ApplyGoat is a mid-market auto-apply and tailoring tool that trades some control for speed. It works best for candidates applying broadly, and less so for a small number of hand-targeted roles.
I used applygoat. It finds jobs from various company career sites. And then it tailors the cv and cover letter for the job. I end up applying to arnd 40 jobs in an hour. Got 7 calls. 2 offers. Success rate is amazing. Got in amazon and tesco as product manager. Accepted amazon. I think the main…
View original on RedditLinkedIn is getting flooded with fake recruiters. They post jobs, ask for your CV via email, then suddenly it’s “not ATS compliant” and conveniently refer you to paid CV writers. It’s not hiring, it’s a scam. ... - applyGOAT ... - Report this post Recruiters spend an average of 7 seconds reviewing your application. SEVEN SECONDS. You spent 2 hours perfecting that cover letter opener. Nobody read it. What they DID check: whether your CV matched their ATS keywords. Whether your formatting was clean. Whether you applied before 200 other people did. So stop agonising over prose and start optimising for what actually matters. applygoat.com — AI that tailors your CV to the job description, passes ATS scans, and files the application for you. Controversial? Maybe. Effective? Definitely. 🐐 #JobSearch #CoverLetter #Recruiting #HRTech #CareerTips #ApplyGoat
View original on linkedin# I Let AI Apply to 100 Jobs for Me — Here's What Happened A 30-day experiment using AI to apply to 100 jobs: 18% response rate, 11 interviews, 2 offers, and about 20 minutes a day instead of 4 hours. ... - 30-day experiment using applyGOAT to generate and manage all job applications - 100 applications sent across 4 weeks, averaging 25 per week - 18 responses (18% response rate) — 3x the industry average for manual applications - 11 interviews, 2 formal offers by the end of week 4 - Time spent: ~20 minutes per day vs 3–4 hours for traditional job searching - Biggest learning: the quality of the AI output is directly proportional to the quality of your profile inputs ... A colleague mentioned they'd started using applyGOAT to generate tailored resumes and cover letters for each application. I was sceptical — AI-generated application materials felt like they'd be generic. But the alternative wasn't working. So I decided to run a proper experiment: 30 days, track every metric, and see what ... Before starting, I spent two hours building out my full profile in applyGOAT — work ... My rule: every application would use applyGOAT-generated materials. I'd review and edit each resume and cover letter before submitting — AI as assistant, not replacement — but I would not write from scratch. ... 100 Applications sent 18 Responses received 11 Interviews held 18% Response rate 2 Formal offers ... |Week|Applications|Responses|Notes| |--|--|--|--| |Week 1|23|0|Profile inputs were thin — vague bullets, no numbers| |Week 2|26|6 (23%)|Rebuilt profile with quantified achievements — dramatic improvement| |Week 3|28|7 (25%)|Refined targeting — focused on roles with 65%+ ATS score| |Week 4|23|5 (22%)|Lower volume, higher selectivity — started interview scheduling| ### Week 1: The Failure Zero responses. I assumed the AI wasn't working. Looking back, the problem was my profile inputs. My bullet points said things like "managed social media campaigns" and "worked on email marketing." No numbers. No context. The AI generated polished-sounding resumes — but polished versions of vague inputs are still vague. ... I spent an afternoon rewriting every bullet in my profile: finding the numbers, adding context, converting responsibilities into outcomes. "Managed email campaigns" became "Built and managed lifecycle email programme for 40K subscriber base — achieved 32% open rate vs 22% industry average." Week 2 response rate: 23%. The AI hadn't changed. My inputs had. > "Garbage in, garbage out. The AI is only as good as the experience data you give it. Give > it numbers and specifics and it builds something genuinely compelling." ... I started using the ATS score as a filter — only applying to roles where my generated resume scored 65% or above against the job description. This cut my application volume slightly but improved response rates further. By week 3 I had six interviews scheduled. By week 4 I had two offers on the table. ... - **AI-tailored summaries:** Each resume opened with a summary that mirrored the language in the job description. This is the single change that had the biggest visible impact on ATS scores. - **Cover letter specificity:** applyGOAT's cover letters referenced specific details from the JD — not just role title but growth challenges, team composition, tools mentioned. Recruiters commented on this in interviews. - **ATS score as a filter:** Only applying where score was 65%+ eliminated the weakest applications and concentrated effort where I had genuine keyword alignment. - **Speed:** Applying within 24–48 hours of a posting consistently beat out other candidates in recruiter first-contact timing. ## What Didn't Work - **Thin profile inputs:** As Week 1 proved, vague profile data produces vague resumes regardless of how good the AI is. - **Applying without reviewing:** On two occasions I submitted an AI draft without reading it carefully. Both had minor inaccuracies in how the AI framed a responsibility. Always read the output. - **Ignoring ATS scores below 50%:** Applications with low keyword match rarely converted. Time better spent finding better-matched roles. **The one non-negotiable:** Always review the AI output before submitting. AI generates a strong draft — you make it accurate and genuinely yours. Submitting unreviewed content is a shortcut that creates risk. ... Before the experiment: 3–4 hours daily, 8–10 applications per week, 5% response rate. During the experiment: ~20 minutes daily, 25 applications per week, 18% response rate. ... The 20 minutes per day broke down as: 5 minutes searching for new postings, 10 minutes reviewing and lightly editing AI-generated materials, 5 minutes submitting and logging ... Can recruiters tell when a resume is AI-generated? Not reliably, especially when the output reflects your real experience and you've edited it to sound like you. The problem recruiters notice isn't AI-generation — it's generic content that could apply to any candidate. A well-tailored AI-generated resume that's specific to the role and accurate to your experience reads as better than most human-written resumes. ... Results depend heavily on your sector, seniority, and how thoroughly you've built your profile. In this experiment, 18% was achieved for a mid-level marketing role in a competitive market. Industry average for manual applications is typically 5–8%. Expect improvement, but exact rates vary by role and market conditions. ... applyGOAT works for any role where a resume and cover letter are the primary application materials. ... That Week 1 got zero responses and Week 2 got 23% — with no change to the AI, only to my profile inputs. The tool is only as good as the data you feed it. Most people who say "AI resumes don't work" are feeding the AI bad inputs and blaming the output.
View original on applygoatapplyGOAT Reviews and Pricing 2026 | F6S ... # applyGOAT Claim ## What is applyGOAT? applyGOAT is an AI-powered career assistant for job seekers that builds and optimizes resumes and cover letters tailored to specific job descriptions. Key capabilities include an AI resume builder, AI cover letter generator, ATS score checking/optimization, autofill of application fields from job descriptions, job-specific follow-up email generation, and basic application tracking. It helps individuals improve ATS compatibility and streamline the application process. ... ## applyGOAT reviews
View original on f6s| Plan | Price | Includes |
|---|---|---|
| Free tier | Limited applies/week | Browse & trial |
| Pro | ~$24-49/month | Full applying + tailoring |
| Lifetime/Max | One-time | Highest volume |
Most users report more interview invites vs. manual applying, but quality depends on role-fit settings. Filter tightly.
Yes if you are applying broadly; less so if you only target a handful of roles by hand.
Most send via your account, so keep volume moderate. Paid tiers reduce per-day risk.
