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The selection guideSource-backed research ↗
Content Optimization / Hosted SEO and AEO technical audit

FreeAIWebsiteAudit

Free single-page SEO/AEO audit with an AIReady score and mini visibility report

Technical SEO auditAEO/GEO readiness checklistAI-search education
Why it stands out

Free, simple URL-submission workflow.

Source review: · Public-source research, not a hands-on test

Independent evidence is limited to a small Show HN launch thread; no representative customer-review or efficacy sample was found.

↗ Best for

Small businesses and founders wanting a free first-pass AEO checklist.

! Know before you buy

No reviewed source independently proves score accuracy, citation lift, customer satisfaction, traffic, leads, or revenue.

01 / Editorial assessment

Is FreeAIWebsiteAudit for you?

The AICiteKit take

FreeAIWebsiteAudit is a useful low-friction first pass for small teams that want a plain-language AEO checklist. The live site exposes the submission flow, score range, audit categories, and sample report, while the Show HN thread corroborates the public launch. The evidence does not disclose the score formula, validate its predictive value, or establish that findings increase citations or traffic. Use it for triage and verify important recommendations with raw technical evidence and fixed AI-search measurements.

A good fit if you are…

  • Small businesses and founders wanting a free first-pass AEO checklist.
  • Marketers who need schema, crawlability, entity, and content findings.
  • Non-technical site owners who prefer a hosted report.
  • Consultants using an audit as an intake artifact before manual validation.

Consider another option if…

  • Teams needing recurring prompt and citation monitoring.
  • Agencies requiring API, exports, permissions, or white-label reporting.
  • Buyers needing a published, reproducible scoring rubric and version history.
  • Anyone treating a readiness score as proof of rankings, traffic, or revenue.

02 / Scope, not promises

Features & coverage

AIReady score

0–100 score presented as a measure of AI-search readiness; methodology and calibration are not published in reviewed sources.

Archived research · Vendor-published product surface checked 2026-11-02Research excerpt · Quick facts
Audit coverage

Homepage advertises 40+ signals and names schema, AI-bot crawlability, FAQ, entity, content, citation, RAG, and AEO areas.

Archived research · Vendor-published product surface checked 2026-11-02Research excerpt · Features and practical implications
Delivery timing

Homepage says within minutes; the Show HN launch post described a possible 24-hour processing turnaround.

Archived research · Conflicting public statements checked 2026-11-02Research excerpt · Pricing and limits
Independent evidence

Show HN launch thread dated June 1, 2026 showed 2 points and 1 comment at review time; launch context only.

Archived research · Independent public source checked 2026-11-02Research excerpt · User feedback and evidence quality
Main constraint

No reviewed source independently proves score accuracy, citation lift, customer satisfaction, traffic, leads, or revenue.

Archived research · Editorial evidence boundary checked 2026-11-02Research excerpt · User feedback and evidence quality

40+ signal audit

The homepage advertises a broad checklist spanning schema, AI-bot crawlability, FAQ, entities, content, citations, RAG, and AEO. This supports scope, not rule precision or causal importance.

Archived research context ↗

AIReady score and mini report

A 0–100 score and sample report summarize findings such as structured data, crawlability, entity clarity, content depth, and citation signals. Weighting and calibration are not published.

Archived research context ↗

Hosted no-setup workflow

Users submit a public URL and receive a hosted report. Confirm what is fetched, what submitted data is retained, and whether results can be exported or deleted.

Archived research context ↗

A focused evaluation workflow
  1. Submit a publicly accessible URL through the homepage.
  2. Receive the AIReady score and audit report; verify the actual delivery time.
  3. Review findings for schema, crawlability, entity, content, and AEO issues.
  4. Validate important recommendations against source, robots, structured data, and editorial evidence.
  5. Record the URL, date, and exact changes before any re-run or visibility comparison.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-11-02 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Advertised price

Free audit and free single-page scan; no paid plan or complete quota schedule was found in reviewed public pages.

Archived research · Vendor-published offer checked 2026-11-02Research excerpt · Pricing and limits

Pricing context & qualifications

Official homepage observed on 2026-11-02: free audit and free single-page scan; no paid plan or complete quota matrix was exposed.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Free, simple URL-submission workflow.
  • 0–100 score and sample report are easy to explain.
  • Publicly named technical, content, entity, and AEO categories.
  • Low-cost entry point for an initial investigation.

Reasons to pause

  • Scoring formula, weights, rules, and version history are not published in reviewed sources.
  • No independent evidence proves citation lift, traffic, or score validity.
  • Usage limits, retention, deletion, export, API, and bulk-crawl terms are not published.
  • Homepage timing and launch-post timing differ.
  • Independent feedback is too small for satisfaction or efficacy conclusions.

No reviewed source independently proves score accuracy, citation lift, customer satisfaction, traffic, leads, or revenue.

05 / Choose by the job

Alternatives to consider

Editorial fit comparisons—not performance rankings or claims that one option always wins.

Another direction / 01

@ijonis/geo-lint ↗

Inspectable local and CI-friendly content linting is preferred.

Another direction / 02

SEO/GEO Audit Kit ↗

A broader audit workflow with documented rule boundaries is needed.

Another direction / 03

OptiQra ↗

An open-source website optimizer and technical audit workflow is preferred.

06 / What we can substantiate

Reviews & evidence

Independent feedback is limited to a Show HN launch thread with 2 points and 1 comment. No representative customer review sample, controlled comparison, hands-on benchmark, or outcome study was found.

Show HN launch thread

Independent launch/community context; 2 points and 1 comment observed

Not a customer-review sample and does not validate score quality, efficacy, or business outcomes

Snapshot: 2026-11-02 · View source

AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.

Sources & original verification dates

SourceEvidence typeChecked
FreeAIWebsiteAudit official homepage ↗Official product, workflow, and scope
FreeAIWebsiteAudit How It Works ↗Official explanatory page
FreeAIWebsiteAudit robots.txt ↗Official technical surface
Show HN launch thread ↗Independent launch/community context

Original review evidence & date context

Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.

Official pages support product identity, workflow, score, and advertised audit categories. Show HN supports launch context only. No reviewed source independently proves score accuracy, citation lift, customer satisfaction, traffic, leads, or revenue.

Research notes & unresolved discrepancies
  • Official pages establish current product identity, free positioning, score range, audit categories, and hosted workflow.
  • The homepage says results arrive within minutes, while the launch post disclosed a possible 24-hour turnaround; verify current timing.
  • Do not treat the AIReady score as observed citation rate, ranking, traffic, or revenue.

Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.