Canlah AI

What is Canlah AI?

Canlah AI is a Singapore-registered SEO and GEO (generative engine optimization) agency that measures how often AI assistants cite a brand, then works to raise that share. Its free entry point is a self-serve audit at canlah.ai/audit: enter a URL and it returns a weighted GEO score out of 100 in one to two minutes, with no sign-up required. The audit scores six dimensions at fixed weights — AI Citability (25%), Brand Authority (20%), Content Quality (20%), Technical Foundations (15%), Structured Data (10%), and Platform Optimization (10%). It detects whether the site is e-commerce, SaaS, or local first and applies only the dimensions that fit. Creating a free account unlocks the full breakdown, a deeper five-to-eight-minute scan, and a downloadable PDF. The site is explicit that the score measures how citable a site is, not how often engines currently cite it. Paid engagements run a three-stage protocol: lock a pool of real buyer queries and probe it across ChatGPT, Gemini, and Google to set a baseline; build the on-site and off-site foundation (answer capsules, schema, llms.txt, comparison pages, earned citations); then re-run the identical protocol monthly and report before/after citation share with archived screenshots and timestamps. Delivery is handled by six named AI agents split across a decision center and a delivery center, supervised by human strategists. Retainers come in three tiers — Visibility, Authority, and Flagship — priced per engagement rather than published, and the agency states in writing that it does not guarantee rankings or citations.

What can Canlah AI do?

• 01

  Free Six-Dimension GEO Audit

  Scores any URL on AI citability, brand authority, content quality, technical foundations, structured data, and platform presence, returning a weighted score out of 100 without a sign-up.

• 02

  Business-Type Detection

  Classifies a site as e-commerce, SaaS, or local before scoring so irrelevant criteria do not drag the result down.

• 03

  Locked Query-Pool Probing

  Fixes a pool of real buyer questions and re-probes the same pool each cycle, so month-over-month movement is comparable rather than anecdotal.

• 04

  Multi-Engine Coverage

  Probes ChatGPT, Gemini, and Google AI Overviews on every tier, extending to Perplexity and the remaining major engines on higher tiers.

• 05

  Reproducible Evidence Archive

  Archives every probe result with screenshots and timestamps so clients can independently re-run the checks.

• 06

  On-Site AI Readability Work

  Implements answer capsules, structured data, llms.txt, and comparison pages so engines can parse and quote the site.

• 07

  Disclosed-Identity Off-Site Authority

  Builds earned citations and community presence under affiliated identities, ruling out rented accounts and bought engagement.

• 08

  Six-Agent Delivery Workforce

  Splits work across Argus, Athena, and Sage on measurement and strategy, and Hephaestus, Calliope, and Pheme on engineering, content, and outreach, with human review before shipping.

Use Cases

• “Marketing Leads — Establish a baseline for how often AI assistants name the brand before committing budget to GEO work.
• “SEO Teams — Track citation share per engine month over month against a fixed query pool.
• “Restaurants and F&B — Diagnose why a venue with strong review counts still goes unrecommended by AI engines.
• “Education Providers — Improve how AI assistants describe programs and credentials to prospective students.
• “Agencies and Consultants — Run the free audit on a prospect site to produce a prioritized fix list for a pitch.