What does Smart Audit check?

Smart Audit checks AI discoverability and SEO readiness signals such as schema quality, metadata coverage, content structure, freshness, indexability, and internal linking hygiene.

How often should audits be run?

Most teams run Smart Audit on a recurring schedule and after major content releases so issues are detected early before they reduce visibility.

Can I drill into specific failing rules and pages?

Yes. You can inspect each failing rule, search impacted pages, filter issue groups, and prioritize by severity and page volume.

Does Smart Audit provide fix recommendations?

Yes. Smart Audit surfaces AI-generated recommendations with rationale and implementation guidance so teams can move from diagnosis to remediation quickly.

How is this different from Smart Content?

Smart Content focuses on generating and publishing new assets, while Smart Audit focuses on detecting and fixing quality issues in existing pages.

Can Smart Audit connect with tracked actions and workflows?

Yes. Audit findings can be routed into execution workflows so fixes can be assigned, tracked, and revalidated in subsequent runs.

Smart Audit

Catch discoverability issues early. Fix critical gaps fast. Protect AI visibility at scale.

Audit site-wide AI and SEO readiness, drill into failing rules and pages, and apply AI-assisted fixes before performance drops impact your pipeline.

Get started See smart audit in action

seerly.app · Smart Audit

OverviewAll Rules

184

pages audited

LLM Readiness52%

SEO Score61%

Rules

57 passed29 failed

Issues by Severity

84 critical171 high409 medium593 low

Site-wide issues3 failing

Core checks improving

Score Trend

Historical AI and SEO scores across audit runs

LLMSEO

Jan 5Jan 9Jan 13Jan 17Jan 21Jan 25Jan 29Feb 2

Rule Diagnostics

Triage failing rules by severity and affected page groups

Audit findings are grouped by rule and page scope so teams can fix the highest-risk problems first, instead of scanning issues one URL at a time.

LLM vs SEO issue separation

Compare readiness gaps side-by-side so teams know which lane needs focus first.

Severity-weighted issue load

Keep critical and high-priority issue counts visible at a glance.

Remediation baseline snapshot

Use this split view as the baseline before applying audit-generated fixes.

LLM Readiness Issues

941

Across 46 audited pages

84 critical171 high

SEO Issues

1377

Across 46 audited pages

409 medium593 low

Search rules...

Structured Data

Fail

21/46 pages

Content Summary

Fail

18/46 pages

Meta Description

Partial

14/46 pages

Single H1 Tag

Partial

10/46 pages

Image Alt Text Coverage

Partial

9/46 pages

llms.txt File

Pass

0/46 pages

Rule Detail · AI Fix

Status: FailSeverity: Medium

Last checked: Mar 26, 2026

Article Schema

Validates schema coverage for title, author, and publish date fields.

Result

Schema validation issue: missing required `headline`, `author`, and `datePublished` fields in JSON-LD block.

AI Recommendation

AI Generated

Fix: add complete Article schema to `/running/nike-daily-trainer-comparison` with required fields and canonical URL.

Rationale

Required schema fields are missing. Adding a complete JSON-LD object improves machine readability for AI citations and rich indexing.

Suggested patch (summary)

Inject `@type: Article`, set `headline`, `author.name`, `datePublished`, and `mainEntityOfPage`; align values to actual page metadata and publish timestamp.

AI-Generated Fixes

Move from failing audit result to implementation-ready fix guidance

Smart Audit doesn’t stop at detection. It produces structured recommendations with rationale so teams can remediate faster and ship cleaner pages.

Fix guidance with context

Recommendations include what to change and why it matters for AI interpretation.

AI-assisted remediation drafting

Convert repetitive diagnostic findings into clear, implementation-ready outputs.

Faster fix completion loops

Keep remediation cycles short with scoped guidance directly inside the audit flow.

Remediation Workflow

Track issue resolution from open findings to verified fixes

Route audit findings into a structured workflow with ownership, status progression, and scheduled re-checks so site quality improves continuously.

Issue lifecycle visibility

See open, in-progress, and fixed states in one remediation view.

Owner and action accountability

Tie each fix to a team owner and explicit implementation action.

Fix Workflow TrackerThis sprint

Article schema missing required properties

In progress

Owner: Content Ops

Re-check: Queued next run

Action: JSON-LD patch prepared

Meta description not intent-aligned

Open

Owner: SEO Lead

Re-check: Pending review

Action: Rewrite draft generated

Long pages missing TL;DR summary block

Fixed

Owner: Editorial

Re-check: Passed

Action: Component inserted

Image alt text coverage below threshold

In progress

Owner: Web Team

Re-check: Validating

Action: Bulk alt-text update

3.4x faster

Issue triage vs manualpage review cycles

47%

Reduction in high-severityaudit failures

92%

Of fixes validatedwithin next audit run

1-click

AI recommendation toremediation handoff

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