AIQB
TutorialsOrdinary

On-page GEO explains 2.8% of citation variation. Retrieval explains 32%. My null result was not a fluke

Source: DEV Community·

Summary

Last week I published a calibration study showing that my tool's GEO score does not predict whether...
CategoryAI Tutorials & Practice
TierOrdinary
Published
Indexed by AIQB
SourceDEV Community
AIQB record IDintel-3385271843be0cd8bbd00493
Read original source ↗More Tutorials

Related stories

Matched by category, entity tags and source

TutorialsOrdinary
Your probe set is a traffic class: how to audit model substitution without tipping off the swap
A few days ago I published two ways to prove which model answered you: client-side probes and...
Source: DEV Community
TutorialsOrdinary
Take Claude Code Above Average: Let Antigravity Review It
In November 2026, I spent a day building a small tool with Claude Code: a bridge that lets a second...
Source: DEV Community · Claude
TutorialsOrdinary
Open-weights models: A case (and first step) for Gemma over Gemini for budget & privacy
TL;DR: Gemini is the premier frontier model (family) from Google DeepMind. In the current...
Source: DEV Community · Gemini
TutorialsOrdinary
I Let AI Reverse Engineer a GBA ROM. It Found the Gravity, Not the Jump
I have one of those retro multi-game consoles with thousands of Atari, Master System and SNES games...
Source: DEV Community
TutorialsOrdinary
Build without limits - SDLC Briefing, #5
Hi! I am Ricardo Sueiras, leading SDLC transformation at Indicium AI. That means I get to work with...
Source: DEV Community
TutorialsOrdinary
Prompt injection isn't a prompt problem. It's an authorization problem.
A lot of security reviews of AI features start and end in the same place: the system prompt. Someone...
Source: DEV Community
TutorialsOrdinary
How a World Model Differs From an LLM, and Why You Want Both
I gave Claude the heater room from the last two posts and expected a plausible story. It fitted the physics and beat my world model, until the world model borrowed Claude's physics. What each one is for, measured.
Source: DEV Community · Claude
TutorialsOrdinary
Google AI Classroom Part 1: Solving the $25-Per-Exam Problem — Architecting a Sub-$0.02/Student Serverless AI Classroom with Gemini 4 & Firebase
Author: Cyrus Wong (黃俊彥) — Google Developer Expert - Cloud (AI), Senior Lecturer at HKIIT ...
Source: DEV Community · Gemini
TutorialsOrdinary
Your Agent Is Only as Good as Your Codebase
Coding agents copy what they find. In a tangled repo they copy the tangle. Here's why structure changes what an agent writes, and what RayStack's new dev-refactor skill does about it.
Source: DEV Community
TutorialsOrdinary
We Moved to a Bigger Model to Debug the Test. Then We Went Back to the Smaller One.
From the agentpolicy v0.1.0 release: a local-first, Cedar-based policy decision point for AI agents...
Source: DEV Community