented for desktop use, but availability and presentation can vary in Australian results.
Report the exact claim, explain why it is wrong and point to the strongest evidence. Include the query and conditions already captured. Don't describe feedback as an expedited correction channel. Google says it helps improve AI Overviews, not that every report receives a response or changes a particular result.
Request recrawling through URL Inspection only after you have materially corrected an owned page and confirmed that Google can access it. A recrawl request asks Google to revisit the URL. It doesn't require indexing, replace a third-party record or compel an AI Overview update.
Google's generative Search control has a separate job. It governs whether a property is eligible for covered generative Search features. Exclusion can reduce exposure as well as use. Treat it as a governance decision and read the AI Overview opt-out decision guide before changing it.
Retest the claim and watch the wider pattern
Use the original query as the fixed reference, then test a small set of close variants. Record the date, wording and cited sources on every check. Avoid checking so often that ordinary result variation looks like progress.
There is no reliable public timetable for a generated claim to change. Set review dates that match the risk and the pace of the underlying correction. A wrong phone number affecting active leads deserves closer observation than a harmless wording difference.
If the wrong claim disappears once and returns later, keep monitoring. If it repeats across several queries or products, the incident may be part of a broader entity or source-consistency problem. The framework for measuring AI search visibility can extend the record without turning one correction into a general visibility campaign.
Escalate when the error carries material risk
SEO is only one part of the response when an Overview makes a defamatory claim, presents unsafe health or financial information, misstates a regulated credential or creates an immediate legal risk. Preserve the evidence and seek appropriately qualified legal, regulatory, clinical or reputation advice. Don't wait for an indexing cycle when the harm needs urgent action.
For a normal business accuracy issue, assign ownership to the source you can change. Give the publisher or platform a precise correction where you can't. Then retest without assuming an outcome.
The job becomes more complex when no source explains the claim or when the error spans several uncontrolled pages, profiles, entity signals and technical indexing problems. That is the point for joined-up SEO diagnosis, because the work now crosses more than one record owner.
Keep the incident record current. It should show what Google said, which evidence supported it, where support was absent, who owns each correction and when you'll review the result again.