About Entity Home: A Technical Blueprint
About entity home pages: what they are, how they differ from landing pages and blog posts, and a step-by-step blueprint to build one for AI visibility.
nqzaiBlogTag archive
#AI search
72 published storiesCanonical archive
Stories tagged Ai search
Topic archive
What Is AEO? Answer Engine Optimization, Explained
A plain-language primer on answer engine optimization (AEO) — what it means, how it differs from SEO and GEO, and why the field is still young.
The AI Search Entity Audit: How to Verify AI Answer Engines Actually Know Who You Are
A step-by-step method for checking whether ChatGPT, Perplexity, and Google know your brand as its own entity — not a competitor or generic term.
JavaScript and AI Search: Why Client-Side Rendering Breaks Retrieval, Not Just Crawling
ChatGPT, Perplexity, and Claude don't render JavaScript the way Googlebot does. Here's what that means for content teams.
Finding Schema Conflicts Across Templates: A Technical Audit for Large Sites
Large sites accumulate contradictory structured data — two Organization schemas, mismatched Product prices — as templates, plugins, and migrations pile up. Here's how to find it, why it confuses both Google and AI search systems, and how to fix it at the template level instead of page by page.
AI Search Share of Voice: The Math That Actually Holds Up
Share of voice in AI search means citation events won divided by total evaluations across a documented prompt panel — tracked per engine, never blended into one score.
AI Search Brand Monitoring: Tracking What Answer Engines Say About You Before It Costs You
How to track brand drift, source citations, and stale claims across AI answer engines — distinct from social listening.
llms.txt Governance: Why a File Drop Isn't a Strategy
llms.txt isn't a one-time SEO file. Here's how to govern it on an ongoing basis — and what the adoption data actually shows in 2026.
Hreflang QA for AI Search: Audit International SEO Properly
Google still forgives sloppy hreflang if the underlying content is sound — AI search engines don't extend the same grace. Here's how to audit hreflang properly, and why "it validates" is no longer good enough.
AI Search for Local Service Businesses: What's Actually Proven in 2026
ChatGPT, Google AI Overviews, and Perplexity are changing how people find plumbers, dentists, and contractors — but the signals that get a business named in an AI answer are not the same ones that win Google's local pack. Here's what the research actually shows, and what remains unproven.
AEO Myths vs. Facts: What the Research Actually Shows
A myth-busting guide to AEO's most-repeated claims — what Google, Ahrefs, and Bing have actually confirmed, and how to vet visibility stats yourself.
Clay vs nqzai: Essential GTM Workflow Guide [2026]
A source-backed comparison of Clay and nqzai for enrichment, outreach, AI search work, and buying models.
![Clay vs nqzai: Essential GTM Workflow Guide [2026]](https://nqz.ai/blog/covers/clay-vs-nqzai-lead-enrichment-outbound-ai-search.webp)
AI Crawler Access Audit: Robots, Firewalls, and Evidence
A single robots.txt check tells you what you asked crawlers to do, not what they actually did. Here's a three-layer audit method — rules, enforcement, and evidence — for finding out whether AI crawlers can really reach your site.
Structured Data for AI Search: What Schema Markup Actually Does (and Doesn't)
Google says schema isn't a ranking or AI-citation lever. Here's the real evidence on what structured data does — and doesn't — do for AI search visibility.
PDF Citation Strategy: Publishing Research Assets Responsibly
A PDF that AI answer engines can crawl, parse, and cite accurately looks nothing like a PDF built for print — this is what tagging, metadata, and text-layer decisions actually change, and what they can't fix.
Orphan Page Audits for AI Search: How to Find (and Fix) the Pages Crawlers Never See
An orphan page is a live page with zero internal links pointing to it — invisible to crawl-based discovery and doubly invisible to the low-timeout AI crawlers that never render JavaScript or follow deep site trees. Here's a real audit process for finding them, backed by named studies, not fabricated stats.
PDF SEO for AI Retrieval: Indexability and Evidence
Technical requirements for making PDFs crawlable, canonical, and metadata-complete so both classic search crawlers and AI retrieval systems can parse, index, and cite them correctly.
AI Crawler Response Codes Guide for Technical QA
A precise, source-backed guide to reading 200, 301/302, 403, 404, 429, and 5xx responses through the lens of GPTBot, ClaudeBot, and PerplexityBot — plus the QA process to catch AI-crawler access failures before they cost you visibility.
Why Thought Leadership Is Invisible to AI Search
AI answer engines don't cite hot takes. Here's how B2B teams can separate opinion from fact, cite real sources, and get referenced by ChatGPT, Perplexity, and AI Overviews.
Product Documentation for AI Search: Writing Docs That Agents Can Verify
How to write product and feature docs AI answer engines and coding agents can verify — not just repeat as unchecked marketing claims.
Comparison Pages for AI Search: How to Build "X vs Y" Pages That Actually Get Cited
AI engines are discounting vendor-biased comparisons. Here's the evidence, and the exact structure that earns citations instead of skepticism.
First-Party Data for AI Search: Turning Internal Knowledge Into Citable Content
Support tickets, usage logs, and product analytics can out-cite recycled blog posts in AI search — if you aggregate, anonymize, and publish them right.
Author Pages for AI Search: Bios That Prove Expertise Instead of Claiming It
How to build author pages AI systems and readers can independently verify — grounded in Google's E-E-A-T guidance and schema.org Person markup.
Expert Quotes for AI Search: What Actually Earns Citations (and What's Fabrication)
Real, attributed expert quotes measurably raise AI citation rates. Here's the research, the sourcing process, and the line into fabrication.
