
Search demand and content gap workbench
Reduce tool sprawl and manual reporting while keeping search decisions evidence-backed.
- For
- In-house SEO leads and content managers responsible for organic search growth
- Solves
- Keyword research, competitor gaps, content briefs and rank tracking sit in separate rented tools, so evidence is scattered and recommendations are hard to defend.
- Delivers
- Reviewer-approved content and technical recommendations linked to source evidence
- Built in
- about 5 weeks of creation time, MVP in 5 days
- Investment
- $11,500 for the MVP, $39,000 for the full product
- Run it
- Inside your business, or as part of your offer to clients
What it does
Reduce tool sprawl and manual reporting while keeping search decisions evidence-backed.
- Import permitted keyword and ranking data.
- Discover keywords with volume and difficulty metrics.
- Analyze competitor pages for content gaps.
- Identify backlink opportunities from permitted sources.
- Suggest on-page content optimizations.
- Track ranking changes over time.
- Generate People Also Ask and question ideas.
- Produce structured blog post outlines.
- Generate unconventional topic options.
- Run technical SEO audits on crawled pages.
- Integrate live data from connected SEO tools.
- Draft keyword and market SEO strategies.
- Compare the reviewed result with the recorded baseline and value assumptions.
- Capture corrections and named-owner approval before consequential use.
- Export a versioned reviewer-approved content and technical recommendations linked to source evidence with source references and unresolved questions.
Everything these tools do, in one app
- Keyword research Discovers relevant keywords with metrics like search volume and difficulty to guide content decisions.Found in SearchOptimizer, Keywrds.ai, SEO AI Agent
- Competitor analysis Analyzes competitor websites to identify content gaps and backlink opportunities.Found in SearchOptimizer, SEO AI Agent
- Content optimization suggestions Provides recommendations based on SEO best practices to improve content.Found in SearchOptimizer
- Performance tracking Tracks ranking changes and delivers regular reports on SEO progress.Found in SearchOptimizer
- User-friendly dashboard Offers an intuitive interface for easy navigation and quick access to insights.Found in SearchOptimizer
- Automated question ideation Generates questions, including Google's 'People Also Ask' queries, to address common user queries.Found in Keywrds.ai
- Blog post outlines Creates structured outlines to aid in content development.Found in Keywrds.ai
- Unconventional topic generation Produces thought-provoking topics to encourage creativity and differentiation in content strategy.Found in Keywrds.ai
- Technical SEO audits Detects site issues and improvement areas to enhance technical SEO.Found in SEO AI Agent
- Real-time data integration Integrates with multiple SEO tools to provide up-to-date data for analysis.Found in SEO AI Agent
- SEO strategy generation Generates comprehensive SEO strategies tailored to specific keywords and markets.Found in SEO AI Agent
What goes in, what comes out
- Permitted keyword data
- Competitor pages
- Site crawl findings
- Ranking history
AI drafts, people review. Evidence-backed analysis and reporting workspace.
- Reviewer-approved content
- Technical recommendations linked to source evidence
How it works
The workflow
- InStart with
Permitted keyword data, competitor pages, site crawl findings and ranking history
- 1
Confirm the buyer's problem and scope
- 2
Collect permitted keyword data
- 3
Competitor pages
- 4
Site crawl findings and ranking history
- 5
Then follow this sequence: 1
- OutFinish with
Reviewer-approved content and technical recommendations linked to source evidence
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. Ranking data depends on third-party providers; final content and technical changes remain editorial and engineering decisions. A model suggestion is never a verified fact, professional decision or authorization to act.
What your team sees
Primary screens: Data sources and crawl setup, Analysis workspace, Client-ready report. Use a project gallery for sites and campaigns, a large central analysis canvas, and a right-hand panel for evidence, metrics and comments. Let users compare keyword sets, competitor pages and content versions side by side. Display draft, changes requested and approved states. Provide a shareable report link with comments anchored to the relevant finding. Make the task-specific outcome reviewer-approved content and technical recommendations linked to source evidence visible beside its evidence, review state and value baseline.
Accounts and administration
Project ownership, data source credentials, crawl schedules, client comments, approval states, usage allowances, report 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 analytics, search console and CMS accounts; permitted keyword and ranking data providers; competitor page sources. 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.
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
Scoping call
Day 1Thirty 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
MVP
5 daysOne buyer segment, one recurring use case; first modules: import permitted keyword and ranking data; discover keywords with volume and difficulty metrics; analyze competitor pages for content gaps; identify backlink opportunities from permitted sources. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will in-house SEO leads and content managers responsible for organic search growth use it to solve "keyword research, competitor gaps, content briefs and rank tracking sit in separate rented tools, so evidence is scattered and recommendations are hard to defend"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Approved recommendations per analyst hour and ranking movement on tracked terms.
- Measure, then decide. Track approved recommendations per analyst hour and ranking movement on tracked terms; 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 market; final content and technical changes remain editorial and engineering decisions. Implement one approved data source format, a bounded representative case set and the first four task modules: import permitted keyword and ranking data; discover keywords with volume and difficulty metrics; analyze competitor pages for content gaps; identify backlink opportunities from permitted sources. 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 data source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around reviewer-approved content and technical recommendations linked to source evidence. Retain the explicit scope boundary: One site and one market; final content and technical changes remain editorial and engineering decisions.
What the build depends on. Data source credentials, crawl and preview, asynchronous analysis jobs, editable version history, reviewer access and tested export formats. High-fidelity search analysis requires specialist SEO QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One site and one market; final content and technical changes remain editorial and engineering decisions.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: import permitted keyword and ranking data; discover keywords with volume and difficulty metrics; analyze competitor pages for content gaps; identify backlink opportunities from permitted sources. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$39,000about 5 weeks of creation time · start with the MVP from $11,500
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.
| Stage | Hosting and infrastructure | AI usage | Total per month |
|---|---|---|---|
| MVP and paid pilotabout 3 customers | $30–$60 | $80–$160 | $110–$220 |
| Full productabout 50 customers | $110–$210 | $880–$1,750 | $990–$1,960 |
Run it or resell it
For your own team
In-house SEO leads and content managers responsible for organic search growth run it inside the business: permitted keyword data, competitor pages, site crawl findings and ranking history in, reviewer-approved content and technical recommendations linked to source evidence out, reviewed by your people.
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
#273891 - accent
#b8c954 - surface
#e4e7f1 - ink
#22201e
- Headings
- Fraunces
- Text
- Inter
- 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 site and market. Offer a monthly production allowance after repeat demand. Quote complex multi-site or enterprise integrations separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved content and technical recommendations linked to source evidence. 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 reporting while keeping search decisions evidence-backed. Demonstrate a concrete reviewer-approved content and technical recommendations linked to source evidence using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
In-house SEO leads and content managers responsible for organic search growth professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewer-approved content and technical recommendations linked to source evidence from a small authorized input set, with a transparent calculation of approved recommendations per analyst hour and ranking movement on tracked terms and no promised savings.
The first 30 days
- Week 1: interview five in-house SEO leads and content managers responsible for organic search growth and inspect a recent example of keyword research, competitor gaps, content briefs and rank tracking sitting in separate rented tools.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure approved recommendations per analyst hour and ranking movement on tracked terms, 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: Approved recommendations per analyst hour and ranking movement on tracked terms. 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
Approved recommendations per analyst hour and ranking movement on tracked terms; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.
Retention and expansion
Repeat the workflow when the buyer again needs reviewer-approved content and technical recommendations linked to source evidence. 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 keyword sets, competitor patterns and review examples, together with reliable delivery for a narrow search niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for in-house SEO leads and content managers responsible for organic search growth. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
SearchOptimizer, Keywrds.ai, SEO AI Agent, and the buyer's present mix of rented SEO subscriptions and spreadsheets. Compare this product with the buyer's present method on approved recommendations per analyst hour and ranking movement on tracked terms. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.
Main delivery costs
Data provider access, crawl and 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 reviewer-approved content and technical recommendations linked to source evidence. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve source attribution, data usage permissions and editorial accuracy. Named owners approve substantive content and technical changes and publication scope. One site and one market; final content and technical changes remain editorial and engineering decisions. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.