RRepoGEO

REPOGEO REPORT · LITE

mikeroyal/Photogrammetry-Guide

Default branch main · commit ebeebd58 · scanned 6/26/2026, 9:03:16 AM

GitHub: 1,492 stars · 111 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
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 mikeroyal/Photogrammetry-Guide, 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 clarify the repo's nature as a curated guide

    Why:

    CURRENT
    A guide covering Photogrammetry including the applications, libraries and tools that will make you a better and more efficient Photogrammetry development.
    COPY-PASTE FIX
    A comprehensive, curated guide and resource collection for Photogrammetry, detailing essential applications, libraries, and tools to enhance your development and understanding in the field.
  • highlicense#2
    Add a standard open-source license file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with the text of a suitable open-source license, such as the MIT License or Apache-2.0 License.
  • mediumhomepage#3
    Populate the 'Homepage' field in the repository's 'About' section

    Why:

    COPY-PASTE FIX
    Add `https://github.com/mikeroyal/Photogrammetry-Guide` (or any external project site if one exists) to the 'Homepage' field in the repository settings.

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 mikeroyal/Photogrammetry-Guide
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Agisoft Metashape Professional
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Agisoft Metashape Professional · recommended 1×
  2. RealityCapture · recommended 1×
  3. Pix4Dmapper · recommended 1×
  4. 3DF Zephyr · recommended 1×
  5. OpenDroneMap/OpenDroneMap · recommended 1×
  • CATEGORY QUERY
    How can I reconstruct 3D models from images for architectural surveying?
    you: not recommended
    AI recommended (in order):
    1. Agisoft Metashape Professional
    2. RealityCapture
    3. Pix4Dmapper
    4. 3DF Zephyr
    5. OpenDroneMap (ODM) (OpenDroneMap/OpenDroneMap)
    6. Trimble Business Center (Photogrammetry Module)

    AI recommended 6 alternatives but never named mikeroyal/Photogrammetry-Guide. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best open-source tools for processing point clouds and creating 3D maps?
    you: not recommended
    AI recommended (in order):
    1. Open3D (isl-org/Open3D)
    2. PCL (PointCloudLibrary/pcl)
    3. CloudCompare (CloudCompare/CloudCompare)
    4. PDAL (PDAL/PDAL)
    5. RTAB-Map (introlab/rtabmap)
    6. COLMAP (colmap/colmap)
    7. MeshLab (cnr-isti-vclab/meshlab)

    AI recommended 7 alternatives but never named mikeroyal/Photogrammetry-Guide. 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 mikeroyal/Photogrammetry-Guide?
    pass
    AI did not name mikeroyal/Photogrammetry-Guide — 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 mikeroyal/Photogrammetry-Guide in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mikeroyal/Photogrammetry-Guide 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 mikeroyal/Photogrammetry-Guide solve, and who is the primary audience?
    pass
    AI did not name mikeroyal/Photogrammetry-Guide — 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 mikeroyal/Photogrammetry-Guide. 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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mikeroyal/Photogrammetry-Guide — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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