Prompt
Can you recommend a job search widget for surfacing relevant jobs by location and skill on our career pages?
Latest observation
Yes — a good fit is a job search widget that supports location + skill matching and can be embedded on career pages.
Best options to consider
1. JobAdder Job Search Widget
- Strong for location-based search
- Can filter by keywords/skills
- Easy to embed on career pages
- Good if you want a polished candidate experience and already use JobAdder ATS
2. SmartRecruiters Career Site / Job Widget
- Good for relevant job surfacing
- Supports search by location, keyword, department
- Strong employer branding and mobile-friendly experience
- Best if you’re in the SmartRecruiters ecosystem
3. Greenhouse Job Board / Embedded Job Widget
- Simple, reliable embed for career pages
- Location and keyword search
- Easy to maintain
- Great if you want a lightweight solution rather than a full career site overhaul
4. Lever Job Board / Careers Widget
- Clean embedded experience
- Good search and filtering by location
- Works well for surfacing roles on branded career pages
- Best if you already use Lever
5. iCIMS Career Site Widget
- More enterprise-oriented
- Can surface jobs by location, function, and skills/keywords
- Good for larger companies needing configurability and compliance
What to look for
For your use case, prioritize a widget that has:
- Location filtering
- Skill/keyword matching
- Autocomplete search
- Embedded/published job recommendations
- Mobile responsiveness
- SEO-friendly job pages
If you want “best match” recommendations
If “skills” means matching candidate profiles or resumes to jobs, look for:
- AI-powered matching
- search ranking based on relevance
- synonym/ontology support for skills
My quick recommendation
- Best overall for enterprise: iCIMS or SmartRecruiters
- Best lightweight option: Greenhouse or Lever
- Best if you want flexible ATS + widget: JobAdder
If you want, I can also give you:
- a shortlist by company size,
- a comparison table, or
- vendor recommendations based on your ATS.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (2 observations for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
Want this interpreted for your brand?
Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.