CiteLadder ↗
Ongoing visibility, citations, site health, and self-hosted evidence workflows are more important than one-off audits.
Pay-per-use AI visibility audits with AEO, GEO, agent, MCP, and brand-visibility scores
Separates technical readiness diagnostics from an observed brand-mention test.
Source review: · Public-source research, not a hands-on test
Technical SEO and GEO teams fixing AI-readiness gaps with concrete remediation material.
No checked source proves score calibration, Brand Visibility representativeness, repeatability, customer satisfaction, citation lift, traffic, or revenue outcomes.
01 / Editorial assessment
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.
02 / Scope, not promises
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 facts30 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 measurement19 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 limitsOpenAPI 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 accessRun technical checks for AI search, citation, agent, and MCP readiness, with category scores and failed-check details.
Measure brand mentions and competitor share of voice across 30 generated niche prompts, while preserving model, niche, and date caveats.
Use the public API catalog, x402 payment, generated files, fix packs, and MCP/A2A discovery surfaces for developer-led workflows.
The independent API profile assesses published artifacts, while audit quality, customer satisfaction, calibration, and business outcomes remain unverified.
03 / Commercial boundaries
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.
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 limits19 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 limitsOpenAPI 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 accessInclude the usage components listed above in the total cost; they are not separate flat software subscriptions.
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
No checked source proves score calibration, Brand Visibility representativeness, repeatability, customer satisfaction, citation lift, traffic, or revenue outcomes.
05 / Choose by the job
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Ongoing visibility, citations, site health, and self-hosted evidence workflows are more important than one-off audits.
A broader monitoring, content, action, cloud-pricing, and open-source workflow is required.
Free self-hosting and operator-controlled experimentation are the priority.
06 / What we can substantiate
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.
| Source | Evidence type | Checked |
|---|---|---|
| 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 |
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.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.