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SEO and AI visibility tools, $23K MRR: Stripe API verified by TrustMRR

SEO Stack combines search analytics, data warehousing, AI visibility tracking, website audits, and an AI assistant. Its $23K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.

What it actually sells

SEO Stack is a B2B SaaS platform for search reporting and improvement. It combines SEO tools, GA4 analytics, a warehouse for Search Console and GA4 data, and tracking for how AI engines cite a brand. An AI assistant tracks performance and generates recommendations; crawls, URL inspections, content scoring and same-session rewrites connect analysis to edits.

The warehouse starts with the connection: "Every plan warehouses your Search Console and GA4 data from the day you connect a property". The AI Assistant can track GA4, GSC and AI visibility, then extrapolate opportunities and recommendations. Website crawls, URL inspections, and content checks by intent and entities add technical and editorial actions to the same product.

How it charges

The site lists Basic $129.99, Pro $349.99, and Agency $679.99. The listed active-subscription count is 198. Every plan includes the Search Console and GA4 warehouse from the day you connect a property, placing the core data layer across the full lineup rather than only behind the Agency plan.

Month by month

Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 30, 2026.

MonthRevenue (USD)
2025-10$27,034
2025-11$31,305
2025-12$23,178
2026-01$27,605
2026-02$19,996
2026-03$22,357
2026-04$18,411
2026-05$18,715
2026-06$15,094
2026-07$14,332
2026-08$15,532
2026-09$15,594

Where customers come from

The site names digital marketers, website owners, and businesses as the audience. It says: "SEO Stack helps digital marketers, website owners and businesses with improving online visibility across organic search, paid search and AI / LLMs such as Claude, chatGPT, Gemini etc." This is the buyer segmentation shown on the site, covering campaign work and business-level visibility.

Visible routes to the market are a knowledge base, end-to-end video guides, a blog on search data and AI visibility, and MCP documentation for connecting AI agents. The affiliate programme offers commission or account credit for referrals, while the ambassador programme offers a free or half-price plan for SEO creators. These are visible channels, but the site does not disclose which one produces the most customers.

What stands out

The platform says it is trusted by over 5000 users and brands, lists 30 tools, and gives users access to 10+ years of Search Console data. The site also says SEO Stack had over 100 users by 2022. The history claim is tied specifically to Search Console data, while the wider proof points cover users, brands, and tool breadth.

The product combines historical Search Console access with GA4 analysis, AI citation tracking, technical crawls, and editorial rewrites. Brand visibility can be checked across chatGPT, Gemini, Google AI Overviews, Claude, and Grok, while the AI Assistant connects those findings to recommendations. The shared warehouse is the connective layer across search, paid search, and AI visibility.

From the official site

SEO Stack helps digital marketers, website owners and businesses with improving online visibility across organic search, paid search and AI / LLMs such as Claude, chatGPT, Gemini etc.
Every plan warehouses your Search Console and GA4 data from the day you connect a property

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

SEO Stack's $23K MRR is higher than 97% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Analytics” category (646 projects) it is higher than 97% (category median $135). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

Demand would come from digital marketers and website owners who want search analytics, paid search visibility, and AI citation checks in a shared workflow. The likely buyer is the person responsible for reporting and improvement, while the Agency plan creates a route for agencies. Distribution could come from educational content, workflow videos, referrals, and ambassador partnerships, all of which have visible support on the site.

The hard part is maintaining reliable search and analytics connections, storing every row, interpreting changes across several AI engines, and keeping recommendations actionable. Connected analytics data brings permissions, privacy, regulatory, and platform-policy work. A version of this product also carries an ongoing support load for integrations and reporting, and it would enter markets where SEO dashboards, analytics products, and AI-visibility monitors already compete.

Verdict: Needs real work.

One thing to take from it

One thing to take from it is to make the data layer central, then attach analysis and action around it. SEO Stack keeps Search Console and GA4 data, tracks AI visibility, recommends changes, and supports rewrites within the same workflow. Its Basic, Pro, and Agency pricing, educational material, affiliate programme, and ambassador programme show concrete ways to package and distribute the offer.

Sources

  1. SEO Stack official website, fetched October 1, 2026
  2. SEO Stack pricing page, fetched October 1, 2026
  3. SEO Stack about page, fetched October 1, 2026
  4. TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure

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