# Perplexity Chat Canonical page: https://fuser.studio/models/perplexity-chat Perplexity Chat in Fuser runs sonar, sonar-pro and sonar-reasoning-pro: answers from live web search with numbered sources, for briefs, prompts and shot lists. ## Specs | Spec | Value | | --- | --- | | Versions | sonar, sonar-pro, sonar-reasoning-pro | | Inputs | Prompt (text), System Prompt (text) | | Output | text | Live-web research with numbered citations, so your moodboard, script or campaign starts from what is true this week Creator: Perplexity AI [Start the research](https://app.fuser.studio) ## How Perplexity Chat works Brief the analyst, scope one sharp question, choose how deep to dig. The answer arrives as a compact, cited block you can drop into the next node. ### Set the analyst's role Use the system prompt to define a design researcher, the output format, and rules like name sources inline and flag uncertainty. ### Scope the question Write the prompt like a brief: a verb, a niche, a timeframe, and the shape you want back, such as five bullets or a hex palette. ### Pick a tier and pipe it on Choose sonar, sonar-pro or sonar-reasoning-pro, then send the cited answer to the next node on your canvas. ## What Perplexity Chat is good at Fresh facts, traceable sources and structured shapes. It is the research layer that tells you what is true before anything gets generated. ### Weak-signal trend scouting Ask what is gaining traction in a niche over the past 6 months or 30 days and get compact, recency-aware answers with citation markers. A hunch becomes a moodboard-ready list of themes. ### Citation-ready competitor teardowns Compare brand identity, tone and recent campaigns across rivals in a structured table. Every row points back to a source you can check before it reaches a client deck. ### Three tiers of depth Use sonar for fast fact checks, sonar-pro for wider sourcing across a competitive landscape, and sonar-reasoning-pro when sources conflict and you need a weighed synthesis. Cap reply length to keep reasoning output tight. ### Reference images, grounded context Attach a reference image and pair it with a specific question about what to look up. It identifies and contextualizes the subject, then adds live web research around it. Use a vision-focused model for deep compositional critique. ## Made with Perplexity Chat Every example here is a research job: trend lists, tone teardowns, reference shot lists and tags, each written to be pasted into a brief or a prompt. ### Trend scouting condensed into an art direction note ### Sourced stats and tone notes for brand copy ### Research first, then image prompts for the canvas ### A shot list built from reported production facts ### Literal image description with web-backed tags ## What people build with Perplexity Chat Art directors, copywriters, filmmakers and archivists reach for it when the work depends on things that are current and checkable, and the final voice belongs to someone else. ### Art directors building moodboards Scout what is rising in a niche this month, gather named reference brands and campaigns, and walk into the moodboard with a cited brief instead of a hunch. ### Copywriters needing fact-checked briefs Pull key stats, claims and recent campaign context with sources attached, then hand the brief to a voicier writer or model. It supplies the facts and leaves the flair to the final author. ### Canvas builders writing better prompts Research the period, material or movement before you generate. Ask for descriptions grounded in real references, then pipe them to a stylistic model that turns them into polished image or video prompts. ### Filmmakers prepping reference shot lists Check period details, locations and reported production choices before breaking a scene down. Get a cited reference list that keeps the storyboard honest. ### Librarians tagging visual archives Attach an image and get a literal description, alt text and tags tied to the movement or era it belongs to, with web context cited for review. ## Perplexity Chat questions ### What is Perplexity Chat best at? It is best at web-grounded research: trend and competitor briefs, fact-checking claims before you script them, cited reference digging for moodboards, and current-events context for campaign copy. It runs on Perplexity AI's Sonar family, which retrieves live web pages and answers with numbered citations. ### Does it show where its answers come from? Yes. Sonar answers from a live web search and usually returns numbered citations with their source URLs. The numbers in the text don't always match the order of the source list, so open the sources that matter before a fact goes into a client brief. ### Can I attach reference images? Yes. Attach a still and it describes what is literally in the frame, then adds web-sourced context such as the place, period or tradition it belongs to, with citations you can check. ### Which Sonar tier should I use? Match the tier to the question. **sonar** suits quick, cheap lookups. **sonar-pro** adds wider source coverage for multi-part research and competitive landscapes. **sonar-reasoning-pro** handles the hardest synthesis and conflicting sources, with slower, longer replies that may show its thinking. ### Why do my answers include [1] markers or thinking text? Numbered markers like [1][2] point to the sources behind each claim, and sonar-reasoning-pro can prepend a block before its answer. Both may need stripping before the text moves downstream. It can also paraphrase a source too confidently, so verify the claims that matter. ### Why might the same question give a different answer later? Answers come from a live web search, so they shift as sources change, and a source can occasionally be mis-summarised. Rerun the question when you need current figures, and open the citations that matter before a fact goes into a client brief. ## Try Perplexity Chat on Fuser Live-web research with numbered citations, so your moodboard, script or campaign starts from what is true this week [Start the research](https://app.fuser.studio) ## Related models - [OpenRouter Chat](https://fuser.studio/models/openrouter-chat.md) - [ChatGPT](https://fuser.studio/models/chatgpt.md) - [Google Gemini Chat](https://fuser.studio/models/google-gemini-chat.md) - [Groq Chat](https://fuser.studio/models/groq-chat.md) - [Mistral Chat](https://fuser.studio/models/mistral-chat.md) - [Claude Chat](https://fuser.studio/models/claude-chat.md) Node reference: [Perplexity Chat docs](https://docs.fuser.studio/docs/nodes/llm/perplexity-chat.md)