Monitor Reddit posts via Bright Data, extract URLs from Google Sheets, analyze sentiment with GPT-5.4, score opportunities, and alert the strategy team for high-potential brands.
This AI agent reads competitor URLs from Google Sheets, scrapes Reddit posts with Bright Data, and analyzes sentiment using GPT-5.4 end-to-end. It computes positive, neutral, and negative sentiment shares, extracts top complaints and praises, and identifies vulnerability areas. It outputs a 0–100 competitive opportunity score and routes results to categorized tabs and alerts for action.
End-to-end sentiment mapping and scoring from input to alerts.
Ingests brand_name, url, and industry from the competitor_brands sheet.
Sends each URL to Bright Data Reddit Posts API for discovery.
Validates the Bright Data API response for completeness.
Analyzes sentiment distribution with GPT-5.4 and identifies opportunities.
Merges AI results with the original brand data to preserve context.
Routes results to high_opportunity_brands, competitor_sentiment, or low_confidence_sentiment and triggers alerts.
This AI agent automates data collection, sentiment analysis, and routing to deliver timely, actionable insights. It standardizes data across inputs and reduces manual handoffs.
A simple, three-step flow from input to action.
On Monday at 8 AM, the AI agent reads the competitor_brands sheet and validates required fields (brand_name, url, industry).
Sends each URL to Bright Data Reddit Posts API and validates returned data structure.
GPT-5.4 analyzes sentiment and opportunities, merges results with source data, filters by confidence (>= 0.7), and routes to high_opportunity_brands (alerts) or other tabs.
One realistic scenario showing inputs, processing, and outcomes.
Scenario: A Monday run processes three competitor URLs. BrandAlpha receives a competitive_opportunity_score of 78 with high confidence and is added to high_opportunity_brands, triggering a Gmail alert to the strategy team. BrandBeta scores 65 with solid confidence and is logged in competitor_sentiment for quarterly review. BrandGamma has a score 72 but confidence 0.69, so it is routed to low_confidence_sentiment for follow-up.
People and roles that rely on competitive intelligence and timely decisions.
Uses consolidated scores to prioritize competitor actions.
Monitors sentiment shifts and reacts to emerging issues.
Informs messaging with vulnerability areas and top complaints.
Exports structured data for dashboards and reports.
Reviews data-gathering methods and access controls.
Receives high-level alerts on opportunities and risks.
Tools connected to the AI agent and what happens inside each.
Discovered Reddit post data from provided URLs and returns relevant posts for sentiment analysis.
Performs sentiment analysis, distribution mapping, and competitive_opportunity_score calculation.
Reads input from competitor_brands and writes results to high_opportunity_brands, competitor_sentiment, and low_confidence_sentiment.
Sends alert emails for high_opportunity_brands to the strategy team.
Practical scenarios where this AI agent adds value.
Common concerns and how this AI agent handles them.
The AI agent reads from a Google Sheet tab named competitor_brands and uses Bright Data to discover Reddit posts from each URL. It then leverages GPT-5.4 to analyze sentiment and generate an opportunity score. Only publicly available data is processed, and results are stored in separate output tabs for review. The workflow includes data validation steps to ensure inputs are complete before processing. All steps are executed on a fixed Monday 8 AM schedule unless reconfigured.
GPT-5.4 analyzes sentiment distribution (positive, neutral, negative) and extracts top complaints and praises. It then assesses vulnerability areas and combines these signals into a 0–100 score representing competitive opportunity. The score reflects both sentiment strength and identified actionable gaps. Confidence thresholds are applied to determine routing to high_opportunity_brands, competitor_sentiment, or low_confidence_sentiment.
Incomplete Bright Data responses trigger a validation flag and the affected URL is marked for review. The AI agent may retry a failed scrape, or route the item to low_confidence_sentiment for follow-up analysis. Results that fail validation are kept separate from high-confidence findings to prevent misleading alerts. This ensures stakeholders only act on data with sufficient confidence.
Alerts fire when a brand achieves a competitive_opportunity_score of 70 or higher and the confidence is acceptable. The corresponding brand is added to high_opportunity_brands and an email is sent via Gmail to the strategy team. This creates a timely signal to reallocate resources or adjust messaging. Lower-scoring or low-confidence results remain in their respective tabs for review.
The workflow relies on Bright Data, GPT-5.4, Google Sheets, and Gmail OAuth2. Bright Data costs roughly $0.003–$0.005 per URL scrape, while GPT-5.4 calls cost roughly $0.003–$0.008 per call. Google Sheets and Gmail usage require standard OAuth2 permissions. Costs scale with the number of URLs processed weekly, so teams should anticipate moderate, predictable spend aligned with cadence.
Processed results are written to dedicated Google Sheets tabs: high_opportunity_brands, competitor_sentiment, and low_confidence_sentiment. The original input remains in competitor_brands for traceability. Outputs include the sentiment distribution, top issues, vulnerability areas, and the 0–100 score. Access is controlled via Google Workspace permissions and OAuth2 credentials.
The AI agent operates on publicly available information from Reddit, accessed via compliant API channels. It respects platform terms of service and data-use policies. Data handling follows established internal governance and access controls. If terms change or data scopes tighten, the workflow can be reconfigured accordingly.
Monitor Reddit posts via Bright Data, extract URLs from Google Sheets, analyze sentiment with GPT-5.4, score opportunities, and alert the strategy team for high-potential brands.
