Tag

#ai-search

49 posts0 followers

Explore Hashnode

Alternatives

Reetain Raina1d ago · 13 min read

How AI-Powered Search Works: A Guide for Devs on AI Visibility

Searched worked in a familiar way for decades: you'd type in your query, get back a list of pages, and choose one to click on. Behind the scenes, Google would find the pages it thought you might want,

freecodecamp.org

AURA GEO6d ago · 7 min read

Does AI Know You, Describe You, Name You? The Measurement Ladder in AURA GEO

"Are we visible in AI?" is too big a question to answer in one go. It mixes up at least three different things. Does the assistant know your company exists? Does it describe you correctly? And when so

aurageo.hashnode.dev

Sarah HänschenOct 20 · 7 min read

Accessible Product Search: Why BFSG Compliance Begins with Autocomplete, Filters, and Search Results

Accessibility Affects the Entire Product Discovery Journey The requirements of the European Accessibility Act have applied in the EU since June 28, 2025. In Germany, the Barrierefreiheitsstärkungsgese

quasiris.hashnode.dev

Praise JamesOct 19 · 13 min read

Build an offline visual defect search system with CLIP and VectorAI DB

This article was originally published on the Actian blog. Manufacturing plants often hold years of defect photographs with no practical way to search them. An engineer looking for earlier cases of a

1 actiandev.hashnode.dev

Muhammed Veysel ErinOct 4 · 7 min read

An AI-visibility metric is a data contract before it is a score

An AI-answer study is often presented from the outside in: a headline figure, a chart, and a short method note below both. We designed this measurement from the inside out. The first artifact was not

citevio.hashnode.dev

Thai TranSep 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

thait.hashnode.dev

Dylan HoggSep 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

infocruncher.hashnode.dev

The Flux ReadSep 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

thefluxread.hashnode.dev

Jaxon ParrottAug 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

machinerelations.hashnode.dev

Jaxon ParrottAug 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