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Chrome extension

The prompt enhancer for Perplexity

Perplexity answers from sources — so the query decides everything: which sources get retrieved, how the answer is scoped, and whether you get analysis or a listicle summary. The PromptAI Chrome extension turns your vague question into a scoped research query in one click, inside perplexity.ai.

Free to try, no account required for the demo. The extension also covers ChatGPT, Claude, Gemini, and Copilot with the same install.

Live generator — free, no login

Same engine as the Perplexity integration — try it right here, then install it where you work.

What is a Perplexity prompt enhancer?

A Perplexity prompt enhancer rewrites your question into a scoped research query before Perplexity runs its search. Where a ChatGPT prompt shapes how a model writes, a Perplexity prompt does double duty: it also shapes what gets retrieved. The enhancer adds the dimensions to compare, the constraints on sources and recency, and the output format — the difference between Perplexity synthesizing an answer and summarizing whatever ranked first.

PromptAI runs as a Chrome extension inside perplexity.ai. Type your question the way it comes to mind, click enhance, and the structured query replaces your draft in place — for regular searches, Pro searches, and Deep Research briefs alike.

The payoff is largest on comparison and evaluation questions. "Best project management tool" retrieves listicles. A scoped query naming your team size, budget ceiling, must-have integrations, and a table format retrieves pricing pages and reviews — and forces the answer into a shape you can act on.

Where it helps

Every kind of Perplexity search

Scoped queries improve retrieval and synthesis across all of Perplexity's modes.

Quick searches

Even one-shot questions benefit from a scope line and format constraint — you get a direct answer with the right sources instead of a summary of the top result.

Deep Research

Deep Research runs for minutes and reads dozens of sources. An enhanced brief with explicit dimensions and exclusions is the difference between a usable report and an expensive wander.

Comparisons and evaluations

Buying decisions, tool choices, vendor research. Enhanced queries name the candidates, the criteria, and the table format — pulling comparison-grade sources instead of listicles.

Technical questions

Scoping by version, stack, and date keeps Perplexity from blending outdated tutorials into current answers — a constraint most people forget to type and the enhancer adds by default.

Real examples

Before and after: real Perplexity prompts

Buying research

same idea, one click later

Before

best password manager for teams

After

You are a security-conscious IT lead evaluating password managers for a 20-person company. Compare the top 4 team password managers on: price per seat, SSO support, breach history and response, admin controls, and browser/mobile coverage. Output format: comparison table, then a 3-bullet recommendation. Constraints: prioritize sources from the last 12 months, cite each vendor's actual pricing page, and flag any vendor with a disclosed breach in the last 3 years.

Deep Research brief

Before

research the creator economy

After

You are a market analyst preparing a briefing on the creator economy for a SaaS founder considering building creator tools. Cover: current market size with source and methodology noted, the 3 fastest-growing creator segments, how creators actually earn (ranked revenue streams with percentages where available), the top pain points creators report, and 3 underserved tool categories. Output: a structured report with a section per topic, each ending in a one-line 'so what' for a tool builder. Prioritize 2025-2026 sources; flag any figure older than 2024.

Technical question

Before

how do i speed up my postgres queries

After

You are a database performance engineer. My situation: Postgres 16, a 10M-row table, and dashboard queries with multi-second latency on filtered aggregates. Explain the diagnosis path in order: how to read EXPLAIN ANALYZE for this case, which index types fit filtered aggregates (partial, covering, BRIN) and when, and when materialized views beat indexes. Output format: numbered diagnosis steps, then a decision table of index type versus query pattern. Constraints: Postgres 15+ only, cite official docs or reputable engineering blogs, skip generic 'add an index' advice.

How to use it

Set up in under a minute

01

Install the extension

Add PromptAI to Chrome from the Web Store. Free to install, first enhancement needs no account.

02

Ask the question naturally

Type it into perplexity.ai the way it comes to mind — the enhancer does the scoping, not you.

03

Enhance, then search

One click restructures your question in place: scope, criteria, source constraints, output format. Then run the search.

Questions.

A tool that rewrites your question into a scoped research query before Perplexity runs its search — adding comparison dimensions, source and recency constraints, and an output format. PromptAI does this in one click via a Chrome extension button inside perplexity.ai.

Related reading

Try it on your next Perplexity prompt

Free to try, no account required for the demo. The extension also covers ChatGPT, Claude, Gemini, and Copilot with the same install.