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TTThai Tranthait.hashnode.devSep 24 · 5 min read

Why semantic search is not the smartest search

Key takeaway Semantic search is not the smartest search. It covers the words that miss. The exact match still has to lead. Keyword search wins on a unit code and on the word bachelor. It misses “tut

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DHDylan Hogginfocruncher.hashnode.devSep 23 · 14 min read

Embedding model dimensions for image search: what the published evidence shows

Publicly published results suggest that embedding vectors often add cost without meaningfully improving image-search quality, so smaller dimensions are worth evaluating. 1. Two common assumptions abou

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TFThe Flux Readthefluxread.hashnode.devSep 17 · 1 min read

llms.txt is technically elegant, but data says it's practically unproven. Why are we shipping it anyway?

In early 2026, bot and agent traffic quietly overtook human visitors for the first time. The internet has fundamentally changed its primary audience. This new ecosystem gave rise to llms.txt—a minimal

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JPJaxon Parrottmachinerelations.hashnode.devAug 28 · 8 min read

Citation Architecture for AI Search: A JSON-LD Validation Workflow

Citation architecture is the release process that makes a page retrievable, understandable, attributable, and easy to quote. JSON-LD is one component. A working implementation also needs visible answe

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JPJaxon Parrottmachinerelations.hashnode.devAug 25 · 9 min read

How to Build AI Citation Regression Tests

AI citation regression tests detect when an answer engine stops using an expected source, loses source diversity, or shifts a source out of the query classes where it previously earned trust. The test

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JPJaxon Parrottauthoritytech.hashnode.devAug 17 · 9 min read

AI Visibility Attribution: Connecting Server Logs To Citation Outcomes

AI visibility attribution is the process of connecting three separate facts: an AI system fetched a page, an AI answer cited or recommended that page, and a user later acted. Server logs only prove th

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ATAdvoca teamadvoca-insights.hashnode.devAug 6 · 6 min read

Navigating AI in SEO: Why Large Language Models Matter for the Future

Not too long ago, if someone had a question, the answer was almost always, "Just Google it." Whether you were looking for the best local restaurant, trying to fix a leaky faucet, or researching a prod

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SMSyed Muhammad Alidevstacked.hashnode.devAug 6 · 16 min read

llms.txt Explained: What It Is, Who Uses It, and How to Add It to Next.js

You've probably seen a stray llms.txt link in someone's site footer, or noticed a new file sitting next to robots.txt and sitemap.xml on a docs site you visited. Maybe you've even been told "you need

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MAMuhammad Azlaan Zubairblog.mdazlaanzubair.comAug 5 · 9 min read

I Didn’t Rebuild My Portfolio to Look Better. I Rebuilt It to Be Found

A portfolio is often treated as a visual résumé: a polished landing page, a few project cards, and a contact link. I wanted mine to do more. This rebuild was about turning my portfolio into a durabl

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JPJaxon Parrottmachinerelations.hashnode.devAug 3 · 8 min read

Measuring AI Citation Rates: When the Data Is Real and When It Is Noise

Most AI citation rate measurements are wrong. Not slightly off — structurally unreliable. The core problem is run-to-run variance. A single prompt submitted to ChatGPT ten times will produce different

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#ai-search

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Trending tags this week

Why semantic search is not the smartest search

Embedding model dimensions for image search: what the published evidence shows

llms.txt is technically elegant, but data says it's practically unproven. Why are we shipping it anyway?

Citation Architecture for AI Search: A JSON-LD Validation Workflow

How to Build AI Citation Regression Tests

AI Visibility Attribution: Connecting Server Logs To Citation Outcomes

Navigating AI in SEO: Why Large Language Models Matter for the Future

llms.txt Explained: What It Is, Who Uses It, and How to Add It to Next.js

I Didn’t Rebuild My Portfolio to Look Better. I Rebuilt It to Be Found

Measuring AI Citation Rates: When the Data Is Real and When It Is Noise