Checkgrow
Checkgrow is an AI-native go-to-market platform built around a single company knowledge base. Marketing, sales, research and reporting modules all read from it, so campaigns, agents and dashboards start from what the business already knows.
What is Checkgrow?
Checkgrow describes itself as the go-to-market engine that learns your product, and positions itself as a growth operating system rather than one more point tool. Its premise is that every marketing tool starts from zero, forcing teams to re-explain the business for each campaign, each hire and each AI prompt.
The centre of the product is the Knowledge Centre. Brand, products, audience and numbers are defined once, then read automatically by every agent, campaign and report, and every result feeds back in. Onboarding starts from the company website and builds a knowledge graph covering brand, ideal customer profile, use cases, products, competitors, social media, tracking and campaigns.
Four verticals plug into that core. Operations covers the dashboard, an AI assistant that answers from your own data, more than forty specialist AI agents and a task board. Marketing covers campaigns, social media, content, website and tracking. Sales covers company dossiers, fit-scored decision-makers and lead management. Research and Reporting covers competitor monitoring and analytics.
Concrete outputs are documented rather than merely claimed. Campaign briefs run the full funnel with budget allocation and channel benchmarks informed by competitors' live ads. Reports unify GA4, Meta and Google Ads on a single date range, classify events automatically into TOFU, MOFU and BOFU, compute totals server-side and share as a live public link. The website audit runs across desktop and mobile, scores by category, and turns prioritised findings into tracked tasks. There is no model lock-in: OpenAI, Google Gemini, Anthropic Claude and Perplexity are all available, chosen per job.
The commercial argument is a stack replacement. Checkgrow puts the typical eleven-subscription growth stack at around €1,199 per month against its own entry plan at €79. Its stated origin is fifteen years of hands-on marketing, an agency before it was a platform.
One caveat frames everything: access is still closed. Every call to action reads Join the waitlist, no payment details are taken, and the site's own structured data declares pre-order availability. The platform itself demonstrably runs, with a public changelog, thirty-four documentation articles and named customers.
What it does
- Build one company knowledge base covering brand, products, buyer personas, competitors and tracking
- Generate full-funnel campaign briefs with budget splits, channel mix and creatives per stage
- Run 40+ specialist AI agents and chain them so one output feeds the next
- Turn AI output into owned, approved and shipped tasks on a shared board
- Unify GA4, Meta Ads and Google Ads into one plain-language report with a shareable link
- Track competitors' live ad activity and produce an AI gap analysis
- Audit a website for conversion, scored by category, with prioritised and evidence-checked fixes
When to use Checkgrow / When not to
A quick filter to help you decide if Checkgrow is the right fit.
When to use Checkgrow
- Small growth teams that need to cover marketing, sales and reporting without hiring for each function
- Founders and CMOs who want to define brand, offer and target buyer once and keep everything downstream on message
- Marketing and sales operations teams currently juggling ten or more separate subscriptions
- European companies that need their marketing data stored inside the EU under an EU-established controller
- Teams that read GA4, Meta Ads and Google Ads regularly but have no data analyst to interpret them
When not to use Checkgrow
- Anyone who needs access today: signup runs through a waitlist and workspaces open in batches
- Developers looking for a product API or SDK, since neither exists beyond the outbound webhook
- Teams that work primarily from phones, as there is no native iOS or Android application
- Advertisers who need channels beyond Google, Meta, LinkedIn, Instagram and TikTok
- Buyers whose procurement requires a signed customer DPA or a named data protection officer
How to use Checkgrow
A typical end-to-end flow, from setup to results.
- Join the waitlist with a work email; no payment details are requested
- Wait for a workspace to open, since access is granted in batches rather than on demand
- Take the onboarding session offered by the team to set up the knowledge base
- Onboard the company from its website, which the vendor puts at roughly an afternoon
- Review and complete the knowledge graph: brand, products, buyer personas, competitors, tracking
- Connect the integrations you already run, such as GA4, Google Ads, Meta, LinkedIn, Instagram, Notion and Slack
- Choose which AI model handles each job among OpenAI, Gemini, Claude and Perplexity
- Brief a campaign and let the agents produce the strategy, creatives and channel mix
- Route the generated work to the task board with owners, checklists and sign-off
- Open the Insights dashboard to read the funnel and share a live report link
Pros & Cons
Pros
- One knowledge base feeds every module, which removes the constant re-briefing of separate tools
- No model lock-in: OpenAI, Gemini, Claude and Perplexity are selectable per job
- Data stored in the EU at AWS Frankfurt under an EU-established controller, which keeps the legal chain short
- Unusually transparent about subprocessors, naming nine providers with their locations and certifications
- Public documentation of thirty-four articles and a detailed public changelog
- Real portability: PDF and machine-readable exports, plus immediate self-service account deletion
- Credits are consumed only when an action calls a paid AI or data provider; reading and managing existing information is free
Cons
- Access is closed behind a waitlist, so no one can sign up or buy on demand today
- The legal pages only render with JavaScript, since the subdomain returns the same shell for every path
- The privacy policy and the security documentation contradict each other on model training
- No customer-facing DPA and no appointed data protection officer, which will slow enterprise procurement
- No product API and no SDK, despite a documentation meta description that mentions both
- No native mobile application, and no social media presence of any kind
- The vendor is a very young micro-company still at pre-launch stage, with legal documents at version 1.0 and twelve public reviews to date
Pricing & Plans
There is no permanent free plan. The lowest paid entry point is the Starter plan at €79 per month when billed monthly, which includes 750 Growth Credits, three team members and a three-month free trial. Two higher tiers follow at €149 and €499 per month, and an enterprise offer is quoted individually. An annual billing toggle advertises a 10% saving, though the annual amounts are not shown in the page source. Joining the waitlist requires no payment details.
- 750 Growth Credits per month
- up to 150 unused credits carried over
- 3 team members
- 3 months free trial
- Sales suite included during the trial only
- 1
- 500 Growth Credits per month
- up to 300 unused credits carried over
- 5 team members
- Sales suite included
- 5
- 000 Growth Credits per month
- up to 1
- 000 unused credits carried over
- unlimited team members
- Sales suite included
- custom AI systems
- self-hosted and custom-developed setups matched to the customer's stack and security requirements
- leads inbox and management
- Insights reporting
- integrations
- team and permissions
- reports and exports
Data, GDPR & hosting
A consolidated view of how Checkgrow handles your data.
GDPR overview
GDPR implementation is concrete and unusually well documented. The data controller is named as Checkgrow d.o.o, Ulica Vjekoslava Heinzela 60, 10000 Zagreb, Croatia, VAT HR16006061302, reachable at admin@checkgrow.com. Because the vendor is established in the EU, no Article 27 representative is required or designated. The four legal bases under Article 6 are set out individually, and all eight data subject rights are documented article by article with the concrete steps to exercise each one, on a stated thirty-day response deadline. The vendor states it takes no solely automated decisions with legal effect under Article 22, and commits to the seventy-two-hour breach notification of Article 33. The Croatian supervisory authority, AZOP, is named as the route for complaints. Transfers outside the EEA rely on standard contractual clauses, signed processor agreements and the EU-US Data Privacy Framework. Both documents carry an effective date of 1 February 2026. No DPO is appointed and no customer-facing DPA is offered.
Who owns the data?
Customers keep ownership. The terms state that you retain ownership of everything you upload, submit or create, and that Checkgrow receives only a limited licence to host, store, process and display it for the sole purpose of running the service. Ownership of AI-generated output stays with you as well, subject to any underlying rights, though the terms warn that comparable inputs may produce comparable outputs for other customers. You can delete your account yourself, immediately and permanently, and user content is removed within thirty days. Feedback and suggestions are the exception: those carry a worldwide, royalty-free and perpetual licence to the vendor.
Reuse rights
Customers may reuse their own data freely and without asking permission. Two export routes are documented: a structured PDF of the knowledge base, and a full Online Archive delivered in a machine-readable format, typically JSON or CSV, within five to ten business days. The documentation states plainly that the vendor imposes no restriction on what you do with exported data. On the vendor's own side, the privacy policy lists service delivery, communication, platform improvement, security and compliance as its purposes, each mapped to a GDPR Article 6 legal basis. AI inputs travel to a provider you choose among OpenAI, Google Gemini and Perplexity, always proxied server-side so that your credentials never reach a third party directly. One point is genuinely unresolved: the privacy policy lists training and improving the vendor's own AI models on aggregated, anonymised data among its purposes, while the security documentation states that customer data is never used to train AI models.
Data retention & training
Hosting summary
Primary storage is in the European Union. Every database holding customer content, generated results, campaigns and knowledge entries sits on Supabase infrastructure at AWS Frankfurt, in Germany, and the documentation states that data stays in Europe, so no additional transfer mechanism is needed for primary storage. Processing is broader than storage. The privacy policy names nine subprocessors with their locations: Supabase in the EU, OpenAI, Perplexity, Resend and Firecrawl in the United States, Google Gemini and Google Analytics across the US and EU, and Cloudflare and the LinkedIn API globally. Transfers outside the EEA rely on standard contractual clauses, a signed agreement with every processor and the EU-US Data Privacy Framework. Enterprise customers may run self-hosted infrastructure instead. Note that the security certifications listed beside each provider belong to those providers; Checkgrow claims no certification of its own.
Things to keep in mind
Risks and trade-offs to weigh before adopting Checkgrow.
- Access is closed today: the platform cannot be tried or bought, and the vendor's own structured data declares pre-order availability
- Model training is genuinely unresolved between the privacy policy and the security documentation; get it in writing before uploading sensitive material
- Concentrating brand, buyers, numbers and competitive intelligence in one system creates a single point of failure and a real switching cost
- The published gains of 8 to 25 hours, 3 to 10% of media budget and 40 to 70% faster drafts are design goals validated per team at onboarding, not measured results
- The eleven tools in the comparison table are described by the vendor as category examples at typical list prices, so they are not quotes for your own stack
- Letting agents draft ads, posts and outreach at volume invites approving work nobody has really read; the sign-off workflow only helps if it is used
- Certifications such as SOC 2, ISO 27001 and HIPAA in the subprocessor table belong to the providers, not to Checkgrow, which claims none of its own
Setup & Integrations
Technical difficulty
Low. Setup requires no technical skill: onboarding starts from the company website URL and the vendor puts a full company onboarding at roughly an afternoon, with a guided session from the team when the workspace opens. Integrations connect through the accounts you already hold. Sign-in is passwordless by default, with two-factor authentication available. Nothing is installed and no code is written, since the product is web-only. The single exception is the enterprise self-hosted option, which is a genuine technical project.
Deployment
Integrations
Supported languages
Behind Checkgrow
Resources
All the official URLs gathered for verification and reference.
Alternatives
Tools that compete with or complement Checkgrow.
Frequently asked questions
What is Checkgrow?
Can I sign up today?
How much does it cost?
Which AI models does it use?
What are Growth Credits used for?
Who owns the data I put in?
Where is the data hosted?
Is my data used to train AI models?
Is there an API?
Who is behind Checkgrow?
Should you pick Checkgrow?
Checkgrow makes a coherent argument and, unusually for this segment, documents it. The single knowledge base genuinely addresses a real problem, the four verticals are specific rather than decorative, and the absence of model lock-in is a real advantage. The supporting material is stronger than the marketing: thirty-four documentation articles, a detailed public changelog, a named subprocessor table with locations, a category-by-category retention schedule and working data export. For a European buyer, an EU-established controller storing data at AWS Frankfurt is a substantive point in its favour.
The reservations are equally concrete. Access is still closed, so nothing here can be tried on demand; the vendor's own structured data declares pre-order availability and every button says join the waitlist. The vendor is a very young micro-company, its domain barely two years old and its terms still at version 1.0, which is worth weighing against the ambition of the product. The legal pages render only with JavaScript, which is a poor look for documents meant to be read. There is no customer DPA and no data protection officer, which will stall procurement in regulated buyers. There is no product API despite a documentation page that advertises one, no mobile application, and no social presence at all.
One inconsistency deserves a direct answer before signing: the privacy policy and the security documentation do not agree on whether customer data trains the vendor's models. Everything else is legible enough that this gap stands out. Worth a place on the shortlist for a European growth team that can wait for a workspace, and worth a written clarification on training and on a DPA before anything moves to contract.
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