GEO — Generative Engine Optimization
Measure your positioning in AI search engines.
Goal
Know what AI search engines say about you when a customer asks a question, and improve your positioning.
How ·Automated queries on Perplexity / ChatGPT / Google AI Mode / Gemini + competitor benchmark + optimization recommendations.
Solution for analyzing and tracking your visibility in LLM-based conversational engines: Perplexity, ChatGPT, Google AI Mode, Gemini. The platform queries these engines on your target queries, measures your positioning against competitors, and identifies optimization opportunities.
Key features
- Position tracking on Perplexity, ChatGPT, Google AI Mode, Gemini
- Comparative analysis against your direct competitors
- Detection of mentions, citations, and sources used by LLMs
- Automated periodic reports
- Content recommendations to improve visibility
Technologies
LLM APIs (Perplexity, OpenAI, Google), query orchestration, data warehouse.
Digital Audit 360° — Security, UX, SEO, performance, compliance
Complete and actionable view of your digital presence, across all critical dimensions.
Goal
Measure in numbers the state of your digital presence and know where to start improving it.
How ·Crawl + security scans + SEO benchmarks + compliance audit → weighted score + prioritized action plan.
In-depth audit on all dimensions of your digital presence: application and HTTP security, user experience and accessibility, performance, organic SEO, legal compliance, social presence, branding, and brand consistency. Delivered with a weighted global score and an action plan prioritized by impact.
Key features
- Security: HTTPS, headers (CSP, HSTS, Permissions-Policy), OWASP Top 10, certificates
- UX and accessibility: journeys, WCAG 2.1, Quebec RAA, mobile-first, keyboard navigation
- Performance: Core Web Vitals, mobile speed, asset optimization
- SEO: indexing, keywords, internal linking, metadata, backlinks
- Compliance: GDPR, Quebec Bill 25, cookies, legal notices
Technologies
Custom crawlers, security scanners, professional SEO tools, reporting automation and PDF generation.
20
In progress / availableATLAS Robotics — Industrial robot code analysis and optimization
Read, document, and optimize legacy KRL, RAPID, URScript, Karel, or Ladder code. No cross-brand migration, no safety recertification — just understand and improve what is already running.
Goal
Read, document and optimize industrial robot code (KRL, RAPID, URScript, Karel, Ladder) without safety recertification.
How ·Robot-code specialized AI analysis + parsers + auto documentation + optimization recommendations validated by humans.
Application of the ATLAS methodology (proven on ten legacy migration POCs from COBOL, Delphi, BizTalk to modern stacks) to multi-brand industrial robotics. ATLAS Robotics addresses a recurring pain of industrial sites: robot code written ten or fifteen years ago by departed operators, without documentation, that no one dares touch for fear of breaking a production cell. We read, document, map, identify possible optimizations, simulate improvements before any deployment. The client retains control over the actual production deployment, which remains piloted by their certified integrator.
Key features
- Multi-brand robot code archeology: KUKA (KRL), ABB (RAPID), Universal Robots (URScript), Fanuc (Karel + TPP), Siemens (Ladder + SCL)
- Automatic mapping: program structure, I/O dependencies, machine states, safety conditions, dead code
- AI-assisted trajectory optimization validated in simulator (URSim, RobotStudio, KUKA.Sim, ROBOGUIDE)
- Audit of safety practices in code: interrupt override, human zone speed, post-error state reset
- Data twin generation from code: kinematic extraction + I/O map for predictive analytics feeding
Technologies
ATLAS methodology (10 steps, 10 principles, 56 learnings, 9 discrepancies, 19 pitfalls) transposed to KRL/RAPID/URScript/Karel/Ladder. LLM (Claude, GPT) with specialized parsers. Vendor simulators (URSim, RobotStudio, KUKA.OfficeLite, ROBOGUIDE, PLCSIM Advanced).
ATLAS Legacy — AI-assisted modernization of COBOL, Delphi, and BizTalk applications
Read, understand, and rebuild critical legacy code with proven functional parity — AI-assisted, human-validated.
Goal
Understand and regain control of critical legacy code (COBOL, Delphi, BizTalk) without rewriting everything.
How ·AI legacy code analysis + parsers + auto documentation + reconstruction validated by functional parity tests.
Productized application of Access International's ATLAS methodology (10 steps, 9 principles, 56 learnings, 19 pitfalls) to legacy modernization: COBOL mainframe, Delphi desktop, BizTalk middleware. The promise is not automatic translation of a program: it is **predictability of the engagement** — a discrepancy registry signed as a contractual deliverable, measured functional parity, governed inherited debt. Ten internal POCs on public code (IBM carddemo, GenApp, CBSA, Raptor, BizTalk Assurance) have stabilized the method before any client mission.
Key features
- Discovery phase: automatic code mapping extraction (programs, copybooks, JCL, DB schemas, dependencies), dead-code vs. critical-code classification
- Atlas phase: identified pattern registry (39 stabilized COBOL patterns, 9 BizTalk patterns), explicit target choice (TypeScript, Java, .NET depending on constraints)
- AI-assisted migration phase: LLM-guided generation (Claude, GPT) under senior-architect control, with equivalence checkpoints at each step
- Discrepancy registry signed as a contractual deliverable — every gap between source and target is documented, arbitrated, and signed
- Automated functional parity tests: replay historical test sets on target, measure equivalence rate before cutover
Technologies
ATLAS methodology (10 steps, 9 principles, 56 learnings, 19 pitfalls, 44 discrepancies consolidated over 10 internal POCs). Target stack varies by client constraint: TypeScript / Node.js on Cloudflare Workers, Java Spring Boot, .NET 8, or Azure Logic Apps for BizTalk. Claude and GPT-4 LLMs for assistance, never autonomous.