Introduction
Imagine: you launch a new landing page, spend budget on traffic, but the conversion is lower than expected. In Hotjar, you see heatmaps: users click on inactive elements, and the key button goes unnoticed. The problem is clear, but to collect data from all pages, generate a report, and send it to your team, you have to manually export screenshots, copy metrics, and write conclusions. This takes 2–3 hours per week.
Hotjar integration with the ASI Biont AI agent solves this problem. You connect the service via API — the AI itself collects data from heatmaps, session recordings, and surveys, generates analytical reports, and sends them to Telegram, Slack, or email. All without code: just provide the API key in the chat with the agent.
What is Hotjar and Why Connect It to an AI Agent
Hotjar is a behavioral analytics tool that allows you to:
- record user sessions (video of actions on the site),
- build heatmaps of clicks, scrolls, and mouse movements,
- launch pop-up surveys and collect feedback,
- analyze conversion funnels.
According to Hotjar itself, the service is used by over 1 million websites worldwide (source: hotjar.com/about). However, the standard Hotjar interface does not provide flexible automation scenarios: you cannot set up automatic data export on a schedule or generate reports without human involvement.
The ASI Biont AI agent fills this gap. It connects to Hotjar via the official REST API (documentation: developers.hotjar.com) and performs three key tasks:
1. Data collection — extracts heatmap metrics, session recordings, survey results.
2. Analysis and report generation — the AI interprets data, identifies behavior patterns, and generates structured reports in natural language.
3. Triggers and notifications — the agent can launch Hotjar surveys on certain events (e.g., on repeat page visits) or send alerts when conversion drops below a threshold.
How the Connection Works: Dialogue with AI, Not a Control Panel
Unlike traditional integration platforms (Zapier, Make), where you need to select modules from a list, ASI Biont has no "add integration" button. All connection happens through natural dialogue in the chat.
Here is an example of a real scenario:
You write to the agent:
"Connect Hotjar. Here is my API key: abc123... I want you to collect heatmap data for the week every Friday and send me a brief report in Telegram with the main issues on the page."
The AI agent replies:
"Got it. I tested the connection with your API key — data from Hotjar is accessible. I set up weekly collection: every Friday at 6:00 PM I will request heatmap metrics and session recordings, analyze them, and send a report to Telegram. For the first report, I will prepare a sample in 5 minutes. Would you like to set up additional triggers, such as a survey on high mouse activity?"
How it works technically:
- The user provides the Hotjar API key (created in the Hotjar account under "Organization Settings" → "API Keys").
- The AI agent independently writes integration code in Python, using the requests library to call Hotjar API endpoints (e.g., /api/v1/sites/{site_id}/heatmaps).
- The code runs in the secure ASI Biont environment, and the key is stored encrypted.
- The agent sets up a schedule (CRON tasks) or event-based triggers.
Important: ASI Biont connects to any service that has an open API. You don't need to wait for developers to add a ready-made module — you can integrate anything right now by simply describing the task in the chat. The only requirement is the API key from the service.
What Tasks This Integration Automates
1. Automatic Report Generation for Heatmaps
Problem: Every week, a marketer manually opens Hotjar, selects pages, takes screenshots of heatmaps, and copies metrics (e.g., % of clicks on inactive elements, scroll depth).
Solution with AI agent:
- The agent once a week requests data for all pages via the Hotjar API.
- Analyzes metrics: identifies areas with abnormally high click counts (e.g., more than 15% of clicks on an inactive banner).
- Generates a report in Markdown or PDF with a text description: "On the /pricing page, 23% of clicks are on the text below the CTA button — users likely expect a link there. It is recommended to make this element clickable."
- Sends the report to Telegram, Slack, or email.
2. Smart Survey Triggers Based on Behavior
Hotjar allows showing surveys based on rules (e.g., after 30 seconds on the page). But these rules are static. The AI agent can dynamically launch surveys based on more complex signals:
- Scenario: If a user spends more than 2 minutes on a page and does not perform the target action (e.g., does not click "Buy"), the AI agent via the Hotjar API creates a survey with the question: "What prevented you from completing the purchase?"
- Result: You get qualitative feedback from "hot" leads who were almost converted.
3. Session Recording Monitoring with Alerts
Hotjar records thousands of sessions daily. Reviewing them manually is impossible. The AI agent can:
- Analyze recordings through metadata (session duration, number of clicks, site path).
- Set up alerts: "If a session lasts more than 5 minutes and ends on a 404 error page — send a notification to developers in Telegram."
4. Comparison of A/B Test Heatmaps
Example: You run an A/B test of two landing page versions. The AI agent collects heatmaps for variant A and B, compares click and scroll metrics, and outputs a conclusion: "Variant B has 12% more clicks on the CTA button, but 8% less scroll depth — content below the button may not be viewed."
Table: What the Integration Changes
| Task | Without AI Agent (Manual) | With ASI Biont AI Agent |
|---|---|---|
| Collecting heatmap data | Open Hotjar, select pages, export screenshots | Automatic API request on schedule |
| Analyzing behavior patterns | Visually review maps, subjective assessment | Objective metric analysis, anomaly detection |
| Generating reports | Copy metrics to Excel, write conclusions manually | AI generates structured report in natural language |
| Launching surveys | Set static rules in Hotjar interface | Dynamic triggers based on behavior (e.g., high mouse activity, long inactivity) |
| Monitoring sessions | Review recordings randomly | Automatic metadata analysis, alerts on key events |
Why It's Beneficial: Time and Resource Savings
According to Gartner's "Market Guide for Digital Experience Analytics" (2023), companies that automate behavioral data analysis reduce report preparation time by an average of 40–60%. For a team of 3 people spending 4 hours per week on manual data collection from Hotjar, this saves about 8 person-hours per week or over 400 hours per year.
Additionally, automation reduces the risk of human error: the AI will not miss an anomaly on a page, forget to update data, or make calculation mistakes.
Conclusion
Hotjar integration with the ASI Biont AI agent turns scattered user behavior data into actionable insights without manual labor. You connect the service via an API key in the chat, the AI itself writes integration code, sets up a schedule, and sends reports. No control panels — just a dialogue with the agent.
Try the integration now: go to asibiont.com, create a new AI agent, and write in the chat: "Connect Hotjar." Provide the API key — and you will get the first results in just 5 minutes.
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