Website Auditor ↗
A broader website-audit workflow is preferred over an open-source GEO/AEO fixer.
← All toolsAnother direction / 01 Another direction / 02 Another direction / 03
The selection guideSource-backed research ↗
AI Search Monitoring / Open-source GEO/AEO website auditing and remediation platform
OptiQra
Open-source website optimizer with GEO, AEO, SEO, and actionable fixes
GEO and AEO diagnosticsTechnical website auditingOpen-source remediationAI-assisted fixes
Why it stands out
Connects GEO/AEO findings to deterministic and AI-assisted fixes.
Source review: · Public-source research, not a hands-on test
↗ Best for
Developers and technical SEOs needing inspectable GEO/AEO checks.
! Know before you buy
No checked source proves audit accuracy, citation lift, repeatability, customer satisfaction, or business outcomes.
01 / Editorial assessment
Is OptiQra for you?
The AICiteKit take
OptiQra is a credible early open-source option for teams that want GEO/AEO diagnostics connected to concrete technical and content remediation. Its public repository documents a crawl, understand, fix, verify, and monitor workflow, with a free web demo, desktop releases, and a free VS Code extension. Evidence is stronger for identity, advertised scope, licensing, and implementation than for quality: no checked source proves audit accuracy, citation lift, customer satisfaction, or business outcomes. It merits a bounded pilot with manual validation, reviewed diffs, frozen provider settings, and separate measurement of AI mentions and referrals.
A good fit if you are…
- Developers and technical SEOs needing inspectable GEO/AEO checks.
- Small teams wanting free web, desktop, or editor-based remediation.
- Operators comfortable reviewing automated changes and supplying their own AI keys.
Consider another option if…
- Buyers requiring recurring prompt-rank monitoring or citation analytics.
- Teams needing independently audited accuracy, enterprise reporting, or an SLA.
- Organizations seeking guaranteed AI visibility, traffic, conversion, or revenue outcomes.
02 / Scope, not promises
Features & coverage
- Audit coverage
README claims 180+ rules across SEO, AEO, GEO, performance, accessibility, security, and technical quality; rule count may change.
Archived research · Repository README checked 2026-10-31Research excerpt · Quick facts- GEO/AEO checks
AI crawler access, rendering and content visibility, entity grounding, sameAs, citation-friendliness, answer structure, AI visibility signals, and llms.txt.
Archived research · Repository README checked 2026-10-31Research excerpt · GEO and AEO diagnostics- AI cost boundary
AI-assisted fixes, OPCA, and PageSpeed-related provider use are BYOK-style; third-party API charges are separate and current quotas are not published.
Archived research · README, marketplace, and releases checked 2026-10-31Research excerpt · Pricing, limits, and operating costs
GEO and AEO diagnostics
Inspect crawler access, rendering, entity, citation-friendly, answer-structure, and llms.txt conditions without treating them as citation guarantees.
Audit-to-fix workflow
Crawl a site or project, prioritize findings, apply deterministic or AI-assisted changes, and verify the result.
Free and inspectable delivery
Use the no-signup web demo, open-source repository, desktop releases, or free VS Code extension; support and hosted capacity are not established.
Evidence boundary
No checked source establishes audit accuracy, AI citation improvement, customer satisfaction, or causal business impact.
A focused evaluation workflow
- Scan a live URL or project and configure crawl limits.
- Inspect prioritized SEO, AEO, GEO, performance, accessibility, security, and technical findings.
- Validate findings manually, then apply deterministic or reviewed AI-assisted fixes.
- Record provider, model, locale, crawl date, and page limits before comparing results.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-31 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Delivery model
Free web demo, MIT open-source repository, desktop releases, and free VS Code extension.
Archived research · Public product, repository, marketplace, and releases checked 2026-10-31Research excerpt · Pricing, limits, and operating costs
Additional costs & usage boundaries
- AI cost boundary
AI-assisted fixes, OPCA, and PageSpeed-related provider use are BYOK-style; third-party API charges are separate and current quotas are not published.
Archived research · README, marketplace, and releases checked 2026-10-31Research excerpt · Pricing, limits, and operating costs
Your buying checklist
Get these answers first.
- Which current rules, crawl limits, and rendering modes are available in each delivery surface?
- Which provider keys, models, permissions, and direct API costs apply to AI fixes?
- How are backups, rollback, local storage, retention, and deletion handled?
- Can a sample of GEO/AEO findings be reconciled with raw HTML and human technical review?
Pricing context & qualifications
The README says the live demo is free with no signup or account required; the VS Code Marketplace lists the extension as free. AI-assisted fixes and related integrations use BYOK-style provider/API keys, with third-party charges separate and no complete quota matrix published.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Connects GEO/AEO findings to deterministic and AI-assisted fixes.
- MIT repository and multiple delivery surfaces make the implementation inspectable.
- Free web demo and VS Code extension lower the cost of a technical pilot.
- Documents explicit limits around BYOK AI usage and the distinction between diagnostics and citation guarantees.
Reasons to pause
- No published paid plan, enterprise support matrix, or hosted API boundary was found.
- BYOK provider usage can add direct API cost and data-handling considerations.
- No product-specific rating sample or controlled external benchmark was found.
- Audit accuracy, citation lift, repeatability, and business impact remain unverified.
No checked source proves audit accuracy, citation lift, repeatability, customer satisfaction, or business outcomes.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
CrawlProof ↗
Crawler access, rendering, and technical AI-readiness checks are the main requirement.
Cheap Seats ↗
Self-hosted AI-visibility measurement matters more than site remediation.
06 / What we can substantiate
Reviews & evidence
Public evidence is stronger for product scope, licensing, and access surfaces than for audit quality or outcomes.
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
| Source | Evidence type | Checked |
|---|---|---|
| OptiQra live demo ↗ | Official product surface | |
| OptiQra GitHub repository and README ↗ | Vendor-controlled MIT open-source implementation | |
| OptiQra VS Code Marketplace listing ↗ | Marketplace listing with vendor product details | |
| OptiQra GitHub releases ↗ | Public release notes and deployment evidence | |
| Hacker News Show HN discussion ↗ | Independent community launch context; small signal, not efficacy validation |
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.
Medium confidence for product identity, advertised scope, licensing, and access surfaces; low confidence for audit accuracy, citation lift, repeatability, customer satisfaction, and business outcomes.
Research notes & unresolved discrepancies
- The Hacker News item was used as independent community launch context; its small point count and lack of substantial comments are not product validation.
- Official demo, repository, releases, and marketplace are vendor-controlled sources.
- No product-specific rating sample, hands-on external test, or controlled outcome study was found.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.