Search-optimized content research and delivery workspace

For

In-house content teams and specialist SEO agencies producing recurring search-optimized articles

Solves

Keyword research, competitor analysis, briefs and copy live in separate rented tools, so approved content and its evidence are scattered.

Delivers

Editor-approved search-optimized articles linked to their briefs and sources

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce tool switching and rework while keeping every published claim traceable to an approved source.

1. Research target keywords and search intent.
2. Analyze competitor pages and market trends.
3. Generate research-driven briefs and outlines.
4. Condense data from top search results.
5. Suggest content ideas and topics.
6. Generate draft copy for blogs, product descriptions and social updates.
7. Apply customizable templates such as AIDA.
8. Adjust tone, style and subject focus.
9. Provide in-editor writing suggestions.
10. Score and recommend on-page SEO improvements.
11. Run site audits and automate repetitive SEO tasks.
12. Manage SEO in bulk across many pages.
13. Track performance with reports and analytics.
14. Produce structured content workbooks mapping keywords to briefs.
15. Organize documents, assign tasks and track progress.
16. Compare the reviewed result with the recorded baseline and value assumptions.
17. Capture corrections and named-owner approval before publication.
18. Export a versioned editor-approved search-optimized articles linked to their briefs and sources with source references and unresolved questions.

Everything these tools do, in one app

• AI content generation Generates blog posts, product descriptions, or other copy automatically using AI.Found in GetGenie, AI Ghostwriter
• SEO optimization Provides recommendations and scoring to make content search-engine friendly.Found in GetGenie, Frase, Squirrly SEO
• Keyword research Identifies and analyzes keywords to target for better search visibility.Found in GetGenie, Squirrly SEO, Yahini
• Competitor analysis Analyzes competitors and market trends to inform content strategy.Found in GetGenie, Yahini
• Content briefs Generates research-driven outlines or briefs to guide writing.Found in Frase, Yahini
• Automated research Automatically gathers and condenses data from top search results.Found in Frase
• Templates and frameworks Offers customizable templates like AIDA to structure content.Found in GetGenie
• Content idea generation Suggests topics and ideas for new content.Found in GetGenie
• Tone and style customization Allows users to adjust the tone, style, and topics of generated content.Found in AI Ghostwriter
• Diverse content types Produces various formats such as blog posts, product descriptions, and social media updates.Found in AI Ghostwriter
• Writing suggestions Provides intelligent suggestions to improve copy as you write.Found in Frase
• Performance tracking Monitors SEO progress with reports, audits, and analytics.Found in Squirrly SEO
• SEO audits and automation Conducts site audits and automates repetitive SEO tasks.Found in Squirrly SEO
• Bulk SEO management Efficiently handles SEO for multiple pages or posts at once.Found in Squirrly SEO
• AI SEO assistant Offers expert guidance and support for SEO strategies.Found in Squirrly SEO
• Collaboration and project management Organizes documents, assigns tasks, and tracks progress for teams.Found in Frase
• Content workbook generation Creates structured workbooks mapping keyword strategies and content briefs.Found in Yahini
• Expert-trained AI Uses an advanced language model refined with expert insights for content briefs.Found in Yahini

What goes in, what comes out

The workflow

1. In
   Start with

   Licensed keyword data, competitor pages, brand guidelines and editorial constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect licensed keyword data

4. 3

   Competitor pages

5. 4

   Brand guidelines and editorial constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved search-optimized articles linked to their briefs and 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 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 brand voice and licensed keyword source; final fact-checking and publication decisions remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Research and brief setup, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome editor-approved search-optimized articles linked to their briefs and 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

Client-owned keyword accounts, authorized competitor pages and permitted research sources. 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.

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: research target keywords and search intent; analyze competitor pages and market trends. 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 in-house content teams and specialist SEO agencies producing recurring search-optimized articles use it to solve "keyword research, competitor analysis, briefs and copy live in separate rented tools, so approved content and its evidence are scattered"?
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 articles per editorial hour and corrections after publication.
4. Measure, then decide. Track accepted 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 brand voice and licensed keyword source; final fact-checking and publication decisions remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: research target keywords and search intent; analyze competitor pages and market trends. Support the remaining modules with operator review. 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 search-optimized articles linked to their briefs and sources. Retain the explicit scope boundary: One approved brand voice and licensed keyword source; final fact-checking and publication decisions 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 production requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved brand voice and licensed keyword source; final fact-checking and publication decisions remain editorial.

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

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.

Your brand, or this one

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

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 multi-language or specialist content separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved search-optimized articles linked to their briefs and 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 switching and rework while keeping every published claim traceable to an approved source. Demonstrate a concrete editor-approved search-optimized articles linked to their briefs and sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

In-house content teams and specialist SEO agencies producing recurring search-optimized articles 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 search-optimized articles linked to their briefs and sources from a small authorized input set, with a transparent calculation of accepted articles per editorial hour and corrections after publication and no promised savings.

The first 30 days

1. Week 1: interview five in-house content teams and specialist SEO agencies producing recurring search-optimized articles and inspect a recent example of keyword research, competitor analysis, briefs and copy living in separate rented tools, so approved content and its evidence are scattered.
2. Week 2: prepare a consented or synthetic demonstration of the task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted 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 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 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 search-optimized articles linked to their briefs and 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 briefs, keyword strategies and review examples, together with reliable delivery for a narrow content niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for in-house content teams and specialist SEO agencies producing recurring search-optimized articles. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

GetGenie, AI Ghostwriter, Frase, Squirrly SEO and Yahini, plus freelancers and generic writing tools. Compare this product with the buyer's present method on accepted 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, keyword data licensing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved search-optimized articles linked to their briefs and sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Editors approve substantive changes and publication scope. One approved brand voice and licensed keyword source; final fact-checking and publication decisions remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.