How to Audit Your Brand’s AI Search Visibility (Free Checklist)

Key Takeaways

• An AI visibility audit scores how often ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews mention your brand.
• You can run the full seven-step audit in 6 to 10 hours with no paid tools.
• Off-site presence decides most outcomes: 90% of AI citations come from earned and owned media, per multiple 2025 PR-industry analyses.
• Benchmark against a 20% mention rate on category-defining prompts, and re-audit every quarter.

An AI search visibility audit measures how often your brand appears in AI answers, where it ranks, and how it’s described. It covers ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. This guide gives you my seven-step framework, a free 16-point checklist, and the benchmarks that separate healthy from invisible.

The core question is blunt: when your buyers ask AI for recommendations, does your brand come up? This audit answers that in 6 to 10 hours of work.

Wait, don’t I need an expensive monitoring tool for this? Nope. A spreadsheet and the free chat interfaces cover the entire baseline.

One frame before we start: I think of ChatGPT, Perplexity, Gemini, Claude, and AI Overviews as the AI jury. They deliberate over sources you don’t control, then hand down verdicts your buyers treat as fact. The audit is discovery, and you’re about to find out what evidence the jury has on you.

We run this exact audit at OutreachBloom, my B2B agency for cold email, LinkedIn outreach, and AI search visibility. What follows is the whole process, nothing held back.

Why AI Visibility Audits Matter in 2026

Buyers moved. ChatGPT has reached 800 million weekly active users, per OpenAI (October 2025). Google AI Overviews now appear in 25.11% of searches, a sharp rise from early 2025.

Around 93% of AI search sessions end without a click to any website. Ouch. If the answer never names you, the buyer never meets you.

Your Google rankings won’t save you either. Ahrefs’ August 2025 research found roughly 80% of URLs cited in AI responses don’t rank in Google’s top 100.

The jury also weighs different signals than Google does. ConvertMate analyzed more than 80 million citations and found brand search volume correlates with AI citations at 0.334. Traditional domain authority showed little predictive correlation.

Two terms matter before you score anything. A mention is your brand named inside an AI response. A citation is a clickable source link, typically in Perplexity, AI Overviews, or ChatGPT Search.

The distinction changes your strategy, so I wrote a full guide on brand mentions vs citations if you want the deep version.

Key Data Point: Earned Media Drives AI Citations

Roughly 90% of AI citations driving brand visibility come from earned and owned media rather than paid placements. That figure comes from several 2025 PR-industry analyses (Muck Rack, Fullintel), not a single study.

The 7-Step AI Visibility Audit Framework

Run these seven steps in order. Each one builds on the last, and skipping the early steps produces findings you can’t act on.

Step 1: Build Your Prompt Library

A prompt library is a curated set of 20 to 50 queries written the way your target buyers talk. It’s the foundation of the whole audit, so build it first.

Group your prompts into four categories:

• Category definition: “what is X”
• Comparison: “X vs Y”
• Recommendation: “best X for Y”
• Use-case: “how do I solve X”

Use your buyer’s phrasing instead of your internal language. “Best cold email agency for SaaS startups” beats “B2B outbound services provider” every time.

Step 2: Test Across Major AI Platforms

Run every prompt through ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Poll the whole jury, because one juror tells you almost nothing.

Citation volumes vary enormously across platforms for the same brand, per Superlines’ analysis of 34,234 AI responses. So document the full response from each platform. A yes or no on appearance throws away the data you’ll need later.

Step 3: Score Mention Rate, Position, and Sentiment

Capture three data points for every prompt: did your brand appear, where did it appear, and how was it described? Log all three for each platform.

Mention rate is the percentage of prompts in your audit set where your brand appears. A 20% mention rate means you show up in 1 of every 5 queries.

Track your top competitors on the same three axes. Note position carefully too, since first-position mentions get far more user attention than brands buried down the list.

Pro Tip: Watch the Cross-Platform Sentiment Gap

The same brand can show 0.769 sentiment on Perplexity and 0.052 on ChatGPT, a 14.8x gap, per Superlines’ 2026 data. Gaps like that usually trace to one specific source: a Reddit thread, a G2 review cluster, or outdated press. Audit which sources each platform cites and you’ll find the fix.

Step 4: Audit Technical Accessibility

Check whether AI crawlers can read your site at all. Ugh, I know, robots.txt files. Do it anyway.

The common blockers are overly restrictive robots.txt rules, CDN bot filtering, JavaScript-only rendering, and aggressive WAF settings. Any one of these can hide your best pages from the jury.

While you’re in there, add or verify an llms.txt file at yourdomain.com/llms.txt. It’s a plain text file that gives AI systems a curated map of your most important pages. Treat it as a clarity signal; nobody has proven it moves rankings.

Step 5: Audit Owned Content Structure

Structure decides whether your pages get quoted. Pages with well-organized headings are 2.8x more likely to earn citations, per AirOps research cited by Superlines. And pages updated within the last two months earn 28% more citations than older content.

Check every high-priority page for five things:

• Direct-answer opening sentences
• FAQ schema
• dateModified timestamps
• Embedded citations and statistics
• A clear H2 and H3 hierarchy

Step 6: Audit Your Off-Site Citation Footprint

The jury reads Reddit. Per Semrush’s analysis, Reddit runs neck and neck with Wikipedia as the most-cited domain by LLMs.

Audit your presence across Reddit, Quora, industry news outlets, editorial listicles, and review sites like G2 and Trustpilot. Document what you find, thread by thread.

Brands with real engagement on Reddit and Quora see 4 to 7x citation increases. That’s the payoff for showing up where the jury does its reading.

Step 7: Benchmark Against Competitors

Score your top three competitors against the same prompt library and the same audit criteria. Every visible difference is a tactical opportunity.

Look for the specific gaps: the Reddit threads they’re in and you’re missing, the third-party listicles that skip you. Those gaps become your work queue for the next quarter.

Key Insight: Multi-Source Presence Beats Single-Site Authority

Brands referenced positively across four or more independent sources are 2.8x more likely to appear in ChatGPT responses, per the 2026 AI Search Visibility Report. That’s compared with brands mentioned only on their own website.

The Free AI Visibility Audit Checklist

Okay, ready for the checklist? Score your brand against all 16 rows, then count your red flags.

Print this, run it quarterly, and keep the scores. Your 60-day re-audit needs a baseline to beat.

Audit Area	What to Check	Pass Criteria	Common Red Flag
Prompt Library	20 to 50 prompts across 4 buyer-intent categories	Mirrors real buyer language, refreshed quarterly	Internal jargon, single-category coverage
Platform Coverage	ChatGPT, Perplexity, Gemini, Claude, AI Overviews	All five platforms tested per prompt	Single-platform audit (usually ChatGPT only)
Mention Rate	% of prompts where brand appears	20%+ on category-defining prompts	Below 10% on recommendation prompts
Position	Where brand appears in response	First or second mention in lists	Buried below 5+ competitors
Sentiment	How AI describes the brand	Neutral-to-positive across platforms	Cross-platform sentiment gap above 5x
Crawlability	robots.txt, CDN, WAF, JS rendering	AI bots can fully access core pages	JavaScript-only rendering on key pages
llms.txt	File exists at /llms.txt with canonical pages	Curated list of priority pages	No file, or sitemap dumped as llms.txt
Schema Markup	Article, FAQPage, Organization, Product	JSON-LD on all priority pages	Missing or invalid structured data
Content Freshness	dateModified within 60 to 90 days	Quarterly refresh cycle on top pages	Pages untouched 12+ months
Content Structure	Direct-answer opening, clear H2/H3, citations	Answer-first paragraphs under 50 words	Marketing fluff before the answer
Reddit Presence	Brand mentions in category-relevant subreddits	Organic mentions in 5+ threads	Zero presence in buyer subreddits
Quora Presence	Expert answers on category questions	10+ answers from credible profiles	No presence or downvoted answers
Editorial Listicles	Inclusion in “Best of” and “Top X” articles	5+ third-party listicle placements	Only self-published “best of” lists
News and Earned Media	Coverage in industry publications	3+ pieces in past 12 months	No coverage outside own blog
Review Sites	G2, Trustpilot, Capterra presence	50+ reviews with 4.0+ rating	Under 10 reviews or below 3.5 rating
Competitor Gap	Top 3 competitors scored on same criteria	You match or exceed in 2+ categories	Competitors winning every audit area

Which Tools Run a Brand AI Search Audit?

You can run every step of the checklist above by hand, for free, in an afternoon. Paid AI visibility tools exist to repeat that work weekly without you sitting there pasting prompts.

So buy one only once you’ve done the manual audit and know which prompts matter. Otherwise you’re paying to track questions you haven’t validated yet.

Why AI Search Audit Tool Prices Look Impossible to Compare

Every vendor in this category meters something different. One sells prompts, one sells credits, one sells AI responses, and one charges per seat on top.

That’s why the cheapest plan here and the priciest one can both be fair. The table below adds the column the vendors leave out: what the entry tier counts.

AI Visibility Audit Tools Compared

Tool (prices read off each vendor’s own pricing page on August 11, 2026)	Entry price and billing unit	What the entry tier meters	Engines covered at entry
Rankscale	Essentials from $20 per month, monthly toggle state; Pro $99 per month	Credits, metered fractionally per engine, with a typical query at about 0.25 credit and Claude at 2	Multiple engines, since credits are spread across them
Otterly.AI	Lite $29 per month monthly, or $25 per month billed annually	Prompts, with an add-on of 100 more prompts at $99 per month	Multiple, with Claude sold as a paid add-on
Peec AI	Starter $95 per month, monthly toggle state, 15% off annually	50 prompts, 3 models, 1 project	3 models at the Starter tier
Profound	Starter $99 per month, and the same $99 shows with billing yearly switched off	50 prompts, 100 agent credits, 1 seat	ChatGPT only at the Starter tier
Scrunch	Starter $250 per month billed annually, or $300 month to month	Seats, with each extra seat at $25 per month	Not published on the pricing page
AthenaHQ	Free Essential tier with 300 credits, then Starter $295 per month, monthly toggle state	AI responses, where 1 credit buys 1 response and Starter includes 3,600, with unlimited seats	Multiple, metered by response

The Cheapest Way to Audit AI Search Visibility

Start with AthenaHQ’s free Essential tier, which its plans page gives 300 credits, and one credit buys one AI response. That’s enough to test roughly 300 prompt-and-engine combinations before you spend anything.

Rankscale is the cheapest paid option that spreads across engines. Its pricing page publishes an Essentials tier from $20 per month, inside the comparison table rather than the headline cards. Its headline cards start at $99, so the cheap tier is easy to miss.

One trap to check before you buy. Profound’s Starter plan is $99 per month and covers ChatGPT only, per its pricing page. So a more expensive plan can audit fewer engines than a cheaper one.

What None of These Tools Do for You

Every tool here tells you whether you’re mentioned. None of them tell you why a competitor is mentioned instead.

That answer comes from Step 6 of the framework above, the off-site citation audit, and it stays manual. We run it for clients as part of our AI SEO services, and it’s still the slowest part of the job.

One entity note while you’re shopping. Semrush is now owned by Adobe, after an all-cash deal that closed on April 28, 2026. Its AI search features now sit inside Adobe’s roadmap rather than a standalone AI toolkit.

What Common Audit Findings Mean

Scored worse than you hoped? Good, that means the audit is doing its job. Three patterns show up in almost every first audit, and each one has a known fix.

Pattern 1: “We rank on Google but don’t appear in AI responses”

This is the most common finding, and it traces to your citation footprint. The overlap between top Google links and AI-cited sources dropped from 70% to below 20%, per Brandlight research cited in LLMrefs’ 2026 GEO guide.

The fix is off-site citation building: editorial listicles, Reddit threads, Quora answers, and earned media. My brand mentions vs citations guide shows how those sources feed the engines. The jury reads sources, and your Google rankings never enter the room.

Pattern 2: “We appear in ChatGPT but not Perplexity (or vice versa)”

Platform-specific gaps trace to which sources each engine trusts. Perplexity favors recent, well-structured content from authoritative sources. Microsoft Copilot leans on LinkedIn for B2B queries, and Claude prefers long-form comprehensive guides.

Work backward from the missing platform’s preferred sources. My guide on how LLMs choose which brands to recommend maps each platform’s habits.

Pattern 3: “We’re mentioned but the sentiment is wrong”

Good news: this is the easiest finding to fix, because it points at specific sources. One bad witness usually explains it: a critical Reddit thread, an outdated review cluster, or a negative press piece.

Audit which sources each platform cites, then fix the source. Sentiment typically shifts within 4 to 8 weeks once the underlying source changes.

Example: A SaaS Brand’s First Audit Findings

A typical first audit finds an 8% mention rate on recommendation prompts and strong schema coverage. It also finds zero Reddit presence, plus three competitors sitting in four-plus listicles the brand isn’t in. The fix sequence: listicle inclusion first for the fastest impact, Reddit presence second, on-site content third.

AEO vs GEO: Where Your Audit Findings Point

Every finding in this audit sorts into one of two buckets. AEO, answer engine optimization, means structuring content so AI engines can extract direct answers. GEO, generative engine optimization, means building the authority signals LLMs use when they pick which brands to name.

AEO fixes are on-site: schema, content structure, direct-answer formatting, llms.txt, and FAQ pages. They’re necessary, and they’re the easy part. I cover the full definition in my guide on what AEO is.

GEO fixes are off-site: Reddit, Quora, listicles, news coverage, review platforms, and brand search volume. They’re the heavier lift and the higher impact.

For the deeper strategic breakdown, read my comparison of AEO vs SEO and which one B2B brands should prioritize in 2026.

Key Data Point: Web Mentions Drive 10x AI Visibility

Brands in the top 25% for web mentions get 10x more AI visibility than everyone else. And the top 50 brands receive about 28.9% of all mentions in AI Overviews, per Ahrefs research. Brand mention volume is the closest thing this field has to a master variable.

Start Here: 5-Step Audit Action Checklist

Run these five steps before the end of the week. They produce a usable baseline in 6 to 10 hours of focused work.

1. Build a 30-prompt library by tomorrow. Cover category definition (8 prompts), comparison (8), recommendation (8), and use-case (6). Write them in buyer language, and skip your internal jargon.
2. Test every prompt on all five platforms. That’s ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. Log mention, position, and sentiment for your brand and top three competitors in a spreadsheet.
3. Score the technical audit in 90 minutes. Check robots.txt, CDN rules, WAF settings, JavaScript rendering, llms.txt, schema markup, and dateModified timestamps. Focus on your top 20 pages.
4. Map your off-site footprint. Count Reddit mentions, Quora answers, editorial listicles, news coverage, and review platform presence. Build the same map for your top three competitors.
5. Prioritize three fixes for the next 30 days. Pick one AEO fix, like an FAQ schema rollout, and two GEO fixes, like pitching three listicles and seeding Reddit engagement. Re-audit after 60 days.

Want it handled for you instead? Our AI SEO services run this as a managed program. And for proof of what winning looks like, see these 11 brands winning at AI search in 2026.

Frequently Asked Questions

What is an AI search visibility audit?

An AI search visibility audit measures how often your brand appears in AI responses, where it ranks, and how AI describes it. It identifies the gaps between how your brand should appear in AI recommendations and how it does today. The output is a baseline score and a prioritized fix list, which is exactly what our AI SEO services build for clients.

How often should I audit my AI search visibility?

Run a full audit quarterly and monitor your top 20 to 30 prompts weekly. Brand visibility can decline 35.9% in just five weeks without active monitoring, per Superlines research. Quarterly audits catch directional shifts, while weekly monitoring catches platform volatility; see my guide on how to track your brand’s ChatGPT citations.

What’s a good AI visibility score?

A 20% mention rate on category-defining prompts is a reasonable benchmark. For context, the top 50 brands receive about 28.9% of all mentions in AI Overviews, per Ahrefs. A mention rate below 10% signals serious gaps in content authority or off-site citations.

Which AI platforms should I include in the audit?

Include ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude at minimum. These five cover the majority of B2B AI search traffic in 2026. Each cites different sources and weights them differently, so visibility for one query can vary by up to 615x across platforms.

Do I need a paid tool to audit my AI visibility?

No, a spreadsheet, a 20 to 30 prompt library, and access to the major AI chats will do it. Paid tools like Profound, OtterlyAI, and Semrush One scale the process and add behavioral analytics. For most B2B teams manual is the right start; see my roundup of the best AEO tools for B2B marketers.

How long does an AI visibility audit take?

Plan on 6 to 10 hours for a thorough manual audit. That’s 2 hours on prompts, 3 to 4 testing platforms, and 2 to 4 analyzing technical and off-site signals. Quarterly re-audits run 3 to 5 hours once the framework exists.

What’s the most common AI visibility problem?

An invisible off-site citation footprint; brands that rely only on their own website rarely break into AI responses. Some 90% of AI citations come from earned and owned media, per multiple 2025 PR-industry analyses. LLMs weight multi-source presence heavily, so Reddit, Quora, news mentions, and editorial listicles are the citation pillars.

Run Your First Audit This Week

An AI search visibility audit is the highest-return two-day investment a B2B marketing team can make in 2026. Your first audit shows you exactly where you’re invisible, why competitors get cited, and which fixes pay off fastest.

The hardest part is committing to multi-source presence as a long-term investment. A citation footprint across Reddit, Quora, news, listicles, and review sites compounds month over month. The jury rewards brands it keeps seeing everywhere.

If you’d rather hand it off, our AI SEO services run the full four-pillar engagement. That covers prompt research, on-site content, off-site citations, and ongoing monitoring.

Either way, the jury is already deliberating. Run the audit this week and find out what it’s heard.