How the AI Readiness Score works

What the score uses

The assessment reviews user-provided material. Depending on the path you choose, this can include:

• Resume or CV uploads
• Uploaded profile text, such as a profile export or PDF
• Pasted profile text, including LinkedIn profile text you paste yourself
• Questionnaire answers
• User-provided context, such as goals, target roles, constraints, and background notes

We do not scrape LinkedIn URLs for the assessment. The product only analyzes profile content that you paste or upload.

What the score is trying to measure

The score looks for signals that your profile can survive a more AI-shaped job market: concrete skills, applied work, role clarity, communication evidence, and gaps that may need stronger proof.

A higher score means the submitted evidence is clearer and more complete for the target direction. A lower score usually means the profile needs sharper positioning, more applied proof, or a more realistic next-step role.

What the score does not predict

The AI Readiness Score does not predict employment, salary, or offer probability. It is not a guarantee that you will get a job, receive interviews, earn a particular salary, or land an offer.

Salary ranges, role paths, and timelines in paid reports are estimates for planning. They should not be treated as financial advice, compensation promises, or outcome guarantees.

Model providers

Some assessment features use third-party AI providers to generate outputs from submitted content. The current supported providers are OpenAI and Google Gemini. The provider used may vary by configuration, feature, and availability.

We do not allow AI providers to train on your submitted content except as required to provide their services to us under their business terms. See the Privacy Policy for the current processor list.

How to interpret limitations

The score is only as good as the material submitted. A short, outdated, or generic resume may produce a weaker result than a complete profile with projects, metrics, responsibilities, and clear goals.

The score should be read as a planning aid, not a labor-market forecast. Use it to decide what to clarify, what evidence to add, and which next steps are worth testing in the real job market.