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Module · AI search visibility

Twelve strategies to get your product cited by AI. One tracker to prove it is working.

When a buyer asks an AI what to buy, the products that get named are the ones the engine can find, understand, and trust. AI Search Domination FE gives you the full playbook for becoming one of them, plus the instrument that tells you whether it is working.

What is AI Search Domination FE? A two-tool module inside ContentCraft AI. The strategy library holds 12 strategies in running order, each with a master prompt built from your saved product profile. The Share-of-Model Tracker holds your buyer-intent questions and, engine by engine, whether you were cited, so your visibility becomes a number you can watch monthly.

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What's inside

  • Product Profile with Quick Setup (typed facts) and Full Setup (paste your listing), saved to your account, with JSON export and import that also works with the other AI Search Domination apps
  • The 12 strategies in order: AI-Readable Listing Rewrite, the Entity Home Page, Buying Guide + FAQ, the Best X for Y List Article, the Comparison / Alternatives Article, the Definitive Quora Answer, the Reddit Value Thread, the LinkedIn Authority Article, the Review Engine, the YouTube Best / How-To Video Script, AI-Descriptive Pinterest Pins, and the Share-of-Model Testing Protocol
  • Every strategy carries its logic, benefits, best platforms, step-by-step run list, and a field-tested tip, plus filters by product type and category and a search box
  • One master prompt per strategy, assembled around your profile with the extra inputs that strategy needs, with copy buttons and one-click open-in-AI buttons for ChatGPT, Perplexity, Claude, Gemini, and Grok
  • Share-of-Model Tracker: up to 20 buyer-intent questions per snapshot, suggested questions built from your profile, six toggleable engines, and dated snapshots that carry the question set forward
  • A test grid where each cell cycles Not tested, Not cited, Cited, with a citation position from 1 to 5, per-engine and overall Share-of-Model percentages, top-3 counts, and the change since the previous snapshot
  • Tracker export to CSV for spreadsheets and JSON for your records, and JSON import that validates before it touches your data

Questions

What is the AI Search Domination FE module?

A two-tool module inside ContentCraft AI for getting a product recommended by AI assistants. The strategy library holds 12 strategies, from an AI-readable listing rewrite to a review engine, each with a tailor-made prompt built from your product profile. The Share-of-Model Tracker measures how often ChatGPT, Perplexity, Google AI, Gemini, Claude, and Copilot actually cite your product when buyers ask.

How do the 12 strategies work?

Each strategy explains why it works, what it produces, where to publish it, and the steps to run it, then builds one master prompt around your product profile. You paste the prompt into your own AI chat, check the facts, and publish what comes back where the strategy says. The strategies run in order: foundation and entity first, then lists and comparisons, community signals, video and visual, and finally the testing protocol that measures the result.

What is Share-of-Model?

Share-of-Model is the share of buyer-intent questions on which an AI engine names your product. The tracker holds a fixed set of up to 20 questions per snapshot, a grid for six engines where each cell cycles from Not tested to Not cited to Cited with a position from 1 to 5, and it computes the percentage of cited cells out of tested cells, per engine and overall, with the change since the previous snapshot.

Do I need a paid AI account?

No. Every prompt is assembled here and runs in your own AI chat, and the free tiers of ChatGPT, Perplexity, Claude, Gemini, and Copilot are enough for both the strategies and the monthly tracker test. Nothing is generated on ContentCraft servers, and your product profile and tracker data are saved to your account so the next session picks up where you left off.

Is this honest marketing?

The strategies are built to keep it honest. The comparison and list prompts require real competitors described fairly, one honest limitation per product, and a disclosure line wherever you recommend your own product. The review strategy only asks real buyers for honest reviews, with no incentives and no rating filter. Content that hides the connection is exactly what buyers and AI engines learn to ignore.