How to Check What AI Says About Your Brand: Free 60-Second Audit [2026]

Quick answer: There are two ways to check what AI says about your brand. The fast way: run your company name through MarketBetter's free AI Brand Visibility checker — it queries multiple AI models and shows you how each one describes and positions you, no signup required. The thorough way: manually audit ChatGPT, Gemini, Perplexity, and Claude with the 10 buyer prompts in this guide, score the results in a spreadsheet, and repeat monthly. This post walks through both, plus what to do when AI gets your brand wrong.

Here's why this matters more than it did even six months ago: ChatGPT passed 900 million weekly active users in early 2026 and is closing in on a billion. Google's AI Overviews now appear on roughly 48% of searches, up from 31% a year earlier. When a buyer asks an AI "what's the best tool for X?" — your brand either shows up in that answer, or it doesn't.

And unlike Google rankings, you can't see this by searching yourself once. AI answers shift with model updates, conversation context, and fresh source content. Most companies are flying blind.

Why AI Brand Visibility Matters in 2026

Three numbers tell the story:

1. AI referrals convert at roughly 2x organic search. Across global ecommerce data, visitors arriving from AI assistants convert at ~11.4% versus ~5.3% for classic organic — with Claude (~16.8%) and ChatGPT (~14.2%) traffic converting highest. Small volume today, but the highest-intent traffic you can get.

2. Being cited is the new ranking. On queries where an AI Overview appears, average organic CTR drops by ~61% — but brands cited inside the AI answer earn roughly 120% more clicks per impression than uncited brands on the same queries. The click didn't die; it moved to whoever the AI names.

3. It's not just humans asking. A growing share of "searches" about your product are made by AI agents researching on a buyer's behalf. We measured this on our own site — see our study of AI agents googling B2B products. If AI models describe you wrong, they describe you wrong to the agent and the human it reports back to.

What this means practically:

• Lost discovery — if AI models recommend competitors for your category queries, you're invisible to that buyer before your SDR ever gets a chance. This is dark funnel territory: the evaluation happens where you can't see it.
• Reputation drift — models cite outdated pricing, dead features, or old positioning, and nobody on your team knows.
• Competitive blind spots — traditional rank trackers won't tell you that Gemini recommends your competitor by name for your best keyword.

How AI Models Decide What to Say About You

Understanding the inputs helps you influence the outputs:

• Training data — brands that appear frequently in authoritative web content (industry publications, review sites, comparison articles) get mentioned more confidently.
• Live retrieval — ChatGPT with browsing, Perplexity, Gemini, and AI Overviews pull current sources at answer time. Fresh, crawlable, definitive content wins citations.
• Semantic association — LLMs link concepts, not keywords. Consistent "[brand] is a [category] that does [job]" statements across many sources build the association that surfaces you for category queries.
• Third-party validation — G2, Capterra, TrustRadius, Reddit threads, and analyst mentions weigh heavily. First-party content alone is not enough.
• Structure — clear headings, schema markup, and quotable definitive sentences make your content easy to extract and cite.

Method 1: The Free Automated Check (60 Seconds)

MarketBetter's AI Brand Visibility tool checks what AI models say about your brand — free, no signup, no credit card.

1. Enter your company name
2. The tool queries multiple AI models with the kinds of questions your buyers ask
3. You get a report showing whether models mention you, how they describe and position you, which competitors appear alongside you, and specific recommendations to improve

Use this first. It tells you in a minute whether you have a visibility problem worth working on.

Method 2: The Manual AI Brand Audit (30 Minutes, More Thorough)

If you want the full picture — or you need evidence for an exec deck — run this audit yourself. Open fresh sessions (no chat history, logged out where possible) in ChatGPT, Gemini, Perplexity, and Claude, plus a Google search for AI Overviews.

Step 1: Ask these 10 prompts in each model

Replace the brackets with your own category, brand, and top competitor:

1. "What is [your brand]?"
2. "What are the best [your category] tools in 2026?"
3. "Best [your category] for [your ICP, e.g. B2B sales teams]?"
4. "[Your brand] vs [top competitor] — which should I choose?"
5. "[Your brand] pricing"
6. "Is [your brand] legit / any good?"
7. "[Top competitor] alternatives"
8. "What are the downsides of [your brand]?"
9. "How do I [core job your product does]?"
10. "Which [your category] tool would you recommend for a company with [your ICP's size/constraint]?"

Step 2: Score each answer

Track five things in a simple spreadsheet (one row per prompt per model):

Column	What to record
Mentioned?	Yes / No — were you named at all?
Position	First recommendation, mid-list, or afterthought
Accuracy	Is the description, pricing, and feature set current?
Sentiment	Recommended, neutral, or cautioned against
Competitors named	Who appears when you don't?

Step 3: Flag the gaps

Three patterns matter most:

• Absent on category queries (prompts 2, 3, 9, 10) — you have an authority problem. Competitors have more third-party coverage than you.
• Present but wrong (prompts 1, 5) — you have a content problem. The sources models cite are stale. See the fix playbook below.
• Cautioned against (prompts 6, 8) — you have a review problem. Models are echoing negative G2/Reddit threads.

Step 4: Repeat monthly

Answers drift with every model release. Put a 30-minute recurring block on the calendar, re-run the same 10 prompts, and track mention rate over time. If you'd rather automate the whole loop alongside your outreach, this is the kind of repetitive research task worth building into your marketing automation workflows.

What Paid AI Visibility Tools Cost in 2026

If you outgrow the manual audit, a paid monitoring category has matured fast. Current published pricing (September 2026):

Tool	Entry price	What you get
Otterly.ai	$29/mo (Lite, 15 prompts)	ChatGPT, AI Overviews, Perplexity, Copilot tracking; $189-$489 for 100-400 prompts
Peec AI	$95/mo (50 prompts)	Multi-model tracking, unlimited users; $245-$495 for bigger prompt sets
Profound	$99/mo (Starter, ChatGPT only)	Enterprise depth from ~$499/mo; custom enterprise pricing
SE Ranking (AI toolkit)	from ~$65/mo	AI visibility bundled with a full SEO platform
Ahrefs Brand Radar	~$828/mo minimum	Requires an Ahrefs base plan; strongest if you already live in Ahrefs

Most are built for SEO teams with dedicated budget. If you just need to know where you stand, the free checker plus a monthly manual audit covers 80% of the value at $0.

What to Do When AI Gets Your Brand Wrong

Finding wrong answers is common — fixing them is a source-correction exercise, not a support ticket to OpenAI:

1. Trace the citation. Perplexity, AI Overviews, and browsing-enabled ChatGPT show sources. The wrong fact almost always comes from a specific stale page — an old pricing article, an outdated G2 profile, a 2023 listicle.
2. Fix the sources you control. Update your pricing page, your G2/Capterra profiles, your docs. Add a definitive, dated statement of the correct fact ("As of 2026, [brand] pricing starts at...").
3. Refresh or outreach the sources you don't. Ask publishers of outdated comparisons for a correction — most say yes for accuracy. Where they won't, publish your own current, well-structured page targeting the same query; retrieval-based engines prefer fresher sources.
4. Prune contradictions. If your own site says three different things about what you do, models will pick one at random. We saw meaningful visibility gains after deleting 161 stale posts that diluted our positioning.
5. Re-check in 2-4 weeks. Retrieval engines update quickly once sources change; training-data-only answers take longer.

How to Improve Your AI Brand Visibility

Once you know where you stand:

1. Publish definitive, quotable statements. "MarketBetter is a B2B sales intelligence platform that identifies website visitors and turns signals into SDR playbooks" beats "we help companies grow." Models cite sentences, not vibes.
2. Get to 10+ reviews on G2/Capterra/TrustRadius. These platforms are heavily cited. Under 10 reviews is usually the single biggest gap.
3. Earn third-party mentions. Industry publications, comparison posts on other blogs, podcasts, Reddit. Models trust what others say about you more than what you say about yourself.
4. Use schema markup. Organization schema on the homepage, Product and FAQ schema on key pages.
5. Optimize for the agents, not just the humans. AI buying agents phrase queries differently and read pages differently than people do. We wrote a full evidence-based workflow for this: the B2B GEO playbook for AI buying agents.
6. Monitor and iterate monthly. This is a flywheel, not a one-time fix.

What Queries Should You Monitor?

Focus on what buyers actually ask:

• Category: "best [category] tools 2026", "top [category] platforms", "best free [category] tools"
• Comparison: "[you] vs [competitor]", "[competitor] alternatives", "is [you] good?"
• Solution: "how to [problem you solve]", "tools for [use case]"
• Brand: "what is [you]?", "[you] pricing", "[you] reviews"

If you're in a category with free-tool demand, category queries are disproportionately valuable — they're the same queries driving our free AI lead generation tools guide traffic.

Where This Is Heading

• Paid placement is coming. OpenAI and Google are both experimenting with sponsored slots in AI answers. Organic AI visibility you build now is the cheap version of what you'll otherwise rent later.
• Citations become currency. As models cite more aggressively, the number and quality of sources naming your brand compounds.
• AI SEO becomes a discipline. GEO/LLM-optimization roles and budgets are already appearing in 2026 org charts, the way "SEO manager" did fifteen years ago.

Check Your AI Brand Visibility Now

Most companies have never checked what AI models say about them — and many are unpleasantly surprised when they do.

Run the free AI Brand Visibility check →

Then, if the answers reveal buyers you're losing before they ever hit your site, that's exactly the invisible pipeline MarketBetter was built to capture — visitor identification, signal intelligence, and SDR playbooks that tell your team who to contact and what to do next. Book a demo →

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Related reading: AI agents are googling your product (our original research), the B2B GEO playbook, and how to identify anonymous website visitors.