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CANLAH AI

CANLAH AI is an SEO and GEO (Generative Engine Optimization) agency based in Singapore, positioned as a high-end AI search visibility agency. Its core business is measuring how AI engines such as ChatGPT, Gemini, and Google answer potential buyers' questions for clients, then using engineering methods to get brands cited and recommended by AI. The service process includes: locking down a pool of real buyer questions and conducting baseline measurement through multi-engine probes; optimizing on-site structured data, answer capsules, and entity consistency, and off-site building earned citations and community engagement; rerunning the same measurement protocol every month, reporting before-and-after changes in citation share, and providing independently verifiable screenshots and timestamped evidence. Its delivery is executed by six AI agents, divided into six roles: market intelligence, strategic planning, performance analysis, SEO+GEO delivery, content production, and KOL/PR and community, with human strategists overseeing the entire process. CANLAH AI is an OpenAI Select Partner and belongs to the OpenAI Partner Network. Services are divided into three tiers, all using the same measurement protocol, covering 4 to 16 buyer intents, with a consistent engine scope. The official website provides a free diagnostic that requires no registration and returns results within 1-2 minutes. Customer cases mentioned in the materials include two restaurants at the same price point that were mentioned in AI answers at rates of 34% and 3% respectively, and a 20-year restaurant group with 3,452 genuine positive reviews that received zero recommendations across 49 probes. The materials also mention a free white paper on cross-border DTC brands.

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About this tool

Purpose

CANLAH AI is an SEO and GEO (Generative Engine Optimization) agency based in Singapore, calling itself an "AI search visibility agency." Its goal is not traditional search ranking, but rather making brands become cited sources in answers from AI assistants such as ChatGPT, Gemini, Google AI Overviews, and Google AI Mode. The service is aimed at businesses that want visibility in the AI search era.

Main Capabilities

According to official materials, CANLAH AI's capabilities revolve around "measurement-strategy-delivery-verification":

  • Multi-engine probe measurement: Lock down a set of real buyer questions, probe across ChatGPT, Gemini, and Google, and archive every result.
  • GEO delivery: On-site aspects include answer capsules, structured data (schema), entity consistency, and comparison pages; off-site aspects include earned citations, relevant community engagement, and identity disclosure.
  • Content production: AI agents generate answer-oriented content, which is reviewed by human editors before publication.
  • Performance verification: Rerun the same protocol every month, report before-and-after changes in citation share, and provide screenshots and timestamps for clients to independently verify.
  • Free diagnostic: The official website provides a free AI answer diagnostic that requires no registration and returns results within 1-2 minutes.

How to Use

After clients engage CANLAH AI, the process is divided into three stages:

  1. Measure the baseline: Lock down the buyer query pool, probe on ChatGPT, Gemini, and Google, calibrate sampling depth according to metrics, and archive all results. The baseline is delivered within the first cycle.
  2. Build the foundation: On-site, execute answer capsules, schema, entity consistency, and comparison pages; off-site, execute earned citations and identity-disclosed community engagement. Executed by AI agents, supervised by strategists, and all content is reviewed by humans before publication.
  3. Prove the change: Rerun the same protocol every month, report before-and-after comparisons of citation share, with verifiable screenshots and timestamps.

Services are divided into three tiers, all using the same measurement protocol:

  • Foundation: Covers 4 buyer intents, including brand and brand comparison questions; monthly AI answer probing on a locked question pool; measurement on ChatGPT, Gemini, and Google; on-site AI readability optimization; monthly reports and verifiable evidence archiving.
  • Middle tier: Covers 8 buyer intents, adding scenario and subcategory questions; includes FoundationFull coverage and monthly re-measurement; monthly production of content aimed at AI citations; off-site authority building with identity disclosure.
  • Highest tier: covers 16 buyer intents, adds non-brand category recommendation questions; the full intent library is re-measured monthly on the same batch of engines; highest content volume, human-reviewed before publication; vertical authority building on key platforms; priority strategist access and quarterly deep audits.

The material mentions that the pricing page has a full comparison, but does not provide specific prices.

Applicable scenarios

  • A brand wants to understand its current visibility in AI answers.
  • An enterprise wants to increase its citation rate in ChatGPT, Gemini, and Google AI answers.
  • A marketing team needs independently verifiable, non-fabricated AI visibility metrics.
  • Consumer-facing brands such as restaurants and DTC want AI to accurately read and recommend their genuine reputation.
  • An organization needs to integrate SEO and GEO into a single workflow.

Limitations

  • The material does not provide specific pricing and only states that there is a pricing page and three tiers.
  • Service effectiveness is measured by changes in citation share, and the material explicitly states it "never fabricates ROI."
  • All deliverables are executed by AI agents, but are reviewed by a human strategist before publication.
  • Off-site authority building requires identity disclosure and genuine participation, and does not involve covert operations.
  • Free diagnostic results are returned within 1-2 minutes, but the full service cycle operates monthly.
  • Some cases and customer reviews in the material involve other brands (such as CanMarket), and their specific relationship with CANLAH AI is not stated, so no further information is available at this time.
  • The material is dated 2026, and its specific timeliness is not available at this time.

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