Byte Digital's AI visibility audits examine how a business can be found, understood and evaluated through AI-assisted search. The audit connects technical website checks with business information, customer questions and evidence. Its practical output is a prioritised plan for improving the information available about the company.
The AI visibility audit service explains the commercial offer. A free initial visibility review provides a starting conversation and assessment. A detailed standalone audit suitable for handover to another developer is scoped and priced separately.
Start with the business and the buying decision
Byte agrees the services, products, markets and audiences that matter to the assignment. This establishes what the business wants to be known for and which decisions its prospective customers need to make.
For a home-care company, a useful question might combine the type of care with its actual service area. For an ecommerce retailer, the question might concern product suitability, compatibility or delivery. For a specialist agency, it might concern relevant experience and who will carry out the work. These are planning examples; each audit uses questions appropriate to the client's own business.
The scope records the websites, priority URLs, platforms, countries, language, competitors and questions included. Byte reviews existing SEO work, content plans and analytics so the recommendations connect with the client's current activity.
Technical access and discovery
The access review follows a page from its public URL to the content a visitor or research tool receives. Checks can cover:
- HTTP responses, redirects and temporary verification screens.
- Robots rules, page-level indexing instructions and HTTP indexing headers.
- Canonical URLs, sitemap entries and internal links.
- Readable page content, headings, navigation and mobile presentation.
- Structured data and its agreement with visible information.
- Search Console and Bing evidence available through authorised accounts.
A request that returns a security challenge is investigated alongside the host or developer. Byte records the affected URL, time, response and test conditions. Security protections are maintained while the cause is identified. Access checks distinguish browser access, crawler-style tests and evidence from verified search-engine tools.
For ChatGPT search, OpenAI documents OAI-SearchBot separately from GPTBot, which relates to model training, and ChatGPT-User, which supports user-initiated visits. The review considers the relevant purpose of each control. A successful request demonstrates access for that test; indexing and subsequent use in an answer are assessed separately.
Review the business facts and supporting evidence
Byte checks whether the website gives a consistent account of the company's services, people, locations, experience and working arrangements. The review identifies facts that need clearer explanation and useful evidence that has not yet reached a public page.
Case studies are checked for the project objective, work delivered, reporting period and meaning of each result. Public profiles, partner listings, reviews and published client material can provide additional corroboration. The content and evidence method describes how these sources are used.
The audit also follows the visitor's next step. A useful answer should lead to relevant service information, an appropriate example or a working enquiry route.
Sample AI answers consistently
Branded questions test factual representation: can an assistant describe the business accurately? Unbranded buying questions test a different situation: which businesses or sources appear when a prospective customer researches a need?
Byte records the exact question, date, platform or surface, search mode, language, market and cited URLs. The record distinguishes a brand mention, a citation, a recommendation and a factual error. A stable question set is repeated under comparable conditions, while exploratory questions are labelled separately.
Findings retain their sample size. An appearance in three of five recorded answers means three of those five observations, rather than a market-wide ranking. The AI search measurement article explains how those records feed reporting.
Turn findings into an implementation plan
Each recommendation identifies the affected page or source, the finding, the proposed improvement and the reason for its priority. The plan distinguishes access problems, factual corrections, content opportunities and ongoing monitoring.
| Audit output | How it is used |
|---|---|
| Business and question map | Keeps the work focused on relevant customers and services |
| Dated answer and source examples | Shows the observations behind a recommendation |
| Technical findings with URLs | Gives the developer or host a specific issue to investigate |
| Content and evidence inventory | Identifies information to improve, create or corroborate |
| Prioritised delivery plan | Connects value, effort, dependencies and the next action |
Byte can implement the agreed work directly or coordinate with an existing agency or developer. The proposal defines the audit coverage, deliverables, fee and implementation arrangements. AI SEO engagements explains that process.
Related reading
- AI SEO and GEO at Byte.
- AI search measurement and reporting.
- How Byte's knowledge base works.
- Choosing an AI SEO agency.
From audit findings to delivery
The technical implementation method expands the access and schema checks. ChatGPT visibility and Google AI search describe the corresponding platform work. Byte’s own website case study provides an implementation example.
References
- Byte Digital: AI visibility audits.
- OpenAI: crawler documentation (opens in a new tab).
- Google Search Central: optimising for generative AI features (opens in a new tab).
- Byte Digital's approved service scope and reporting workflow, 19 October 2026.