REPOGEO REPORT · LITE
mahaloz/DAILA
Default branch main · commit c37d510f · scanned 5/31/2026, 8:42:15 AM
GitHub: 700 stars · 60 forks
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 mahaloz/DAILA, 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.
- highreadme#1Reposition the README's H1 and opening sentence for clarity
Why:
CURRENT# DAILA The Decompiler Artificially Intelligent Language Assistant (DAILA) is a unified interface for AI systems to be used in decompilers.
COPY-PASTE FIX# DAILA: AI Integration for Reverse Engineering Decompilers The Decompiler Artificially Intelligent Language Assistant (DAILA) is the essential bridge for bringing various AI systems (LLMs, local models) directly into your favorite decompilers. It enables advanced AI capabilities within IDA Pro, Ghidra, Binary Ninja, and angr-management for enhanced reverse engineering workflows.
- mediumabout#2Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIXhttps://github.com/mahaloz/DAILA
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.
- ChatGPT · recommended 1×
- Google Gemini · recommended 1×
- Claude · recommended 1×
- GitHub Copilot · recommended 1×
- Blacksmith · recommended 1×
- CATEGORY QUERYHow can I leverage large language models to assist with reverse engineering tasks?you: not recommendedAI recommended (in order):
- ChatGPT
- Google Gemini
- Claude
- GitHub Copilot
- Blacksmith
- VirusTotal Code Insight
AI recommended 6 alternatives but never named mahaloz/DAILA. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools integrate various AI models with multiple decompiler platforms for software analysis?you: not recommendedAI recommended (in order):
- IDA Pro
- Ghidra
- Binary Ninja
- angr
- Radare2
- Cutter
- LLVM
- Clang
AI recommended 8 alternatives but never named mahaloz/DAILA. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesswarn
Suggestion:
- README presencepass
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 mahaloz/DAILA?passAI named mahaloz/DAILA explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts mahaloz/DAILA in production, what risks or prerequisites should they evaluate first?skippedAI did not name mahaloz/DAILA — 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?
- In one sentence, what problem does the repo mahaloz/DAILA solve, and who is the primary audience?skippedAI did not name mahaloz/DAILA — 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
Drop this badge into the README of mahaloz/DAILA. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/mahaloz/DAILA)<a href="https://repogeo.com/en/r/mahaloz/DAILA"><img src="https://repogeo.com/badge/mahaloz/DAILA.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
mahaloz/DAILA — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite