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The selection guideSource-backed research ↗
AI Search Monitoring / Pay-per-use AI visibility and AI-readiness audit service

AIScan

Pay-per-use AI visibility audits with AEO, GEO, agent, MCP, and brand-visibility scores

AI visibility auditingGEO and AEO diagnosticsAgent and MCP readinessBrand visibility snapshots
Why it stands out

Separates technical readiness diagnostics from an observed brand-mention test.

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

↗ Best for

Technical SEO and GEO teams fixing AI-readiness gaps with concrete remediation material.

! Know before you buy

No checked source proves score calibration, Brand Visibility representativeness, repeatability, customer satisfaction, citation lift, traffic, or revenue outcomes.

01 / Editorial assessment

Is AIScan for you?

The AICiteKit take

AIScan is a focused entrant for teams that want an actionable one-off audit and an agent-native purchase path instead of another monthly visibility dashboard. Official pages document 80+ checks across AEO, GEO, Agent, and MCP readiness, a separate 30-prompt Brand Visibility measurement, fix materials, and an x402/Base API with per-capability prices. The API Evangelist profile independently catalogs the public contract and assigns a bounded artifact-quality Kin Score, but no checked source validates score calibration, answer accuracy, repeatability, customer satisfaction, citations, traffic, or revenue outcomes. It merits a controlled pilot with saved reports, prompt/model metadata, and human review.

A good fit if you are…

  • Technical SEO and GEO teams fixing AI-readiness gaps with concrete remediation material.
  • Developers and agencies that need a machine-readable audit endpoint or x402 pay-per-use workflow.
  • Teams wanting an occasional brand-mention snapshot without a recurring dashboard subscription.

Consider another option if…

  • Enterprises requiring SSO, recurring SLAs, retention guarantees, or procurement-friendly billing.
  • Teams seeking continuous monitoring, alerts, white-label dashboards, or content operations.
  • Buyers requiring an independent score standard or proof of business outcomes.
  • Organizations that cannot manage Base/USDC settlement or downstream implementation work.

02 / Scope, not promises

Features & coverage

Audit scope

80+ checks across AEO, GEO, Agent Readiness, and MCP Readiness, with four 0–100 score categories.

Archived research · Official homepage and llms.txt checked 2026-10-30Research excerpt · Quick facts
Brand Visibility

30 realistic niche prompts with brand mention rate, share of voice, competitor names, and recommendations.

Archived research · Official homepage and llms.txt checked 2026-10-30Research excerpt · Brand Visibility measurement
Agent pricing

19 listed pay-per-use capabilities priced from 0.06 to 3.50 USDC via x402 V2 on Base; catalog access is free.

Archived research · Official agent catalog and OpenAPI checked 2026-10-30Research excerpt · Pricing, payment, and limits
API surface

OpenAPI 3.1 contract with 20 paths, including 19 capabilities and a free index; MCP and A2A discovery are documented.

Archived research · Official OpenAPI and llms.txt checked 2026-10-30Research excerpt · Fix packs and agent-native access

Readiness scoring

Run technical checks for AI search, citation, agent, and MCP readiness, with category scores and failed-check details.

Archived research context ↗

Brand Visibility snapshots

Measure brand mentions and competitor share of voice across 30 generated niche prompts, while preserving model, niche, and date caveats.

Archived research context ↗

Fix packs and agent access

Use the public API catalog, x402 payment, generated files, fix packs, and MCP/A2A discovery surfaces for developer-led workflows.

Archived research context ↗

Evidence boundary

The independent API profile assesses published artifacts, while audit quality, customer satisfaction, calibration, and business outcomes remain unverified.

Archived research context ↗

A focused evaluation workflow
  1. Select a browser report or a capability from the free agent catalog.
  2. Pay the listed USDC amount and run readiness, comparison, fix, or visibility capabilities.
  3. Review raw findings, generated remediation, prompt/model metadata, and payment records.
  4. Apply fixes under human review and repeat identical tests before interpreting change.

03 / Commercial boundaries

Pricing & limits

Terms below reflect the 2026-10-30 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.

Human-facing price

Full report listed at 60 USDC; on-site Brand Visibility listed at 15 USDC.

Archived research · Official homepage checked 2026-10-30Research excerpt · Pricing, payment, and limits
Agent pricing

19 listed pay-per-use capabilities priced from 0.06 to 3.50 USDC via x402 V2 on Base; catalog access is free.

Archived research · Official agent catalog and OpenAPI checked 2026-10-30Research excerpt · Pricing, payment, and limits
API surface

OpenAPI 3.1 contract with 20 paths, including 19 capabilities and a free index; MCP and A2A discovery are documented.

Archived research · Official OpenAPI and llms.txt checked 2026-10-30Research excerpt · Fix packs and agent-native access

Additional costs & usage boundaries

Include the usage components listed above in the total cost; they are not separate flat software subscriptions.

Your buying checklist

Get these answers first.

  • Which model/provider, region, language, aliases, and prompt-generation rules are used for Brand Visibility?
  • What retention, report delivery, rate-limit, refund, and payment-settlement terms apply?
  • Can a sample of readiness findings and AI mentions be manually adjudicated and exported?
  • What agent/MCP write scope, secrets handling, and production-change approval controls are available?

Pricing context & qualifications

The checked official site lists a 60 USDC full report and 15 USDC on-site Brand Visibility test. The agent catalog lists 19 pay-per-use capabilities from 0.06 to 3.50 USDC via x402 V2 on Base, with a free catalog and no advertised subscription.

04 / The tradeoffs

Strengths & weaknesses

Reasons to shortlist

  • Separates technical readiness diagnostics from an observed brand-mention test.
  • Public capability catalog and OpenAPI contract expose per-use prices and integration boundaries.
  • Returns copy-paste fixes and generated llms.txt, MCP, agent, and schema materials.
  • Independent API-artifact profiling adds scrutiny beyond vendor-controlled pages.

Reasons to pause

  • No product-specific rating sample, controlled benchmark, or external hands-on efficacy test was found.
  • Score calibration, precision, recall, model identity, regional coverage, and repeatability remain unverified.
  • Brand Visibility uses 30 generated prompts and is sensitive to model, niche, date, and aliases.
  • Public pages do not fully specify retention, rate limits, refunds, language scope, or enterprise controls.
  • Crypto payment adds wallet, settlement, accounting, and procurement complexity.

No checked source proves score calibration, Brand Visibility representativeness, repeatability, customer satisfaction, citation lift, traffic, or revenue outcomes.

05 / Choose by the job

Alternatives to consider

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

Another direction / 01

CiteLadder ↗

Ongoing visibility, citations, site health, and self-hosted evidence workflows are more important than one-off audits.

Another direction / 02

Ansvisor ↗

A broader monitoring, content, action, cloud-pricing, and open-source workflow is required.

Another direction / 03

Cheap Seats ↗

Free self-hosting and operator-controlled experimentation are the priority.

06 / What we can substantiate

Reviews & evidence

Public evidence is stronger for product scope, API surface, and pay-per-use boundaries than for customer satisfaction or audit efficacy.

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
AIScan official homepage ↗official product page
AIScan llms.txt ↗official machine-readable documentation
AIScan agent capability catalog ↗official API catalog and pricing
AIScan OpenAPI contract ↗official API specification
AIScan MCP discovery descriptor ↗official integration descriptor
API Evangelist AIScan profile ↗Independent public-API artifact profile and Kin Score
APIs.io AIScan provider profile ↗Independent API catalog context derived from public artifacts

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, current scope, API surface, and pay-per-use boundaries; low confidence for score calibration, Brand Visibility representativeness, repeatability, customer satisfaction, citation lift, traffic, and revenue outcomes.

Research notes & unresolved discrepancies
  • API Evangelist's Kin Score is an independent artifact-level assessment, not a rating of AIScan's audit accuracy or customer outcomes.
  • The official site, llms.txt, catalog, OpenAPI, and MCP descriptor are vendor-controlled evidence.
  • 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.