Scan your site and map every programmatic SEO page worth building
The programmatic SEO agent scans your site, brainstorms long-tail page patterns tailored to your niche, enriches them with keyword data, and exports a production-ready CSV blueprint for every page worth building.
Trusted by leading teams
Start with a working agent, then shape it to your team
The Programmatic SEO Agent comes set up with these apps, instructions, and prompts. Change any of them once it's in your workspace.
Apps it connects to
Firecrawl
Parallel
DataForSEO
Instructions it follows
- Tailor patterns to the siteScan the site first and propose patterns that fit the niche, with the reasoning, before harvesting any keywords.
- Data over fillerProduce structured database rows that map to rich, helpful pages, never robotic SEO filler text.
- Build to indexKeep every programmatic set highly contextual and under the scale that guarantees indexation, not mass-produced thin pages.
Try asking
Build me a programmatic SEO blueprint. Here is my website:
Brainstorm three long-tail page patterns for my niche and explain why each one works.
Enrich my chosen pattern with search volume, difficulty, and CPC, then export the CSV.
Generate comparison-page rows with slugs, meta titles, and required CMS fields.
Stop mapping out programmatic pages one row at a time
One site scan turns into a complete blueprint with the keywords, metadata, and CMS fields mapped for every page.
What is the Programmatic SEO Agent?
The Gumloop programmatic SEO agent turns one website scan into a complete, production-ready page blueprint. It scans your site to understand your category, audience, and offering, then brainstorms repeatable long-tail page patterns tailored to your niche, like comparison pages, local service pages, directory pages, or integration guides.
It runs as a guided, three-phase workflow. First it scans and proposes three distinct patterns with the reasoning behind each. Then, once you pick the patterns you want, it harvests keyword data for them: search volume, difficulty, CPC, and intent. Finally it generates the full strategy, so you are not just handed a keyword list, you get a finished plan.
The output is a CSV of programmatic pages. Every row is a full page spec: the target keyword, a clean URL slug, a meta title and description, an H1, the dynamic variable that changes per page, the keyword metrics, and the exact CMS fields needed to build a rich page. Download it and use it as the build spec for every page. This agent is a starting point: pick different patterns, expand the row count, or refine the columns, all in the same conversation.

What you can do with the Programmatic SEO Agent
Workflows the agent handles out of the box.
Site scan and niche read
Scans your homepage to understand your category, audience, features, and how you make money, so the patterns it proposes actually fit your business.
Tailored pattern brainstorming
Proposes three distinct, repeatable long-tail page patterns custom to your niche, with the reasoning and real keyword examples for each.
Keyword enrichment
Pulls search volume, keyword difficulty, CPC, and intent for your chosen patterns, with strategic estimates when a niche is too new for tool data.
Full per-row page blueprint
Specs every page end to end: target keyword, URL slug, meta title, meta description, H1, dynamic variable, and the exact CMS fields to build it.
Production-ready CSV export
Generates a downloadable CSV of programmatic pages, with every column mapped to a field on the page you build.
How to use the Programmatic SEO Agent
Get from landing page to live agent in a few clicks.
- 1
Click "Use this agent"
A preconfigured agent is created in your Gumloop workspace with the right scanning and research tools and system prompt loaded. Takes a few seconds.
- 2
Give it your domain
Drop your website in chat. The agent scans it, reads your niche, and proposes three long-tail page patterns with the strategy behind each.
- 3
Pick a pattern and get the CSV
Choose the patterns you want. The agent enriches them with keyword data, generates a complete blueprint, and returns a downloadable CSV spec for every page.
Programmatic SEO Agent use cases
Real workflows teams run with this agent.
Launching a comparison-page program
Spin up a full set of "competitor vs you" pages, each with its own keyword, slug, metadata, and the CMS fields to build a real comparison.
Local service pages at scale
Blueprint "best {service} in {city}" pages across every market you serve, with volume and difficulty mapped per city.
Directory and marketplace pages
Generate pages like "average salary for {role}" or "hire freelance {skill}" for a job board or directory, ready to populate from your data.
SaaS integration guides
Build an "{app} to {app} integration guide" set so you rank for every tool pairing your product connects, without writing each page by hand.
Why use Gumloop for the Programmatic SEO Agent
Patterns tailored to your site
It reads your actual business before suggesting anything, so the patterns fit your niche instead of a generic pattern list.
Data-backed, not filler
Every row is grounded in real keyword metrics and specced for rich content, so the pages earn their place in the index.
A plan, not just keywords
You get slugs, metadata, H1s, and CMS field specs for every page, so the blueprint is ready to build the moment you open it.
A spec you build from
The deliverable is a downloadable CSV spec for every page, not a wall of text in the chat you have to reverse-engineer.
Related agents
- SEO keyword research agentDiscover and prioritize the keywords worth ranking for, ranked by volume and difficulty.Works with Google Search Console, Google Sheets, Slack
- SEO content brief generatorTurn a keyword into a writer-ready content brief with research and an outline.Works with DataForSEO, Firecrawl, Google Docs, Google Sheets
- AI SEO Optimization AgentTurn a keyword into a full scored SEO brief: competitor analysis, terms, headings, and an outline.
Frequently asked questions
Put the Programmatic SEO Agent to work
Add it to your workspace, connect your apps, and give it its first task.