AI Visibility Analysis: Find Out What AI Is Being Given to Work With
Your business may be credible, experienced and extremely good at what it does. That does not mean an AI or search system can automatically work out who you are, what you do, who belongs to the business and why the evidence fits together.
AI Search Does Not Know Your Business Because You Know Your Business
Machines still have to retrieve it, identify it, connect it and find enough evidence to work with.
A website can look perfectly clear to a human while presenting machines with duplicated identities, disconnected people, weak business relationships, inconsistent entities or information scattered across hundreds of pages.
Traditional page-by-page checks may never show the real problem because the problem is not necessarily on one page. It can exist in the way the entire site describes the business.
Are machines actually reaching the site?
Before worrying about AI visibility, establish whether qualifying AI and search systems are retrieving meaningful content in the first place.
Can the business be resolved coherently?
The company, website, people, services and important relationships should form one understandable machine-readable identity rather than a collection of unrelated fragments.
What supports that identity?
Machines need more than an impressive claim made by the business about itself. Genuine content, relationships and corroborating evidence matter.
Give Machines a Clearer Version of the Business That Actually Exists
One recognisable business. The correct website. The right people. The right services. Evidence that connects them.
AI visibility analysis is not about inventing a machine-friendly alter ego. It is about examining the real business and engineering its digital representation so that important identities and relationships are easier to retrieve and resolve correctly.
Observe → Analyse → Diagnose → Repair → Verify
We treat AI visibility as an engineering problem. Each stage answers a different question, and the stages remain separate so one convenient score does not pretend to measure everything.
Measure Retrieval
Establish whether recognised AI and search systems are actually retrieving meaningful information from the site.
Map the Site
Reconstruct the whole-site machine-readable entity graph rather than judging isolated snippets of schema.
Interpret Identity
Determine whether the business, website, people and their relationships resolve into a coherent identity.
Fix Real Faults
Correct structural weaknesses, conflicting identities and broken relationships where the evidence supports doing so.
Run It Again
Perform fresh analysis after remediation rather than declaring our own work successful because we remember changing it.
Three Different Tools. Three Different Questions.
AI Observatory
Establishes whether recognised AI and search systems are retrieving the site, using network-edge evidence rather than browser pixels or wishful interpretation of server noise.
Explore AI Observatory →Schema Gorilla
Reconstructs the site's machine-readable entity graph across the whole website, revealing business identities, people, relationships, consolidation problems and unresolved structure.
Explore Schema Gorilla →AI Identity Diagnostic
Turns the raw Schema Gorilla evidence into an understandable assessment of whether the organisation, website, people and relationships resolve into a coherent machine-readable business identity.
View the Technical Diagnostic →We Found a Problem on Our Own Site First
During commissioning, Schema Gorilla analysed the complete Sydney Business Web site and the AI Identity Diagnostic detected residual fragmentation around the site's principal Person identity.
The affected structured-data references were repaired and a completely fresh site discovery and analysis was performed.
The important bit is not that the numbers changed. It is that the fragmented Person identities disappeared and the fresh analysis moved Person identity consolidation from ATTENTION to PASS.
That is what diagnostic work is supposed to do: find something real, repair it, and then test the result again.
Analysis Is Useful. Repair Is Better.
We are not interested in handing you a colourful report explaining that your website has problems and then disappearing into the fog.
Establish the Current Position
Examine retrieval access, existing structured data, business entities, key people, relationships and the wider machine-readable structure.
Identify Material Weaknesses
Separate meaningful identity problems from harmless noise and determine what is worth fixing rather than manufacturing a shopping list of warnings.
Remediate What Can Be Improved
Repair entity architecture, structured relationships and supporting signals where there is legitimate business evidence to support the change.
Verify the Result
Reanalyse the site after remediation so the acceptance test is based on fresh evidence rather than our recollection of what we changed.
Businesses That Already Have Something Worth Finding
AI visibility engineering works best when there is a real business underneath it: genuine services, real experience, identifiable people, useful content, legitimate qualifications or credentials where relevant, customer evidence and information capable of being corroborated.
We can help machines understand that evidence more coherently.
We Engineer Your Evidence. We Do Not Control Google.
No credible provider can guarantee that Google, ChatGPT, Perplexity or another AI system will recommend a particular business for a particular query.
Those platforms make their own retrieval, ranking, synthesis and recommendation decisions.
What Sydney Business Web can do is analyse and improve the part you control: the accessibility, identity structure, relationships, evidence and technical representation of the real business.
We can make damned sure your own website is not making your business harder for machines to identify correctly.
AI Observatory · Schema Gorilla · AI Identity Diagnostic · AI Visibility Services & Pricing
Find Out What Machines Are Actually Being Given to Work With
If your business matters enough to compete for attention in AI-assisted search, its digital identity should be worth examining properly.
Technical reader? Read how the AI Identity Diagnostic works →