PageOptimizer Pro
Analyze selected competitor pages and produce an inspectable on-page checklist
The core loop is buildable, but a dependable replacement becomes a real weekend or multi-day project. For PageOptimizer Pro, analyze selected competitor pages and produce an inspectable on-page checklist. The hard boundary is proprietary scoring, report depth, extensions, and established seo methodology, plus crawl scale, rule depth, and operational polish.
Build verification: not recorded. How we judge buildability
What you give up
- proprietary scoring, report depth, extensions, and established SEO methodology
- massive hosted crawl capacity
- proprietary scoring
- continuous monitoring
- agency reporting and support
Why people still pay
People still pay for PageOptimizer Pro because a crawler is buildable; professionals pay for years of edge-case handling and reports they can trust with clients. The recurring cost buys robots handling, rendering, canonicalization, deduplication, crawl traps, rule maintenance, scheduling, storage, and false positives, not just the visible interface.
Your build guide
The stack, security requirements, and agent rules for a focused replacement.
Before you start
- Runtime and tools: Python, HTTP parsing, SQLite and optional Playwright for explicitly permitted rendered pages.
- Before starting: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery.
Use these project rules and optional skill references alongside the prompt. Review each skill before adding it to your agent; the AGENTS.md export includes the same guidance.
Project rule — domain: Store PageSnapshot, Heading, TermObservation and Recommendation; record extraction coverage and never treat a competitor's frequency as a mandatory keyword target.
Project rule — scope and recovery: Use supplied/permitted URLs first. Content advice is heuristic and must preserve reader intent; no guaranteed rankings, hidden search-volume estimates or mass keyword stuffing.
Project rule — acceptance: One competitor blocks extraction and another repeats navigation text; exclude boilerplate, label missing coverage and keep the draft score from becoming a fabricated ranking forecast.
Project rule — delivery: document real setup commands and permissions; do not claim a build, accuracy level, performance result or security certification that has not been demonstrated.
Recommended skill: modern-python — structure the Python worker or explicitly optional read-only utility with pinned dependencies, typed boundaries and clear failure handling. Follow the maintainer's installation instructions and match its requirements to the chosen runtime.
Recommended skill: agent-browser — inspect the approved browser workflow and reproduce permitted page interactions; the CLI/browser runtime is a separate prerequisite. Follow the maintainer's installation instructions and match its requirements to the chosen runtime.
Implementation plan
Phase 1
Pin the working slice and create its example input: Compare an owned draft/page with a small user-approved competitor set and produce an inspectable on-page checklist with extracted evidence. Confirm setup: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery.
Phase 2
Implement persistence and write-time invariants before decorating the UI: Store PageSnapshot, Heading, TermObservation and Recommendation; record extraction coverage and never treat a competitor's frequency as a mandatory keyword target.
Phase 3
Connect the working view to real saved state. Bound hosts, redirects, page count, body size and timeout. Reject private-network destinations throughout redirects, respect access restrictions and backoff, and distinguish extraction failure from a missing field.
Phase 4
Expose the app-specific limits and recovery path in context: Use supplied/permitted URLs first. Content advice is heuristic and must preserve reader intent; no guaranteed rankings, hidden search-volume estimates or mass keyword stuffing.
Phase 5
Walk through this concrete acceptance case and preserve its exported evidence: One competitor blocks extraction and another repeats navigation text; exclude boilerplate, label missing coverage and keep the draft score from becoming a fabricated ranking forecast. Finish the README and backup/restore instructions; report unfinished capabilities explicitly.
Build the following focused alternative to PageOptimizer Pro. This is a deliberately limited personal or small-team substitute, not parity with the paid service. WORKING SLICE Compare an owned draft/page with a small user-approved competitor set and produce an inspectable on-page checklist with extracted evidence. SETUP AND ARCHITECTURE Use Python, HTTP parsing, SQLite and optional Playwright for explicitly permitted rendered pages. Prerequisites: A small authorized URL set, reviewed selectors or field schema and a user-approved crawl frequency; no proxy-evasion machinery. Before integrating anything, record actual versions and permissions, plus model files or provider limits only where used, in the README; make unavailable dependencies visible rather than simulating success. DOMAIN MODEL AND INVARIANTS Store PageSnapshot, Heading, TermObservation and Recommendation; record extraction coverage and never treat a competitor's frequency as a mandatory keyword target. IMPLEMENTATION CONTRACT Bound hosts, redirects, page count, body size and timeout. Reject private-network destinations throughout redirects, respect access restrictions and backoff, and distinguish extraction failure from a missing field. Provide an input/setup view, the main work view, and a review/export view appropriate to this workflow. Preserve the last saved state if a job or save fails. Include empty, loading, permission-denied, partial and retryable-error states. Log identifiers and error categories without secret values or unnecessary private content. APP-SPECIFIC BOUNDARY AND RECOVERY Use supplied/permitted URLs first. Content advice is heuristic and must preserve reader intent; no guaranteed rankings, hidden search-volume estimates or mass keyword stuffing. ACCEPTANCE SCENARIO One competitor blocks extraction and another repeats navigation text; exclude boilerplate, label missing coverage and keep the draft score from becoming a fabricated ranking forecast. Also reopen the app after an interrupted operation, confirm the saved record/export remains inspectable, and document the recovery action. These are implementation acceptance requirements, not a claim that this guide has been tested. DELIVERY Deliver a runnable repository with migrations or project-format versioning, a non-sensitive example, environment/permission setup, the exact manual acceptance steps, and a backup/export-and-restore walkthrough. Implement the working slice before optional integrations; list any deferred paid-product capabilities honestly. Do not add capabilities outside the working slice just to resemble the original product. PROJECT RULES FOR AGENTS.md Keep the domain invariants above executable at the write boundary. Propose scope changes before adding providers or permissions. Never fabricate source evidence, publish results, identity matches or successful delivery. Preserve user originals and require an explicit confirmation for destructive changes or external publication.
$ open in your agent (prompt prefilled, you press enter), copy the prompt or copy or download AGENTS.md · generated from this app's build plan
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PageOptimizer Pro pricing
| plan | monthly | annual (per mo) | what you get |
|---|---|---|---|
| basic | $40/workspace | — | 20 POP credits/month; unlimited domains; Watchdog monitoring for 10 pages.Monthly only. |
| unlimited | $72/workspace | $61.58/workspace | 50 POP credits/month; unlimited reports under fair use; Watchdog monitoring for 200 pages.Annual total is $739. |
| teams | $143/workspace | $118.75/workspace | 120 POP credits/month; 5 included subaccounts (up to 100); Watchdog monitoring for 500 pages.Annual total is $1,425. |
free tierno free tier
billingBasic is monthly only; Unlimited and Teams offer monthly + annual billing
hidden costsExtra seats cost $12/month or $120/year. Non-expiring credit packs range from $15 for 10 credits to $800 for 1,000; reports, reruns, NLP, and AI writing consume different credit amounts. White Glove service starts at $275.
pricing sources checked 2026-08-14 · pricing source ↗
Questions about PageOptimizer Pro
Can you build your own PageOptimizer Pro with AI?
Partly. The core loop is buildable, but a dependable replacement becomes a real weekend or multi-day project. For PageOptimizer Pro, analyze selected competitor pages and produce an inspectable on-page checklist. The hard boundary is proprietary scoring, report depth, extensions, and established seo methodology, plus crawl scale, rule depth, and operational polish.
What does the PageOptimizer Pro build prompt cover?
The prompt starts with this scope: Compare an owned draft/page with a small user-approved competitor set and produce an inspectable on-page checklist with extracted evidence. Full-product capabilities excluded from the comparison include: proprietary scoring, report depth, extensions, and established SEO methodology; massive hosted crawl capacity; proprietary scoring. Follow the implementation plan and its prerequisites before expanding the build.
How do I use the prompt, AGENTS.md and agent skills?
Start with the PageOptimizer Pro prerequisites and stack, then copy the prompt into your coding agent. Save the project rules as AGENTS.md in the project root. Linked skills are optional packages or source instructions for specific tasks; review their current contents and install only those matching the chosen stack. A skill does not supply API credentials or verify the finished app.
How long will this PageOptimizer Pro project take?
The catalogue estimate is multi-day for the limited scope. Setup, integration approvals, debugging, deployment and ongoing maintenance can add time. This is an estimate, not a delivery guarantee.
What would I give up by replacing PageOptimizer Pro?
proprietary scoring, report depth, extensions, and established SEO methodology; massive hosted crawl capacity; proprietary scoring; continuous monitoring; agency reporting and support. People still pay for PageOptimizer Pro because a crawler is buildable; professionals pay for years of edge-case handling and reports they can trust with clients. The recurring cost buys robots handling, rendering, canonicalization, deduplication, crawl traps, rule maintenance, scheduling, storage, and false positives, not just the visible interface.
What price is this guide comparing against?
The recorded Basic plan is $40/mo (monthly), checked 2026-08-14. Check the linked pricing source before buying. Building your own also has hosting, API and maintenance costs; the recorded amount is not a guaranteed saving.
What can I use instead of building PageOptimizer Pro?
The prior-art section lists SEOnaut as starting points. Review their current scope, license and maintenance before adopting one.