AI Site Audit

Audit the signals AI engines actually read.

Zeover crawls every page and grades the structure, claims, citations, freshness, and artifacts that decide whether AI engines can understand and recommend your brand. The checks evolve as Zeover experiments with real AI engines and sees what works in the wild.

Audit Your Site See the checks
100+ GEO checks
Every crawlable page
4x critical-page weight

Machine readability

The fixes help SEO and GEO. Zeover shows what AI engines need on top.

A stronger technical foundation helps both search crawlers and AI systems. Zeover focuses that work on machine readability: clean structure, clear claims, extractable facts, and source paths that models can parse and cite.

The checklist is not frozen. Zeover keeps updating the audit from experiments, customer scans, and model behavior we see in the wild, so your team does not have to chase every new AI-search guideline manually.

Improves SEO Adds GEO signal

Clean metadata

Clear answer context for AI engines

Structured data

Extractable entities, claims, and citations

Crawlable pages

Machine-readable source paths AI can trust

Helpful content

Self-contained facts ready for generated answers

100+ checks, grouped by impact

Every page gets a machine-readability profile.

Zeover does not bury you in raw crawl output. It organizes findings by the signals AI systems use to parse, trust, and cite source material.

94%

Structured Data

JSON-LD, Organization schema, authorship, product facts, and extractable entity data.

88%

Crawlability

Canonical URLs, redirects, status codes, robots hints, viewport, and duplicate-page behavior.

81%

Content Quality

Readable, self-contained answers with sufficient depth, headings, and citation-ready claims.

63%

AI Authenticity

Invisible watermarks, zero-width characters, unusual punctuation, and machine-written tells.

72%

Freshness Signals

Updated-at evidence, evergreen claims, page recency, and stale information risk.

96%

Link Health

Internal links, broken URLs, external references, and source paths AI systems can follow.

Artifact detector

3 findings
Medium

Launch AI-ready support - without adding headcount.

em dash pattern
Critical

Enterprise grade automation​ for support teams.

zero-width char
Low

A self-contained source page for model citations.

non-breaking hyphen

AI artifact detection

Find the invisible tells that make pages look machine-written.

AI-generated content often carries punctuation habits, hidden characters, or formatting artifacts that weaken trust. Zeover flags them at page level so your team can clean the source before AI engines discount it.

Impact-tiered scoring

A critical failure should not hide inside an average.

Zeover scores pages by impact tier. Critical failures can cap a page at 50%, important failures can cap it at 70%, and domain scores weight critical pages more heavily because those pages drag down trust fastest.

Critical 40%

Caps page score at 50%

Important 30%

Caps page score at 70%

Low 20%

Proportional scoring

Info 10%

Context only

From finding to fix

Every issue becomes a next action.

The audit is not a static report. It tells you what to fix first, why it matters, and what improvement should look like when the page is scanned again.

1

Explain the blocker

Plain-language diagnosis for marketers and technical teams.

2

Generate the fix

Schema, metadata, copy changes, and page-level recommendations.

3

Prioritize by impact

Critical issues rise above cosmetic cleanup and nice-to-have work.

4

Ship with MCP

Use Zeover MCP and the Skill file to hand flagged issues to an AI coding agent.

Agent-ready repair

Use the Zeover MCP server and Skill file to fix what the report flags.

Connect Zeover to an AI coding workflow and ask for the outcome directly. The report becomes tool context, not homework.

$

Fix all my website SEO/GEO issues using Zeover.

$

Add the schema Zeover recommends for my product pages.

$

Clean up every critical AI artifact flagged in the audit.

Evolving guidance

Zeover keeps the audit current as AI engines change.

Prompt experiments across live AI enginesCitation patterns seen in the wildModel behavior changes and parser quirksCustomer scans that reveal emerging GEO blockers

Ready for the readout?

See what AI engines can and cannot understand on your site.

Run the scan, find the blockers, and turn your website into a source AI systems can parse, trust, and cite.

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