Brand mentions are inconsistent
Your company may appear for some prompts but disappear for commercial, comparison, or category questions.
Understand how AI answer engines represent your brand across prompts, platforms, citations, and competitors.
No guaranteed rankings. Evidence-based analysis from observed AI answers.
Buyers increasingly use AI engines to compare providers, build shortlists, and validate trust. A visibility audit shows whether your brand is present, how it is framed, and where competitors or sources shape the answer.
Your company may appear for some prompts but disappear for commercial, comparison, or category questions.
AI answers often recommend named alternatives before a buyer evaluates your own positioning.
The sources AI engines lean on can be outdated, incomplete, or stronger for competitors.
The AI visibility audit focuses on a defined evidence set, not broad claims or generic SEO reporting.
We review selected prompts and platforms to see whether your brand appears and how it is described.
We identify which brands are recommended instead and where they show stronger answer coverage.
We capture the domains, references, and content types that appear to support the answers.
We connect visibility gaps to website clarity, entity signals, content structure, and proof points.
These examples are illustrative only. Actual findings depend on the agreed brand, market, prompts, platforms, sources, and competitors.
Illustrative example
A common audit pattern is strong recognition when the brand is named, but weak presence when buyers ask for best-fit providers.
Illustrative example
The report can show whether external sources are shaping the answer more than your product, service, or proof pages.
A decision-ready audit package with clear observations, evidence, and practical next actions.
Orbit uses defined prompt sets, observed AI answers, source and citation analysis, competitor comparison, readiness checks, and human-reviewed recommendations.
AI answers can vary by platform, prompt, geography, interface, model update, and time. The goal is to reduce uncertainty with a transparent evidence set, not to promise fixed placement in AI-generated answers.
Defined prompt set by buyer intent
Observed answer capture across selected engines
Competitor and source comparison
Human-reviewed recommendations
Best-fit package
Best for a complete benchmark audit with competitor visibility, citation analysis, readiness review, and strategic recommendations.
Related services
It is a structured review of how AI engines mention, recommend, cite, or ignore your brand across a defined set of prompts and platforms.
Next step
Request a human-reviewed scope and get a practical evidence set for your next AI visibility decision.