MOLAVI.PRO
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(a)Vision

Taghi Molavi / InTen

Taghi MolaviAI Architect | GEO & SEO Strategist

Taghi Molavi is an AI Architect and GEO & SEO Strategist. He builds AI systems, studies search and answer-engine visibility, founded Inten, and created GEO-Scope. His work helps brands become easier to understand in Google and AI engines such as ChatGPT, Perplexity, Gemini and AI Overviews.

Founder of Inten and creator of GEO-Scope. Explore Technical Proof, About, and open-source systems.

View Technical ProofView Services
Taghi Molavi
Taghi MolaviInTen

(b) Problems

Project focus

Explore problem-solving case studies
  1. 01

    AI Visibility and GEO

    Helping brands appear in ChatGPT, Perplexity, Gemini, Google AI Overviews and answer engines.

  2. 02

    Service pages and lead capture

    Building landing pages and sales content that help visitors submit a project enquiry.

  3. 03

    SEO and topical authority

    Improving content structure, entity information, structured data and topic clusters.

  4. 04

    Digital twins and automation

    Connecting forms, Telegram, brand memory and initial responses to follow up on enquiries.

(c) Research

RESEARCH

R-01 · October 10, 2026
Methodology Paper

MAVI: The Molavi AI Visibility Index

Official specification of the Molavi AI Visibility Index (MAVI). Architectural separation of readiness from observed visibility, mathematical weighting, and empirical benchmark protocols.

MAVI: The Molavi AI Visibility Index
R-02 · 2 September 2026
Open-source research

SAGE: Open-Source SEO, AEO and GEO Audit Engine

A direct review of Taqi Molavi’s public repository: a Python engine for technical SEO, entity answers and generative retrieval readiness.

SAGE: Open-Source SEO, AEO and GEO Audit Engine

(d) Built systems

Open-source systems

OSS / 01★ 4

geo-scope

A practical open-source framework for comparing AI answers across many prompts instead of trusting one lucky screenshot.

Created by Taghi Molavi

GitHubPyPIHugging Face[Python][MIT]↗
OSS / 02★ 8

mcp-agent-skills-hub

Reusable AI-agent skills and MCP configurations for Antigravity, Cursor, Codex, and Claude.

GitHub[JavaScript][MIT]↗
OSS / 03★ 1

answerpath-geo

Turns real customer questions into a map of needs, objections, and decision stages before a team writes another page.

Created by Taghi Molavi

GitHubPyPIHugging Face[Python][MIT]↗
OSS / 04★ 1

sage-audit

A three-layer audit that asks whether a page is technically discoverable, entity-clear, and resilient in retrieval.

Created by Taghi Molavi

GitHubPyPIHugging Face[Python][MIT]↗

(e) Evidence

Source-backed signals from delivery, media operations, telemetry, and empirical benchmarks.

1000+
PROJECTS

SEO, Growth & Digital Strategy

20+
MEDIA BRANDS

Owned, Operated & Contributed

450+
WEBSITES

Managed, Optimized & Grown

2000+
TRAINING HOURS

Workshops, Courses & Mentorship

Independent Verification

Inspect Search Console Telemetry & Empirical Proof

Verified Google Discover traffic growth telemetry, SHA-256 hashed GEO-Scope benchmarks, and documented architectural case studies.

Explore Technical Proof

How I work

I combine citable content with verifiable technical foundations to assess and improve how a brand appears in search and AI answers.

(f) MY JOURNEY

  1. 01 / 04

    SEO

    Started with search, content, and digital growth.

  2. 02 / 04

    Media

    Built and scaled media platforms and digital brands.

  3. 03 / 04

    Systems

    Designed systems, infrastructure, and automations at scale.

  4. 04 / 04

    Future

    Building for the future of the internet and digital civilization.

(g) Writing

FEATURED WRITING

From the First Websites to AI Visibility
Article · 26 July 2026

From the First Websites to AI Visibility

A 20-year story of one changing question: why some brands become visible while others, despite real quality, are forgotten by the market's digital memory.

MAVI Methodology Note v1.0: Definitions, Formula, Missing Data and Reproducibility
Analytical Research · October 10, 2026

MAVI Methodology Note v1.0: Definitions, Formula, Missing Data and Reproducibility

AI Visibility Across Engines, Languages and Intents: Why One Score Hides the Real Story
Analytical Research · October 10, 2026

AI Visibility Across Engines, Languages and Intents: Why One Score Hides the Real Story

From Citation Selection to Citation Absorption: Why Being Listed Is Not the Same as Shaping the Answer
Analytical Research · October 10, 2026

From Citation Selection to Citation Absorption: Why Being Listed Is Not the Same as Shaping the Answer

(h) Project services

I help brands become visible in Google, ChatGPT, and answer engines.

Focused on commercial outcomes: audits, service pages, schema, entity signals, content systems, and lead capture.

For brands that need leads and authority, not just traffic.

Technical Proof →All Services →Request project review ↗
1
Fast start

AI Visibility & GEO Audit

View specification

Review how your brand appears in AI answers, Google AI Overviews, Perplexity, and search.

  • Current visibility report
  • Content and authority gaps
  • 30-day action map
2
Monthly project

Optimization & Authority

View specification

Improve key pages, schema, topical authority, and source signals that make the brand citable.

  • Service and landing pages
  • Structured data and entity work
  • Multilingual content
3
Custom

Digital Twin Lead System

View specification

Connect site, forms, Telegram, brand memory, and first-response flows.

  • Lead forms and notifications
  • Lead memory
  • Brand content integration