ChatGPT can write a resume. Seekario is built to get you the interview.

Most job seekers don't pick ChatGPT from a list of job search tools. It's simply the AI they already have open. And it has improved: since June 2026, OpenAI says ChatGPT can surface live job listings (in the US) and lets you upload or create a resume, tailor it to a role, and download it formatted.

So the real question isn't "which one has more features?" It's this:

With ChatGPT, the quality of every output depends on two things: how good your prompt is, and whether you already know what good looks like. You decide what to ask. You decide what counts as a strong match. You decide whether a gap matters. You check whether the number in your third bullet point is actually true.

Seekario builds those decisions in. Every job is scored the same way. Every fix is ranked by severity. Every gap is labelled as a real skill gap or something you simply haven't written down. No generic chatbot advice, just the right tool at each step.

The rest of this page shows what that looks like, using real Seekario output.

1An honest score, against the same bar every time

A match score is only useful if it can come back low.

ChatGPT will assess your fit if you ask. But there's no fixed bar: change the wording of your prompt and you can get a different scale, different criteria, and a different verdict. That makes scores hard to compare from one job to the next, and hard to trust when you're deciding where to spend your time.

Seekario's AI Role Assessment scores every job the same way. Here's a real example: a senior AI leader's resume, assessed against a Head of AI Engineering role. It scored 72, flagged "Below the 80 interview bar," with sub-scores for technical skills, soft skills, industry skills, and keywords.

The report doesn't stop at the number:

• Your Strengths names where the resume already fits, such as production AI pipeline ownership and inference cost management, and which requirement each one matches.
• The Reality Check lists each gap and says whether it's likely real. In this case it noted that several gaps "may be articulation issues rather than true skill gaps, but as written, they cost you points." That's the difference between "go learn this" and "go write this down."
• The one thing is the single change that matters most: here, adding evidence of production monitoring, incident response, and cross-functional governance.
• Fixes are ranked by severity, tagged with the relevant keywords, and pinned to a specific place in the resume, with the text to add.
• Who they want describes the ideal candidate, drawn from the job ad.

The most important fix was marked Critical and pinned to the candidate's current role. The assessment pointed out that they almost certainly had production operations experience from running their own AI platform and just hadn't said so. So instead of inventing anything, it suggested a bullet built from a figure already on the resume:

"Owned production operations, establishing monitoring, alerting, and incident response protocols for the AI platform, maintaining 99% availability and leading triage for production issues."

The 99% came from the candidate's own resume. The suggestion only made visible what was already there.

2It tells you when not to apply

Ask a general AI to make your resume fit a job, and it will try its best to make it fit. That's the problem when the job genuinely isn't a match.

We tested this with the same AI leader's resume against a tenure-track faculty position in a sociology department. The Role Assessment scored it 28, a Poor fit. Then we ran the AI Resume Tailor anyway. Instead of a professional summary, it wrote this:

"This candidate's resume does not support the core non-negotiable requirements of this role. … No honest summary can bridge this gap without fabrication. I am unable to produce a summary for this pairing."

The must-have it couldn't get around was a PhD in sociology. The candidate's PhD is in computer science, and the Tailor said so rather than blurring it.

When a role is a real fit but a bullet needs a number your resume doesn't contain, the Tailor leaves a highlighted placeholder instead of a guess, for example: "achieving a [[INSERT_A_METRIC_HERE]]% reduction in operational redundancies." The AI Resume Builder works the same way, asking things like [[METRIC: how many courses or cohorts?]] when your career story leaves something out.

ChatGPT can be careful too, if you ask it to be. But OpenAI itself reminds users that ChatGPT can make mistakes and that important information should be checked. On a resume, every claim is one you may have to defend in an interview, so Seekario makes the safe behaviour the default.

3A resume audit that knows the level you're aiming for

Ask ChatGPT whether your resume is good, and "good" means whatever it guesses you want. Seekario's AI Resume Audit judges your resume against a specific target level, from Fresh Grad to Executive.

Run against a Director-level target, the same AI leader's resume scored 74%, "Needs Improvement," with Impact 76, Structure 70, and ATS 76. The executive summary didn't soften it: the resume positioned the candidate as a "One-Man Army" rather than a strategic leader, and the advice was to pivot from "I built this" to "I directed the strategy that enabled this."

What the audit returned:

• Seniority Assessment: "Overqualified — Detected Level: Founding CTO / Principal Architect."
• Skills Audit: React, Node.js, Flask, Git, and C/C++ marked Remove (a Director hires people who write React; listing it signals an individual contributor). Data Governance marked Prove, because the resume mentions data privacy but never shows a governance framework.
• Action Plan: eight prioritized actions, each with a severity, category, and effort. The first was Critical but Low Effort: move Education to the bottom, because leading with a PhD reads as academic rather than executive.
• Bullet Rewrite Engine: each weak bullet with a critique and an improved version.

Original

Architected the end-to-end technical stack (LLMs, RAG, Vector DBs, AWS cloud infrastructure), delivering 20+ GenAI features while reducing operational costs by 65%…

Critique

This is a "Principal Engineer" bullet, not a Director bullet. It focuses heavily on the tools rather than the business capability built.

Improved

Directed the technical strategy and architecture for the GenAI platform, overseeing the delivery of 20+ features that reduced operational OpEx by 65% through infrastructure optimization.

The rewrite changes the framing, not the facts: the 20+ features and the 65% stay exactly as they were.

4Interview practice that scores you

ChatGPT's Voice mode is genuinely impressive: it listens and talks at the same time, and you can interrupt it like a real person. Ask it to play an interviewer and it will. What it won't do on its own is score each answer against the job, keep a record of your progress, or show you a stronger version of your answer.

Seekario's AI Interview Assistant builds questions from the job ad and your resume, including the awkward ones a real interviewer would spot. In one mock interview, it noticed the candidate had stayed in a previous role for only about a year before starting their own company, and asked them to explain the transition.

The candidate typed a quick, two-sentence answer about seeing an opportunity in generative AI. It scored 40%, Weak Answer. The feedback credited the clear motivation, then pointed out that the answer skipped half the question: it never addressed the previous role or why that chapter ended so quickly, which could leave an interviewer wondering. It suggested opening with a highlight from that role, then framing the move as a logical next step. Below that came an AI Recommended Answer, written from the candidate's own experience.

You can answer by typing or by voice, and choose Screening, Behavioural, Technical, or Case interviews. Every mock interview is saved by company and role, with a filter by interview type, bookmarks, how many questions you've practised (for example, 13 of 17), and your overall score.

5One place per job, so nothing gets lost

A long ChatGPT job search tends to sprawl across dozens of chats. Projects and memory help, but on the Free plan OpenAI lists memory and context as limited, so details from earlier applications can drop out of view.

In Seekario, every job gets its own card on a kanban board, and the card's Prepare tab holds everything for that application:

• Using resume: choose which of your resumes this job is assessed and tailored against.
• Why this score: the overall score and four sub-scores, with buttons to view the full report or re-assess after changes.
• Every tool for this job, each marked Ready or Not used, with its credit cost: Tailor Resume, Lite Tailor, Cover Letter, KSC Letter, Sample Resume, and Mock Interview.

Other tabs on the same card hold the job's important keywords, company information (rating, headquarters, industry, size, year founded, what employees rate highly, and common complaints), a salary estimate with its source, the application status timeline, contacts and outreach, AI follow-ups, interview details, and notes. A recommended-action banner suggests your next step, such as creating a mock interview once you're shortlisted. Job alerts tell you when new roles that may fit your profile are posted.

The Application Tracker is unlimited and free on every plan, forever.

6Tools built for one job each

You could try to recreate these in ChatGPT with enough prompting. In Seekario, they're ready to use:

On Seekario Casual, each tool shows its credit cost on the job card. A tailored resume (2 credits) plus a cover letter (1 credit) costs 3 credits, so 40 credits cover about 13 applications a month. A mock interview costs 5 credits. All AI tools are available on every paid plan; plans differ only in volume.

A realistic 3-month job search

Where ChatGPT is cheaper: at $0, and for unlimited use. Plus costs $60 over three months versus $79 for Seekario Active.

Already paying for Plus? Keep it for everything else. The question is whether a job search built around fit scores, guardrails, scored interviews, and tracking is worth $12 to $39 a month for the months you're searching. For most active job seekers, one extra interview answers that.