Now in early access

The programmatic SEO workflow your pages live in.

Turn a dataset into versioned generation runs, validation-backed pages, and deploy-ready site structure — not a one-off CSV dump.

State, review, export. Repeat without losing history.

Versioned runs and page history
Validation warnings + content policies
Strategy presets (local SEO, software reviews)
Import GSC data to prioritize rewrites
Breadcrumbs, hubs, and internal links
WXR + static HTML with sitemap

The problem

Programmatic SEO is powerful.
The toolchain is a mess.

You have structured data. You need pages that stay trustworthy as you iterate — and a system that remembers what shipped. What should take an afternoon turns into weeks of glue between prompts, validators, exports, and CMS imports.

Fragmented workflow

CSV → ChatGPT → docs → manual formatting → import → schema → cleanup. Every step is a different tool, and nothing connects iteration to outcomes.

Hallucinations at scale

Models invent facts. At 10 pages you catch it. At 10,000 you need automated checks, not hero reviews.

No durable state

One-shot generators don’t track runs, versions, or warnings. You can’t diff, retry, or explain what changed between exports.

Glue work kills momentum

You maintain scripts instead of shipping pages. The pipeline becomes the product — and the site architecture stays flat.

Workflow

An operating loop — not a single pass.

PageForge is built around iteration: map once, generate in runs, review warnings, keep versions, and export when you are ready. Performance snapshots and an optimization queue are a foundation for feedback-driven refinement — not a promise of full automation.

Step 1

Upload your dataset

Bring rows × columns data: cities, products, reviews, listings. PageForge keeps the CSV as the source of truth for generation.

Step 2

Map columns, policies, and hierarchy

Define entities, slugs, attributes, and optional hub prefixes. Layer in content policies so generation stays aligned with your rules.

Step 3

Choose a preset and tone mode

Pick a strategy preset (general, local SEO, software reviews) and a generation mode from strict Minimal to expressive Editorial.

Step 4

Generate with tracked runs

Non-destructive generation records runs and snapshots so you can regenerate subsets without losing what shipped before.

Step 5

Review, diff, and iterate

Surface validation warnings by severity, compare versions, retry single pages, and import GSC performance data to prioritize what to improve next.

Step 6

Export deploy-ready structure

Ship WordPress WXR or static HTML with sitemap — plus breadcrumbs, hubs, and internal links aligned to your mapping.

New to programmatic SEO? Read our step-by-step guides to learn the full workflow.

Quality & trust

Controls for scale: modes, validation, and review surfaces.

Tone modes set how much the model can embellish. Validation and optional content policies keep outputs aligned with your rules — with warnings you can triage before export.

Not every page needs the same approach. Minimal mode exists because sometimes the most useful thing AI can do is not make things up.

Minimal

Strict. Validator-backed. Zero embellishment.

  • Uses your CSV data as the source of truth
  • Post-generation validator catches novel claims
  • Close to deterministic output
  • Safe for regulated industries & enterprise
  • No general knowledge injected
Standard

Balanced. SEO-ready. Light contextualization.

  • Adds relevant context around your data
  • Natural-sounding SEO copy
  • Good default for most use cases
  • Structured sections with FAQs
  • Meta descriptions & schema markup
Expressive

Editorial. Engaging. Built to differentiate.

  • Opinionated, editorial voice
  • Richer storytelling around data points
  • Best for competitive niches
  • Designed to stand out in SERPs
  • Still structured — not a blog post

Why Minimal mode matters

Same input, same structure. No hidden knowledge. No silent invention.

In Minimal mode, every generated page is validated against your source data. A post-generation traceability pass extracts allowed facts from your CSV, compares them to the output, and auto-strips any claim the model invented. Temperature is pinned to zero.

This isn't a safety checkbox. It's a reliability layer on top of the LLM — designed for operators who need to trust 10,000 pages, not review them one by one.

Under the hood

Architected for reliability, not just speed.

Bulk generation is only useful if you can trust the output. Every layer of PageForge is designed to keep generation predictable and auditable.

Typed structured output

Every generation call enforces a JSON schema. The model returns typed objects — headings, sections, FAQs, meta fields — not raw text blobs. Malformed responses are rejected before they reach your project.

response_format: { type: "json_schema" }

Post-generation traceability validator

In minimal mode, a second pass extracts factual claims from the output and traces them back to your CSV. Claims that can't be traced are flagged and auto-repaired. You publish facts, not fabrications.

validate(output, sourceRow) → strip novel claims

Per-mode temperature and length control

Minimal uses temp 0.0, Standard 0.4, Expressive 0.7. Section lengths are clamped per tone. Token budgets are bounded. No runaway generation, no unpredictable variance.

minimal: 0.0 · standard: 0.4 · expressive: 0.7

System prompt isolation

Each mode has a dedicated system prompt. Minimal explicitly forbids general knowledge injection. The model sees your data and the structural template. Nothing else enters the generation context.

"Use ONLY the provided data. Do not add external facts."

Deterministic-friendly pipeline

Same CSV, same mapping, same mode → same page structure. Slugs are normalized. Canonical URLs are injected. Internal links are computed from your dataset, not guessed. The output is reproducible.

input(csv, mapping, mode) → output(pages, meta, links)

Structure & exports

Site architecture and import-ready bundles.

Generated pages aren't isolated documents. PageForge adds breadcrumbs, optional hub-style category pages, and smarter internal linking from your categories and slugs — so exports feel like a site, not a folder of HTML files.

Information architecture

  • Breadcrumbs and JSON-LD breadcrumb markup where applicable
  • Synthetic hub / category pages from your mapping
  • Internal links scored by category match and slug similarity
  • Clean URL paths aligned to your slug column

Operational fit

  • Non-destructive regeneration preserves prior versions
  • Per-page retry without rerunning the whole dataset
  • Import GSC CSV to feed the optimization queue
  • Validation warnings surfaced before you ship an export

WordPress WXR

One-click import into any WordPress install. Works out of the box with Rank Math SEO.

  • WP-compatible XML (WXR 1.2)
  • SEO title & meta description
  • Rank Math metadata fields
  • Custom slugs from your data
  • Category assignment
  • Post dates & author attribution

Static HTML ZIP

A complete static site. Drop it on any host — Vercel, Netlify, S3, or your own server.

  • Clean URL directory structure
  • Inline meta tags & canonical URLs
  • JSON-LD structured data
  • Auto-generated sitemap.xml
  • robots.txt included
  • No CMS or runtime required

Strategy presets

Niche-aware defaults on top of your mapping.

Presets adjust prompt emphasis and section bias — they work together with your CSV mapping, tone mode, and content policies so you are not stuck with a single generic template.

General

Default prompts and structure for broad directory and comparison-style pages when you don’t need a niche-specific bias.

  • Balanced templates
  • Works across many verticals
  • Good starting point for new projects

Local SEO

Tuned language for location and service-area style pages — ideal when cities, regions, or storefronts are in the dataset.

  • Geo-aware framing
  • Directory-friendly sections
  • Pairs well with map-style datasets

Software reviews

Emphasizes specs, tradeoffs, and verdict-style blocks for tools and products — aligned with comparison and review workflows.

  • Structured pros/cons patterns
  • Review-oriented headings
  • Supports affiliate-style datasets

Use cases

Operators who ship systems, not one-off pages.

The best fit is a repeatable dataset: clear entities, attributes, and slugs — plus a team that wants validation, versioning, and structured exports instead of chat copy-paste.

5,000
local landing pages
"{service} in {city}" with local preset + hierarchy
20,000
software & tool reviews
"{tool} review" with comparison blocks and verdict
10,000
directory & listing pages
"{venue type} in {neighborhood}" with structured attrs
8,000
asset & token explainers
"{token} — overview, risks, FAQs" (data-grounded)
15,000
catalog & SKU pages
"{product} specs & alternatives" from merchant feed
3,000
API-backed directories
"{integration} setup" from exported CSV snapshots

Not another chat wrapper

Operational pSEO, not a writing assistant.

Generic AI writers optimize for a single document. PageForge optimizes for repeatable generation, review, and shipping — with structure that survives the export.

One-shot AI + manual glue
PageForge
One-shot prompts, no record of outputs
Tracked runs, page versions, and diffs
Hope the model stayed on-script
Validation warnings + optional content policies
Flat pages pasted into a CMS
Breadcrumbs, hubs, and smarter internal links
Guess what to rewrite next
Import GSC data + optimization queue to prioritize rewrites
Manual export formatting
Import-ready WXR or deploy-ready HTML + sitemap

Pricing

Pay once. Use forever.

No subscriptions. Buy credits when you need them — they never expire. Workflow, versioning, validation, and exports are included at every tier.

Free

$0

25 page credits to start

  • 25 pages
  • All generation modes & presets
  • Version history & validation
  • WordPress & HTML export
Get started free
Popular

Pro

$39

One-time · 1,000 page credits

  • 1,000 pages
  • All generation modes & presets
  • Version history & validation
  • WordPress & HTML export
Buy Pro credits

Scale

$99

One-time · 5,000 page credits

  • 5,000 pages
  • All generation modes & presets
  • Version history & validation
  • WordPress & HTML export
Buy Scale credits

Who it's for

Built for builders who want leverage, not busywork.

Affiliate & comparison operators

Generate review and directory pages from product feeds with policies, validation, and exports you can trust at volume.

Niche site builders

Turn a geo or industry dataset into a structured site with internal links and hub pages — not a pile of disconnected URLs.

Programmatic SEO teams

Replace bespoke scripts with a workflow: presets, reruns, warnings, and version history that match how you actually ship.

“I could build this myself.”

You probably could: CSV parsing, prompts, validators, WXR, slugs, schema, linking, export pipelines — plus the changes every quarter.

PageForge is for teams who would rather operate a programmatic SEO system than maintain the glue around a chat window.

Ship pages. Keep history. Export with confidence.

Build the system. Ship the site.

Map your dataset once. Generate with policies and presets. Review, version, and export — then iterate without losing the trail.

Programmatic SEO workflow → validated pages → your infrastructure.

Free to try. No credit card required.