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Result Components

When you search on JobLeap, you receive two main types of information:

AI-Generated Answer

A summary response to your question with insights, analysis, and numbered citations

Job Cards

Individual job listings with detailed information about each opportunity

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AI-Generated Answers

The AI answer appears at the top of your results and includes several components:

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Summary Answer

A direct response to your query that synthesizes information from multiple sources:
Example
Based on current listings, there are approximately 50 data analyst positions
in Texas, with salaries ranging from $65,000 to $120,000. [1] Most roles
require SQL and Excel proficiency, while about 40% also request Python or R
skills. [2] The Austin and Dallas markets are particularly active, with
several healthcare and tech companies actively hiring. [3]

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Key Insights

Important patterns or trends related to your search:
  • Market demand: How competitive or available positions are
  • Salary trends: Typical compensation ranges
  • Skill requirements: Most commonly requested qualifications
  • Geographic patterns: Where opportunities are concentrated
  • Company types: Industries or organizations actively hiring

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Numbered Citations

Every claim includes references like [1], [2], [3]:
  • Each number corresponds to a specific source
  • Click any citation to view the original reference
  • Sources include company pages, salary databases, industry reports, and job boards
  • Citations ensure all information is verifiable and transparent

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Suggested Follow-Ups

JobLeap often suggests related questions to refine your search: 
- "What about remote positions only?"
- "Which companies offer the best benefits?"
- "How do these salaries compare to California?"
- "What skills should I highlight on my resume?"
Click on suggested follow-ups or type your own questions. JobLeap remembers the context of your conversation.

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Job Cards

Each job listing appears as a card showing key information:

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Card Structure

1

Job Title

The official position name, often with seniority level:
  • “Senior Data Analyst”
  • “Machine Learning Engineer II”
  • “Product Manager - AI/ML”
2

Company Information

Employer name and sometimes logo, size, or industry:
  • Company name (clickable for company profile)
  • Company size (Startup, Mid-size, Enterprise)
  • Industry sector
3

Location Details

Work arrangement and geographic location:
  • Remote: Work from anywhere
  • On-site: Specific office location
  • Hybrid: Mix of remote and in-office
  • Geographic restrictions (e.g., “US-based only”)
4

Key Requirements

Essential skills and qualifications:
  • Required programming languages or tools
  • Years of experience needed
  • Educational requirements
  • Specific certifications or expertise
5

Salary Range (when available)

Compensation information from the source:
  • Base salary range
  • Total compensation (when specified)
  • Equity or bonus details
  • “Competitive salary” if not disclosed
6

Source Link

Direct link to apply on the original job posting:
  • Apply button linking to company site
  • Original posting date
  • Application deadline (if specified)

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Reading Job Cards

When salary is shown:
  • Range reflects what’s published in the original posting
  • May include base salary, total comp, or both
  • Sometimes shows hourly rate for contract positions
When salary says “Competitive”:
  • Employer didn’t disclose compensation
  • Use JobLeap’s salary intelligence to research typical pay
  • Consider asking about range during initial recruiter call
How to interpret:
  • “0-2 years” = Entry-level or junior
  • “3-5 years” = Mid-level
  • “5-7 years” = Senior
  • “7+ years” = Staff/Principal/Lead
  • “No experience required” = True entry-level
Important note: Experience requirements are often flexible. If you have 80% of qualifications, still consider applying.
Remote:
  • Check if there are geographic restrictions
  • Some “remote” jobs require periodic travel
  • Time zone requirements may apply
Hybrid:
  • Note how many days in-office are required
  • Check office location for commute planning
  • Flexibility may be negotiable
On-site:
  • Full-time office presence expected
  • Location is usually non-negotiable
  • Consider relocation options if offered
Job cards show key requirements, but the full posting may distinguish:Required (must-have):
  • Essential for consideration
  • Usually non-negotiable
  • Focus on these in your application
Preferred (nice-to-have):
  • Beneficial but not mandatory
  • Can be learned on the job
  • Don’t let these stop you from applying

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Interpreting Search Results

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Result Ordering

Jobs appear based on relevance to your query:
1

Keyword Matching

How well the job matches your search terms
2

Recency

Newer postings are generally prioritized
3

Completeness

Jobs with more detailed information rank higher
4

Source Quality

Direct company postings may outrank aggregated listings
JobLeap doesn’t use sponsored placement. Results are purely organic based on relevance and quality.

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Number of Results

Understanding what result counts mean:
  • 0-5 results: Very specific criteria; consider broadening search
  • 5-20 results: Well-targeted search with manageable options
  • 20-50 results: Good variety; use follow-ups to narrow
  • 50+ results: Consider adding filters to focus your search

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Result Diversity

JobLeap aims to show variety:
  • Different companies (not all from one employer)
  • Range of seniority levels (if you didn’t specify)
  • Mix of company sizes (startups to enterprises)
  • Various locations (if you didn’t restrict geography)

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Using Citations Effectively

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Why Citations Matter

Verify Accuracy

Check that AI claims match source material

Deep Research

Explore sources for additional context

Stay Current

Verify information is still up-to-date

Build Trust

Understand where information comes from

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When to Click Citations

Always verify salary data, especially for negotiation:
  • Check the date of salary surveys
  • Understand if it’s base or total comp
  • Note geographic or experience qualifiers
Research deeper when considering applying:
  • Read full employee reviews
  • Understand company growth trajectory
  • Verify diversity and culture claims
Verify what skills are actually needed:
  • See full job descriptions
  • Distinguish required vs. preferred
  • Understand skill context and usage

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Common Result Scenarios

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”No results found”

If you get no results:
1

Broaden your search

  • Remove strict filters (salary, location, skills)
  • Try alternative job titles
  • Expand geographic area
2

Check spelling

  • Verify technical terms and company names
  • Try synonyms or related terms
3

Adjust expectations

  • Combination of criteria might be too specific
  • Market may not have what you’re looking for

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”Too many results”

If you’re overwhelmed with results:
1

Add specific requirements

  • Include salary expectations
  • Specify location preferences
  • Mention required skills or experience
2

Use follow-up questions

  • “Show me only senior-level positions”
  • “Which of these are fully remote?”
  • “Filter for companies with under 100 employees”
3

Sort by priority

  • Ask “Which of these pay the most?”
  • “Show me the most recent postings first”
  • “Which companies have the best reviews?”

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Outdated Information

If a result seems old:
Job postings include dates, but some listings may be outdated:
  • Click through to the source to verify availability
  • Check the company’s career page directly
  • Report outdated listings using the feedback button
  • Focus on jobs posted within the last 30 days

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Next Steps with Results

Once you understand your results:

Refine Your Search

Use follow-up questions to narrow or expand results

Research Companies

Deep dive into employers before applying

Check Salaries

Verify compensation is competitive

Optimize Resume

Extract keywords and tailor your application
Pro tip: Bookmark interesting jobs and track which companies keep appearing in your searches. Patterns can reveal the best opportunities in your field.
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