Complete AI Training

AI app for marketing · no coding needed

Organic search evidence and content optimization workspace

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

Made for: In-house marketing teams and SEO agencies managing organic search for multiple sites

What Organic search evidence and content optimization workspace looks like
Open the demo For members · a working demo with sample data

What it does for you

The problem

Keyword, content, competitor and ranking work is split across several rented tools, so evidence, decisions and reporting do not stay in one owned record.

What it gives you

Reviewed organic search action plan linked to tracked pages

What you give it

Keyword exportspage contentcompetitor pagesSearch Console databacklink records

Build your own version of Serpgram, KIVA and more

One app with what these 10 AI tools do, yours to keep and change: Serpgram, KIVA, Surfer, Rankify, RivalFlow AI, RivalFlowAI, SEO Keyword Strategist, Editby 2.0, Gauge, AI SEO My Site.

Everything these tools do, in one app

  • Keyword Research Finds relevant search terms with data such as search volume and difficulty.Found in Serpgram, KIVA, Surfer and 4 more
  • Content Optimization Gives real-time suggestions to improve content for better search rankings.Found in Serpgram, KIVA, Surfer and 2 more
  • Competitor Analysis Examines competitors' pages and strategies to find opportunities and gaps.Found in Serpgram, Surfer, SEO Keyword Strategist and 1 more
  • SERP Analysis Analyzes top-ranking pages to understand ranking factors and content types.Found in KIVA, Surfer
  • Content Outline Generation Automatically creates structured content plans with keywords and user intent.Found in KIVA, Gauge
  • Google Search Console Integration Connects to Google Search Console to track keyword performance and opportunities.Found in KIVA, RivalFlowAI
  • SEO Audit Scans existing pages to identify SEO issues and areas for improvement.Found in Surfer, AI SEO My Site
  • Content Planner Organizes and schedules content based on keyword clusters and performance data.Found in Surfer, SEO Keyword Strategist
  • Keyword Clustering Groups keywords into targeted clusters for focused content strategies.Found in KIVA, SEO Keyword Strategist
  • Search Intent Insights Prioritizes keywords based on user intent to improve targeting accuracy.Found in KIVA, SEO Keyword Strategist
  • Content Idea Generation Suggests relevant content topics based on keywords and niche.Found in Editby 2.0, Gauge
  • Performance Monitoring Tracks content rankings and provides regular reports on SEO progress.Found in Editby 2.0, AI SEO My Site
  • Internal Link Architecture Automatically builds internal linking structures to boost indexing and SEO.Found in Editby 2.0
  • Backlink Tracking Tracks backlinks and recommends link-building opportunities.Found in AI SEO My Site
  • Prompt Testing Tests prompts across AI models to track citations and brand visibility.Found in Gauge
  • Competitor Monitoring Monitors competitor products, pricing, and advertising activities in real time.Found in RivalFlow AI
  • Custom Alerts Sends customizable alerts for significant market changes.Found in RivalFlow AI
  • AI Content Generation Generates SEO-optimized content and paraphrases for compliance.Found in Serpgram, KIVA

How it works, step by step

  1. Import keyword lists and page URLs
  2. Estimate search volume and difficulty from supplied data
  3. Group keywords into intent-based clusters
  4. Generate structured content outlines with target terms
  5. Score existing pages against optimization rules
  6. Suggest real-time on-page edits
  7. Compare competitor pages and content gaps
  8. Analyze top-ranking SERP pages and content types
  9. Connect Search Console data to tracked terms
  10. Run page-level SEO audits and issue lists
  11. Schedule content against clusters and performance
  12. Suggest content topics for the niche
  13. Map internal links across the site
  14. Track backlinks and link-building targets
  15. Test prompts across models for citation and brand visibility
  16. Monitor competitor pages, pricing and ads
  17. Send custom alerts on significant changes
  18. Draft SEO-optimized copy for review
  19. Compare the reviewed result with the recorded baseline and value assumptions
  20. Capture corrections and named-owner approval before publishing
  21. Export a versioned reviewed organic search action plan linked to tracked pages 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 Organic search evidence and content optimization workspace 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 Organic search evidence and content optimization workspace 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 links4 KB
  • questions.mdQuestions to answer before you build2 KB
  • prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
  • prompt-vps.mdThe same build on your own server (Docker)26 KB
  • spec.jsonData model, API, AI pipeline, acceptance criteria13 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 marketing teams and SEO agencies managing organic search for multiple sites, convert keyword exports, page content, competitor pages, Search Console data and backlink records into a reviewed organic search action plan linked to tracked pages. The benefit is a testable hypothesis, measured through accepted optimization actions 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 keyword exports, page content, competitor pages, Search Console data and backlink records, then follow this sequence: 1. Import keyword lists and page URLs. 2. Estimate search volume and difficulty from supplied data. 3. Group keywords into intent-based clusters. 4. Generate structured content outlines with target terms. 5. Score existing pages against optimization rules. 6. Suggest real-time on-page edits. 7. Compare competitor pages and content gaps. 8. Analyze top-ranking SERP pages and content types. 9. Connect Search Console data to tracked terms. 10. Run page-level SEO audits and issue lists. 11. Schedule content against clusters and performance. 12. Suggest content topics for the niche. 13. Map internal links across the site. 14. Track backlinks and link-building targets. 15. Test prompts across models for citation and brand visibility. 16. Monitor competitor pages, pricing and ads. 17. Send custom alerts on significant changes. 18. Draft SEO-optimized copy for review. Resolve uncertain cases with qualified reviewers, approve reviewed organic search action plan linked to tracked pages, and measure accepted optimization actions 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. Search volume and difficulty estimates depend on supplied data sources; final publishing and brand checks remain with the marketing owner. A model suggestion is never a verified fact, professional decision or authorization to act.

Safeguards

Preserve brand voice, source attribution, quotation accuracy and usage permissions. Marketing owners approve substantive changes and publishing scope. One site and one approved data source set; final publishing and brand checks remain with the marketing owner. 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 approved data source set; final publishing and brand checks remain with the marketing owner. Implement one approved input format, a bounded representative case set and the first two task modules: import keyword lists and page URLs; estimate search volume and difficulty from supplied data. 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 keyword exports, page content, Search Console data and permitted research sources. Cloud asset storage, CMS import/export and analytics 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.

The screens in detail

Primary screens: Research and evidence intake, Editable optimization workspace, Client report and delivery. Use a thumbnail gallery for sites and projects, a large central editing canvas, and a right-hand panel for keywords, 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 page or keyword. Make the task-specific outcome reviewed organic search action plan linked to tracked pages visible beside its evidence, review state and value baseline.