REPOGEO REPORT · LITE

flyingby/Awesome-Deepfake-Generation-and-Detection

Default branch main · commit f0622f13 · scanned 6/16/2026, 10:57:18 AM

GitHub: 639 stars · 42 forks

AI VISIBILITY SCORE

22 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

1 pass · 1 warn · 0 fail

Objective metadata checks

AI knows your name

1 / 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 flyingby/Awesome-Deepfake-Generation-and-Detection, 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 README's opening to clearly state it's a survey/awesome list

Why:

COPY-PASTE FIX

This repository presents a comprehensive survey and curated collection of resources on Deepfake Generation and Detection, accompanying our CSUR 2026 paper. It serves as an "awesome list" for researchers, developers, and students in the field.

highlicense#2

Add a LICENSE file to the repository

Why:

CURRENT

(no LICENSE file detected — the repo has no recognizable license)

COPY-PASTE FIX

Create a LICENSE file in the repository root. This will ensure clarity on how the content can be used and distributed. Common choices for content repositories include MIT or CC BY 4.0.

mediumhomepage#3

Add a homepage URL to the repository settings

Why:

COPY-PASTE FIX

Set the homepage URL in the repository settings to the arXiv paper link (https://arxiv.org/abs/2403.17881) or a dedicated project page if one exists.

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 flyingby/Awesome-Deepfake-Generation-and-Detection

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Sensity AI

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Sensity AI · recommended 1×
Reality Defender · recommended 1×
Deepfake Detection Challenge (DFDC) Dataset & Models · recommended 1×
Amped Authenticate · recommended 1×
Amped FIVE · recommended 1×

CATEGORY QUERY
How can I identify manipulated media or detect synthetic face videos effectively?
you: not recommended
AI recommended (in order):
1. Sensity AI
2. Reality Defender
3. Deepfake Detection Challenge (DFDC) Dataset & Models
4. Amped Authenticate
5. Amped FIVE
6. ExifTool
7. MediaInfo
8. FaceForensics++
9. DeepFake-o-meter
AI recommended 9 alternatives but never named flyingby/Awesome-Deepfake-Generation-and-Detection. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What tools are available for generating realistic talking head videos or face swaps?
you: not recommended
AI recommended (in order):
1. Synthesys AI Studio
2. DeepMotion
3. HeyGen
4. Deepfake Web
5. FaceSwap
6. Reface
7. Adobe After Effects
8. DeepFaceLab
9. EbSynth
AI recommended 9 alternatives but never named flyingby/Awesome-Deepfake-Generation-and-Detection. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
warn
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 flyingby/Awesome-Deepfake-Generation-and-Detection?
pass
AI did not name flyingby/Awesome-Deepfake-Generation-and-Detection — 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?
If a team adopts flyingby/Awesome-Deepfake-Generation-and-Detection in production, what risks or prerequisites should they evaluate first?
pass
AI named flyingby/Awesome-Deepfake-Generation-and-Detection 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 flyingby/Awesome-Deepfake-Generation-and-Detection solve, and who is the primary audience?
pass
AI did not name flyingby/Awesome-Deepfake-Generation-and-Detection — 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 flyingby/Awesome-Deepfake-Generation-and-Detection. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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