Step 1: Your Brief Becomes a Smart Query
You tell us what you’re looking for—whether it’s brand perception, emerging trends, or consumer sentiment. Our system converts your brief into query parameters:
Keywords – What to look for (e.g., "plant-based snacks").
Sources – Where to look (e.g., Instagram, Reddit, Amazon reviews).
Filters – How to refine the data (e.g., age, location, time frame).
Step 2: The Scraper Finds Relevant Data
Our AI scans the internet based on your selected sources, pulling in data that matters. Here’s how it works:
What We Scrape & What We Get
Social Media (Instagram, Twitter, Reddit, Facebook, YouTube, etc.)
- What We Extract: Public posts, comments, replies, engagement metrics (likes, shares, upvotes).
Why It Matters: Tracks real-time conversations, sentiment shifts, and consumer reactions.
E-commerce & Review Platforms (Amazon, G2, Glassdoor, Google Reviews, etc.)
What We Extract: Star ratings, product/service reviews, purchase triggers, common complaints.
Why It Matters: Understands consumer sentiment and product-market fit.
News & Blogs (Publisher websites, industry blogs, forums, etc.)
What We Extract: Articles, opinion pieces, brand mentions, domain authority ranking.
Why It Matters: Helps analyze media coverage, competitive landscape, and emerging trends.
Search Trends & Pricing Data (Google Trends, e-commerce platforms, etc.)
What We Extract: Search volume, keyword trends, pricing fluctuations, product availability.
Why It Matters: Identifies shifts in consumer demand, price sensitivity, and seasonal interest.
Competitor Websites & Reports
What We Extract: Feature updates, marketing messaging, new product launches, content changes.
Why It Matters: Benchmarks against competitors and informs strategic decisions.
How the Scraper Works
First, it finds parent posts that match your keyword and source selection.
Then, it pulls in all replies to that post—even if they don’t contain the keyword—to capture full conversations.
Step 3: AI-Powered Analysis
Once the data is collected and the multi-agent framework takes over:
Multi-Agent Framework: Our AI system works collaboratively, running multiple algorithms in parallel to extract insights. One algorithm tracks shifts in consumer behavior, another processes sentiment trends, and another maps correlations between purchase triggers and barriers. This ensures a holistic research approach that captures both patterns and context.
Everything is structured into themes and questions - so you get insights into:
Why are people buying?
What’s stopping them?
How do they feel?
Step 4: Insights Delivered in under 30 mins
Your final report is easy to read and designed for action, delivered to your inbox. Whether you need deep consumer understanding, competitive benchmarking, or category trends, Consuma AI gives you the answers without the manual effort.
Better research. Faster insights. Smarter decisions.