AmICited tracks AI search visibility, $17K MRR: Stripe-verified revenue

AmICited tracks brand visibility and citations across AI search engines and recommends content changes. Its $17K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 30, 2026.

What it actually sells

AmICited tracks how ChatGPT, Perplexity, Gemini and Google AI Overviews cite a brand. It tracks brand visibility, citations, prompt coverage and citation rank across AI search engines.

It also tracks competitor performance in AI answers, provides optimization recommendations and supports SEO optimization for product pages, collections and sub-collections.

How it charges

The product's price could not be identified on the pages we read. Currency amounts appear on the pages, but none could be tied to the product's own pricing. MCP server access, AI agents and custom agent workflows are available on applicable plans.

Month by month

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

Month	Revenue (USD)
2025-10	$10,359
2025-11	$11,620
2025-12	$6,961
2026-01	$8,860
2026-02	$10,320
2026-03	$12,647
2026-04	$13,582
2026-05	$13,327
2026-06	$16,774
2026-07	$16,502
2026-08	$15,316
2026-09	$21,847

Where customers come from

AmICited offers a free visibility check and a 7-day free trial with a card required. It publishes guides and articles related to AI search and visibility. It integrates with Google Search Console, Bing Webmasters, Google Analytics 4, Shopify, WooCommerce, Stripe, Google Ads and Meta Ads. It also offers MCP server access for agents such as Claude Code and Codex.

What stands out

The platform connects ecommerce, analytics, advertising and billing systems for revenue and ROI reporting. Its Shopify connection associates each order with the channel, prompt and page that produced it. It also provides AI agents, MCP server access and custom agent workflows on applicable plans.

From the official site

For a single brand getting its first read on AI visibility.

Product pages, collections, sub-collections â optimised for search and for models.

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

Where it sits in the data

AmICited's $17K MRR is higher than 96% 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 96% (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?

In my view, demand would come from brands, ecommerce businesses, SaaS companies, marketing teams and agencies that need to understand AI search visibility. The buyer would be a team responsible for content, SEO, marketing analytics or ecommerce performance.

Distribution could use free visibility checks, trials, educational guides, articles and direct outreach to relevant teams. Building the product would require reliable tracking across AI search engines, deep data integrations, attribution infrastructure and continuous support. Search competition and changing AI platforms would add further difficulty.

Verdict: Needs real work.

One thing to take from it

The clearest product lesson is to connect visibility tracking with actions teams can take. AmICited combines citation monitoring, optimization recommendations, competitor analysis, content optimization and revenue reporting within one platform.

Sources

AmICited official website, fetched October 1, 2026
AmICited pricing page, fetched October 1, 2026
AmICited about page, fetched October 1, 2026
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