Total Dizajn / AI & Data Tools
Automate the audit. Engineer the visibility.
Python, AI crawler audits, LLMO monitoring and custom data pipelines — the technical layer behind modern SEO and Generative Engine Optimisation.
SEO tools stop at the export button. The real edge starts where the CSV file ends.
Screaming Frog, Search Console and Semrush give you data. Python turns that data into scale — merged datasets, crawler access checks, AI citation tracking and reporting that updates itself instead of being rebuilt by hand every month.
Core proposition
One data layer. One pipeline. Every discovery surface.
Google Search, AI Overviews, ChatGPT, Perplexity and crawler bots each leave a data trail. Total Dizajn connects those trails into a single, monitored system.
Python-built tools for AI Search & SEO visibility.
Each tool can run on its own, but the real value comes from feeding them all into one shared dataset and reporting layer.
AI crawler access audits
Checking robots.txt and server access for GPTBot, ClaudeBot, Google-Extended and PerplexityBot across one site or an entire client portfolio at once.
Python-powered technical SEO
Parsing crawl exports and server logs with pandas to surface orphan pages, thin content clusters and crawl-budget waste across hundreds of thousands of URLs.
LLMO & GEO monitoring
Tracking how a brand appears — or fails to appear — in AI Overviews, ChatGPT and Perplexity answers, and following that share of voice over time.
RAG & embedding simulation
Building small retrieval pipelines with embeddings and vector search to test how an LLM is likely to chunk, retrieve and cite a page.
API integrations & reporting
Pulling Search Console, GA4 and SEO platform data through their APIs and merging it into one dataset instead of five manual exports.
Structured data automation
Bulk-generating and validating JSON-LD schema across large sites, keeping entity and product data consistent at scale.
NLP content & entity audits
Using NLP libraries to score topical depth, entity coverage and semantic gaps against competitor content.
Custom dashboards
Building lightweight, self-updating dashboards instead of relying on expensive BI tools for recurring reporting.
How the pipeline works
Data first. Visibility second.
Define the visibility problem
Blocked AI crawlers, missing AI citations, fragmented reporting or SEO data spread across too many tools.
Audit with Python
Crawl exports, server logs, robots.txt files and API data processed at a scale manual review cannot reach.
Build the data pipeline
Pandas, API integrations and embeddings connected into one repeatable, versioned workflow.
Monitor AI Search & GEO signals
Tracking AI crawler access and citation appearances across AI Overviews, ChatGPT and Perplexity on a schedule.
Automate reporting
Custom dashboards that update on their own, replacing recurring manual exports and spreadsheet merges.
Measure the business effect
AI citation share, crawler access, technical health and qualified traffic tracked as one connected picture.


Founder-led automation
“A tool is only as useful as the pipeline built around it.”
Predrag Petrović is the founder of Total Dizajn and works across technical SEO, AI SEO, GEO, Python automation and data-driven reporting for search and generative engines.
FAQ
AI & Data Tools questions.
What are Total Dizajn's AI & Data Tools services?
Why combine Python with SEO and AI Search?
Can Python replace tools like Screaming Frog or Semrush?
Does this include GEO and LLMO monitoring?
Do you build custom dashboards?
Stop exporting. Start automating.
Share your site, tool stack and reporting pain points. Total Dizajn will identify where Python and AI data tooling create the biggest gain for your SEO and GEO visibility.
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