Platforms Similar to a Brand Visibility Dashboard for ChatGPT, Gemini and Claude: A Dated Vendor Matrix

Platforms similar to a brand visibility dashboard for ChatGPT, Gemini and Claude share one job: they run a set of questions in AI answer engines and show whether your brand was named, which links were displayed and how that changes. They differ in who they are built for, which engines each plan covers, what it costs, whether a free route exists and whether they help write the fix.

This guide compares five vendors plus Prime AI Visibility on public vendor pages read on October 24, 2026. It lists no winner. Prime AI Visibility publishes this site and competes with the others, so it appears in the matrix on the same terms and is marked as affiliated.

Platforms similar to a brand visibility dashboard for ChatGPT, Gemini and Claude: the short answer

1. Decide the audience first. Some platforms are priced and sold for enterprise teams, some for SEO managers, some for founders and small teams.
2. Check the engines on the plan you would buy. A vendor can name many engines on one page and cover fewer on a lower plan.
3. Count prompts against your questions. A plan that tracks 15 prompts will not hold 40 buyer questions.
4. Ask what the free route really shows. A trial that fixes the prompts tests the vendor's guess at your market, not your buyers' wording.
5. Mark what you cannot find. Where a vendor's public page does not state a field, this guide writes Not verified. Ask the vendor before assuming.

How was the matrix built?

Each cell comes from the vendor's own public pricing or product page, read on October 24, 2026, except where a cell carries its own date. Prices are monthly list prices in US dollars where a vendor publishes one. A cell reads Not verified when the page did not state it, and no figure was filled in from memory, from another site or from a third-party review.

The matrix records what vendors say about themselves. It contains no test results, scores or rank, and a listed engine does not show how well a vendor captures it. Google's guidance on helpful content asks whether content is created for people, shows first-hand experience and gives readers a satisfying answer. This page uses that standard for its own comparison.

Which platforms are comparable, and who are they for?

Platform	Audience as stated	Entry plan as read
Profound	Companies, with a Free Trial and a custom Enterprise package	Trial: free; Enterprise: custom
Cognizo	Brands and agencies	Growth: $499 a month
Peec AI	SEO and content managers, marketing teams and agencies	Starter: 50 prompts, price Not verified
Rankscale	Businesses and teams needing dashboards and API access	Pro: $99 a month
OtterlyAI	Not verified	Lite: $29 a month (read October 23)
Prime AI Visibility (affiliated)	Marketers and founders starting with five buyer questions	Free check; Starter at $69 a month

Which AI engines does each plan cover?

Platform	Engines named on the vendor page	Plan limit stated
Profound	Trial: ChatGPT, Gemini and Google AI Overviews; Enterprise: up to nine answer engines	Trial: 50 prompts a day for 7 days
Cognizo	Five platforms on Growth and Pro, names Not verified	Growth: 150 prompts; Pro: 350
Peec AI	A model list that includes Gemini, Claude, Perplexity and ChatGPT-family models	Starter and Pro: three models chosen
Rankscale	ChatGPT, Perplexity, Google AI Mode, AI Overviews, Gemini, DeepSeek, Mistral, Claude, Copilot	Pro: 1,200 credits, up to 4,800 answers
OtterlyAI	Four engines on Lite	Lite: 15 prompts
Prime AI Visibility	ChatGPT, Claude, Perplexity free; plus Gemini and an AI Overview-style preview on Starter	Free: 5 questions, up to 15 answers

For Claude specifically, Peec AI and Rankscale name it on their pages, and Prime AI Visibility includes it in the free check. Cognizo's and OtterlyAI's engine names for these plans are Not verified.

What about price, free access and content workflow?

Platform	Free route	Content workflow stated
Profound	Free Trial plan; 50 prompts a day for 7 days	AI Marketer credits and agents named
Cognizo	None listed; every plan says Book a demo	Content agent with auto-publishing, 8 articles a month on Growth
Peec AI	Not verified	Not verified
Rankscale	7-day free trial on Pro	Page audits for any URL included; writing workflow Not verified
OtterlyAI	Free trial per its FAQ (read October 23)	Not verified
Prime AI Visibility	Free check, no card, one check a month	Content Studio drafts pages you review and approve

Peec's Pro plan lists 150 prompts and two projects, and its page lists Looker Studio integration on a higher plan and custom CSV exports. Rankscale lists Looker Studio dashboards on Pro and REST API access on Pro+. Cognizo's Pro plan at $999 a month lists 350 prompts and 20 articles a month. Historical reports and citation evidence are not stated in comparable terms on these pages, so those two fields are Not verified for every vendor except Prime AI Visibility, which saves each answer with the links it displayed.

How do you separate a mention from a citation in any dashboard?

Whatever you choose, read the saved answer and log four things separately:

1. Mention. The answer names your brand.
2. Citation. The answer links to a page on your website.
3. Recommendation. The answer clearly suggests your brand for the situation in the question.
4. Referral and conversion. These come from your own analytics, not from the answer.

The Prime AI Visibility features page describes the same separation: Brand named, Website cited, an explicit recommendation and multi-model tracking are different measures. A dashboard that blends them into one score hides the difference between being named and being linked.

What decision rubric helps you pick?

Score each candidate yes, no or Not verified against the same six questions, and ask the vendor about every Not verified.

Question	Why it matters
Can you enter your own questions?	A fixed set tests the vendor's market guess
Does the plan you would buy cover your engines?	Engine lists differ by plan
Are full earlier answers kept?	You can reread what was displayed
Are named brands and linked pages kept apart?	Absence and citation gaps need different fixes
Can you export the saved answers?	You can add your own columns
Is there a free or monthly route?	You can stop if it does not fit

How do you test two platforms fairly in a week?

1. Write five buyer questions from real sales and support conversations and freeze the wording.
2. Run the same five questions on each platform, on the engines they share.
3. Save every answer and log named, cited and recommended on separate lines.
4. Compare the logs, not the dashboard scores, and note any question one platform could not run.
5. Rerun the same questions after a few days and see whether the saved answers agree.

Differences between two platforms on this test may come from how each captures answers, not from your brand, so treat a disagreement as something to inspect, not as a verdict.

What should you do after you pick one?

Start with the pages, not the dashboard. The AI visibility audit process and the AI visibility strategy guide turn the saved answers into an order of work, and the buyer guide to choosing tools lists fixed criteria for the buying decision. For hands-on implementation, Percepture, a company connected to Prime AI Visibility, covers AI visibility tools and the work that follows measurement. Its generative engine optimization services are the hands-on route. It is a services firm, not a tracker, so it pairs with one.

What can a public category site teach about dashboards?

My Military Savings is a public site in a different industry, so it works as a neutral example of format. Its homepage describes itself as a resource for military savings and discounts, and its coupons page groups coupons under category filters such as food and pet.

This is an illustrative public website, not a Prime AI client, endorsement or paid relationship, and it says nothing about how any AI engine treats it. The lesson is about categories. A business with clear category pages can write its tracking questions by category and compare saved answers category by category, whichever dashboard it uses.

Where does Prime AI Visibility fit?

Prime AI Visibility is an AI Search Visibility Platform built around saved answers. The free check runs up to five buyer questions across ChatGPT, Claude and Perplexity, saves up to 15 answers with the links each one displayed and needs no card. It is one check a month, so it is a baseline. Starter is $69 a month and adds Gemini and an AI Overview-style preview. It does not report sentiment, crawler visits or traffic, and it has no managed service.

Used as an AI visibility checker, the free check gives a first read. As an AI visibility tracker, it keeps the same questions for rechecks. A team weighing an AI Visibility Platform against a spreadsheet can use the saved answers as shared evidence, and any AI Brand Visibility Tool should be judged on whether its records hold up when you reread them. Because Prime AI Visibility is the publisher, treat this section as an affiliated recommendation.