Sourced AI search: Pro Search, Spaces, citation verification, focus modes.
Before starting, we run a 1-minute tech check — microphone, ambient noise, connection. If your setup isn't good enough, the test is fully refunded.
Show the world you actually know how to use Perplexity AI — Pro Search, Spaces, citation verification, focus modes — with a 15-minute AI-evaluated oral exam.
The Plume Perplexity AI badge validates your ability to use Perplexity far beyond casual web search: running Pro Search for real-time multi-source investigations, building Spaces with custom system instructions and attached files, picking the right focus mode (Academic, Writing, Reddit, YouTube, Social) for each task, and rigorously verifying citations so you don't get burned by hallucinations. A 15-minute oral exam conducted by an AI examiner (OpenAI Realtime) probes your actual hands-on usage, your reasoning process, and your source validation habits — not just surface-level awareness.
Unlike a self-declared LinkedIn skill, this badge is grounded in a recorded oral conversation analyzed by Claude Opus, which scores five weighted dimensions: depth of feature usage, citation verification rigor, workflow integration, critical judgment about the tool's limits, and awareness of how Perplexity stacks up against ChatGPT Search, Google AI Overviews, and Deep Research. You get a 0-100 score, a proficiency level, and a timestamped badge — concrete proof that you know what you're doing inside Perplexity.
This badge is built for professionals who rely on Perplexity in high-stakes contexts: journalists and fact-checkers who depend on sourced citations, analysts building competitive intelligence pipelines, content managers combining Writing mode with Spaces for source-anchored content, researchers using Academic mode as a literature discovery tool, and developers integrating the Perplexity API into their stacks. If Perplexity is already part of your daily workflow, this is your chance to make that visible.
Here are the concrete dimensions the AI examines during the 15-minute oral.
Crafting multi-step queries that unlock Pro Search's iterative research loop, comparing its output to a standard web search, and knowing when the extra depth is worth the added latency.
Setting up Spaces with precise system instructions, relevant attached files, and behavioral rules tailored to a project or team — turning Perplexity into a persistent, context-aware research environment.
Cross-checking source URLs, spotting hallucinated or miscited references, and applying a consistent verification protocol before using any Perplexity output in professional or published work.
Choosing intentionally between Academic, Writing, Reddit, YouTube, Social, and Wolfram Alpha modes based on the query type — and articulating which modes are genuinely useful versus overhyped.
Positioning Perplexity precisely within a broader tool chain alongside Notion, ChatGPT, Claude, or research tools — knowing when it leads the chain, when it supports it, and when to swap it out entirely.
Identifying the query types and contexts where Perplexity is the wrong tool — confidential data, deep reasoning tasks, long-form creative work — and explaining the tradeoffs clearly with lived examples.
Understanding how Perplexity's feature set and model routing compare to ChatGPT Search, Google AI Overviews, Comet, and Deep Research, and making informed choices between them based on the task at hand.
Final scoring is performed by Claude (Anthropic), which reads back the full transcript and applies this weighted criteria grid.
Does the candidate genuinely use Pro Search, Spaces, focus modes, and advanced settings — or are they stuck at the basic search bar? Depth of practical experience is the primary differentiator.
Does the candidate have concrete, systematic methods for validating Perplexity's citations, catching hallucinations, and making a clear judgment call on answer reliability before acting on it?
Can the candidate explain exactly where Perplexity sits in their tool chain, with specific examples of multi-tool combinations and measurable productivity gains from the integration?
Does the candidate clearly identify the contexts where Perplexity falls short, and can they argue their choice of alternatives with concrete, first-hand examples rather than generic statements?
Is the candidate up to date on recent Perplexity developments — Comet, Deep Research, new integrations — and the competitive landscape including ChatGPT Search and Google AI Overviews?
A Plume session takes about 20 minutes, from tech check to badge delivery.
Mic and connection test. The AI examiner confirms audio quality is good and that you're in a quiet environment before the session begins. Takes less than a minute.
You introduce yourself briefly and describe your most recent or most advanced Perplexity use case: what you were trying to accomplish, what made you reach for Perplexity over a search engine or another AI tool.
The AI examiner probes your real usage across Pro Search, Spaces, focus modes, citation verification, and workflow integration. Questions adapt dynamically to your answers — following up where your expertise is richest, or pushing back where claims feel surface-level.
You share your honest take on Perplexity's real limitations, the query types where you reach for something else, and how you think it compares to ChatGPT Search or Google AI Overviews today.
Claude Opus reads the full transcript, produces a 0-100 score, assigns a proficiency level (Novice to Expert), and generates a detailed dimension-by-dimension report. Your badge is live on your Plume profile and shareable via a single link.
Your score out of 100 translates into a level a recruiter can grasp at a glance.
You use Perplexity as a slightly smarter search engine for one-off questions. You haven't explored Pro Search, haven't built a Space, and don't have a consistent habit of verifying citations before using them. You're aware of focus modes but don't pick between them deliberately.
You regularly activate Pro Search for more complex research tasks, experiment with focus modes depending on the context, and have started checking sources on claims that matter. You can see where Perplexity fits in your workflow, but your Spaces usage is minimal or unexplored.
You configure Spaces with system instructions and attached files for recurring projects, select focus modes with clear intent, and apply a consistent citation verification protocol. Perplexity has a defined, productive place in a multi-tool workflow with measurable time savings.
You use Perplexity at full depth: multi-user Spaces, Deep Research, API integration, and constant arbitrage between Perplexity, ChatGPT Search, and Google AI Overviews based on the task. You have sharp opinions on its limitations and adapt your usage as new features ship.
No degree or years of experience required to take the badge. Here are the profiles it makes the most sense for.
Perplexity's sourced answers make it a natural fact-checking tool. An Expert badge signals that you use it with the source verification discipline that professional journalism demands — and that you know when not to trust it.
Competitive and market research is one of Perplexity's strongest use cases. The badge proves you can build structured, sourced intelligence workflows around it — not just ad hoc searches — and deliver client-ready outputs.
Academic mode and citation verification make Perplexity a compelling literature discovery tool. The badge demonstrates you use it with the methodological rigor expected in academic work, not as a shortcut that skips source validation.
Combining Writing mode with Spaces to produce source-anchored content at scale is a real differentiator. The badge shows you have an editorial method behind your Perplexity usage, not just a tab you open occasionally.
If you're integrating the Perplexity API or benchmarking it against other search-augmented LLMs for your product stack, this badge validates that your understanding of its capabilities and constraints goes beyond the marketing page.
Where and how your Perplexity AI badge will help you day to day.
A strategy consultant sets up a dedicated Perplexity Space with synthesis instructions to track competitor funding rounds and product launches. Every weekly Pro Search query automatically follows the same deliverable format, saving two hours of reformatting.
A PhD student in sociology switches to Academic focus mode to surface peer-reviewed sources on their thesis topic. They cross-check every citation URL before adding it to their bibliography — a habit built after catching two hallucinated paper titles early in their research.
A journalist uses Perplexity to verify a specific statistic cited in a press release. The citation turns out to be partially hallucinated. They trace back to the primary source, correct the figure, and document the verification method for the rest of their team.
A content manager creates a Space loaded with their editorial guidelines and priority topics. They use Writing mode to generate article angles backed by fresh sources, then export the output directly into Notion for the editorial team to develop further.
A candidate applying for an AI Research Lead position shares their Perplexity Advanced badge on their LinkedIn profile. The hiring manager clicks through, listens to a short audio excerpt, and sees exactly how the candidate thinks about source verification and tool selection — in their own words.
A Product Manager compares Perplexity Deep Research, ChatGPT Search, and Google AI Overviews on a specific client use case. They document their evaluation criteria and findings in a shared Space so the entire product team can reference the same benchmark.
A few minutes to check you have everything you need.
At the end of your session you don't just get a score — here's everything that awaits you.
You get a precise score and a proficiency level (Novice to Expert) that reflects your real command of Perplexity AI — from Pro Search to Spaces — assessed by Claude Opus on the full transcript of your oral.
A structured report breaks down your strengths and growth areas across each evaluated dimension: feature usage depth, source rigor, workflow integration, critical judgment, and tool evolution awareness.
Your 15-minute oral recording is stored securely and accessible only to you. You decide whether to share it with a recruiter or keep it private — it's yours.
Your Perplexity AI badge lives on your Plume profile with a unique URL you can drop on LinkedIn, in your resume, or send directly to a hiring manager. It shows your score, level, and exam date at a glance.
Discover related skills you can validate with Plume.
A 15-min oral exam with an AI, a shareable badge for your recruiters.
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