Company profile
Auto-Respond
Live profile
Yelp auto responder that drafts replies in under 2 seconds for staff review, plus Thumbtack, Facebook, LSA and an AI voice agent. 7-day free trial.
Astro, Crisp +3
Public pricing page
AI Classification
No deep intelligence yet
Run a full profile to see buying signals, account scoring, pain signals, and recommended contacts for Auto-Respond.
Tech Stack
Analytics
CDN
Framework
Marketing
Similar Companies
Social Links
Notable Customers
Auto-Respond is one of 2,671 B2B companies in the Kustiq directory.
Auto-Respond sits among 147 product-led companies in our SaaS directory.
Similar profiles: BigID, Brand24, AI-Powered Workforce Transformation Platform, and Discover CRM.
How Auto-Respond compares with other Product-Led companies
Auto-Respond is one of 147 Product-Led companies profiled in the Kustiq SaaS directory, which holds 343 SaaS companies in total. Every number below is computed from those profiles.
The most common tech detections across the 52 peers with a visible stack are Cloudflare (50%), Google Analytics (25%), and Next.js (17%). Auto-Respond lists none of them.
Among the 59 segment companies with disclosed funding, Growth is the most common stage (54%).
The median founding year across 47 peers with a known founding date is 2015.
San Francisco is the most common HQ city in this segment, home to 14% of the 35 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 5 rendered pages of auto-respond.com and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
Frequently asked questions
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