Screenshot of the Source-based SEO content publishing workspace interactive demo
Screenshot of the interactive demo, on sample data

Source-based SEO content publishing workspace

Reduce tool sprawl and manual handoffs while keeping one editorial workflow the team owns.

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For
Marketing teams and site owners publishing SEO content for websites and blogs
Solves
Content teams rent several tools for keyword research, drafting, images, publishing and competitor checks, and still stitch the workflow together by hand.
Delivers
Editor-approved publish-ready articles linked to their sources
Built in
about 5 weeks of creation time, MVP in 5 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl and manual handoffs while keeping one editorial workflow the team owns.

  1. Collect approved source material and topic briefs.
  2. Research keywords and cluster related topics.
  3. Generate SEO-optimized drafts from sources and keyword sets.
  4. Insert and check keywords against search intent.
  5. Scan drafts for duplicate material and originality.
  6. Summarize competitor content and coverage gaps.
  7. Produce drafts in multiple target languages.
  8. Apply brand templates and formatting rules.
  9. Generate or select supporting images.
  10. Place affiliate links with disclosure rules.
  11. Support drafting and optimization from the browser.
  12. Route drafts through named-owner review and approval.
  13. Schedule and publish approved articles to the site.
  14. Track published articles against the recorded baseline.
  15. Capture corrections and approval before consequential use.
  16. Export a versioned editor-approved publish-ready articles linked to their sources with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Approved source material
  • Keyword sets
  • Brand rules
  • Publishing targets

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • Editor-approved publish-ready articles linked to their sources
02

How it works

The workflow

  1. In
    Start with

    Approved source material, keyword sets, brand rules and publishing targets

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect approved source material

  4. 3

    Keyword sets

  5. 4

    Brand rules and publishing targets

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Editor-approved publish-ready articles linked to their sources

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One approved source set and one publishing destination; final fact, brand and legal checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source and keyword intake, Editable article workspace, Review and publishing queue. Use a thumbnail gallery for content projects, a large central editing canvas, and a right-hand panel for sources, keywords, brand rules and comments. Let users compare drafts and revisions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant paragraph. Make the task-specific outcome editor-approved publish-ready articles linked to their sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client comments, approval states, usage allowances, revision limits, download history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Customer-owned content sources, authorized research material and permitted publishing destinations. Cloud asset storage, CMS import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

03

How we build it

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

  1. 1

    Scoping call

    Day 1

    Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

  2. 2

    MVP

    5 days

    One buyer segment, one recurring use case; first modules: collect approved source material and topic briefs; research keywords and cluster related topics. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    6 days

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

  4. 4

    Full product

    2 weeks

    Self-serve onboarding, billing, monitoring and the wider integration set.

  5. 5

    Run and improve

    Monthly

    We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

  1. Pick the riskiest assumption. Here: will marketing teams and site owners publishing SEO content for websites and blogs use it to solve "content teams rent several tools for keyword research, drafting, images, publishing and competitor checks, and still stitch the workflow together by hand"?
  2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
  3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted published articles per editorial hour and corrections after publication.
  4. Measure, then decide. Track accepted published articles per editorial hour and corrections after publication; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One approved source set and one publishing destination; final fact, brand and legal checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: collect approved source material and topic briefs; research keywords and cluster related topics. Support the third module with operator review: generate SEO-optimized drafts from sources and keyword sets. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around editor-approved publish-ready articles linked to their sources. Retain the explicit scope boundary: One approved source set and one publishing destination; final fact, brand and legal checks remain editorial.

What the build depends on. Asset upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity publishing requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved source set and one publishing destination; final fact, brand and legal checks remain editorial.

04

Investment

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: collect approved source material and topic briefs; research keywords and cluster related topics. Manual review in the loop.

    $13,000 · about 5 days of creation time

  2. Phase 2

    Paid pilot

    Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

    $13,000 · about 6 days of creation time

  3. Phase 3

    Full product

    Self-serve onboarding, billing, monitoring and the wider integration set.

    $18,000 · about 2 weeks of creation time

Indicative total, MVP to full product$44,000about 5 weeks of creation time · start with the MVP from $13,000

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$70–$140$100–$200
Full productabout 50 customers$110–$210$700–$1,400$810–$1,610
05

Run it or resell it

Internally

For your own team

Marketing teams and site owners publishing SEO content for websites and blogs run it inside the business: approved source material, keyword sets, brand rules and publishing targets in, editor-approved publish-ready articles linked to their sources out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

Run it under your own brand, or start from this concept style.

  • primary#272f91
  • accent#c9c154
  • surface#e4e6f1
  • ink#22201e
Headings
Playfair Display
Text
Source Sans 3
Voice
Energetic, specific, results-minded
Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined content package. Offer a monthly production allowance after repeat demand. Quote complex multilingual, image or specialist research work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved publish-ready articles linked to their sources. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce tool sprawl and manual handoffs while keeping one editorial workflow the team owns. Demonstrate a concrete editor-approved publish-ready articles linked to their sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Marketing teams and site owners publishing SEO content for websites and blogs professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample editor-approved publish-ready articles linked to their sources from a small authorized input set, with a transparent calculation of accepted published articles per editorial hour and corrections after publication and no promised savings.

The first 30 days

  1. Week 1: interview five marketing teams and site owners publishing SEO content for websites and blogs and inspect a recent example of content teams renting several tools for keyword research, drafting, images, publishing and competitor checks, and still stitching the workflow together by hand.
  2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
  3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
  4. Week 4: measure accepted published articles per editorial hour and corrections after publication, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted published articles per editorial hour and corrections after publication. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted published articles per editorial hour and corrections after publication; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs editor-approved publish-ready articles linked to their sources. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved brand rules, keyword sets and review examples, together with reliable delivery for a narrow publishing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for marketing teams and site owners publishing SEO content for websites and blogs. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

SEOpital, WPAutoBlog, WriterZen and Eilla AI, plus freelancers and generic writing tools. Compare this product with the buyer's present method on accepted published articles per editorial hour and corrections after publication. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, image processing, storage, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved publish-ready articles linked to their sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Editors approve substantive changes and publication scope. One approved source set and one publishing destination; final fact, brand and legal checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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