Pulse IRInvestor relations
Request Free Ticker Audit

Home / AI Visibility Resource Hub

Turnkey AI Visibility & Terminal Data Scrub Packages ($1,950 / $2,850) View Packages →

PULSE IR | CAPITAL MARKETS TECHNICAL ARCHITECTURE BRIEFS

The AI Visibility Resource Hub

Direct, architectural breakdowns for public microcap and small-cap CEOs, CFOs, and securities counsel. No agency fluff or generic SEO buzzwords—just the exact retrieval mechanics, institutional data pipelines, and schema specifications that govern how ChatGPT, Perplexity, Google AI, FactSet, and TradingView represent your stock.

BRIEF 01 · LLM Retrieval & RAG Architecture 7 min read

Why ChatGPT and Perplexity Are Getting Your Microcap Ticker Wrong

Pain Point: AI search engines bypass your morning press release to synthesize third-party scrapers, message-board archives, and stale shell filings.

When a retail investor or institutional analyst asks an AI search engine about your microcap stock, they aren't looking at your press release from this morning. They are ingesting a messy patchwork of historical SEC filings, unverified forum chatter, third-party data aggregators, and cached shell history. If your digital foundation isn't optimized for Large Language Models, AI engines will hallucinate stale facts, miss your current revenue scale, or blend your ticker with an entirely different company.

  • 01 The RAG Problem
  • 02 The Aggregator Vacuum
  • 03 The Cost of Silence
  • 04 The Fix
BRIEF 02 · Institutional Terminal Hygiene 8 min read

How to Scrub Legacy Reverse-Merger Shell Data Off TradingView & FactSet

Pain Point: Years after a reverse merger or corporate pivot, TradingView, FactSet, and broker portals still list your 2014 shell founders and wrong sector codes.

If your public company went public via a reverse merger or started as a dormant shell years ago, you carry a digital ghost. Even after rebranding, pivoting to high-growth AI, SaaS, or biotech, and scaling millions in revenue, financial charting tools like TradingView and institutional terminals like FactSet and Refinitiv often still display your old shell founders, legacy SIC codes, and defunct business descriptions.

  • 01 The Reverse-Merger Data Trap
  • 02 The TradingView & Charting Terminal Bleed
  • 03 The Institutional Feedback Loop
  • 04 The Turnkey Solution
BRIEF 03 · Entity Disambiguation & Knowledge Graphs 7 min read

The Public Company Guide to Wikidata and AI Knowledge Graphs

Pain Point: Without a verified Wikidata Q-ID binding your CIK, CUSIP, and ticker, LLMs collide your public company with unrelated private brands or foreign entities.

Artificial intelligence search engines do not browse the web like humans do; they navigate a web of structured entities connected by Knowledge Graphs. When an investor asks Perplexity or Google AI a question about your ticker, the model checks Wikidata and structured entity registries first. If your company doesn't have an official, verified Wikidata entity linked to your CIK, ticker, and web domain, AI search engines will either draw a blank or confuse your name with an unrelated brand, foreign entity, or music artist.

  • 01 What is an AI Knowledge Graph?
  • 02 The Ticker Collision Problem
  • 03 Building an Authority Node
BRIEF 04 · On-Site GEO & Technical IR Architecture 7 min read

Why JavaScript-Hidden SEC Filings Kill Your Stock's AI Visibility Score

Pain Point: Your IR site looks sleek to humans, but client-side JS tabs and third-party iframe widgets serve an empty shell to LLM crawlers.

Most corporate investor relations websites are built by web design agencies who prioritize visual aesthetics over machine readability. A classic fatal flaw is housing SEC filings, financial tables, and investor FAQs behind dynamic JavaScript tabs, client-side rendering widgets, or unlabelled accordions. To a human visitor, the page looks modern. To an AI crawler or RAG bot, the page is an empty container of raw code—forcing the model to ignore your site entirely.

  • 01 The Crawler Blind Spot
  • 02 The Power of Server-Rendered HTML
  • 03 The Role of Corporation & FAQPage Schema
Turnkey AI Visibility & Terminal Data Scrub Packages ($1,950 / $2,850) View Packages →

24-Hour Ticker Diagnostic

Want to See Exactly What AI & Financial Terminals Say About Your Ticker Today?

Request a complimentary 24-hour AI Visibility & Institutional Data Audit or inspect our turnkey $1,950 Off-Site and $2,850 Full GEO + Off-Site packages.

Request Your Free Ticker Audit › View Turnkey Packages ($1,950 / $2,850)