AI Visibility Audit Checklist: A Step-by-Step Guide

An AI visibility audit is the foundation of any serious effort to improve how AI platforms discuss and recommend your brand. Without a clear baseline, you are guessing at what works and what does not. This guide provides a complete, repeatable framework for auditing your presence across every major AI platform, recording the results in a structured way, and using those findings to set priorities.

Whether you are conducting your first audit or establishing a recurring process, this checklist will ensure you cover every platform, every query type, and every dimension of AI visibility that matters.

Why You Need an AI Visibility Audit

Most businesses have no idea what AI platforms say about them. They may check ChatGPT once out of curiosity, but they have never systematically examined how their brand appears — or fails to appear — across the full range of AI assistants their customers use.

This blind spot is costly for three reasons:

• You cannot improve what you do not measure. Without a baseline, you have no way to know whether your optimization efforts are working.
• AI platforms differ significantly. Your brand may be well represented on one platform and completely absent from another. A single-platform check gives a misleading picture.
• Competitors may be ahead of you. An audit reveals not just your own visibility, but the competitive landscape — which brands AI platforms recommend instead of yours.

A structured audit replaces guesswork with data. It tells you exactly where you stand, where the gaps are, and where to focus your efforts.

Before You Start: What You Need

Gather the following before beginning your audit:

• A list of 20-30 queries that your target customers are likely to ask AI assistants. These should include product/service recommendations, comparison queries, "best of" queries, industry-specific questions, and problem-solving queries. Think in terms of how a real person would phrase a question to ChatGPT or Perplexity — conversational, specific, and intent-driven.
• A list of your top 3-5 competitors. You will track their visibility alongside your own.
• Access to each AI platform. You need accounts on ChatGPT, Claude, Perplexity, Google Gemini, and access to Google search for AI Overviews.
• A tracking spreadsheet or tool. You can use the template framework provided below, or use a dedicated tool like RivalScope to automate the process.

The Five-Platform Audit Process

Platform 1: ChatGPT

ChatGPT is the most widely used AI assistant, making it the most important platform for most businesses. When auditing ChatGPT:

Queries to run:

• "What are the best [your category] for [your target audience]?"
• "Can you recommend a [your product/service type]?"
• "What should I look for when choosing a [your category]?"
• "[Your brand name] vs [competitor name]"
• "Is [your brand name] any good?"

What to record for each query:

• Whether your brand was mentioned (yes/no)
• The position of your mention (first, second, third, or not mentioned)
• The exact wording used to describe your brand
• Which competitors were mentioned
• Whether the response was positive, neutral, or negative toward your brand
• Whether any sources or citations were provided
• The date and time of the query (responses can vary)

Important considerations:

• Run queries in a fresh conversation — previous context influences responses
• Try both the free and paid tiers if possible, as browsing-enabled ChatGPT may produce different results
• Note whether ChatGPT is browsing the web or relying on training data for each response

Platform 2: Claude

Claude tends to produce more nuanced, detailed responses and is increasingly popular among professionals and knowledge workers. The audit process is similar but note these differences:

• Claude may provide more caveated recommendations (e.g., "it depends on your specific needs")
• Claude's training data and knowledge cutoff may differ from ChatGPT's
• Claude tends to emphasize accuracy over comprehensiveness, so a mention from Claude often carries strong credibility signals

Record the same data points as for ChatGPT, and note any significant differences in how Claude describes your brand compared to other platforms.

Platform 3: Perplexity

Perplexity is a search-first AI platform that always retrieves real-time web results. This makes it particularly important to audit because:

• Perplexity shows explicit citations with links to source pages
• Results are heavily influenced by what currently ranks well in web search
• You can see exactly which sources informed the AI's recommendations

Additional data to record for Perplexity:

• Which sources were cited (URLs)
• Whether your own website was cited as a source
• Whether competitor websites were cited
• The number and quality of sources referenced

Platform 4: Google Gemini

Gemini is integrated across Google's ecosystem, including Android devices and Google Workspace. Audit Gemini for:

• Recommendations in response to your target queries
• How Gemini describes your brand compared to other platforms
• Whether Gemini references Google Maps, reviews, or other Google ecosystem data
• Any integration with Google Business Profile information

Platform 5: Google AI Overviews

Google AI Overviews appear at the top of Google search results for many queries. To audit them:

• Search for your target queries on Google (desktop and mobile)
• Note which queries trigger an AI Overview and which do not
• Record whether your brand or website is cited in the AI Overview
• Note which competitor sites are cited
• Check whether the AI Overview links to your content as a source

Important: AI Overviews do not appear for all queries, and they vary by location and device. Test from multiple contexts if possible.

The Audit Recording Framework

Use the following structure to record your findings consistently. For each query, create a row with these columns:

Column	Description
Query	The exact question asked
Platform	Which AI platform
Brand mentioned	Yes/No
Position	1st, 2nd, 3rd, or N/A
Sentiment	Positive / Neutral / Negative
Description used	Exact wording about your brand
Competitors mentioned	List of competitor names
Sources cited	Any URLs or sources referenced
Date	When the query was run
Notes	Anything unusual or noteworthy

This structured format allows you to compare across platforms and track changes over time.

Calculating Your Baseline Metrics

Once you have completed the audit across all platforms and queries, calculate the following baseline metrics:

Mention Rate

The percentage of queries where your brand was mentioned, broken down by platform:

Mention Rate = (Queries where brand was mentioned / Total queries) x 100

Calculate this for each platform individually and as an overall average. A healthy mention rate varies by industry, but as a rough benchmark:

• Below 20%: Significant visibility gap
• 20-40%: Below average — room for improvement
• 40-60%: Average — competitive but not dominant
• 60-80%: Strong visibility
• Above 80%: Excellent — you are a category leader in AI visibility

Share of Voice

Your share of total brand mentions relative to competitors:

Share of Voice = (Your brand mentions / Total brand mentions across all tracked brands) x 100

This tells you how you compare to competitors specifically, not just whether you appear.

Sentiment Score

Categorize each mention as positive, neutral, or negative. Calculate the percentage of positive mentions:

Positive Sentiment Rate = (Positive mentions / Total mentions) x 100

A declining sentiment score is a warning sign that requires immediate attention, even if your mention rate is healthy.

Platform Coverage

The number of platforms where your brand appears at least once:

Platform Coverage = Platforms with at least one mention / Total platforms audited

Aim for coverage across all five major platforms. Gaps in platform coverage represent missed audiences.

Identifying Gaps and Priorities

With your baseline data collected, identify the most impactful areas for improvement:

High-priority gaps

• Queries where competitors are mentioned but you are not. These represent direct competitive losses — customers asking about your category and being directed elsewhere.
• Platforms where you are entirely absent. A missing platform means an entire audience segment cannot find you through AI.
• Negative sentiment mentions. These actively damage your brand and should be addressed urgently.

Medium-priority gaps

• Queries where you are mentioned but ranked below competitors. You have some visibility but are losing the positioning battle.
• Inconsistent descriptions across platforms. If ChatGPT describes you accurately but Gemini gets your offering wrong, you have an entity consistency problem.

Lower-priority gaps

• Queries where no brands in your category are mentioned. These may be queries that AI platforms do not yet handle well.
• Platforms where all competitors have equally low visibility. Less urgent because no competitor has an advantage.

Setting Up a Recurring Audit Process

A single audit provides a valuable snapshot, but AI visibility changes over time. Establish a recurring audit process:

Monthly: Re-run your full query set across all platforms. Compare results to your baseline and previous months. Track trends in mention rate, share of voice, and sentiment.

Weekly: Spot-check your top five most important queries across all platforms. This lighter check catches sudden changes quickly.

After major changes: Run a targeted audit after publishing significant new content, earning major press coverage, or making substantial changes to your website. This helps you measure the impact of specific actions.

Quarterly: Review and update your query list. Add new queries that reflect emerging customer questions or new competitors. Remove queries that are no longer relevant.

Automating the Audit Process

Manual audits are valuable for building understanding, but they are time-consuming and inconsistent. AI responses vary between sessions, so a query you run today may produce a different result tomorrow. Manual audits also do not scale well beyond 20-30 queries across five platforms.

RivalScope automates the entire audit process. It systematically queries all five major AI platforms with your target queries, records every mention, tracks sentiment, calculates share of voice, and presents trends over time. This transforms the audit from a periodic project into a continuous monitoring capability.

Whether you start with manual audits or automated tracking, the critical step is establishing a baseline and measuring consistently over time. Without that measurement discipline, any AI visibility strategy is operating in the dark.

Your Audit Action Plan

1. This week: Compile your query list and competitor list
2. Next week: Run the full five-platform audit and record results
3. Within 30 days: Calculate baseline metrics, identify gaps, and set priorities
4. Ongoing: Establish your recurring audit cadence (monthly recommended)

The brands that take AI visibility seriously are the ones that measure it systematically. An audit is where that journey begins.

Audit your AI visibility today -- start a free 3-day trial with RivalScope.