Know How Your Business Is Represented
See what search and AI systems can currently discover about your business, services, locations, positioning, and important public information.
Loading...
Please wait while we prepare your experience.
Please wait while we prepare your experience.
We investigate how your business is represented across search, local information sources, and AI answer systems. We identify missing, inconsistent, outdated, weak, or misleading information and turn the findings into a practical improvement plan.
A business may have a good website and still have incomplete, inconsistent, or weakly connected information across the public web. Our work starts by measuring that reality.
See what search and AI systems can currently discover about your business, services, locations, positioning, and important public information.
Identify information that is missing, inconsistent, outdated, ambiguous, or difficult for customers and search systems to discover.
Compare observed AI and search results against verified business information instead of treating every generated answer as automatically correct.
Improve technical SEO, structured data, internal information architecture, local signals, and website content where the audit shows a meaningful need.
Connect each important issue to business impact, competitive impact, fixability, priority, and the most appropriate next service or action.
Document the initial state so important information and visibility changes can be reviewed again after implementation.
AI answers can change by query, source, location, context, and time. We therefore focus on measurable information quality, coverage, consistency, discoverability, evidence, and practical improvements rather than promising a guaranteed AI ranking, citation, or recommendation.
Our methodology looks at the business as an information system rather than treating AI visibility as a single technical setting.
Review business name, category, location or service area, services, contact information, hours, positioning, and other core facts that should remain consistent.
Assess crawlability, metadata, headings, internal linking, information architecture, structured data, performance, conversion paths, and content completeness.
Compare important public business information across the website, local search sources, and relevant listings to identify meaningful inconsistencies.
Test relevant business, service, and location queries and document whether the business is mentioned, omitted, misunderstood, or represented with important factual differences.
Use a repeatable question set covering service, location, pricing guidance, comparisons, booking, availability, and other high-intent customer questions.
Connect findings to sources, evidence, severity, business impact, competitive impact, fixability, priority, and recommended next action.
The exact scope depends on the engagement level and business needs. The framework below shows the areas we can investigate and connect into one prioritized visibility assessment.
We do not create problems just to sell implementation. Findings should stand on their own, while genuine implementation needs can become the natural next step.
The audit is the entry point. When genuine gaps are found, they can become clearly scoped implementation work and, where appropriate, an ongoing optimization relationship.
Collect the business's verified information, website details, local presence, services, market context, and other public signals needed for a meaningful assessment.
Run relevant search, AI, location, service, and customer-query checks and preserve the important observations and sources.
Compare observed results against verified business information and review important findings before they become client-facing conclusions.
Classify gaps by severity, business impact, competitive impact, fixability, priority, and recommended next action.
Where implementation is appropriate, apply practical improvements across website, technical SEO, structured data, local information, content, conversion, or visibility foundations.
Review important changes, compare the new state against the original findings, and establish ongoing monitoring or periodic re-audit where it makes business sense.
Commercial Journey
Every stage should have a clear purpose. An audit remains valuable on its own, while genuine implementation and monitoring needs can create higher-value follow-on services.
We are building a public evidence library from reviewed work. Until verified client case studies are available, we show the engagement structure rather than inventing results or testimonials.
Establish the current state of business information, website foundations, local visibility, AI visibility, customer queries, and competitive context.
Document important observations, sources, screenshots, information gaps, inconsistencies, and areas requiring attention.
Where genuine needs exist, apply practical improvements across website, technical SEO, structured data, content, local information, or conversion.
Review important changes against the original findings and establish the basis for ongoing monitoring or future audits.
Public Evidence
Public proof will distinguish examples from verified client work and will never expose confidential business information.
Rather than publishing unverified testimonials or promising guaranteed AI placement, we define the work, document the findings, and connect improvements to real business needs.
Understand what customers, search systems, local sources, and AI answer systems can currently discover about the business.
Turn findings into a structured list of gaps ranked by severity, business impact, competitive impact, fixability, and priority.
Address genuine problems through clearly scoped website, technical SEO, structured data, content, local information, and conversion work.
Preserve the original findings so important changes can be reviewed later and ongoing optimization can be evaluated over time.
Our Standard
We separate verified business facts, observed search or AI results, and recommendations. Important client-facing conclusions are reviewed before publication or delivery.
Clear answers about AI Search Visibility, audits, implementation, evidence, and what businesses can realistically expect from the work.
AI Search Visibility is the ability of a business to be discovered, represented, and understood across AI answer systems and related search experiences. Our work measures the current state, identifies information and visibility gaps, and recommends practical improvements.
No. Technical SEO, crawlability, indexation, structured data, information architecture, and strong website foundations remain important. AI Search Visibility extends the assessment into how business information is discovered and represented across newer answer-driven search experiences.
Depending on scope, the audit can cover business identity, website and technical foundations, local search and information consistency, AI visibility, customer-query testing, reputation and trust signals, competitor comparison, and commercial opportunity prioritization.
No. AI answers vary by query, context, source, location, and time. We do not promise guaranteed rankings, citations, mentions, or recommendations. We focus on evidence, information quality, consistency, coverage, discoverability, and practical improvements.
Yes. An existing website can be assessed for technical, content, structured-data, information-architecture, local, and conversion issues. Where genuine gaps are found, implementation can be scoped around those findings.
You can use the audit as a standalone decision document, implement the recommendations internally, or engage us for selected improvements. Where appropriate, important changes can then be re-tested and monitored.
Yes. Implementation may include website improvements, technical SEO, structured data, business-information updates, local search work, content architecture, conversion improvements, and related visibility work, depending on the findings and agreed scope.
Our primary commercial focus is businesses with a genuine growth objective that are prepared to invest in professional digital work. The strongest fit is an organization that sees visibility, website quality, information accuracy, and customer acquisition as business priorities.
Important findings should be supported by source information or preserved evidence where practical. Verified facts, observed results, and recommendations are kept distinct, and private client information is not published as public proof without appropriate approval.
AI Search Visibility Audit
Before investing more in content, SEO, website changes, or digital growth, understand what your business information looks like today and where the most meaningful opportunities may be.
No guaranteed AI rankings or mentions. Our focus is evidence, clarity, and practical improvement opportunities.
What the Audit Helps You See
Understand how your business is currently represented
Identify important gaps and inconsistencies
See where relevant competitors are stronger
Get practical priorities for what to improve next
Findings are intended to support better decisions—not to promise outcomes that no agency can directly control.
What is the difference between AEO and GEO?
AEO makes your answers extractable by answer engines; GEO makes your business part of the answer generated by AI systems like ChatGPT and Gemini. Both depend on structured data and consistent entity information.
Answer Engine Optimization: structured, extractable answers using FAQ formats, concise definitions, and structured data.
Generative Engine Optimization: entity clarity, consistent facts across sources, and topical authority so AI systems include the business in generated answers.
Bottom line: AEO makes answers extractable; GEO makes the business part of the generated answer. Both rely on structured data and consistent entity information.
Related topics: entity seo, schema markup, semantic seo