ServiceTechnical AEO

Technical AEO Audit

A 330-point, Google-cited audit of what is holding your pages back in AI search.

Answer first

A 330-point technical and AI-readiness audit. Every check is cross-referenced to a Google primary source and clustered into the Four Pillars of generative search, so you see not only what is wrong but why it matters and how to fix it. It surfaces the crawl, indexing, content, trust and entity issues that quietly suppress rankings and AI citations, with a fix list prioritised by competitive impact.

What the audit covers

Sites accumulate hidden technical and AI-readiness issues that silently suppress rankings and LLM citations. This audit surfaces them in one structured review of 330 checkpoints, organised into the four pillars: technical foundations (crawl, render, index), topical content, trust signals (E-E-A-T), and the authority network of entities and structured data that decides whether a page is eligible to be grounded in an AI answer.

Every check has a source

This is not a checklist of opinions. Each of the 330 checks carries a plain definition, why it matters, the concrete fix, the expected impact, and the evidence behind it, with a confidence tag: verified where Google states it, inferred where it is reasoned from a Google source, and tactical where it is our recommendation. Where no Google primary source exists, the audit says so rather than inventing a citation.

The comparative layer

The audit does not score your site in isolation. It runs the same framework against up to five named competitors and produces a side-by-side comparison, then re-orders your fix list by competitive impact: issues where competitors score better move up; issues where you already lead move down.

The result is a stronger argument than best practice. "Fix this because your competitor does not have this problem" is what actually moves the needle.

Frequently asked

Where do the 330 checks come from?

Each one is drawn from Google primary sources first (Search Central documentation, the Search Quality Rater Guidelines, Google research and patents, the AI features guide), then reputable standards bodies such as W3C, then industry analysis. Every check links to its evidence.

Do I need an llms.txt file or special AI markup?

No. AI features pull from the same standard search index; there is no separate AI index and no AI-only file to feed. The audit focuses on real eligibility signals, not anti-patterns Google has explicitly debunked.

How many competitors can you benchmark?

Up to five named competitor domains are scored on the same scale and surfaced in a side-by-side comparison table.