SEO and marketing decision
AI Directories
A technical user can build an automated submission tool and small UI (narrow workflow) in a few weeks, but reproducing the vendor's curated list, manual handling for paid directories, and existing reputation/newsletter reach is harder to match.
Visit website↗Built by Sergiu 🤖 AI Directories, who ships 6 products in this index
$99/mo
$1,188/yr
Read off the official pricing page.
$100one-off50 h to build
$70/mo6 h/mo upkeep
On cash alone, building overtakes the subscription at 1 seat.
No open-source build does this yet
Nothing published replaces this one, so a replacement starts from an empty file. Here is what it would have to cover.
What a replacement has to do
- Collect a target tool's metadata, run automated submissions to a curated list of directories, record confirmations and generate a submission report for the customer.
What it still won’t have
- The vendor's curated directory selection and testing
- Manual confirmations and individualized handling for paid directories
- Established customer testimonials and newsletter mentions
- Satisfaction guarantee / refund handling workflow already in place
- Time saved by their existing manual submission operations
What remains hard
- Execution quality
We manually submit your startup to 100+ directories, boosting backlinks , SEO , and traffic .
- Brand trust
Trusted by 1000+ founders
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a minimal directory-submission service in Node.js + Express, React frontend, Postgres database, and Puppeteer for browser automation. In scope: (1) public web form + Stripe one-time payment to collect product metadata; (2) admin CSV-importable curated directory list and DB schema for submissions; (3) per-directory automated submission workers using Puppeteer with retry/backoff and a scheduler (node-cron); (4) status tracking saved to Postgres and a generated PDF/HTML report emailed via SendGrid; (5) basic auth for admin UI, logging, error handling, and unit/integration tests for submission worker and web routes. Out of scope: training ML models, crawler-resistant anti-bot workarounds, large-scale multi-tenant billing, and premium customer concierge. Require error handling, retries, tests, and deployment-ready Dockerfiles.
How we checked
How the score was reached
- Partly verdict base52
- 3 cited sources+3
- Price verified on pricing page+3
- 3/3 assessment runs agreed+4
- Evidence score62
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time - so the same evidence always produces the same number.
How scoring works →Cited sources · 3
Every page the run actually retrieved.
- official productAI Directories home
- official pricingAI Directories pricing
- official productAI Directories FAQs / features
Integrity checks
What held up, and what did not.
