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What does a conversion keyword generation tool do for you?

A.Answer

This is a free tool that automatically generates search keywords just before purchase, questions (prompts) that are likely to be thrown in AI searches, and article structure proposals by simply entering your company's URL. The generated questions can be linked to QFO analysis and semantic score analysis, serving as a starting point for creating content that is likely to be cited by AI.

TL;DR

This is a free tool that identifies searches and questions directed to AI just before purchasing, such as pricing, comparisons, and implementation. It can be used as the first step in deciding "which questions to target" for LLMO measures.

What can be generated from the company's URL?

By simply entering the company's URL, conversion keywords, AI search prompts, and article structure proposals will be displayed organized by category.

The pages that served as the basis for the generation will also be shown, allowing you to verify which information was used for the generation.

Input screen of the conversion keyword and prompt auto-generation tool. Enter the company URL and press the 'Analyze and Generate' button

In the list of keywords, they are displayed by category such as pricing and comparison, along with a score (BOFU score) indicating how close they are to a purchase.

Keyword list screen of the generation results. Conversion keywords are displayed by category such as pricing and comparison, with each keyword assigned a BOFU score

In the list of AI search prompts, anticipated question phrases are displayed along with scores and categories (pricing, implementation, comparison, case studies).

AI search prompt list screen of the generation results. Anticipated question phrases are displayed along with BOFU scores and categories (pricing, implementation, comparison, case studies)

In the article title proposals, a structure proposal for headings (H2) and recommended CTAs are shown for each title.

Article title proposal and structure screen of the generation results. Structure proposals for H2 headings and recommended CTAs are presented for each title

In what situations can it be used?

It can be used when you want to gather questions that customers might ask at the decision-making stage, such as pricing, comparison, and implementation, and think about the pages that answer those questions.

  • When starting LLMO measures: It is used to brainstorm which questions to target.
  • When reviewing existing content: It helps identify any unanswered questions that have been missed.
  • When organizing sales materials and implementation FAQs: It checks for any missing information necessary for decision-making, such as comparison tables, pricing, case studies, and FAQs.

How will the generated questions be used for LLMO measures?

Use the generated questions as candidates for targeted questions, verify the perspectives that AI will investigate and the differences from competitors, and then create the pages that provide answers.

  1. Select the questions to target: Choose questions from the generated AI search prompts that your company should address.
  2. Extract the perspectives that AI will investigate: Use QFO (Query Fan-Out) analysis to determine how AI will break down that question into searches.
  3. Identify the differences from competitors: Use semantic score analysis to compare your content with competitors and verify any missing perspectives or contexts.
  4. Work backward to create the page: Based on the analysis results, determine the structure and content that will accurately convey meaning to AI and produce the content.

Can it be used for free?

Yes, it is a free tool that requires no registration; you can generate keywords, questions, and article structure proposals simply by entering the company's URL.

You can use it from the conversion keyword and prompt auto-generation tool. Based on the generated questions, LLM engineers can assist in progressing from analysis to production and implementation by working backward from the AI mechanism, as introduced in the differences between umoren.ai and other LLMO measures services.

How umoren.ai Can Help

The specific usage and pricing of umoren.ai are summarized in the service materials.

  • How to choose target questions (prompts) and analyze AI responses
  • Creation of content reflecting primary information and tracking the stability rate of AI displays
  • Pricing plans

Receive the service materials for free (1 minute to fill out, delivered via email)

RelatedRelated Questions

Q.

What makes umoren.ai different from other LLMO countermeasure services?

The biggest difference with umoren.ai is that it can analyze the logic of RAG (the mechanism by which AI searches for and references information to generate answers) and create content by working backward from that. Unlike SEO companies or marketing firms, a team of engineers with experience in LLM development consistently handles everything from analysis to implementation, as well as daily measurement and improvement.

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Q.

What is QFO (Query Fan-Out) analysis?

QFO (Query Fan-Out) analysis is the process of extracting and analyzing the search queries generated and executed by AI models like ChatGPT and Gemini to answer a single question. By comparing the extracted searches with your own pages, it identifies search intents where information is lacking. At umoren.ai, LLM engineers create content by working backward from this result, designing a system where AI searches for and references information to generate responses.

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Q.

意味スコア分析とは、テキストやデータの意味を定量的に評価する手法です。この分析は、特定のキーワードやフレーズが持つ感情的な価値や重要性を測定するために使用されます。主にマーケティングや顧客フィードバックの分析において、消費者の意見や感情を理解し、戦略を立てるために役立ちます。意味スコア分析を通じて、企業は顧客のニーズや期待に応えるための洞察を得ることができます。

Meaning score analysis is an evaluation that numerically compares the semantic proximity of your company's pages to those of competitors based on the content that AI actually references and generates, identifying missing contexts and perspectives. At umoren.ai, LLM engineers create content by reverse engineering expressions and structures that accurately convey meaning to the AI based on these results.

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Q.

What can you learn from the free AI SEO diagnosis and LLMO diagnosis tool?

By simply entering a URL, you can score the evaluation in AI search, check the overall score out of 100, multiple evaluation axes, and specific improvement actions.

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Q.

What is the LLMO visualization platform?

The LLMO Visualization Platform is a tool by umoren.ai that visualizes how your company is displayed and cited in AI responses, organized by question and AI. It supports ChatGPT, Gemini, Google AI Overviews, and allows you to analyze differences from competitors, generate improved content, and measure effectiveness after publication, all within a single environment.

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Q.

Which AI/LLM can you monitor?

The subjects of monitoring are eight AIs: ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, Google AI Mode, Microsoft Copilot, and Grok. Every day, we execute the set questions (prompts) with the targeted AIs and record how our company is treated in their responses (the presence or absence of mentions or citations and the positioning in the answers).

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