Automate your competitive intelligence with AgentQL and Swiftask
Swiftask partners with AgentQL to transform your intelligence processes. Automatically extract competitor data and receive actionable insights directly in your business tools.
Result:
Save hours of manual analysis every week and detect market movements before anyone else.
AI Agents
agentql
Connector agentql · Secure OAuth 2.0
Manual competitive intelligence is obsolete
Monitoring prices, new features, or positioning changes from competitors takes significant time. Manual methods are slow, error-prone, and prevent you from reacting quickly to market shifts.
Main negative impacts:
Outdated data
By the time you collect and analyze information, your competitors have already gained an advantage.
High operational costs
Dedicating human resources to repetitive data collection is a waste of talent and budget.
Superficial analysis
Information overload prevents you from focusing on the strategic insights that drive growth.
With the Swiftask + AgentQL integration, your AI agents crawl competitor sites automatically, extract the structured data you need, and synthesize key changes.
BEFORE / AFTER
What changes with Swiftask
Without Swiftask + AgentQL
Your team spends hours every morning manually browsing competitor sites, copying pricing tables or feature lists into an Excel file, and trying to draw conclusions.
With Swiftask + AgentQL
Your AI agent queries target sources via AgentQL as soon as an update is detected. Data is extracted, analyzed, and a summary report is automatically generated and sent to your team.
Set up your automated intelligence in 4 steps
1
STEP 1 : Define your targets with AgentQL
Use AgentQL to precisely define the elements to extract (prices, page titles, new product mentions) on competitor websites.
2
STEP 2 : Configure the AI agent in Swiftask
Create your Swiftask agent and connect it to your AgentQL queries. Define the monitoring frequency.
3
STEP 3 : Set analysis rules
Teach your agent what constitutes an important change (e.g., 10% price drop, new feature launch).
4
STEP 4 : Automate reporting
Configure alerts to be sent via Slack, Teams, email, or directly into your CRM.
Key features for your intelligence
Your AI agent doesn't just copy data: it compares new information against historical data to identify underlying trends.
- Target connector: The agent performs the right actions in agentql based on event context.
- Automated actions: Structured data extraction with AgentQL, price change detection, content tracking (blogs, press releases), automatic insight synthesis, intelligent alerts.
- Native governance: All extracted data is stored and accessible in Swiftask for your internal audits.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-agentql@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Why automate your intelligence with Swiftask?
Strategic reactivity
Be informed in real-time about competitor changes to adjust your strategy immediately.
Data accuracy
AgentQL ensures clean extraction, even if competitor website structures change.
Focus on value
Your teams focus on strategic decision-making rather than data entry.
Scalability
Monitor 1 or 100 competitors with the same ease thanks to automation.
Total integration
Insights are injected where your teams already work, facilitating adoption.
Security and compliance
Swiftask applies enterprise-grade security standards for your agentql automations.
- Responsible extraction: AgentQL follows best practices for ethical and robust data collection.
- Data confidentiality: Your intelligence strategies and collected data are isolated in your Swiftask instance.
- Full audit trail: Every extraction is logged, ensuring complete transparency of your intelligence processes.
- IT Governance: Control who accesses your intelligence reports via Swiftask's role-based access control.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Impact on your performance
| Metric | Before | After |
|---|---|---|
| Time spent on collection | 10h+ per week | Less than 30 min (supervision) |
| Detection delay | Several days | Real-time |
| Data accuracy | Human error risk | Automated reliability |
| Number of sources tracked | Limited by headcount | Unlimited |
Take action with agentql
Save hours of manual analysis every week and detect market movements before anyone else.