REPOGEO REPORT · LITE

199-biotechnologies/claude-deep-research-skill

Default branch main · commit f2f2c0fa · scanned 6/7/2026, 12:28:23 PM

GitHub: 750 stars · 84 forks

AI VISIBILITY SCORE

23 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 0 warn · 1 fail

Objective metadata checks

AI knows your name

2 / 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 199-biotechnologies/claude-deep-research-skill, 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

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

OVERALL DIRECTION

highreadme#1

Reposition README opening to clarify 'skill' vs. 'model'

Why:

CURRENT

Enterprise-grade research engine for Claude Code. Produces citation-backed reports with source credibility scoring, multi-provider search, and automated validation.

COPY-PASTE FIX

This is an enterprise-grade deep research skill designed specifically to extend Claude Code's capabilities. It provides a robust 8-phase pipeline, source credibility scoring, and automated validation, significantly outperforming Claude's native research functions, as well as general AI assistants like OpenAI, Gemini, and Claude Desktop for quality and verification.

mediumlicense#2

Add a LICENSE file and reference it in the README

Why:

COPY-PASTE FIX

Create a `LICENSE` file in the repository root with the text of the MIT License. Add a 'License' section to the README with the text: 'This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.'

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 199-biotechnologies/claude-deep-research-skill

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

OpenAI GPT-4

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

OpenAI GPT-4 · recommended 1×
Anthropic Claude 3 · recommended 1×
Scopus · recommended 1×
Web of Science · recommended 1×
Google Scholar API · recommended 1×

CATEGORY QUERY
How to generate enterprise-grade research reports with source credibility scoring and automated validation?
you: not recommended
AI recommended (in order):
1. OpenAI GPT-4
2. Anthropic Claude 3
3. Scopus
4. Web of Science
5. Google Scholar API
6. Beautiful Soup (crummy/BeautifulSoup)
7. Scrapy (scrapy/scrapy)
8. Elasticsearch (elastic/elasticsearch)
9. Apache Solr (apache/solr)
10. Python
11. NLTK (nltk/nltk)
12. spaCy (explosion/spaCy)
13. Pandas (pandas-dev/pandas)
14. SciPy (scipy/scipy)
15. NumPy (numpy/numpy)
16. Jupyter Notebooks (jupyter/notebook)
17. VS Code (microsoft/vscode)
18. Tableau
19. Power BI
20. Looker
AI recommended 20 alternatives but never named 199-biotechnologies/claude-deep-research-skill. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an AI tool for comprehensive, multi-source research that verifies information and provides detailed reports.
you: not recommended
AI recommended (in order):
1. Elicit
2. Scite.ai
3. Perplexity AI
4. ChatGPT
5. Google Gemini
6. Consensus
7. Semantic Scholar
AI recommended 7 alternatives but never named 199-biotechnologies/claude-deep-research-skill. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
fail
Suggestion:
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 199-biotechnologies/claude-deep-research-skill?
pass
AI named 199-biotechnologies/claude-deep-research-skill explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts 199-biotechnologies/claude-deep-research-skill in production, what risks or prerequisites should they evaluate first?
pass
AI named 199-biotechnologies/claude-deep-research-skill 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 199-biotechnologies/claude-deep-research-skill solve, and who is the primary audience?
pass
AI did not name 199-biotechnologies/claude-deep-research-skill — likely talking about a different project
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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Brand-free category queries5 vs 2 in Lite
Prioritized action items8 vs 3 in Lite