An AI visibility audit is a comprehensive review that assesses how often and how accurately your brand appears across AI search platforms such as ChatGPT, Google AI Overviews, Perplexity, and Gemini.
First, it measures presence, frequency, accuracy, sentiment, and the sources AI relies on when describing your brand. Then, the audit provides actionable steps to increase your brand presence in AI searches.
Buyers haven't abandoned Google, but they've added AI to their research stack. A prospect comparing enterprise software options today might ask ChatGPT for a shortlist before they ever run a branded search.
If your brand isn't in those answers, you're losing out to competitors.
For marketing leaders and in-house teams who want to understand what an AI visibility audit involves, how to run one, and what to do with the results, Fratzke has you covered. We've run AI visibility audits for brands that ranked well in Google but were invisible or misrepresented in the AI answers buyers spent most of their time reading.
What an AI Visibility Audit Measures (and Why Brand Visibility in AI Is Now a Board-Level Issue)
An AI visibility audit measures five things across the platforms your buyers use:
- Presence
- Accuracy
- Sentiment
- Citations
- Share of voice
That's a different scope from a traditional SEO audit, which tracks rankings and traffic from search engines where your own pages compete directly.
AI search operates on a different logic.
Google ranks pages. AI systems synthesize answers, often without requiring a click.
A brand can rank in Google's top ten and still be absent or misrepresented in AI answers for the same query. Research from Ahrefs analyzing citation overlap found only around 6.82% URL overlap between what ChatGPT cites and what ranks in Google's top 10.
Ranking well in Google is not a measure of your AI visibility.
The reputational risk point deserves direct attention. An audit is not only about being present. It's about catching misinformation and negative framing before it costs you.
Several brands have discovered that ChatGPT was citing wrong pricing, conflating them with competitors, or confidently stating features that don't exist. The AI voice sounds authoritative, buyers believe it, and prospects arrive at demos already misinformed.
That's a brand visibility in AI problem that only an audit will surface.
The Metrics That Matter in an AI Visibility Audit
These metrics are not standardized across all AI tools, and the same brand can get meaningfully different scores from different platforms. Choose the AI platform your target audience relies on most to stay informed about trends.
- Presence/Mentions: Whether and how often your brand appears in AI answers
- Citations: Whether your own pages are the cited source, or whether AI relies on third parties
- Share of Voice: How often you appear versus competitors for the same prompts
- Average Position: How early your brand is mentioned within an answer
- Sentiment: Whether AI describes your brand positively, neutrally, or negatively
- Accuracy: Whether the specific claims AI makes about your brand are correct
- AI referral traffic: Whether AI visibility generates real clicks and conversions
Presence without citations means AI is describing you without pulling from your own content, limiting your ability to influence what it says. AI referral traffic, trackable via Semrush or GA4, is the metric that connects visibility to business outcomes and makes the case to leadership.
How to Audit Your Brand's AI Visibility, Step by Step
This is the end-to-end process we use with clients. It's platform-agnostic, and we are ready to help you get started today.
Step 1: Define Your Scope, Entities, and Prompts
Decide which AI platforms to include (at minimum: ChatGPT, Perplexity, Google AI Overviews, Gemini), which brand entities matter (company name, products, key executives, flagship services), and which regions and languages apply.
The prompt list is the most important output of this step. AI prompts are longer and more conversational than keywords.
Build prompts from three categories:
- Unbranded problem-aware queries ("what are the best options for enterprise content strategy")
- Comparison queries ("how does [your brand] compare to [competitor]")
- Solution-aware queries ("what agencies specialize in AI search visibility")
Poll your sales team for the questions buyers actually ask. That's faster and more accurate than any keyword tool.
Output of AI Prompts: A documented scope with entity list, platform list, and 20-40 prompts by intent.
Step 2: Benchmark Your Current Visibility
Run your full set of prompts and record a baseline for each platform. Start with the free method of logging out or going incognito to avoid personalization bias.
For each prompt, document whether your brand appears, where it appears in the answer, whether your own pages are cited, and how your brand is framed. A spreadsheet with six columns covers this well.
Paid tools like Ahrefs Brand Radar, Semrush AI Toolkit, or dedicated GEO platforms add automation and consistent cadence once your program is established. For initial audits or smaller brands, manual checks produce a real signal. Tools earn their cost when you need multi-platform tracking, large prompt sets, or regular stakeholder reporting.
We worked with a technology client that lacked AI visibility in all platforms. By combining SEO and GEO strategies, we increased the brand’s AI visibility by 110%, creating more opportunities for organic growth.
Output for Your AI Visibility Status: A baseline spreadsheet with presence, position, and citation data across all platforms and prompts.
Step 3: Assess Accuracy, Sentiment, and Framing
Presence data tells you whether you're in the room. This step tells you what's being said once you are.
For every prompt where your brand appeared, evaluate three things:
- Accuracy (Is pricing, product description, and feature information correct?)
- Sentiment (Is the framing positive, neutral, or negative?)
- Differentiation (Do the things that make your brand worth choosing actually show up, or does AI describe you in the same generic terms it would use for any competitor?).
Document every incorrect, outdated, or misleading claim, and note the exact prompt that triggers it. This step becomes the highest priority when we conduct an audit at Fratzke.
Output for Brand Reputation on AI Platforms: An accuracy and sentiment log, flagged by severity and prompt.
Step 4: Find Which Sources and Pages AI Pulls From
AI pulls all information from sources, but which ones? Understanding which sources it trusts when describing your brand tells you where your visibility comes from and where it's being shaped by others.
For each prompt where your brand appears, note every cited or referenced source, which could include your own pages, press coverage, review platforms (G2, Capterra, Trustpilot), Reddit threads, Wikipedia, competitor comparison pages, and industry publications. This source map reveals which owned pages are already doing work in AI search and which third-party sources are controlling your brand narrative.
Check that AI crawlers are permitted in your robots.txt. ChatGPT's indexing crawler is OAI-SearchBot; its live browsing agent is ChatGPT-User. If OAI-SearchBot is blocked, your pages can't be indexed by ChatGPT.
See Fratzke's AI search visibility guide for the full technical checklist.
Output for Finding AI Search Platform Sources: A source map showing which owned and third-party pages drive your current AI visibility.
Step 5: Benchmark Against Competitors
Run the same prompt set for your top two or three competitors and compare presence, share of voice, citations, and framing. Look specifically for the prompts where a competitor appears and you don't.
Those gaps are your strategic roadmap.
Also note how competitors are framed versus how you are. If a competitor's edge is that their answers appear cleanly in AI responses and yours don't, the problem is usually in the content.
AI chooses the content that answers the question most directly. If a competitor has clear, crawlable content addressing a buyer's question and you don't, expect them to win that prompt.
Output for Beating Competitors in AI Answers: A competitive share of voice comparison by prompt, with gaps flagged.
Step 6: Check Whether AI Can Crawl and Interpret Your Site
If AI platforms can't read your content, they can't cite it.
Confirm these four things for AI platform crawlability:
- Key pages are indexed in Google Search Console
- AI crawlers (OAI-SearchBot, PerplexityBot, Googlebot) are permitted in robots.txt
- Key content is in crawlable HTML rather than JavaScript-only rendering
- Critical brand facts are in text rather than images or PDFs.
Output for AI Platform Crawlability: A technical checklist with pass/fail status and a prioritized fix list.
Step 7: Score It and Build a Repeatable Baseline
Pull findings into a scorecard with five metrics for measuring AI visibility:
- Presence rate (percentage of prompts where your brand appears)
- Citation rate (percentage of appearances where your pages are the source)
- Sentiment distribution
- Accuracy score
- Share of voice versus top competitors.
Segment by platform to see how your brand appears differently on each. Progress over time is what matters.
Output for an AI Visibility Score: A five-metric scorecard, segmented by platform, with a scheduled re-audit date.
How to Read Your AI Visibility Audit Findings
Collecting data is not the same as knowing what to do with it. The most common mistake after an audit is chasing surface-level scores without understanding why the patterns exist.
Look for patterns in your AI visibility audit findings, not outliers. This is best done by a human eye that knows your brand and can recognize patterns that align with company goals. One prompt where your brand doesn’t appear could be a one-off. A category of prompts where you consistently fail to have a presence is a blaring signal.
Are you absent on unbranded prompts but present on branded ones? That means buyers who already know you can find you, but your brand isn’t in the discovery conversation.
Are you present but never cited by your own pages? That means that third-party sources control your narrative.
Are you cited but inaccurately? That points to stale content or uncorrected profiles.
Use this three-part prioritization frame.
Fix Falsehoods About Your Brand in AI Answers: Correct misinformation at the source before any content work compounds on top of it.
Build New Content Optimized for AI: Create or improve owned content for topics and prompts where you're absent.
Influence Other Brands to Increase Your Authority on AI Platforms: Earn mentions on the third-party sources AI trusts, since independent coverage often carries more weight in AI answers than owned pages.
Each finding from your audit maps to one of these three buckets. Start with the first one, because correcting an inaccurate AI claim is faster than any content program.
Turning Your AI Visibility Audit Into an Action Plan
The three levers for improving AI visibility each require different functions and different timelines.
Fix is the most urgent. Incorrect AI claims trace back to a specific source. For example, an outdated Clutch profile, a G2 entry with wrong pricing, or a Wikipedia edit that went unreviewed. Find the source of each inaccuracy and correct it there. Publishing new owned content does not overwrite bad third-party information in AI answers.
Build means creating or improving owned content for the questions AI is actively answering. Clear structure, direct answers, specific claims, and coverage of real buyer questions are the fundamentals. Fratzke's content and SEO strategy work is built around exactly this approach.
Influence is where most brands underinvest. BrightEdge research found that ChatGPT includes brand mentions in 99.3% of eCommerce responses, but only for brands it has already resolved across enough independent sources. That resolution is built through earned media, press coverage, and credible third-party citations, not website copy.
When to Bring in Help for an AI Visibility Audit
DIY works well when your brand has a focused entity footprint, your team has SEO and content capability, and you have time to run and interpret prompts manually. A focused audit by an internal team for a straightforward brand can be completed in a few days.
Outside help from a digital marketing partner pays off when you're managing a complex brand with multiple products or locations, when your brand is being actively misrepresented in AI answers, when a competitor is dominating your category in AI search, or when you need to connect AI visibility metrics to revenue for executive reporting.
If you fit the second profile, Fratzke runs AI visibility audits as part of our engagements. Learn more about working with us.
Building an AI Visibility Program That Compounds
A single audit gives you a snapshot. A repeatable program builds compounding advantage over competitors who are still flying blind.
AI platforms update their models regularly. Competitors publish new content. Third-party sources shift their framing of your category.
The brands that win in AI search are the ones that build consistent measurement into their operating rhythm, act on what they find, and conduct a routine audit on a monthly or quarterly basis using the same scorecard and prompts.
Fratzke helps mid-sized and enterprise marketing teams close the gap between “we’ll get to that one day” and “the audit is ready and actionable steps are outlined”. Drawing on experience with top brands, we combine strategic expertise with a human-centered approach that addresses the integral parts of in-house marketing.
Reach out to start the conversation.
Frequently Asked Questions About AI Visibility Audits
What is an AI visibility audit?
An AI visibility audit is a structured review of how, how often, and how accurately your brand appears in AI-generated answers across platforms like ChatGPT, Perplexity, Google AI Overviews, and Gemini. It measures presence, citations, share of voice, sentiment, and accuracy. The goal is to understand your brand's footprint in AI search and catch gaps or misinformation before they shape buyer perceptions.
How do I audit my brand's visibility in AI tools?
Build a prompt set based on the questions your buyers actually ask, including unbranded, comparison, and solution-aware prompts. Run those prompts across ChatGPT, Perplexity, Gemini, and Google AI Overviews using logged-out or incognito sessions. Record whether your brand appears, where it appears, which pages are cited, and how your brand is framed. Compile findings into a scorecard and re-run on a regular cadence to track trends.
Can I check my AI visibility for free?
Yes. The manual method, running your prompt set in incognito browser sessions and recording results in a spreadsheet, costs nothing and produces useful baseline data. It's time-intensive for large prompt sets but a legitimate starting point. Paid tools add automation and multi-platform aggregation, but they aren't required to begin an AI visibility audit.
How is an AI visibility audit different from an SEO audit?
An SEO audit measures your website's technical health and ranking factors against search engine algorithms. An AI visibility audit measures how AI systems describe your brand in synthesized answers, regardless of rankings. A brand can rank in Google's top ten and still be absent or misrepresented in AI answers for the same query, because AI systems cite pages from a fundamentally different source pool than organic search results.
How often should I run an AI visibility audit?
Run a full audit quarterly, with lighter monthly checks on your highest-priority prompts. AI platforms update their models frequently, competitors publish new content, and third-party sources change. A quarterly cadence using the same scorecard and prompt set gives you comparable trend data and enough frequency to catch significant shifts early.
Why does my brand show up in Google but not in ChatGPT?
Because ChatGPT and Google pull from different source pools. Research from Ahrefs found only around 6.82% URL overlap between ChatGPT's cited sources and Google's top 10 for the same queries. ChatGPT builds answers from sources it has indexed independently, including third-party coverage, Reddit, and news. Strong Google rankings are a useful foundation but don't guarantee AI visibility.
What is share of voice in AI search?
Share of voice in AI search measures how often your brand appears in AI-generated answers compared to competitors, across a consistent set of prompts. If you run 40 prompts and your brand appears in 18 while a competitor appears in 28, your share of voice is lower. It's most useful for competitive benchmarking and tracking whether your AI visibility program is gaining or losing ground.
Do I need a paid tool to audit my AI visibility?
Not to start. Manual checks in incognito sessions across ChatGPT, Perplexity, Gemini, and Google AI Overviews are sufficient for an initial audit or smaller brands. Paid tools like Ahrefs Brand Radar, Semrush AI Toolkit, or dedicated GEO platforms earn their cost when you need consistent multi-platform tracking, large prompt sets, or regular leadership reporting.