Windows App 
MacOS (sillicon) How Barie researches your product positioning, writes the explainer script, and generates the video — research to finished video, one prompt
Barie researches your product’s competitive positioning from live sources, identifies the highest-impact selling points based on what your market actually cares about, writes a concise explainer script built around those points, and generates the video using Barie’s AI video creation feature. Research, script, and finished video in a single session.
Why product explainer videos are slow to produce and quickly outdated
A product marketer commissions an explainer video for a new feature. She briefs the agency with the product messaging doc written six months ago. The agency produces a script based on that brief. By the time the video is delivered four weeks later, two competitors have launched similar features and the competitive differentiation angle in the script is weaker than it was at the brief stage. The video is correct at the time of the brief and outdated at the time of delivery.
The problem is the gap between brief and delivery, and the brief being based on static internal positioning documents rather than live competitive intelligence. A product positioning brief written against the competitor landscape as it stands today produces materially different content than one written against the landscape six months ago. Barie researches the current positioning environment before writing the first line of the script.
Barie writes the script from what the market currently cares about, not from a positioning doc written last quarter: Deep Research analyses your category’s current SERP patterns to identify the buyer pain points and decision criteria that are generating the highest organic search intent right now. The script is structured around those findings, not around the internal messaging framework from the last product review cycle.
Your prompt
Task prompt
“Create a product explainer video, research the key selling points, write the script, and generate the video.”
1
Connectors Activated
Step 1: Connectors activated — each retrieving the specific data type that drives accuracy
Barie Research Stack · Live
Parallel execution
Deep Research
Analyses your product category’s current top-ranking content, review platform discussions, and analyst coverage to identify the buyer pain points, decision criteria, and competing solution shortfalls that are generating the most engagement right now. The selling points that feature prominently in the script are the ones the market is actively seeking solutions for, not the ones the product team considers most technically impressive.
Market pain points · criteria
Firecrawl
Crawls the current positioning and product pages of the top 3 competitors to identify how they are framing their value proposition. The explainer script is written to occupy the specific positioning gap that the competitor analysis identifies — the angle that resonates with buyers and is not already being claimed loudly in the category.
Competitor positioning · gap
Video Generation
Barie’s AI video creation feature generates the explainer video from the finalised script. The video is produced with voiceover, scene transitions, and on-screen text elements timed to the script segments. Output format options include MP4 for direct publishing, WebM for web embedding, and individual scene stills for use as slides or thumbnails.
AI video generation · MP4
Web Research
Retrieves recent customer review content on G2, Capterra, and relevant Reddit communities for your product category. Customer review language reveals the exact words buyers use to describe their pain points — language that should appear in the script verbatim, not paraphrased into product marketing vocabulary. Reviews are also the fastest source of the objections the video should pre-empt.
Review language · objections
2
Analysis and Results
Step 2: The analysis — structured findings with source links for every data point
3
Research phases before script is
written
written
90
Second target video length —
optimised for attention
optimised for attention
4
Competitor positioning angles
analysed
analysed
1
Finished MP4 video delivered in
session
session
Generated script outline — 90 seconds, 4 scenes
Scene 1 (0:00 – 0:18) — The pain
“Your support team is buried. Tickets pile up faster than agents can close them, customers wait longer, satisfaction scores drop, and the team burns out — not because they aren’t good, but because the tools are working against them.”
Scene 2 (0:18 – 0:45) — The contrast
“What if 60% of those tickets never needed a human response? [Product] resolves routine requests automatically, routes complex issues to the right agent instantly, and learns from every interaction to get faster over time.”
Scene 3 (0:45 – 1:12) — Evidence
“Teams using [Product] deflect 58% of tickets in the first 30 days. Average handle time drops by 40%. CSAT scores go up — because when customers do reach a human, that human has full context and time to help properly.”
Scene 4 (1:12 – 1:30) — CTA
“See [Product] in action. Start your free trial and have your first automation running today.”
The video is generated from this script in the same session: Barie’s AI video creation feature produces the 90-second MP4 with voiceover, visual transitions, and on-screen text timed to each scene. The video is downloadable immediately. No agency brief, no turnaround time, no revision cycle.
3
Delivered to Your Tools
Step 3: Results delivered to your workflow tools
File Download
MP4 video file plus script document and individual scene stills downloadable immediately.
Notion
Full research brief with competitive positioning analysis, selling point rationale, and script with scene notes.
Google Drive
Video file and supporting assets uploaded to your specified Drive folder for team review and access.
Slack
Marketing team notification with the video preview link and script attached for review and approval.
Google Slides
Scene stills exported as slides for use in sales decks and onboarding presentations.
Gmail
Internal distribution email drafted with the video embed link and script summary for stakeholder review.
HubSpot
Video asset record created in your marketing hub with metadata and distribution tracking configured.
Asana
Video review and approval task created with the video file attached and reviewers assigned.
The Verdict
The product explainer video produced from a brief written six months ago is selling against a competitive landscape that has changed. Barie reads the current competitor positioning pages before writing the first line of the script. The selling points in the video reflect what the market is searching for right now, the positioning gap the competitor analysis reveals, and the language customers are using in reviews today. The script is written from research, not from last quarter’s internal messaging doc. And the video is generated in the same session, not delivered four weeks after the brief.
Barie features used in this task
Feature
ChatGPT
Perplexity
Barie
Live Competitive Positioning Research — Current competitor pages crawled before the script is written — not last quarter’s internal positioning doc
✗
✗
✓
Script Built from Market Data — Selling points derived from current SERP intent, competitor gaps, and live customer review language
✗
✗
✓
AI Video Generation — Finished 90-second MP4 with voiceover and transitions generated in the same session as the research
✗
✗
✓
