ZashLabsSearch & content. Canada.AI Visibility Audit Services. Know where your business appears in AI answers.
Move beyond an isolated screenshot. Get a documented view of selected buyer questions, observed mentions, cited sources, and practical next steps.
Start with a clear conversation about your priorities, available inputs, and the work that will make a difference.
From a business question to something you can use.
A focused plan. Clear deliverables. A useful next step.
What should this service actually do for you?
An AI visibility audit is an investigation, not a promise of universal rankings. We test a defined set of buyer questions, record observed mentions and citations, and compare the results with the information available on your own site.
Good work starts with the right diagnosis.
A single AI-generated answer can be misleading. Responses can vary by tool, session, wording, location, and time. Reliable evaluation requires repeatable prompts, transparent records, and careful interpretation rather than a screenshot presented as proof of market share.
What we can examine
- Agreed market, tools, and query sample
- Documented brand and competitor observations
- Citation and source review where available
- Content and business-information gap analysis
- Technical discoverability checks
- Prioritised roadmap and repeat-test method
Know what the project can deliver.
Your proposal defines the selected deliverables, the depth of the review, and who implements the recommendations.
Prompt and topic inventory
A scoped set of buyer questions, including category discovery, problem-solving and provider comparison prompts relevant to the offering.
Observed mention and citation log
Documented examples of brand references, omissions, cited domains and changing response patterns, with date and test conditions recorded.
Content and technical gap analysis
Priority issues involving unclear service explanations, inaccessible information, missing evidence, structured content and third-party corroboration.
Prioritized improvement roadmap
A short list of high-value fixes with owners, practical effort estimates and what evidence would count as progress.
Have a specific challenge in mind?
Let’s discuss the right scopeA recommendation should explain what comes next.
An AI visibility audit is a diagnosis, not a promise that an AI assistant will recommend a brand. The audit sets explicit topics and evaluation prompts, collects samples, checks what sources appear and compares that evidence with your website’s content and discoverability.
Useful beyond the presentation.
We connect findings to a decision: what to change, why it matters, who needs to act, and how the result can be reviewed.
- Priorities tied to your actual business constraints
- Inputs and responsibilities agreed before production
- Implementation and validation scoped explicitly
A considered process. A practical handoff.
Discover
Agree on the market, services, comparison set, and tools to review.
Prioritise
Run and document representative query checks.
Develop
Analyze recurring patterns and inspect cited source material.
Review
Deliver an action plan separated into quick fixes and longer-term work.
Built around the job you need done.
B2B companies that want a disciplined baseline before investing in AI search-related changes.
Measure what the work is meant to improve.
The audit creates a baseline that can be repeated, but observations depend on prompts, location, user context, model updates and run-to-run variation. A single response is not a market-wide ranking.
Your proposal sets the review points and available measures. Recommendations, completed implementation, and observed outcomes are reported separately.
The next piece should support this one.
Use a focused service on its own, or connect it to the work your business needs next.
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Turn disconnected SEO activity into a clear plan for the pages, searches, and customers that matter to your business.
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Decide what to create, improve, combine, and retire with a content roadmap your team can actually use.
Explore Content Strategy ServicesA few things worth knowing.
Clear answers before you commit to a project.
Does the audit measure actual AI search traffic?
Only where suitable analytics and referral data exist. Prompt observations are not traffic measurements and should not be presented as such.
Will the findings be identical next month?
Not necessarily. AI responses and interfaces change. We record methods and dates so later checks can be compared responsibly.
Is this the same as a traditional SEO audit?
Not exactly. Technical SEO remains part of the foundation, but this review also documents sampled answer behavior, citations and how clearly external sources describe the business.
How is the scope and price agreed?
We discuss your priorities, review the available material and access, and define deliverables, responsibilities, review rounds, and a tailored quote before the work begins.
Do you work with businesses across Canada?
Yes. ZashLabs works remotely with Canadian businesses, including teams in Toronto and other markets. Your target audience, service area, terminology, and review process shape the project.
Request an AI Visibility Audit.
Share a little about your website and priorities. We will use your enquiry to discuss whether the service fits and what an appropriate project could include.
- Your website and target audience
- The problem you most want to solve
- The scope, inputs, and next step
No pressure to choose a package before the problem is understood. Please do not include passwords or confidential customer data.