---
title: /topics/
canonical: https://clearcited.com/topics/
published: 2026-09-29
updated: 2026-09-29
author: Logan E Adams
proof_line: "Measured: at least 10 runs per engine, spent adaptively, across 5 AI engines · 95% confidence interval on every figure · open data (DOI 10.5281/zenodo.21612952) · how we measure"
---

# Topics

- [Answer engine optimization](https://clearcited.com/topics/answer-engine-optimization/) — What AEO is, how answer engines decide what to cite, and what actually moves a brand into an AI recommendation.
- [Measurement](https://clearcited.com/topics/measurement/) — How a visibility number is produced here: the run count, the confidence interval, the cadence, and every artefact that carries one.
- [Choosing a vendor](https://clearcited.com/topics/choosing-a-vendor/) — The sourced comparisons, the questions worth asking, and what we will and will not claim about our own work.
- [Developer tools](https://clearcited.com/topics/developer-tools/) — The niche pages for the developer-tool categories we measure, each tied to its Index category.
- [B2B SaaS](https://clearcited.com/topics/b2b-saas/) — The B2B SaaS door and the categories under it.