What does "AI visibility" mean for my business?

When someone asks ChatGPT, Claude, or Gemini "what is the best..." or "where can I find...", AI gives specific recommendations. AI visibility is a measure of how often — and how positively — these AI platforms mention your business. It's the new version of being on the first page of Google, except now there are no pages — just one answer.

Which AI platforms do you monitor?

Pendium monitors ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, and Google AI Overviews — seven major AI platforms that consumers use to research local services. We run real queries that your customers actually ask and analyze the responses for mentions of your business, competitors, and industry topics.

How does Pendium improve my visibility?

Three ways. First, we identify the exact queries and topics where you're invisible. Second, we generate AI-optimized content — articles, guides, social posts — designed to help AI agents understand your business and recommend your services to the right people. Third, we continuously monitor to track improvement and find new opportunities. Most clients see measurable improvement within 60 days.

How long until I see results?

You'll get your first visibility report within minutes of signing up. Actual visibility improvement varies, but our clients typically see a 47% average improvement within 60 days. Some see results faster — it depends on your current online presence and how competitive your local market is.

Do I need to be technical to use this?

Not at all. Enter your website URL and Pendium handles everything: scanning AI platforms, analyzing your visibility, generating content, and tracking improvement. The dashboard is designed for business owners, not engineers. If you can check your email, you can use Pendium.

What makes this different from SEO?

Traditional SEO optimizes for Google's search rankings — blue links on a results page. AI visibility is different: AI doesn't show links, it gives direct answers. Even if you rank #1 on Google, ChatGPT might recommend a competitor. Pendium optimizes for the new paradigm — making sure AI platforms know about, trust, and recommend your business.

Pricing

Get a demo

Extend

Visibility1

Vibe50

Businesses/Enterprise Software/Extend

AI Visibility & Sentiment

Extend

Extend is an AI-powered document processing platform that helps enterprises parse, extract, and transform unstructured documents into structured data with production-ready accuracy. The company serves leading AI teams across healthcare, financial services, real estate, and logistics industries, processing millions of pages daily.

Active Monitoring

extend.ai

Enterprise Software Startups

AI Visibility Score

1/100

Invisible

Sentiment Score

50/100

Score by Reach

How often this business is recommended to users across different types of conversations — from direct product queries to broader open-ended conversations where AI could recommend this company's products and services

core

AI Perception

Key Takeaways

How AI platforms collectively perceive and describe Extend today.

Extend is currently a ghost in the enterprise document processing landscape, ceding nearly the entire market conversation to competitors like Docling and Unstructured.io during critical RAG and LLM pipeline searches. This total absence across Claude, Gemini, and Google AI Overviews represents a critical failure to capture the high-intent 'PDF to Markdown' traffic that is currently defining the category's future.

Value Proposition

Production-ready document processing with 99%+ accuracy that outperforms legacy OCR, open source, and foundation models—enabling teams to ship reliable document pipelines in minutes instead of months.

Overview

Mission

Transform how the world works with unstructured data by helping builders ship applications built on unstructured data in the world's most critical industries.

Products & Services

Parse API - converts unstructured documents into LLM-ready markdownExtract API - extracts structured data into any schemaSplit API - segments multi-document files into individual subdocumentsClassify API - categorizes documents into pre-defined typesEdit API - detects and fills form fields programmatically

Current State

Visibility Landscape

A high-level view of how Extend performs across AI platforms, broken down by strategic reach level — from core brand queries to growth opportunities.

	ChatGPT	Claude	Gemini	AI Overviews
Reputation Brand recognition & direct queries	7	0	0	0
Core Topics Product/service category queries	—	—	—	—
Growth Areas Adjacent, aspirational & visionary	—	—	—	—

ChatGPT

Claude

Gemini

AI Overviews

Reputation

Brand recognition & direct queries

Core Topics

Product/service category queries

—

Growth Areas

Adjacent, aspirational & visionary

—

Competitive Landscape

Docling

21 mentions

Unstructured.io

21 mentions

Marker

19 mentions

AWS Textract

19 mentions

LlamaIndex

18 mentions

Tesseract

18 mentions

Loading visibility matrix...

Analysis

Insights & Recommended Actions

What's working, what's not, and specific steps to improve Extend's AI visibility.

Key Findings

Strength

Maintains a minimal 10% foothold within ChatGPT responses, indicating some legacy awareness in the oldest training data sets.

Strength

Shows marginal resonance with Scalability-Focused Software Architects, the only persona currently acknowledging the brand's existence.

Gap

Zero visibility across Claude, Gemini, and AI Overviews, meaning the brand is effectively excluded from the modern AI search ecosystem.

Recommended Actions

Publish technical 'How-To' guides specifically for 'PDF to Markdown' conversion for RAG pipelines.

Competitors like Docling and Marker are capturing all traffic for this high-growth use case; Extend needs indexable, technical content to enter these LLM context windows.

Develop and distribute API-focused documentation targeting the Scalability-Focused Software Architect.

This is the only persona showing a flicker of awareness; doubling down here provides the path of least resistance for initial visibility gains.

Audit and update structured data and site architecture to facilitate ingestion by Claude and Gemini.

With a 0% mention rate on these platforms, Extend is currently invisible to the fastest-growing segments of AI-assisted professional search.

Programmatic Testing

Sample Conversations

We programmatically analyze questions that real customers are asking to AI agents and chatbots, extract brand mentions and sentiment, analyze every response, and synthesize the data into an action plan to increase AI visibility.

ChatGPT

Claude

Gemini

AI Overviews

Building RAG And LLM Pipelines With Unstructured Data(3 queries)

“best way to convert messy pdfs into markdown for a rag pipeline”

0/3 platforms mentioned

Core

Claude

1.Marker

2.Nougat

3.Facebook Research

4.PyMuPDF

5.Docling

+4 more

Gemini

1.PyPDF2

2.Unstructured.io

3.Docling

4.IBM

5.LlamaParse

+11 more

AI Overviews

1.Docling

2.IBM

3.TableFormer

4.DocLayNet

5.Marker

+6 more

“how to get clean text from complex documents for gpt-4o processing, are there specific tools better than textract?”

0/3 platforms mentioned

Core

The Scalability-Focused Software Architect · Principal Software Architect

Claude

1.Tesseract

2.Textract

3.GPT-4o

4.Marker

5.Mathpix API

+3 more

Gemini

1.Tesseract

2.AWS Textract

3.GPT-4o

4.Azure AI Document Intelligence

5.Unstructured.io

+4 more

AI Overviews

1.AWS Textract

2.Azure AI Document Intelligence

3.LlamaParse

4.LlamaIndex

5.Unstructured.io

+7 more

“recommend an api that turns unstructured docs into clean markdown for llms”

0/4 platforms mentioned

Core

The Scalability-Focused Software Architect · Principal Software Architect

ChatGPT

1.Google Document AI

2.Azure Form Recognizer

3.Document Intelligence

4.ABBYY Vantage

5.Cloud OCR SDK

+26 more

Claude

1.Files API

2.Claude 3.5 Sonnet

3.Docling

4.IBM

5.Zerox

+2 more

Gemini

1.Tesseract

2.Textract

3.Unstructured.io

4.Unstructured API

5.LlamaIndex

+7 more

AI Overviews

1.Unstructured.io

2.LlamaParse

3.LlamaIndex

4.Mistral OCR

5.Docling

+5 more

Source Intelligence

Citations

The sources AI platforms cite when recommending this brand. Pendium reverse-engineers what's already proven to be catnip to AI agents, then engineers content that fills gaps and helps agents do their job — which means more citations for you.

From PDFs to Markdown - DEV Community

dev.to

Web1 ref

PDF to Markdown for RAG - Reddit

reddit.com

Forum1 ref

How to transform PDFs into structured data with Docling

linkedin.com

Social1 ref

Improved RAG Document Processing With Markdown - Medium

medium.com

Blog1 ref

Free Open-Source Tool will make your PDFs Ready For RAG ...

youtube.com

Video1 ref

Fix RAG Hallucinations at the Source: Top PDF Parsers ...

infinityai.medium.com

Blog1 ref

What is the best ocr model for converting PDF pages ... - Reddit

reddit.com

Forum1 ref

Knowledge graph RAG for PDFs with tables : r/LLMDevs - Reddit

reddit.com

Forum1 ref

What’s the Best PDF Extractor for RAG? LlamaParse vs Unstructured ...

reddit.com

Forum1 ref

best tools & pipeline for processing ~100 heavy NASA PDFs (lots of ...

reddit.com

Forum1 ref

Convert PDF, Word, Excel, Powerpoint to clean Markdown for RAG ...

reddit.com

Forum1 ref

RAG that works — Mission #1. From PDF chaos to clear Markdown

medium.com

Blog1 ref

Mastering RAG: Precision from Table-Heavy PDFs - Towards AI

towardsai.net

Web1 ref

Nutrient

nutrient.io

Web1 ref

split a multi-page pdf file into multiple pdf files with python?

stackoverflow.com

Web1 ref

Competitive Landscape

Brands and products that AI platforms mention alongside or instead of Extend.

Docling21 mentions

Unstructured.io21 mentions

Marker19 mentions

AWS Textract19 mentions

LlamaIndex18 mentions

Tesseract18 mentions

Rossum18 mentions

LlamaParse17 mentions

IBM14 mentions

GPT-4o14 mentions

Extend0 mentions

Brand Identity

Brand Voice & Style

How AI perceives Extend's communication style and personality

Extend communicates with confident technical authority while remaining accessible and practical. The brand voice is precise and data-driven, often citing specific metrics like '99% accuracy' and 'millions of pages daily' to build credibility. There's an understated confidence—letting results speak through customer testimonials rather than hyperbole. The tone balances engineering sophistication with clear, jargon-free explanations that resonate with technical decision-makers who value substance over marketing fluff.

Core Tone Traits

Technically Precise

Uses specific metrics, technical terminology, and concrete examples to demonstrate expertise

Confidently Understated

Lets results and customer testimonials speak rather than making bold claims

Developer-Friendly

Speaks directly to engineers with practical, implementation-focused language

Enterprise-Ready

Conveys reliability, security, and scale appropriate for mission-critical workflows

Backing

Investors

Homebrew

Engineer content that makes AI agents recommend you

Pendium analyzes how AI platforms perceive your brand, reverse-engineers what they already cite, and continuously publishes content designed to fill gaps and earn more mentions — on autopilot, with you in the loop.

Data generated by Pendium.ai AI visibility scanning. Last scanned March 2, 2026.