REPOGEO REPORT · LITE

d-krupke/cpsat-primer

Default branch main · commit 11bf47a9 · scanned 6/2/2026, 3:17:28 AM

GitHub: 746 stars · 60 forks

AI VISIBILITY SCORE

40 /100

Critical

Category recall

0 / 2

Not recommended in any query

Rule findings

2 pass · 0 warn · 0 fail

Objective metadata checks

AI knows your name

3 / 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 d-krupke/cpsat-primer, 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 README opening to emphasize 'primer' nature

Why:

CURRENT

*A book-style version of this primer is available at https://d-krupke.github.io/cpsat-primer/.*

# The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

_By Dominik Krupke, TU Braunschweig, with contributions
from Leon Lan, Michael Perk, and
others._

Many combinatorially difficult
optimization problems can, despite their proven theoretical hardness, be solved
reasonably well in practice.

COPY-PASTE FIX

*A book-style version of this primer is available at https://d-krupke.github.io/cpsat-primer/.*

# The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

This repository provides a comprehensive, book-style primer and practical guide for learning and mastering Google OR-Tools' CP-SAT solver, designed for students, researchers, and developers.

_By Dominik Krupke, TU Braunschweig, with contributions
from Leon Lan, Michael Perk, and
others._

Many combinatorially difficult
optimization problems can, despite their proven theoretical hardness, be solved
reasonably well in practice.

mediumtopics#2

Add topics that clarify the resource type

Why:

CURRENT

combinatorial-optimization, cp-sat, operations-research, optimization, ortools

COPY-PASTE FIX

combinatorial-optimization, cp-sat, operations-research, optimization, ortools, tutorial, guide, learning, education, primer

lowabout#3

Refine the 'About' description to highlight 'educational primer'

Why:

CURRENT

The CP-SAT Primer: Using and Understanding Google OR-Tools' CP-SAT Solver

COPY-PASTE FIX

A comprehensive educational primer and practical guide for using and understanding Google OR-Tools' CP-SAT Solver.

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 d-krupke/cpsat-primer

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

google/or-tools

Recommended in 5 of 2 queries

COMPETITOR LEADERBOARD

google/or-tools · recommended 5×
Gurobi Optimizer · recommended 1×
CPLEX Optimizer · recommended 1×
scipopt/scip · recommended 1×
Pyomo/pyomo · recommended 1×

CATEGORY QUERY
How to solve combinatorial optimization problems with many logical constraints efficiently?
you: not recommended
AI recommended (in order):
1. Gurobi Optimizer
2. CPLEX Optimizer
3. OR-Tools (google/or-tools)
4. CP-SAT solver (google/or-tools)
5. SCIP (google/or-tools)
6. GLOP (google/or-tools)
7. SCIP (scipopt/scip)
8. Pyomo (Pyomo/pyomo)
9. MiniZinc (MiniZinc/minizinc)
10. GLPK
AI recommended 10 alternatives but never named d-krupke/cpsat-primer. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking an introductory guide for using constraint programming in operations research.
you: not recommended
AI recommended (in order):
1. IBM CP Optimizer
2. Google OR-Tools (google/or-tools)
3. MiniZinc (MiniZinc/libminizinc)
4. Gecode (gecode/gecode)
5. Choco Solver (chocoteam/choco-solver)
AI recommended 5 alternatives but never named d-krupke/cpsat-primer. This is the gap to close.
Show full AI answer

Objective checks

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

Metadata completeness
pass
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 d-krupke/cpsat-primer?
pass
AI named d-krupke/cpsat-primer explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts d-krupke/cpsat-primer in production, what risks or prerequisites should they evaluate first?
pass
AI named d-krupke/cpsat-primer 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 d-krupke/cpsat-primer solve, and who is the primary audience?
pass
AI named d-krupke/cpsat-primer explicitly
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 d-krupke/cpsat-primer. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/d-krupke/cpsat-primer.svg)](https://repogeo.com/en/r/d-krupke/cpsat-primer)

HTML

<a href="https://repogeo.com/en/r/d-krupke/cpsat-primer"><img src="https://repogeo.com/badge/d-krupke/cpsat-primer.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

d-krupke/cpsat-primer — 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