Start with the symptom you can see
Your business may be missing from an AI answer, described with an old service, confused with another company or shown with the wrong location. Google may display an unexpected site name. A Knowledge Panel may repeat a stale fact. Each symptom points to a representation problem, but they don't all have the same cause or repair. When two genuine organisations are being merged, use the focused guide to stop AI search confusing your business with another company. When the organisations are legitimately related, use the parent company, subsidiary and brand architecture guide to preserve their boundaries and state the relationship.
First separate two questions. Branded representation asks whether a system can identify and describe your named business accurately. Unbranded recommendation visibility asks whether it chooses your business when someone asks for a provider without naming you. A clear business record supports both, but it doesn't guarantee rankings, citations or recommendations.
This distinction protects the commercial decision. If a buyer already knows your name and finds conflicting facts, identity and accuracy come first. If the facts are correct but the business rarely appears in broader research, the next investigation is authority, relevance and proof.
Define the business record systems need to resolve
Before using terms such as entity SEO, write down the facts that should identify the business. Include its current name, primary website, services, audiences, locations, people, official profiles and evidence for important claims.
Google's guide to establishing official business details connects several sources, including the official website, structured data and Business Profile. That is a useful audit model. It doesn't mean every source has equal weight, or that matching fields force a particular result.
The owned website should state the business record in language a buyer understands. External profiles and references should corroborate it without copying every sentence. Structured data should describe what the visible site already says. When those layers conflict, a person may infer the intended meaning while a search or retrieval system has to resolve competing evidence.
Understand what the platforms actually support
Google's current guidance for AI features and websites says ordinary Search foundations apply to AI Overviews and AI Mode. A page must be indexed and eligible to appear with a snippet, and no special AI-specific schema is required. Meeting those conditions still doesn't guarantee that Google will crawl, index or show the page.
Organization structured data can help Google disambiguate an organisation and express governed facts such as its name, URL, logo, contact details and sameAs references. Schema is therefore a representation layer, not a repair for vague pages or an assurance of inclusion. Once the visible record is settled, use the Organization schema implementation guide for the technical work.
Crawler access is another separate branch. OpenAI documents different controls for search, training and user-initiated retrieval in its bots overview. Perplexity documents the crawler it uses to surface and link websites in Perplexity search results. Allowing access makes retrieval possible. It doesn't establish trust, authority or a right to be cited.
Audit the owned source of truth
Start with the pages where a buyer would verify the business. Read the homepage, about page, main service pages, location information, proof, author profiles and contact details as one record.
If the About page is vague, thin or outdated while the wider business record is agreed, use the focused guide to build an About page people and search systems understand. It covers visible page structure, evidence paths and maintenance without repeating this wider diagnosis.
Look for disagreements that change a buying decision. The homepage may use a broad category while the service pages describe a specialist offer. An about page may name people whose expertise isn't connected to the articles they write. A location page may imply a physical office where the business only has a service area. Proof may support an old positioning rather than the current one.
Fix visible facts before encoding them. If the unclear entity is a founder, author or expert, the expert profile and Person schema guide covers the maintained profile, authorship links and structured data. If templates, navigation or content hierarchy obscure the offer across many pages, the repair is likely website architecture and design work, not another isolated schema field.
Check whether outside sources corroborate it
Review the public sources a buyer or platform could reasonably encounter. Prioritise verified profiles, major directories, review platforms, partner pages and credible editorial references. Check names, URLs, services, locations and contact details, then note which source owns each correction.
Google says local results are mainly shaped by relevance, distance and prominence. That keeps the local branch in proportion. Accurate categories, details and reviews matter, but profile consistency shouldn't be presented as a universal ranking switch.
When external facts conflict, use the third-party business signals audit to prioritise sources and keep an evidence trail. When the facts are aligned but independent evidence is thin, compare brand mentions and backlinks before deciding where to invest. A mention can corroborate the business in context, while a link can also provide a navigable relationship and established search value. Neither guarantees an AI recommendation.
Match the symptom to the repair
Google displays the wrong site name
Google generates site names automatically from several homepage signals, including WebSite structured data, according to its site name documentation. Check the homepage title, headings, naming consistency and WebSite markup. Then follow the focused guide to fix a wrong site name rather than changing unrelated organisation fields.
A Knowledge Panel contains an incorrect fact
A Knowledge Panel isn't the same as a Business Profile. Google's explanation of how Knowledge Panels are generated says they draw on public web information and may also use verified feedback. Treat correction as evidence-led influence, not direct control. The Knowledge Panel correction guide covers claiming, evidence gathering and feedback.
A rebrand left two versions of the business online
Map the affected sources before updating individual profiles. A name, domain or positioning change affects redirects, site copy, schema, profiles and external references. Use the entity migration guide for a business rebrand to preserve continuity and retire stale facts in a controlled sequence.
An expert is difficult to identify
Connect the person's profile, role, authored work, credentials and relevant external profiles. Keep claims proportionate to the evidence. Person schema can express that maintained record, but it can't create expertise the page doesn't demonstrate.
Retrieval barriers block accurate pages
Check indexability, canonical tags, internal links, robots rules, CDN or firewall controls and server logs. Diagnose access separately for each platform because their crawlers serve different purposes. A crawl fix removes a barrier. It doesn't promise selection in an answer.
Prioritise by commercial consequence
Fix mistaken identity and high-impact factual errors first. A wrong phone number, location, service or business name can lose an enquiry even when visibility is strong.
Next repair the pages buyers use as evidence. Clarify the main offer, audience and proof on the homepage and priority service pages. Align author and company information where expertise affects trust. Then correct the external sources most likely to be consulted.
Add or update structured data after the visible facts are dependable. Resolve retrieval barriers when logs or tests show they affect important pages. This order is a practical default, not a platform formula. The observed failure should set the sequence.
Measure whether representation gets clearer
Create a small, stable set of branded checks such as “What does [business] do?”, “[business] locations” and “[business] reviews”. Record the answer, cited sources and material errors at a consistent interval. Use the same location and account conditions where possible, because generated answers can vary.
Pair those observations with the data you actually have. Google's current AI-feature guidance says traffic from AI Overviews and AI Mode is included in Search Console's Web performance reporting. It doesn't provide a separate diagnosis of whether a business entity is understood. Search Console, analytics, crawler logs, branded demand and lead quality each answer different questions.
Once the baseline is clear, maintain an entity-trust monitoring register with dated observations, owners, review triggers and separate commercial measures. That turns occasional checks into a repeatable governance practice without inventing a platform score.
Measure corrections against the original symptom. If the problem was a stale service, check whether the cited and visible sources now state the current one. If it was mistaken identity, check the name, URL and profiles. If it was unbranded discovery, track that as a separate visibility programme rather than declaring the business record fixed or broken from one prompt.
Choose the repair the evidence supports
A useful audit ends with one diagnosed layer and evidence for the diagnosis. The owned record may need clearer pages. External profiles may need correction. A specific Google surface may need a focused request. Schema may need to reflect settled facts. Retrieval controls may need technical work.
Keep the repair as narrow as the evidence allows. Use the linked implementation guide when one branch is responsible. When the problem spans content, external evidence, technical search and measurement, an SEO and AI visibility review can turn the diagnosis into sequenced work. When the site structure itself hides the business record, scope the change as website design and architecture.