You shouldn’t have to guess how visible your brand is in AI search. An AI Visibility Audit gives you a defined benchmark across AI Overviews, ChatGPT, Perplexity, and Gemini. We analyze mention share, identify where competitors are being cited and your brand isn’t, and compare visibility across the engines that matter to your audience. The result is a findings report, plus a prioritized action plan that turns those findings into your next steps. There’s no vague score to decode. We give you the context behind the data so you can understand what’s happening and where to focus. It’s designed to establish your baseline before you commit to any ongoing work.
We keep the first step simple. You’ll share your priority categories, competitors, and relevant business context. We’ll use those inputs to define the scope of the audit and begin pulling data across the AI platforms identified. No lengthy onboarding or unnecessary setup required.


You’ll receive a findings report that makes the data easy to act on. Everything is written in plain language, not delivered as a raw data dump. We organize the analysis around the most important findings, explain what they mean for your brand, and surface the gaps that deserve your attention.
We’ll put the findings into context together. During a working session, we’ll walk through a prioritized action plan, answer your questions, and discuss the practical next steps for improving your AI search visibility. You’ll leave knowing which gaps to tackle first and what it will take to close them.


How often does your brand show up when AI engines answer questions in your category? We measure your share of brand mentions across a defined query set and put that visibility into context by comparing it with your named competitors. This gives you a baseline for how consistently your brand appears across the questions most relevant to your audience.
Visibility is only part of the picture. We look at which competitors are being cited, which sources support their mentions, and where your brand may be missing from those citation patterns. This helps pinpoint the sources and content areas that influence how AI platforms represent your sector. The analysis can show where competitors have established stronger citation coverage and where your brand may have opportunities to strengthen its presence.


AI platforms can surface different brands and sources for similar questions. We benchmark your visibility across AI Overviews, ChatGPT, Perplexity, and Gemini to show where your position changes from one engine to another. You’ll also see how your competitive set varies by platform. Comparing these results side by side gives you a more complete picture of where you stand in AI search.
The findings become a clear set of next steps, prioritized around the gaps identified in your audit. If you choose to continue with Intellibright, the action plan provides a starting point for broader AI search optimization or, for location-driven businesses, local AI search optimization. You’ll have a clearer sense of which areas to address first, what the audit uncovered, and where further optimization can build on the initial findings.

An AI Visibility Audit is a point-in-time assessment of how your brand shows up in AI search. We measure mention share, identify citation gaps, and benchmark you against competitors across AI Overviews, ChatGPT, Perplexity, and Gemini. It shows where your brand appears, where competitors have greater visibility, and which gaps warrant your attention.
We use a defined set of category-relevant queries to evaluate brand mentions, citations, and competitor presence across AI platforms in scope to identify visibility patterns across engines rather than reducing your presence to a single score. This approach provides context around the findings, so you can see how and where your visibility changes across platforms and query types.
We compare your brand’s presence with the competitors you identify. This shows how often competitors appear, where they’re being cited, and how your brand’s visibility differs from theirs. Using the same query set creates a consistent basis for comparison and helps distinguish broader category patterns from gaps specific to your brand.
No. One evaluates your traditional search presence, while the other examines your visibility within AI-generated answers. AI engines pull from multiple sources to write a single answer to the query. An AI Visibility Audit determines whether your brand makes it into those answers.
You’ll receive a findings report and prioritized action plan, followed by a working session to review the results and discuss strategy. From there, your team can use the recommendations internally or explore ongoing AI search optimization with Intellibright.
The timeline depends on the scope of your audit, including the query set, competitors, and AI platforms being evaluated. We’ll confirm the scope during kickoff and provide a clear timeline before the audit begins. This keeps the process tied to the actual scope of your audit rather than applying a one-size-fits-all timeline.
Get an evidence-based snapshot of your AI search visibility before you invest in anything more.
Clear AI visibility benchmark | Competitive and citation gaps identified | Findings translated into prioritized next steps | No ongoing commitment required