AI Visibility Audit

The Best AI Visibility Audit Built on Your Buyer Personas and the Most Advanced Prompts

Gumshoe asks the AI models who your buyers are, builds those personas, sends them into ChatGPT, Claude, Gemini, Perplexity, and more, then tracks how often you show up in the answers. You control the models, personas, prompts, and competitor set.

Head to Head Comparison

How the Gumshoe Visibility Audit Compares to Others

Every Gumshoe Visibility Audit Includes

• Personas: see how often your brand shows up in AI chats using synthetic users
• Competitors: a ranked leaderboard of who AI names instead, with movement since the last run
• Citations: which websites are influencing AI answers about your category
• More LLM coverage and deep customization

Your visibility score, and the share of AI answers you appear in.Who AI recommends instead of you, ranked.

Here is what makes it the best

Every audit starts with one product category

You pick your brand and one product category, and that narrow scope is deliberate. Buyers ask specific questions and models answer specific questions best, so a focused audit gives you a truer read of where you stand than a survey of everything you sell.

Gumshoe is built on personas

Gumshoe builds the buyers for that category and runs the audit through them, which is a different starting point from the flat prompt lists most tools begin with. It is also the reason every number on the report breaks out by who was asking, which is the cut that tells you where to act. How the personas are built.

Better personas write better prompts

The prompts come from what those buyers would ask, written as full sentences a person would type into a chat window. Better questions going in are what make the answers worth acting on. How the prompts are written.

You control all of it, and we run it

Choose the models and the specific versions, edit the personas, rewrite the prompts, set the topics, pick the competitors on the leaderboard, and shape what the report shows. Gumshoe then runs the whole thing on that configuration every month, so setup stays a one-time job rather than a monthly one.

How the Visibility Audit Works

Gumshoe runs on the official model APIs, with personas asking the questions and the models answering them directly.

You set the focus

Pick your brand and the product category the audit should cover. Focus is what makes the read accurate.

AI names your buyers

Gumshoe asks the major models who they think buys in that category. Review, edit, or add your own personas.

Those buyers go shopping

Each persona becomes a synthetic user holding real conversations with ChatGPT, Claude, Gemini, and Perplexity.

You get the score, and the reasons

Visibility by persona, topic, model, and competitor, with the word-for-word answers and cited sources behind it.

One audit

Four reads that only a full audit gives you

• Which buyers already find you: Visibility broken out by buyer persona, so you know which buyers AI sends your way and which ones it sends to a competitor.
• Where you rank against rivals: A competitive leaderboard with visibility scores, mentions, and momentum against the last run, against the competitors you chose.
• Which topics you own, and which you do not: Topic-level visibility showing where AI reliably connects your brand to a need, and where it does not.
• Whether the work is moving the number: Run on a schedule and track visibility month over month, by model family and by persona, so you can show what moved at the end of every reporting cycle.

Built to survive contact with a budget

• One fixed price per project: $99 per project, per month. No credit meter, no per-seat math, no mid-cycle add-ons.
• Every model on every plan: Nothing sits behind a higher tier, so you get the full lineup.
• Both cadences included: The deep monthly run and the Snapshot between them, on one subscription.
• Built for monthly reporting: The full audit lands on the cycle your team already reports on.

Starter Plan

Starting at $99 a month

Persona-level AI visibility tracking, rerun every month with a weekly Snapshot in between.

One price, per project, with no annual commitment.

Questions about the Visibility Audit

How is this different from asking ChatGPT about my brand myself?

A single anonymous chat shows you one answer to one question. A Visibility Audit runs hundreds of conversations across multiple models and buyer personas, so you see the full range of answers your actual buyers get, quantified and tracked over time.

What is the difference between the Snapshot Audit and the full Visibility Audit?

The Visibility Audit is the deep monthly run: 8 personas, 10 prompts each, 6 models, with every answer readable word for word. The Snapshot Audit is a smaller run in between, on 4 personas, 5 prompts, and 4 models. The Snapshot tells you something moved. The full audit tells you what happened and to whom.

How much can I control?

You control all of it: which models and which versions within them, whether to edit or replace the personas, how the prompts are written, which topics get covered, and which competitors appear on the leaderboard. Configure it once and Gumshoe reruns it on the same setup every month, so the numbers stay comparable from one run to the next.

Which AI models are covered?

The major models, including ChatGPT, Claude, Gemini, and Perplexity. Six models are covered at $99 a month, and none of them sit behind a higher plan.

What does $99 get me?

A monthly Visibility Audit across 8 personas, 10 prompts each, and 6 models, plus a weekly Snapshot Audit in between. That is roughly 480 buyer conversations a month you can read word for word. See the full pricing table.

Is the price per account or per project?

Per project. One brand needing one monthly audit is one subscription. Separate audits for three product areas is three. Nothing is pooled and nothing is metered, so adding a project is one predictable line item.