Complete AI Training

AI app for marketing · no coding needed

Search demand and content gap workbench

Reduce tool sprawl and manual reporting while keeping search decisions evidence-backed.

Made for: In-house SEO leads and content managers responsible for organic search growth

What Search demand and content gap workbench looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Keyword research, competitor gaps, content briefs and rank tracking sit in separate rented tools, so evidence is scattered and recommendations are hard to defend.

What it gives you

Reviewer-approved content and technical recommendations linked to source evidence

What you give it

Permitted keyword datacompetitor pagessite crawl findingsranking history

Build your own version of SearchOptimizer, Keywrds.ai and more

One app with what these 3 AI tools do, yours to keep and change: SearchOptimizer, Keywrds.ai, SEO AI Agent.

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

How it works, step by step

  1. Import permitted keyword and ranking data
  2. Discover keywords with volume and difficulty metrics
  3. Analyze competitor pages for content gaps
  4. Identify backlink opportunities from permitted sources
  5. Suggest on-page content optimizations
  6. Track ranking changes over time
  7. Generate People Also Ask and question ideas
  8. Produce structured blog post outlines
  9. Generate unconventional topic options
  10. Run technical SEO audits on crawled pages
  11. Integrate live data from connected SEO tools
  12. Draft keyword and market SEO strategies
  13. Compare the reviewed result with the recorded baseline and value assumptions
  14. Capture corrections and named-owner approval before consequential use
  15. Export a versioned reviewer-approved content and technical recommendations linked to source evidence with source references and unresolved questions

Build it yourself with your AI system

Build this app yourself, no coding needed

Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.

Sign in to see how to build it yourself

Build a quick version to try, or get the full app pack for Search demand and content gap workbench with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.

Sign in Become a member

4 Have it built for you days to a few weeks

Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Search demand and content gap workbench with you.

Have Nexibeo build it

What's in the app pack

Included in the Complete AI Training membership.

  • The building instructions your AI follows, step by step
  • The questions your AI will ask you about your business before it starts
  • A clickable demo you can open in your browser, to see how it should work
  • A detailed blueprint of the screens, the information it keeps and the checks it runs

Become a member to get the app packAlready a member? Sign in

The files, for the technically curious
  • START-HERE.mdHow to build it with your own AI (read first)3 KB
  • README.mdOverview and links3 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
  • prompt-vps.mdThe same build on your own server (Docker)25 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
  • demo/index.htmlThe working demo on sample data199 KB

Questions

Do I need to know how to code?

No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.

What does it cost?

The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.

How long does it take?

The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.

Can I change it to fit my business?

Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.

More detailsHow the AI works, safeguards and what to build first

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, convert permitted keyword data, competitor pages, site crawl findings and ranking history into reviewer-approved content and technical recommendations linked to source evidence. The benefit is a testable hypothesis, measured through approved recommendations per analyst hour and ranking movement on tracked terms; do not assume that AI output alone produces business value.

Confirm the buyer's problem and scope, collect permitted keyword data, competitor pages, site crawl findings and ranking history, then follow this sequence: 1. Import permitted keyword and ranking data. 2. Discover keywords with volume and difficulty metrics. 3. Analyze competitor pages for content gaps. 4. Identify backlink opportunities from permitted sources. 5. Suggest on-page content optimizations. 6. Track ranking changes over time. 7. Generate People Also Ask and question ideas. 8. Produce structured blog post outlines. 9. Generate unconventional topic options. 10. Run technical SEO audits on crawled pages. 11. Integrate live data from connected SEO tools. 12. Draft keyword and market SEO strategies. Resolve uncertain cases with qualified reviewers, approve reviewer-approved content and technical recommendations linked to source evidence, and measure approved recommendations per analyst hour and ranking movement on tracked terms against a documented baseline.

How the AI works

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.

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.

What to build first

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.

What it can connect to

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.

The screens in detail

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.