REPOGEO REPORT · LITE

run-llama/llama_cloud_services

Default branch main · commit f385e96a · scanned 6/19/2026, 7:36:37 PM

GitHub: 4,250 stars · 471 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 3

Direct prompts that named your repo

HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface run-llama/llama_cloud_services, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION

highreadme#1

Reposition the deprecation notice and clarify the service's purpose

Why:

CURRENT

# Llama Cloud Services

> **⚠️ DEPRECATION NOTICE**
>
> This repository and its packages are deprecated and will be maintained until **May 1, 2026**.
>
> **Please migrate to the new packages:**
> Python**: `pip install llama-cloud>=1.0` (GitHub)
> TypeScript**: `npm install @llamaindex/llama-cloud` (GitHub)
>
> The new packages provide the same functionality with improved performance, better support, and active development.

COPY-PASTE FIX

# Llama Cloud Services: Knowledge Agents and Document Management in the Cloud

This repository provides managed cloud services designed to simplify the operationalization, deployment, and scaling of LlamaIndex-powered LLM applications, focusing on knowledge agents and document processing.

> **⚠️ DEPRECATION NOTICE**
>
> This repository and its packages are deprecated and will be maintained until **May 1, 2026**.
>
> **Please migrate to the new packages:**
> Python**: `pip install llama-cloud>=1.0` (GitHub)
> TypeScript**: `npm install @llamaindex/llama-cloud` (GitHub)
>
> The new packages provide the same functionality with improved performance, better support, and active development.

hightopics#2

Add broader cloud service and LLM application topics

Why:

CURRENT

document, document-parser, document-parsing, docx-to-markdown, parsing, pdf, pdf-document-processor, pdf-to-excel, pdf-to-json, pdf-to-markdown, pdf-to-text, ppt-to-json, ppt-to-markdown, pptx, structured-data, tables

COPY-PASTE FIX

document, document-parser, document-parsing, docx-to-markdown, parsing, pdf, pdf-document-processor, pdf-to-excel, pdf-to-json, pdf-to-markdown, pdf-to-text, ppt-to-json, ppt-to-markdown, pptx, structured-data, tables, cloud-service, llm-applications, knowledge-management, rag, llamaindex

mediumabout#3

Enhance the repository description to include LlamaIndex

Why:

CURRENT

Knowledge Agents and Management in the Cloud

COPY-PASTE FIX

Managed cloud services for LlamaIndex-powered knowledge agents and document management.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall

0 / 2

0% of queries surface run-llama/llama_cloud_services

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Apache Tika

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Apache Tika · recommended 1×
Unstructured.io · recommended 1×
PyPDF2 · recommended 1×
python-docx · recommended 1×
python-pptx · recommended 1×

CATEGORY QUERY
How can I extract structured data from PDF, PPTX, and DOCX documents?
you: not recommended
AI recommended (in order):
1. Apache Tika
2. Unstructured.io
3. PyPDF2
4. python-docx
5. python-pptx
6. Tabula-py
7. Camelot
8. Microsoft Graph API
9. Adobe PDF Services API
AI recommended 9 alternatives but never named run-llama/llama_cloud_services. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What cloud services are available for managing and parsing diverse document types?
you: not recommended
AI recommended (in order):
1. Amazon Textract
2. Google Cloud Document AI
3. Microsoft Azure Form Recognizer
4. AWS Comprehend
5. Google Cloud Vision AI
6. Abbyy Vantage
7. UiPath Document Understanding
AI recommended 7 alternatives but never named run-llama/llama_cloud_services. This is the gap to close.
Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

Metadata completeness
pass
README presence
pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

Compared to common alternatives in this category, what is the core differentiator of run-llama/llama_cloud_services?
pass
AI named run-llama/llama_cloud_services explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts run-llama/llama_cloud_services in production, what risks or prerequisites should they evaluate first?
pass
AI named run-llama/llama_cloud_services explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
In one sentence, what problem does the repo run-llama/llama_cloud_services solve, and who is the primary audience?
pass
AI named run-llama/llama_cloud_services explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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Deep reports10 / month
Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite