BrandPeek Review (2026): $25 Credits, Six Engines Including Claude, and What Nobody Has Checked

01What BrandPeek is, and who makes it

BrandPeek is a credit-metered AI visibility tracker. You add a brand, an AI wizard reads your site and proposes a category, competitors, topics and queries, you pick the AI models and a schedule, and it runs the queries and records whether you and up to five competitors are mentioned, in what sentiment, and with what citations, by country, region or city. The features page read on 4 September 2026 lists six providers on paid plans, ChatGPT, Claude, Gemini, Perplexity, DeepSeek and Google AI Overviews, each “web search enabled”, and says it pins “the latest cost-efficient model for each provider” so you “never have to chase version numbers”.

Two content tools ride along. The AI Overview Optimizer takes a keyword, extracts the Google AI Overview and up to 12 cited sources, scrapes them, scores your page against them on experience, expertise, authority and trust from 0 to 100, produces P1, P2 and P3 recommendations, and on paid plans applies the chosen strategies to your content with version control. The AI Fact Sheet Generator writes a structured markdown brand sheet meant for AI crawlers, with publishing guidance. There is also a public Brand Rankings page built from “1200+ AI queries” refreshed weekly.

The maker is worth a paragraph because nothing else about the company is written down anywhere. The footer reads “BrandPeek by ADE Marketing Solutions Sdn Bhd”, a Malaysian company. The About page names the founder as Adam Yong, a software engineer of twenty years who built Agility Writer, an SEO article writer, and who says BrandPeek started when his own well-ranked brand was rarely mentioned when buyers asked AI for “the best content creation tools”. The agency’s own site describes BrandPeek as “the measurement layer behind every GEO engagement” and lists a Malaysian phone number. This is a small studio product sold to the world, which is neither a criticism nor a recommendation. It is context for the numbers below.

02BrandPeek pricing in September 2026, read on the day

We fetched brandpeek.ai/pricing and the homepage on 4 September 2026 through the free fetcher. The two pages print the same four plans and disagree on one detail, which the table notes. A banner on every page offered 30 percent off all plans with a code as a limited-time offer; we quote list prices.

Three things to know before the arithmetic. Unused monthly credits reset each cycle. All paid plans support multiple brands, with the number you can “effectively monitor” set by credits rather than a project cap. And the pricing FAQ says that when you cancel, “all your data will be permanently deleted”, so export before you leave.

03Credits, priced out by BrandPeek's own formula

BrandPeek is the only vendor in this series whose help centre publishes the exact metering formula, so we can do the arithmetic rather than guess. From the ChatGPT tracking guide: “The cost is the (Total Number of Queries) multiplied by the (Sum of Credit Costs of all selected AI Models). Example: If you have 10 queries and you selected [a smaller OpenAI model] (1 credit) and another model (2 credits), the calculation is 10 * (1 + 2) = 30 credits per cycle.” Query counts per topic are 3, 5, 8 or 10; schedules are daily, weekly or off. Assuming 1 credit per model, which is the floor, here is what the plans actually buy.

Read the table and the headline changes. The $25 plan is a weekly plan for a small prompt set on two engines. Daily monitoring of a real prompt set on the full engine list is the $350 plan, which is more than Peec at $80 annual for 50 prompts on three models daily, more than SE Visible at $79 annual for 200 prompts on five engines daily, and in the range of Scrunch’s $250 Core. BrandPeek’s advantage is at the bottom: nobody else gives you Claude and DeepSeek for $25, or ongoing monitoring for $0.

04What BrandPeek does well, on the evidence of its own pages

Everything in this section is from the vendor, because there is no one else. We have read it as a buyer would and marked what is checkable.

A free plan that keeps running. Most free tiers in this category are a one-time check. BrandPeek’s 25 credits a month renew, which is enough for a handful of queries on two engines once a month, by hand. A roundup of free AI Overviews trackers published this week singled that out: “one of the few that offers ongoing monitoring, not just a one-time check”. Checkable: sign up, no card.

Six engines including Claude and DeepSeek at $25. Semrush has no Claude at $99, HubSpot has three engines at $50, SE Visible lists Claude as coming soon, Otterly charges $29 a month extra for Claude on its cheapest plan. BrandPeek lists both on Starter. Checkable in the model picker.

Location down to city. Country, region and city targeting on every plan including free, which matters for local businesses and for anyone who has noticed that the same prompt returns different brands in different markets. Checkable in setup.

A published metering formula. Credits are opaque at most vendors; BrandPeek’s help article prints the multiplication and shows the cost per cycle and a monthly estimate before you launch. That is better disclosure than Rankscale, whose per-engine credit costs we had to reconstruct.

Sources behind the AI Overview, scored. The Optimizer pulls up to 12 cited sources for a keyword, scrapes them, compares your page and scores it. Whether the 0 to 100 experience, expertise, authority and trust score means anything is untested; that it shows you the cited pages side by side with yours is the right idea, and it is the same idea our own gap report is built on.

Query design by funnel stage. Topics carry a question type, bottom-of-funnel or brand reputation among them, and the wizard generates queries per topic that you edit before anything runs. That is more control over the prompt set than HubSpot’s $50 plan gives you, per HubSpot’s own users.

05Where BrandPeek falls short

Nobody has checked it. Covered in full in the next section. For a tool you would put a client’s reporting on, the absence of any independent review is the first fact, not a footnote.

The homepage numbers are undefined. “572+ competitors tracked. 89% detection rate. 93% success rate. 10+ industries served.” Detection of what, success at what, measured how, over what period: none of it is on the page. The two testimonials are attributed to a “Content Marketing Manager, B2B SaaS” and a “Digital Agency Owner”, one claiming a 40 percent AI Overview ranking improvement in 30 days, with no company named. A social-proof widget announces sign-ups by city. These are conversion tactics, not evidence, and the site would be stronger without them.

The engine count depends which page you read. Six on the features page, “10+ other AI models” on the homepage, “14+” on the parent agency’s page. The six are specific and we believe them; the larger numbers are either older copy or counting model versions.

Daily monitoring is expensive. The credit formula multiplies queries by engines by cadence, and the honest reading of the tiers is that the product most competitors sell for $99 costs $350 here. The low entry price is real; the low price for a real programme is not.

Coming soon, at the top tier. API access and white-label reporting are marked coming soon on the $350 plan, the plan sold “for enterprises and agencies”. Sentiment shift warnings and ranking change notifications are also coming soon per the features page. An agency buying Scale for white label today is buying a promise.

A quiet help centre and broken links. Three help articles, dated 12 months and about a year ago. The changelog and terms of service links in the footer returned 404 on the day. A product that says the AI landscape changes daily should show a changelog that does.

Delete on cancel. “When you cancel your subscription, all your data will be permanently deleted.” Every other vendor in this series keeps a record or offers export on exit; here you must export first.

It rewrites your page; it does not draft against the evidence. The Optimizer’s auto-apply step lets an AI edit your content toward the recommendations. That is generation, and the question that matters is what it is allowed to say. Nothing on the pages says the rewrite is constrained to claims the cited sources support, and nothing re-runs the prompt afterward to show whether the change moved the answer.

06The review base: there is none

We looked in every place this series looks. G2, Capterra and Trustpilot have no BrandPeek listing; the only Trustpilot score attached to the founder is Agility Writer’s 4.7 on 33 reviews, a different product. A Reddit search for the brand name across the past year returned zero posts, which is the first time in eleven reviews that has happened; even AthenaHQ and Rankscale had a thread or two. The Google results for “brandpeek review” are the vendor’s own pages, its parent agency, a YouTube channel, a LinkedIn post, and roundups that list it in a table: Omnia’s free-trackers piece, which praises the ongoing free plan; RankPrompt’s ChatGPT-integration list, which credits it with an API the pricing page does not have yet; Elmo’s alternatives page, which is a pitch for an open-source tool. Brandlight and BrandJet, two vendors, list it in their own best-of posts.

Our own Search Console explains why the query exists at all: 56 impressions in the last three months for “brandpeek review ai visibility tool”, landing at position 25 on our AI brand monitoring roundup, a page that does not mention BrandPeek. Google is matching the intent to the nearest review it can find, and finding nothing specific. This page is the first.

What that means for a buyer is simple. Every quote in this review is the vendor’s. The pricing, the credit formula and the engine list are verifiable on the free plan in an afternoon. The detection rate, the success rate, the testimonials and the auto-optimizer’s effect are not verifiable by anyone outside the company, and no one outside the company has published an attempt. If you try it, publish what you find; the category needs it.

07The accuracy question, and the homepage numbers

BrandPeek runs your queries through six providers with web search on, on a schedule you set, and stores the answers, which is how every tracker in this series works. The accuracy question is therefore the same one: how many queries, how many runs, how stable is the answer between runs. BrandPeek’s wizard generates 3 to 10 queries per topic and recommends 3 to 5 topics, so a typical setup is 10 to 50 queries, run once per cycle per model. At the $25 tier that cycle is weekly. A weekly sample of one per query per model is a trend line with a wide error bar, and it is the same at every vendor’s entry tier.

What is not the same is the homepage. “89% detection rate” could mean the share of queries where any brand was detected, the share where the tracked brand was found, or the share of mentions the parser caught; each would be a different and interesting number, and the page does not say. “93% success rate” is undefined. Until BrandPeek publishes what these measure, treat them as decoration. The help article, by contrast, is careful: it cites a study finding ChatGPT names no brand at all in 43.4 percent of relevant queries and mentions brands about 3.2 times per clickable citation, and it tells you to use incognito and a VPN when checking by hand. The company can write about measurement honestly. The homepage does not.

08API and MCP, checked against the pricing page

API access is marked “coming soon” on the Scale plan on both the pricing page and the homepage as read on 4 September 2026. No plan below Scale mentions an API at all. MCP does not appear anywhere on the site. RankPrompt’s roundup lists “simple exports and API for reporting” among BrandPeek’s features; the vendor’s own page says otherwise, and we go with the vendor. Export today is CSV and, for fact sheets, clipboard or text file.

For comparison, every Linkeddit capability, including the fix draft and the re-measurement, is an MCP tool over one URL on the $99 plan; the connector page lists them. If pulling AI visibility data into Claude or Cursor is the job, BrandPeek is not a candidate yet.

09What BrandPeek measures, and what no tracker can

BrandPeek measures your own generated or edited queries on the engines you pick, at the cadence you pay for, by location. Its score is comparable with itself over time and with no other vendor’s, like every tracker. It has no clickstream-derived index; its public Brand Rankings page is built from 1,200 or so weekly queries across categories, which is a sample, not a market view. Where it reaches further than a tracker is the Optimizer, which is a content tool wearing a tracker’s badge.

Three things no tracker can see. How many people asked: BrandPeek does not estimate. Whether an answer sent a visit: it distinguishes mentions from citations, which its own help article explains well, and a referrer is still a floor. Why the engine chose a source: the Optimizer shows the cited pages and scores them; the reason is a hypothesis. We have written up the same limits for our own product in AI citation tracking.

One test we run on every vendor we review: is the vendor’s own domain in the answers about its own category? Across 220 completed answers in our Answer Radar runs, which include prompts about AI visibility tools, brandpeek.ai was cited zero times by any engine. That puts it with Peec, Scrunch, Rankscale and AthenaHQ at zero, against Profound and Otterly at three and HubSpot at 18. For a tool whose pitch is that AI recommends your competitors while you are absent, its own absence is the point made.

10BrandPeek vs Linkeddit Answer Radar

We sell a product in this category, so read this as a vendor’s comparison and check both pricing pages. The short version: BrandPeek is the cheapest way to watch six engines including Claude occasionally, with a free plan that never expires and a content optimizer bundled in, from a vendor nobody has reviewed. Answer Radar is your prompts on four engines including Claude daily at a fixed $99, with MCP on every tool, and it finishes the job with a fix built only from the recorded evidence and a re-measurement, with weekly competitor intelligence included.

Try BrandPeek if you want to see six engines including Claude and DeepSeek for nothing, if a monthly or weekly check on a small prompt set is enough for now, if city-level tracking matters to you, or if you want to test whether an AI Overview page rewrite moves anything, and you are willing to publish what you find.

Pick Answer Radar if you want your own buyers’ prompts on four engines including Claude daily at a fixed $99, the data and the actions reachable from Claude or Cursor over MCP, the measurement to end in a drafted fix built from what the engines actually read and a re-measurement that says whether it moved, and weekly competitor intelligence on the same bill. Our AI visibility tools guide covers the wider field.

11Verdict: is BrandPeek worth it?

The free plan, yes, for anyone who wants to see what six engines say about them and has not looked. It costs nothing, needs no card, keeps running, includes Claude, and lets you read the stored answers, which is the only evidence that matters in this category. The $25 plan, yes, as a weekly check on a couple of engines for a brand that cannot justify $99 yet. The $90 and $350 plans, not on the evidence available: at those prices you are choosing an unreviewed vendor with a quiet help centre, undefined homepage claims and an API still coming soon over reviewed vendors that cost the same or less for daily tracking.

That verdict could change quickly, and BrandPeek could change it. Define the detection rate and the success rate on the homepage. Fix the changelog and terms links. Get a G2 listing. Publish one customer with a name. Ship the API. The product underneath, six engines and a published credit formula and a free plan that renews, is more honest than the marketing on top of it.

What we could not verify: every number on the homepage, the two testimonials, the effect of the Optimizer’s rewrites, the Starter plan’s retention, the top-up price, and whether the 30 percent code is limited in any way. We have said so where each comes up.

12Frequently asked questions