Conversational search • AI company lists • presets • reasoning-based shortlisting

Search with intent — not filters.

Describe the role in plain English. recruitRyte expands titles, skills, and companies automatically, then ranks candidates using reasoning-based screening questions — with clear “why” behind every score.

Start Searching AI for Companies Presets Reasoning Shortlist
Power move: type one anchor company (e.g., “Bank of America”) → click Similar Companies → refine by size/industry → screen + rank.
Try a search prompt Enter ↵
“Senior backend engineers — Java + Kafka” “Manufacturing process engineers — Lean / Six Sigma” “Enterprise account executives — B2B SaaS” “Growth marketing managers — B2B SaaS”
Why recruitRyte Search
Three superpowers: understand intent, build lists, and rank with reasoning

recruitRyte doesn’t just “find profiles.” It helps you shape the search (companies and education included) and then produces an explainable shortlist using screening questions.

💬

Conversational search

Write what you mean. We translate intent into a structured query and refine it with follow-up suggestions.

🏢

AI for Companies & Industries

Type one company or ask a question. We generate target company lists you can include/exclude instantly.

🧠

Reasoning-based shortlisting

We generate screening questions from your prompt/Job Description, evaluate every profile, score it, and rank the shortlist with “why.”

Built for anyone responsible for finding and shortlisting the right talent.

Less filter work. Less manual research. More confident shortlists.

AI for Companies / Industries
Build company lists the way recruiters think

Instead of manually hunting for competitors and “similar employers,” just type an anchor company (e.g., “Bank of America”) or ask a company question. recruitRyte generates the target list automatically — and you can Include or Exclude with one click.

Companies / Industries
Clear All ▦ Select Preset
Ask AI to generate a target list
IncludeExclude
Walmart × Dollar Tree × TJ Maxx & HomeGoods × Ross Dress for Less × Burlington × 7-Eleven ×
Anchor company → Similar Companies (auto)

Type one company to expand to similar employers instantly—no extra steps.

What makes this different

Traditional tools only let you pick from fixed dropdown lists. recruitRyte lets you express intent in natural language — then turns it into a usable Include/Exclude company list.

Competitor + adjacency targeting
Beyond filters
Example: “Bank of America” → similar banks/financial employers → refine by company size, domain, or industry.
✨ Great for exec search mapping
Ask any company question
AI list builder
Examples: “Top healthcare SaaS companies in the US”, “UK insurance brokers list”, “Fortune 500 retailers”, “companies known for low pay”.
✨ Saves hours of research
Preset Libraries
Start from curated universities — then refine with AI

recruitRyte includes ready-to-use presets for Companies and Education so you can jumpstart a search in one click. Use presets as a baseline, then expand with Similar or Ask AI to refine.

Company Presets
▦ Select Preset
B2B Startups
Databricks, Stripe + 18 companies
→ Apply
Growing Fintech
iCapital, Brex + 13 companies
→ Apply
SaaS
Salesforce, Adobe + 20 companies
→ Apply
Top Tech
Google, Amazon + 13 companies
→ Apply

Start with a preset, then use Similar Companies or Ask AI to expand and refine.

Education Presets + Graduation Years
▦ Select Preset Clear All
THE Global Top 100
Oxford, Stanford + 98 universities
→ Apply
Asia Top 50
Tsinghua, NUS + 48 universities
→ Apply
HBCUs
Morgan State, Alabama A&M + 96 universities
→ Apply

Combine school presets with graduation year ranges to target early-career, mid-career, or specific class-year cohorts.

Presets reduce setup time to seconds.

Select a university → refine with AI → generate a ranked shortlist with reasoning.

Reasoning-based shortlisting

We generate screening questions — then score every profile

recruitRyte converts your search text or job description into the most relevant screening questions. Then we evaluate each profile against those questions using an LLM, generate evidence-based answers, and produce a ranked shortlist. You can also add your own questions — especially the ones that don’t work in filters.

Example question set (from: “speech therapist casa grande az”) Evidence-based
Do you have experience creating and implementing individualized treatment plans?
Confirmed · 92%
Evidence: Mentions evaluation/treatment and plan execution across multiple client types (Summary/Experience).
✓ Evidence-based
Are you skilled in evaluating and treating speech, language, voice, and fluency disorders?
Confirmed · 95%
Evidence: Explicitly references treatment across disorder categories (Experience).
✓ Evidence-based
Does the profile explicitly state AZ licensure or CCC-SLP?
Not mentioned · 55%
Evidence: Licensure not explicitly listed. Candidate history may suggest it exists, but it’s not confirmed in the profile.
◻ Honest when unknown
Have you built and operated production services with Java in distributed systems?
Confirmed · 93%
Evidence: Mentions Java services in production, microservices/distributed architecture, and operational responsibilities.
✓ Evidence-based
Do you have Kafka or event-driven architecture experience (streams, consumers, producers)?
Confirmed · 90%
Evidence: Kafka listed in skills/projects with description of pub/sub, streaming, or event processing.
✓ Evidence-based
Is there evidence of operating at scale (high throughput, latency, traffic, volume metrics)?
Likely · 78%
Evidence: Mentions “high-volume” systems and reliability work; explicit metrics (TPS/latency) are not stated.
◻ Partial evidence
Have you led process improvement efforts that increased yield or throughput?
Confirmed · 91%
Evidence: Mentions yield improvement, cycle-time reduction, scrap reduction, or throughput gains in projects/experience.
✓ Evidence-based
Do you have Lean / Six Sigma experience (DMAIC, Kaizen, root cause analysis)?
Confirmed · 94%
Evidence: Lean/Six Sigma listed with examples of RCA tools (5 Whys, Fishbone) and improvement initiatives.
✓ Evidence-based
Is hands-on plant or shop-floor experience explicitly described?
Not mentioned · 60%
Evidence: Mentions manufacturing environment, but shop-floor responsibilities and shift/line ownership are not clearly stated.
◻ Honest when unknown
Have you sold B2B SaaS to enterprise accounts (Fortune 100 / large orgs)?
Confirmed · 92%
Evidence: Enterprise logos/segments mentioned; role history includes enterprise account ownership and deal cycles.
✓ Evidence-based
Do you have experience navigating multi-stakeholder buying committees (security, legal, finance)?
Likely · 80%
Evidence: Mentions complex sales cycles and cross-functional stakeholders; exact committee roles not explicitly listed.
◻ Partial evidence
Is there explicit evidence of quota attainment (numbers, % to target, ARR, revenue)?
Not mentioned · 58%
Evidence: Performance is described qualitatively; quotas/ARR metrics are not stated in the profile.
◻ Honest when unknown
Have you owned demand generation programs (paid search/social, email, lifecycle) for B2B SaaS?
Confirmed · 93%
Evidence: Paid channels + lifecycle/email ownership listed with campaign/program examples.
✓ Evidence-based
Is there evidence of pipeline or revenue impact (SQLs, pipeline $, CAC, ROAS)?
Likely · 79%
Evidence: Mentions pipeline contribution and conversion improvements; explicit dollar values are not stated.
◻ Partial evidence
Do you have hands-on experimentation & measurement (A/B tests, attribution, analytics)?
Confirmed · 90%
Evidence: Mentions A/B testing, reporting dashboards, attribution/analytics tools, and iteration cycles.
✓ Evidence-based
Explainable scores increase trust
Each score shows what was confirmed vs not mentioned — so recruiters and hiring managers can verify quickly.
Try Smart Screening
Add your own screening questions (beyond filters) Beyond filters

Recruiters often need judgment-based screening. Add questions like:

Worked in school-based settings (IEPs)? Pediatric caseload experience? AAC experience? Bilingual (Spanish) mentioned? Evidence of high-volume caseload?
On-call / incident response experience? Owned production services end-to-end? Evidence of scale (TPS/latency/traffic)? Event-driven systems beyond “used Kafka”? Mentions performance tuning?
Hands-on line / plant ownership? Experience reducing scrap or defects? Root cause analysis tools used? Implemented Kaizen / continuous improvement? Worked with operators cross-functionally?
Quota attainment stated? Sold to security/legal/procurement? Led multi-threaded enterprise deals? Built pipeline from outbound? Renewals / expansions experience?
Owned paid channels budgets? Pipeline impact quantified? Experimentation & A/B testing? Hands-on analytics/attribution? Lifecycle/nurture program ownership?
What happens after evaluation?
Ranked shortlist
Profiles are scored per question, aggregated into a fit score, and ranked. This turns a search result set into a hire-ready shortlist.
🧠 Search → decision
Ready to try it on a real role?
Run one search, add questions, then screen and rank in minutes.
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