Search content production and optimization workspace

For

In-house marketing teams and content agencies producing website content for search

Solves

Content, keyword, audit and publishing work sits in separate rented tools, so teams rebuild the same page context and lose the link between a recommendation and the published page.

Delivers

Editor-approved page changes linked to published URLs

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

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

Reduce tool switching and rework while keeping one reviewed record from keyword to published page.

1. Import authorized site pages and sitemap.
2. Research and cluster target keywords.
3. Analyze competitor pages for content and keyword gaps.
4. Generate draft articles and social posts.
5. Suggest on-page optimization changes.
6. Track search rankings over time.
7. Produce SEO audit reports.
8. Publish or update content through the CMS.
9. Post approved content to social channels.
10. Monitor website health and flag issues.
11. Pull Google Search Console data for topics and performance.
12. Check content for AI-written text.
13. Assess link relevance and suggest link-building opportunities.
14. Recommend internal links.
15. Monitor content traffic and SEO performance.
16. Identify underperforming pages and suggest fixes.
17. Generate content topics from trends and analysis.
18. Forecast traffic from recommended changes.
19. Apply grammar and style corrections.
20. Support multi-user collaboration and templates.
21. Compare the reviewed result with the recorded baseline and value assumptions.
22. Capture corrections and named-owner approval before publishing.
23. Export a versioned editor-approved page changes linked to published URLs with source references and unresolved questions.

Everything these tools do, in one app

• AI content generation Creates written content such as blog posts and social media posts using AI.Found in Speedy, On-Page.ai, GetMax and 1 more
• Keyword research Finds and analyzes keywords to target for better search rankings.Found in Speedy, Graphite AI SEO Platform, On-Page.ai
• Competitor analysis Analyzes competitors to find content and keyword opportunities.Found in Speedy, Graphite AI SEO Platform, GetMax
• Content optimization suggestions Provides recommendations to improve content for search engines.Found in Graphite AI SEO Platform, On-Page.ai, Content Codex
• Rank tracking Monitors website search engine rankings over time.Found in Graphite AI SEO Platform
• SEO audit reports Generates reports highlighting SEO issues and areas for improvement.Found in Graphite AI SEO Platform, On-Page.ai, Weekly Content Audit
• CMS integration Connects with content management systems to publish or update content.Found in Graphite AI SEO Platform, Weekly Content Audit
• Social media posting Publishes content directly to social media platforms.Found in Speedy, GetMax
• Website health monitoring Tracks site health and identifies areas needing improvement.Found in Speedy
• Google Search Console integration Uses Google Search Console data for topic recommendations and performance tracking.Found in Speedy
• AI writing detection Checks content for AI-written text to maintain authenticity.Found in On-Page.ai
• Predictive link building Assesses link relevance and suggests link-building opportunities.Found in On-Page.ai
• Internal link recommendations Suggests internal links to improve site structure.Found in On-Page.ai
• Content performance monitoring Tracks content traffic and SEO performance regularly.Found in Weekly Content Audit, GetMax
• Underperforming page identification Finds pages that need improvement and suggests fixes.Found in Weekly Content Audit
• Content topic generation Suggests new content ideas based on trends and analysis.Found in Weekly Content Audit, GetMax
• Traffic forecasting Estimates potential visitor and click increases from recommended changes.Found in Weekly Content Audit
• Grammar and style suggestions Provides grammar and style corrections to improve writing quality.Found in On-Page.ai, Content Codex
• Collaboration tools Allows multiple users to work on content simultaneously.Found in Content Codex
• Customizable templates Offers templates to help start content projects efficiently.Found in Content Codex

What goes in, what comes out

The workflow

1. In
   Start with

   Authorized site pages and sitemap, keyword sets, competitor pages, brand rules and editorial constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect authorized site data

4. 3

   Keyword sets

5. 4

   Competitor pages

6. 5

   Brand rules and editorial constraints

7. 6

   Then follow this sequence: 1

8. Out
   Finish with

   Editor-approved page changes linked to published URLs

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. Final publishing, brand and factual checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Site and keyword setup, Editable content workspace, Audit and delivery. Use a thumbnail gallery for pages and briefs, a large central editing canvas, and a right-hand panel for keywords, competitor references, internal links and comments. Let users compare draft and live versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant page section. Make the task-specific outcome editor-approved page changes linked to published URLs 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 CMS, Google Search Console, social media accounts and analytics. Cloud asset storage, design-file 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: import authorized site pages and sitemap; research and cluster target keywords. 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 marketing teams and content agencies producing website content for search use it to solve "content, keyword, audit and publishing work sits in separate rented tools, so teams rebuild the same page context and lose the link between a recommendation and the published page"?
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 page changes per editorial hour and ranking or traffic movement.
4. Measure, then decide. Track accepted page changes per editorial hour and ranking or traffic movement; 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 site and one CMS connection; final publishing and brand checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: import authorized site pages and sitemap; research and cluster target keywords. Support the remaining modules with operator review: analyze competitor pages for content and keyword gaps; generate draft articles and social posts; suggest on-page optimization changes; track search rankings over time; produce SEO audit reports; publish or update content through the CMS; post approved content to social channels; monitor website health and flag issues; pull Google Search Console data for topics and performance; check content for AI-written text; assess link relevance and suggest link-building opportunities; recommend internal links; monitor content traffic and SEO performance; identify underperforming pages and suggest fixes; generate content topics from trends and analysis; forecast traffic from recommended changes; apply grammar and style corrections; support multi-user collaboration and templates. 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 page changes linked to published URLs. Retain the explicit scope boundary: One site and one CMS connection; final publishing and brand 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 SEO and editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One site and one CMS connection; final publishing and brand checks 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 site package. Offer a monthly production allowance after repeat demand. Quote complex multi-site or specialist content separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved page changes linked to published URLs. 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 one reviewed record from keyword to published page. Demonstrate a concrete editor-approved page changes linked to published URLs using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

In-house marketing teams and content agencies producing website content for search 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 page changes linked to published URLs from a small authorized input set, with a transparent calculation of accepted page changes per editorial hour and ranking or traffic movement and no promised savings.

The first 30 days

1. Week 1: interview five in-house marketing teams and content agencies producing website content for search and inspect a recent example of content, keyword, audit and publishing work sitting in separate rented tools.
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 page changes per editorial hour and ranking or traffic movement, 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 page changes per editorial hour and ranking or traffic movement. 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 page changes per editorial hour and ranking or traffic movement; 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 page changes linked to published URLs. 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 page patterns, keyword clusters and review examples, together with reliable delivery for a narrow search content niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for in-house marketing teams and content agencies producing website content for search. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Speedy, Graphite AI SEO Platform, On-Page.ai, Weekly Content Audit, GetMax and Content Codex, plus freelancers and generic writing tools. Compare this product with the buyer's present method on accepted page changes per editorial hour and ranking or traffic movement. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, crawling and data processing, 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 page changes linked to published URLs. 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 site and one CMS connection; final publishing and brand checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.