Gomotion AI ↗: One-click AI YouTube documentary generator
- MRR
- $61,921 Verified 2026-10-26
- Total revenue
- $134,907
- Active subscriptions
- 1,311
Verified by TrustMRR
In one line: An AI tool that generates long YouTube documentary videos in one click, with monthly plans tiered by credits and no annual billing.
- Founder
- Iker
Timeline
- Founded date listed on TrustMRR
- First full month of revenue: $18,411 (TrustMRR)
Compared with similar products
Sources: TrustMRR: Gomotion AI; TrustMRR: Vid.AI; TrustMRR: White Glove Content; TrustMRR: Faceless.
TrustMRR figures are monthly revenue as shown on 2026-10-23 (read-only sync from the payment provider).
Moves Gomotion AI made
No public information yet
How to copy it
Collect 20 quotes from your target users complaining about the same task in a circle you know, and pick 1 niche
Search the platform where your target users gather for posts and replies about their workflow, collect 20 quotes complaining that one task takes too long or asking for a one-click tool, save each link, and pick the niche where complaints cluster most. Author's approach: aimed the product at YouTube automation and faceless channel owners, content agencies and channel networks (TrustMRR).Expand ▾Collapse ▴
Search the platform where your target users gather for posts and replies about their workflow, collect 20 quotes complaining that one task takes too long or asking for a one-click tool, save each link, and pick the niche where complaints cluster most. Author's approach: aimed the product at YouTube automation and faceless channel owners, content agencies and channel networks (TrustMRR ↗).
- A 20-row table: quote, link, poster and niche; 1 niche chosen.
- Every link in the table opens publicly and matches the quote.
Below are 20 quotes I collected from <your target users> on <the platform where your target users gather> (each with link and poster). Please: 1) group and count them by niche; 2) assign each to the most time-consuming stage of their workflow; 3) recommend the 1 niche with the most quotes and the most concentrated complaints, and say roughly how long the task takes them now (only from numbers in the quotes; write unknown if none). Material: <paste>
Use an AI coding tool to build a minimal generation pipeline: one input in, one finished product out
Use an AI coding tool to write a minimal pipeline that runs the time-consuming task from step 1 end to end in one go, using properly licensed services or assets at every stage, logging each asset's source and license, and recording total run time. What the founder did: users paste a script and get a full long-form video in one click, ready within the hour by the founder's account (TrustMRR).Expand ▾Collapse ▴
Use an AI coding tool to write a minimal pipeline that runs the time-consuming task from step 1 end to end in one go, using properly licensed services or assets at every stage, logging each asset's source and license, and recording total run time. What the founder did: users paste a script and get a full long-form video in one click, ready within the hour by the founder's account (TrustMRR ↗).
- One real input from your step 1 niche produces a finished product automatically; every asset has a source and license record; total run time is logged.
- The output is complete and usable, and every asset in credits.csv has a source link and license note.
Write me a command-line pipeline that takes <the raw material your target users have> and outputs <the finished product they want>: 1) split the input into small segments; 2) call the matching AI service for each segment and log the time; 3) where assets are needed, pull them from a properly licensed library, download them locally and record the source page and license; 4) assemble the final product; 5) print total run time and usage per API. Requirements: read API keys from environment variables; write asset sources to credits.csv. List the file structure first, then the code.
Step 2: write the whole pipeline: script -> voiceover -> footage -> captions -> assembly.
Step 2: assemble the voiceover, footage, captions and background music into a 1080p MP4.
Step 2: generate the narration sentence by sentence (our recommendation; the founder's voice provider hasn't been made public).
Step 2: search free-to-use video clips by each sentence's keywords (our recommendation, not tested; the founder's footage source hasn't been made public); sign up for a free account to get an API key on the docs page, and credit Pixabay where results are shown.
Check the output against your target platform's rules, item by item
Open the content and monetization policies of the platform where your target users publish, check the step 2 output against them one by one, focusing on limits on mass-produced AI content, then add a note at the product's input box that the input must be the user's own original work. What the founder did: TrustMRR positions the product as generating long-form content for creators (TrustMRR), from scripts the users paste in themselves.Expand ▾Collapse ▴
Open the content and monetization policies of the platform where your target users publish, check the step 2 output against them one by one, focusing on limits on mass-produced AI content, then add a note at the product's input box that the input must be the user's own original work. What the founder did: TrustMRR positions the product as generating long-form content for creators (TrustMRR ↗), from scripts the users paste in themselves.
- A checklist marking each policy item "pass" or "what changed"; an "input must be original" note at the product's input box.
- The checklist has no "fail" items and every risk item has a fix.
Below are the content and monetization policies of <the platform where your target users publish>, and a description of one output from my tool (input source, how it's generated, asset sources and licenses, which parts are the same across outputs). Please: 1) check each policy item and mark it "pass", "risk" or "fail", quoting the policy each time; 2) judge whether it could count as mass-produced content lacking originality, with reasons; 3) suggest at most 3 changes and write one English sentence for the product's input box reminding users the input must be their own original work. Material: <paste>
Send the sample to 3 target users and ask if they'd pay a monthly price
Pick 3 target users in the same niche from step 1, DM them the step 2 sample link, ask whether they'd pay or try it at "$<price>/month for about <N> finished pieces", and screenshot every reply. What the founder did: monthly subscriptions billed in credits, with the lowest plan covering a fixed number of finished pieces per month (TrustMRR).Expand ▾Collapse ▴
Pick 3 target users in the same niche from step 1, DM them the step 2 sample link, ask whether they'd pay or try it at "$<price>/month for about <N> finished pieces", and screenshot every reply. What the founder did: monthly subscriptions billed in credits, with the lowest plan covering a fixed number of finished pieces per month (TrustMRR ↗).
- 3 DMs sent; replies saved as screenshots.
- A target user replies they'd pay or try it.
I built a tool that turns <input> into <finished product>; the first plan is $<price>/month for about <N> pieces. Below are the 3 <your target users> I'll DM: handle, niche, and their quote about the time it takes. Write each a DM of 60 words or fewer: the first sentence quotes their own words; the second gives the sample link <link> and says it was made from material in their niche; the third asks a yes/no question: would they try it at this price. Promise no results or income. Material: <paste>
Build the minimum sellable product: input, generate, download, charged in credits
Use an AI coding tool to wrap the step 2 pipeline in a web page: after signing in, users submit their input, hit generate and download the result; each job deducts credits by usage (you set the rate) and failed jobs refund automatically. What the founder did: users paste in their script and billing is in credits (TrustMRR).Expand ▾Collapse ▴
Use an AI coding tool to wrap the step 2 pipeline in a web page: after signing in, users submit their input, hit generate and download the result; each job deducts credits by usage (you set the rate) and failed jobs refund automatically. What the founder did: users paste in their script and billing is in credits (TrustMRR ↗).
- The user from step 4 who agreed to try it completes the flow with their own input: sign in, submit, generate, download, with credits deducted by usage.
- Your logs show one job for this user with credits deducted matching usage.
Wrap my step 2 command-line pipeline in a web product, scoped to four things: 1) email sign-in; 2) an input box (with an "input must be your own original work" note above it), options and a generate button; 3) run the pipeline in a background queue, email the user when done and offer the download; 4) each account has a credits balance deducted by usage (<N> credits per unit), with generation blocked when the balance is too low. Requirements: refund credits on failed jobs and show the reason; record credits used and run time per job. List files and environment variables first, then the code.
Step 5: wrap the pipeline in a web page with sign-in, script pasting, queued generation and a credits balance.
Create a monthly subscription in Stripe that grants a fixed monthly allowance
Create a monthly subscription price in Stripe that grants a fixed number of credits each month, and put the payment link next to the product's low-balance notice. Set the price from the step 4 replies. What the founder did: payments run through Stripe, with revenue verified through the Stripe API (TrustMRR).Expand ▾Collapse ▴
Create a monthly subscription price in Stripe that grants a fixed number of credits each month, and put the payment link next to the product's low-balance notice. Set the price from the step 4 replies. What the founder did: payments run through Stripe, with revenue verified through the Stripe API (TrustMRR ↗).
- The payment link opens and shows the monthly price; after payment the account gains the matching credits.
- Pay once in Stripe's test environment: the subscription is active and the credits rise accordingly.
I sell a tool that turns <input> into <finished product>. The first plan is $<price>/month with <credits> credits a month (about <N> pieces). Write: 1) the Stripe product name and a one-line description stating the credits and roughly how many pieces; 2) under 40 words for next to the low-balance notice, framed as roughly what each piece costs (only my numbers); 3) one English line on what happens to unused credits (rule: <my rule>). Promise no results.
Step 6: create the entry-tier monthly subscription price and add credits to the account after payment; TrustMRR shows the founder's revenue verified through the Stripe API.
Get your first revenue: a payment succeeds and the user generates output with it
DM the payment link to the users who said yes in step 4 and watch your Stripe payments for the first one. The payer can't be you, and it only counts once they've used credits to generate at least 1 piece after paying. What the founder did: his Stripe-verified revenue is public on TrustMRR (TrustMRR).Expand ▾Collapse ▴
DM the payment link to the users who said yes in step 4 and watch your Stripe payments for the first one. The payer can't be you, and it only counts once they've used credits to generate at least 1 piece after paying. What the founder did: his Stripe-verified revenue is public on TrustMRR (TrustMRR ↗).
- Your Stripe payments show the first real payment (not test mode) from someone other than you, and your logs show this user generated at least 1 piece after paying.
- The user generates a second piece within their first paid cycle.
One of <your target users> just paid $<price>/month (<credits> credits). Below is the log of their first piece after paying (niche, usage, run time, credits deducted). Write a DM of 80 words or fewer: 1) tell them how many credits it used and how many are left (only my numbers); 2) remind them to check the platform rules before publishing and that the input must be their own original work; 3) ask what they want to make next. Material: <paste>
Step 7: confirm the first payment succeeded in the payments list; TrustMRR shows the founder's revenue verified through the Stripe API.
Sources
Next case
Vid.AI: AI turns an idea or script into a video
Business model: B2C SaaS subscription (Starter $39/mo, Plus $99/mo, Pro $199/mo)
Data source: TrustMRR, checked 2026-10-18