12. Information Structure Rewrite (AI Summary Support) | For the Manufacturing Industry
Instead of correcting the article, we will correct how it is read. We will perform "structural rewriting" that ensures the strengths do not deviate even when summarized by AI.
In the era of generative AI and AI search, the evaluation and understanding of text depend not on the quality of the writing but on the "structure of information." AI does not read the entire text carefully; instead, it summarizes based on clues such as headings, definitions, relationships, and comparison axes, presenting candidates. Texts with ambiguous structures may lose their strengths or be summarized on par with competitors, putting them at a disadvantage in comparisons. This service involves "structural rewriting," which reorganizes existing pages into a form that is "not misread by AI and can be communicated instantly to people," including the design of headings, definitions, comparison axes, and the order of evidence. ■ Provided Content (3 Points) - Identification of causes for discrepancies in summaries (insufficient definitions/unclear relationships/insufficient evidence/inappropriate order) - Structural rewriting (redesign of headings, key points, comparison axes, FAQs, and case study pathways) - Template creation for horizontal deployment (creating a format that can be applied to similar pages) Deliverables: Rewritten manuscript with structural headings + list of improvement points + applicable template Scope/Assumptions: Initially targeting 3 to 5 main pages (expandable) / Implementation (CMS reflection) is separate or handled by your company. *Please share the target URL. We will identify the "areas where you are losing out" in AI summaries and propose the most effective rewriting scope.
basic information
■Provided Content Redesign of Definition Statements: - Fix company definition/product definition/application definition at the beginning (create an axis for AI summarization) Reorganization of Heading Structure: - Arrange in the order of "Situation → Disadvantage → Solution → Evidence → Decision-Making Materials → CTA" Clarification of Comparison Axes: - Present judgment materials other than price (quality, supply, system, compatibility conditions) in a structured manner Accumulation of Evidence: - Numbers/standards/system/process/results (industry × application × issues × measures) Counterargument Handling (FAQ): - Proactively address common concerns (delivery time, quality, system, cost) Deep Dive Pathways: - Design "Next to Read" links to case studies, document downloads, and comparison pages Template Creation: - Create a "structural format" that can be horizontally deployed to similar product pages ■Deliverables Rewritten manuscript with structure (heading structure + key point organization + up to CTA) List of Changes (what was changed and why: basis for AI summarization correspondence) Horizontal Deployment Template (structural format for similar pages) Priority List (order of pages to be revised next)
Price information
Light: 150,000 yen (Main 1 page: Structural rewrite + improvement points) Standard: 400,000 yen (3-5 pages: Structural rewrite + templating) Expanded: 700,000 yen and up (More than 10 pages / Cross-development of product groups / Including case studies and FAQ organization) *Can be changed to require a quote.
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Applications/Examples of results
■Concerns AI summaries miss strengths or misalign content The definition of products/services cannot be conveyed in a single phrase Despite having a lot of text, they are not chosen in comparisons Only specifications are explained, and decision-making criteria are not presented There are case studies, FAQs, and materials, but they are not utilized on the page ■Approach Pre-sharing: Target URL (3-5 pages) / Product overview / Competitors (optional) Analysis: Identify causes of misalignment and missing points in AI summaries Structural rewrite: Reconstruct headings, definitions, comparison criteria, evidence, and pathways Delivery + Reporting: Provide applicable templates and prioritize pages to be revised next ■Uses Prevent misreading and weakening during AI summarization (ensuring strengths are accurately retained) Prevent candidate drop-off during comparisons (presenting decision-making criteria) Unifying the quality of product page groups (template horizontal deployment) Gradual improvement of existing pages (achieving results before renewal) ■Examples of Achievements (Confidentiality Consideration Format) Precision machining × 80 employees × inability to convey strengths × improved summary misalignment through restructured definitions and comparison criteria Industrial equipment × 200 employees × listing specifications × added decision-making materials and FAQs to enhance selection in comparisons Chemical materials × 500 employees × numerous product groups × horizontal deployment of rewriting through templating
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