Case fileAI Systems & Automation
An automated pipeline from a list of target URLs to personalized, segmented outreach: crawling, contact extraction, PageSpeed analysis, LLM-written messages, and automated follow-ups.
The requirement was outreach that referred to a real, current issue on each prospect’s own website, generated automatically from a list of targets, segmented, and followed up without manual tracking.
That meant treating each website as a data source: crawl it, extract who to contact, measure it objectively, and only then write.
What made it non-trivial
Qzentra built a pipeline that starts from target URLs. Each site is crawled; contact and social details are extracted; the Google PageSpeed API measures the site; and the results are analysed into technical findings.
From those findings, an LLM layer using OpenAI and Gemini generates outreach personalized to each prospect. Prospects are segmented, and follow-ups run automatically.
What Qzentra was responsible for
Read left to right. Every stage consumes the output of the one before it, which is what makes this a pipeline rather than a workflow.
The pipeline starts from a list of target websites.
Each site is crawled. Contact details and social profiles are extracted as structured data.
The site is measured through the Google PageSpeed API, giving repeatable technical metrics.
The PageSpeed results are analysed into findings that can be written about.
OpenAI and Gemini generate outreach for each prospect from the findings for their own site.
Prospects are segmented, which decides the outreach sequence they enter.
Follow-ups run on a schedule without anyone tracking individual threads.
Each message is generated from the PageSpeed findings for that site, so personalization is factual rather than a template with a name inserted.
Google PageSpeed provides repeatable technical metrics; the analysis step interprets them. The pipeline does not rely on a model to assess a site.
Contact and social details are extracted from the crawl as structured data before any outreach logic runs.
Segmentation decides which outreach sequence a prospect enters, and follow-ups are timed automatically from there.
Named last, with the role each played. The capabilities are what the project demonstrates beyond its primary service.
Capabilities demonstrated
Discuss a project
Describe the sources, what has to be extracted or measured, and what should happen with the result. Pipelines like this are scoped from the data outward.