AI Readiness Enrichment — score a list of domains
Pricing
$3.00 / 1,000 row returneds
AI Readiness Enrichment — score a list of domains
One row per domain: search readiness, answer-engine readiness, and the gap between them. Finds companies that invested in SEO and get nothing back from AI assistants.
Pricing
$3.00 / 1,000 row returneds
Rating
0.0
(0)
Developer
The Artifact Machine
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
Categories
Share
One row per domain: search readiness, answer-engine readiness, and the gap between them. Finds companies that invested in SEO and get nothing back from AI assistants.
Find companies that rank in search but are invisible to AI assistants — the gap is the pitch, not the score.
What you get
One row per domain, with these columns:
searchReadinessanswerEngineReadinessaiCitabilitygapqualified
Real output
Measured on https://www.hubspot.com/:
{"searchReadiness": 94,"answerEngineReadiness": 53,"aiCitability": 68,"gap": 41,"qualified": false,"hasLlmsTxt": true}
Input
Give it a list of domains:
{ "domains": ["example.com", "another.com"] }
Or chain it after any actor that produces a list — Google Maps Scraper, a CRM
export, a prospect list — by passing that dataset as items and naming the
column that holds the website:
{ "items": [{ "title": "Acme", "website": "acme.com" }], "field": "website" }
Domains it could not read
A domain that blocks the scan, times out, or errors comes back with
measured: false, a reason, and every data column null — never a zero
and never a false.
That matters at bulk. One fabricated false in a sheet of ten thousand rows
is worse than a missing row, because nobody audits the row that looks
plausible. Filter on measured and you know exactly what you are looking at.
Roughly one site in eight refuses an automated reader.
Notes
- Reads the homepage only, one page per domain.
- Loads each page in a real browser, so it sees client-rendered content.