REPOGEO REPORT · LITE

pharmapsychotic/clip-interrogator

Default branch main · commit bc07ce62 · scanned 6/24/2026, 3:32:01 PM

GitHub: 2,965 stars · 431 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)

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

AI VISIBILITY SCORE

28 /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

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 pharmapsychotic/clip-interrogator, 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

hightopics#1
Add more specific topics to improve category visibility
Why:
CURRENT
```
clip, pytorch
```
COPY-PASTE FIX
```
clip, pytorch, prompt-engineering, image-to-text, ai-art, stable-diffusion, blip
```

mediumreadme#2

Strengthen the 'About' section to highlight core differentiator

Why:

CURRENT

The **CLIP Interrogator** is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Use the resulting prompts with text-to-image models like Stable Diffusion on DreamStudio to create cool art!

COPY-PASTE FIX

The **CLIP Interrogator** is a prompt engineering tool that combines OpenAI's CLIP and Salesforce's BLIP to optimize text prompts to match a given image. Unlike generic image captioning, it's specifically designed to reverse-engineer detailed, AI-friendly prompts from an input image, making it ideal for recreating or describing visuals for text-to-image models like Stable Diffusion.

lowhomepage#3
Add a homepage URL to repository metadata
Why:
COPY-PASTE FIX
```
https://huggingface.co/spaces/pharma/CLIP-Interrogator
```

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 pharmapsychotic/clip-interrogator

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

CLIP Interrogator

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

CLIP Interrogator · recommended 2×
Img2Prompt (Hugging Face Spaces) · recommended 1×
DeepDanbooru · recommended 1×
OpenAI's CLIP · recommended 1×
Google Cloud Vision API · recommended 1×

CATEGORY QUERY
What tools can help generate descriptive text prompts from an existing image?
you: not recommended
AI recommended (in order):
1. CLIP Interrogator
2. Img2Prompt (Hugging Face Spaces)
3. DeepDanbooru
4. OpenAI's CLIP
5. Google Cloud Vision API
6. Azure Cognitive Services - Computer Vision
AI recommended 6 alternatives but never named pharmapsychotic/clip-interrogator. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How to reverse-engineer a good prompt from an image for AI art generation?
you: not recommended
AI recommended (in order):
1. Automatic1111
2. InvokeAI
3. ComfyUI
4. Civitai
5. CLIP Interrogator
6. Hugging Face Spaces
7. Google Reverse Image Search
8. Tineye
9. Yandex Images
10. PromptHero
11. Lexica
12. Artbreeder
AI recommended 12 alternatives but never named pharmapsychotic/clip-interrogator. 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 pharmapsychotic/clip-interrogator?
pass
AI did not name pharmapsychotic/clip-interrogator — 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 pharmapsychotic/clip-interrogator in production, what risks or prerequisites should they evaluate first?
pass
AI named pharmapsychotic/clip-interrogator 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 pharmapsychotic/clip-interrogator solve, and who is the primary audience?
pass
AI named pharmapsychotic/clip-interrogator explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/pharmapsychotic/clip-interrogator.svg)](https://repogeo.com/en/r/pharmapsychotic/clip-interrogator)

HTML

<a href="https://repogeo.com/en/r/pharmapsychotic/clip-interrogator"><img src="https://repogeo.com/badge/pharmapsychotic/clip-interrogator.svg" alt="RepoGEO" /></a>

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pharmapsychotic/clip-interrogator — 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