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Mustafa Aydemir
Mustafa Aydemir

Posted on Fully Autonomous

Does AI Recommend Your Brand? 5 Tools to Find Out

You can check whether AI recommends your brand by tracking the questions your customers might ask, then reading the answers behind the numbers. Asking ChatGPT about your company once gives you one answer. It doesn't tell you how often you appear when someone asks for an alternative, a cheaper option, or a tool for a specific job.

AI visibility tools make those checks repeatable. The useful ones help you get from a chart to the question, response, and cited source behind it.

These five options suit different budgets and workflows. This is a comparison of their published capabilities and current plans, checked on October 16, 2026, rather than a hands-on performance benchmark. I'm a co-founder of Screpy, which is included below.

What counts as an AI recommendation?

A brand name appearing in an answer is only the starting point. For this comparison, I'd separate three outcomes:

Illustrative answer What it tells you
“Brand A also sells monitoring software.” A mention. It says you exist.
An answer links to your pricing page. A citation. Your page was referenced.
“For this budget and use case, choose Brand A.” A recommendation tied to a buyer's needs.

A response can contain more than one of these. It can also mention your brand while recommending a competitor.

Don't assume a visibility percentage or positive sentiment score proves the third outcome. Open the saved response and read the surrounding sentence. Also check whether the price, feature, or limitation it describes is actually correct. A confident recommendation based on outdated information still needs attention.

Five AI visibility tools at a glance

These are the relevant entry conditions for the plans discussed below. The prices use different billing periods, so the annual figure is an upfront commitment, not a monthly subscription.

Tool Price / billing Included monitoring sample Main purchase check
Screpy Max $456/year regular annual price 50 AI prompts per project Pro doesn't include AI Visibility
OtterlyAI Lite $29/month, monthly billing 15 prompts, four core engines Extra engines cost more
Peec AI Starter $95/month, monthly billing 50 prompts, three chosen models, one project Check the models and market you need
Promptwatch Essential $95/month, monthly billing 50 prompts, four models, 6,000 responses Agent credits and responses are separate allowances
Profound, for brands Free seven-day trial; ongoing Enterprise pricing is custom 50 prompts daily during the trial Trial prompts aren't customizable

Official plan links and the relevant limitations are in each section. This isn't a ranking by accuracy: published allowances can't establish that.

1. Screpy: AI visibility alongside technical SEO

Screpy official homepage social preview

Screpy's AI Visibility is worth considering if you're also responsible for technical SEO and keyword tracking. You can investigate brand appearances alongside the wider SEO work instead of buying a separate product for every question.

Choose your prompts, country, language, and supported platforms. Then inspect the saved responses, competitor mentions, and cited pages. One detail matters: the recorded position is the order of detected tracked brands in the answer. It isn't a Google ranking or proof that the assistant recommended you first.

You can also use Screpy MCP to investigate stored AI Visibility evidence from an assistant. It doesn't search every AI conversation, bypass plan eligibility, or automatically fix your website.

On the current pricing page, Max includes 50 AI Visibility prompts per project and 15 projects, alongside technical SEO and rank tracking. Its regular annual price is $456, billed yearly. Pro doesn't include AI Visibility.

The page currently displays a $319 annual welcome price under its 30% offer. That offer has a 72-hour window; the discount continues on renewals while the subscription stays active. The seven-day trial converts to a paid subscription unless cancelled. Check the applicable offer and billing choice before subscribing.

I'd shortlist it when the same person needs to investigate AI answers and maintain the site's SEO. If you only need a tiny prompt sample, compare that bundled scope against a smaller dedicated monitoring plan.

2. OtterlyAI: a small daily monitoring setup

OtterlyAI official homepage social preview

OtterlyAI Lite costs $29 per month on monthly billing and includes 15 search prompts with daily tracking. The four core engines are ChatGPT, Google AI Overviews, Perplexity, and Microsoft Copilot. Claude, Google AI Mode, and Gemini are extra add-ons.

Lite also includes citation analysis, brand reports, and one workspace. API and MCP access appear on Standard, currently $189 per month, rather than on Lite.

That makes Lite a sensible shortlist option when you've already narrowed your questions and want a small recurring baseline. For example, you could focus on one product's main buying scenarios instead of trying to monitor every topic around your business.

The constraint is the 15-question budget. If different markets, languages, or products need separate prompts, write those out before choosing the plan. Also price the engines you actually need. A low entry price is useful only if the included coverage matches the questions you're trying to answer.

3. Peec AI: shared tracking for a marketing team

Peec AI official homepage social preview

Peec AI Starter currently displays $95 per month on monthly billing. It includes 50 prompts, three chosen models, daily tracking, one project, and unlimited users. Additional models are offered separately.

Its reporting covers visibility, position, sentiment, and share of voice, with source analytics to investigate cited domains and URLs. Prompt suggestions can help you expand the questions you're tracking.

The team allowance is relevant if a founder, content marketer, and SEO specialist all need access to the same brand's results. You can discuss a question together instead of passing around an isolated percentage.

Before subscribing, confirm the three models you want and the country coverage of the selected tier. Starter's comparison column lists one country. Don't assume a feature shown somewhere in the full product catalogue is included in that entry plan.

I'd consider Peec when the immediate job is shared monitoring and source analysis for one brand. Keep suggested prompts subject to review: a question can be relevant to your category without being a question your buyers would actually ask.

4. Promptwatch: monitoring with API and MCP access

Promptwatch official homepage social preview

Promptwatch Essential is $95 per month on monthly billing. The plan includes one project, 50 prompts, four tracked models, 6,000 responses, country-level tracking, and API and MCP access.

That access matters if you want monitoring data inside a workflow you already use. For a developer, the purchase question becomes: can the supported interface provide the evidence needed for your report or assistant, without exporting and reformatting everything manually? Check the actual operations before building around it.

Essential also includes 500 agent credits per month and Agent Chat. Those credits are a separate allowance from tracked responses. The plan lists no AEO articles, so don't buy it expecting the higher tiers' article allowance.

This is the option I'd investigate when programmatic access is an entry requirement. Still check which four models your setup includes. A long platform list on a homepage isn't the same thing as having every model in your subscription, and an API connection doesn't make a sampled response representative of every customer conversation.

5. Profound: a trial before an enterprise rollout

Profound official homepage social preview

Profound's current offering for brands pairs a free seven-day trial with a custom-priced Enterprise plan for ongoing use.

The trial runs 50 prompts daily across ChatGPT, Gemini, and Google AI Overviews. Here's the important restriction: those prompts are recommended based on your industry, and trial users can't customize them. The trial also lists one region and one language, with no history, exports, or API access.

Enterprise adds ongoing daily monitoring, customizable prompts, and tailored coverage across up to nine answer engines. Pricing requires a conversation about the package.

I'd put it on the shortlist when you're evaluating a wider organizational rollout and can work through procurement. The trial can show how Profound frames your category, but it can't serve as an exact comparison against another tool running your own custom question set.

Ask for a demonstration using the questions and markets you care about before treating an enterprise proposal as a fit. Also separate a free trial from a sustainable monitoring budget: seven days of access doesn't establish the cost of the ongoing program.

How to choose without chasing a score

Start with a buying question that doesn't contain your brand name. For a fictional uptime product, that could be: “Which uptime monitoring tool suits a solo developer managing three client sites?” Add the actual constraints your customers care about, such as budget, alerts, or team access.

During an evaluation:

  1. Keep the question wording, market, language, and platform consistent wherever the tools allow it. Record differences where they don't.
  2. Open the responses. Check whether your brand was recommended, merely mentioned, cited, or missing. Keep the date and source URLs with that answer.
  3. Separate unavailable or failed checks from answers that genuinely omit your brand. Changing the sample can also change the percentage.
  4. Compare the recurring bill for the coverage you'll use, including extra engines and the commitment required by annual billing.

These tools can help you answer “Does AI recommend us for this job, in these collected answers?” They can't turn that into a claim about every person asking an assistant.

Choose the one that lets you investigate a meaningful question at a cost you can maintain. A score becomes useful when you can explain the answer behind it.

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