# Citant.ai

**Canonical:** https://apis.io/providers/citant-ai/  
**Website:** https://citant.ai/  
**APIs profiled:** 0

Citant.ai is a Generative Engine Optimization (GEO) agency focused on boosting B2B SaaS visibility in large language model (LLM) search results. They offer a 9‑week citation guarantee, promising to place your SaaS product in AI‑generated answers or refund the pilot payment. Services include AI‑driven SEO, citation management, and strategic content creation to improve AI citation rankings, targeting enterprises seeking AI‑enhanced discoverability.

## Kin Score — 14.5 / 100 (emerging)

Scored 2026-11-06 under rubric 0.27.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 1.2 |
| Access Clarity | 47.4 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 14.5 (matched via fallback).

## Agent readiness — 14.4 (agent-aware)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | served |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | served |
| Protected Resource Metadata | verified |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |
| MCP Tool Quality | na |

## Access

Paid — onboarding: unknown, pricing: paid, trial: no (confidence: low).

## Security (1)

- **Citant Ai Domain Security** — TLSv1.3 · DMARC

## Plans (1)

- **Citant Ai Plans Pricing**

## Tags

Artificial Intelligence, Geo, SEO, B2B, Software-as-a-Service

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/citant-ai/). Scores are computed from the provider's own public artifacts under a published rubric.
