Traditional content marketing targets Google. AI models use different signals. per4mx tells you exactly what to write, generates the content, and publishes it — so you show up where buyers actually look.
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For twenty years, content marketing meant one thing: write blog posts that rank on Google. Optimise for keywords, build backlinks, get featured snippets. The playbook was clear, and it worked.
Then AI assistants arrived and rewrote the rules. When a buyer asks ChatGPT for vendor recommendations, it doesn't scan Google results — it synthesises from its training data and real-time web access. The signals that matter are different: entity clarity, content specificity, structured data, persona alignment, and topic authority. A page that ranks #1 on Google can be completely invisible to AI.
Most companies are still creating content for the old playbook. They're optimising for keywords that AI models don't weight, ignoring structured data that AI models depend on, and publishing in formats that AI can't parse efficiently. The result: their content performs well on Google but generates zero AI recommendations.
per4mx doesn't just tell you that you're invisible — it tells you why, and gives you the exact content to fix it. The gap analysis identifies the specific topics, claims and data points that AI models expect to see from a vendor in your category. Then the content engine generates ready-to-publish articles, landing pages and structured data that address those exact gaps.
The result is a closed loop: monitor your visibility, identify gaps, generate content, publish it on your own website, and watch your rankings improve. No agency, no content calendar debates, no six-week editorial cycles. From gap identified to content ready in minutes.
per4mx queries all seven AI models for your category, analyses the responses, and identifies the exact topics and claims where competitors outrank you. Every gap comes with a specific, actionable recommendation.
One click turns a gap into a ready-to-publish article. The AI writes content that addresses the specific weakness identified — with the right claims, the right data points, and the right structure for AI consumption.
Export ready-to-publish content directly from per4mx. Copy it into your CMS, publish it on your website — no developer involvement needed. Content is structured for AI consumption from the start.
per4mx generates an llms.txt file — the emerging standard for telling AI models what your company does. Think of it as robots.txt for the AI era: a structured, machine-readable summary of your business that you publish on your own domain.
AI models do not rank content the way search engines do. Understanding the signals they use is the difference between content that generates recommendations and content that gets ignored. per4mx's gap analysis evaluates your content against all five of these signals and tells you exactly where each piece falls short.
When a buyer asks "best ERP providers for manufacturing", the AI model needs to identify entities — specific companies — that match this category. If your website never explicitly states "we are an ERP provider for manufacturing companies", the model may not make the connection. Entity clarity means your company name, category, target market, and core offering are stated unambiguously in your content. per4mx checks whether AI models correctly identify your entity and generates content that eliminates ambiguity.
AI models heavily favour specific, concrete claims over generic marketing language. "We help companies grow" is meaningless to an AI model. "We reduced procurement cycle time by 40% for a CHF 50M Swiss pharmaceutical manufacturer" gives the model a specific data point it can use to justify a recommendation. per4mx's content generation always includes specific claims, metrics, and use cases because that is what moves rankings. The gap analysis identifies exactly which types of specificity your content lacks.
Schema.org markup, Open Graph tags, and the emerging llms.txt standard all help AI models parse your content more efficiently and accurately. A beautifully designed website with no structured data is harder for AI to interpret than a plain-text page with proper Schema markup. per4mx generates your llms.txt file — a machine-readable summary of your business that AI crawlers specifically look for — and audits your existing structured data for gaps.
A single page about a topic does not establish authority. AI models look for comprehensive coverage: multiple pages addressing different aspects of the same domain, technical documentation, case studies, FAQs, and comparison content. If your competitor has 15 pages covering procurement automation and you have one, the model will recommend them — even if your product is better. per4mx maps your topic coverage against competitors and generates the content needed to achieve parity or superiority.
Different buyers phrase the same need differently. A CFO asks about cost reduction and ROI. A CTO asks about architecture and integration. A procurement lead asks about certifications and vendor compliance. Your content needs to address all of these angles because AI models match content to the specific phrasing and intent of each query. per4mx simulates queries from multiple buyer personas and generates content targeted at each persona's language and priorities.
per4mx does not generate generic blog posts. Every piece of content is designed to address a specific gap identified in your AI visibility analysis. Here are the content types the platform produces and how each one contributes to your AI rankings.
Long-form articles that establish topic authority on a specific subject. These typically cover a topic comprehensively — definition, use cases, implementation considerations, comparison with alternatives, and specific recommendations. AI models use these articles to determine whether your company has genuine expertise in a topic area, which directly impacts recommendation rankings.
Pages that explicitly position your company within a competitive category. "Best CRM solutions for Swiss SMBs: a comparison" is exactly the type of content AI models draw on when answering vendor recommendation queries. per4mx generates these pages with your competitive positioning clearly articulated, including honest differentiation points that AI models find credible.
Detailed pages covering certifications, integrations, technical architecture, and product specifications. When a buyer asks an AI model for vendors with specific technical requirements — "ERP with SAP integration" or "ISO 27001 certified cloud platform" — these pages provide the structured data AI models need to include you in their response. per4mx generates these pages with proper Schema.org markup.
FAQ pages are particularly effective for AI visibility because they mirror the question-answer format that AI models use internally. When a buyer asks "What is the best tool for X?", an FAQ entry that directly answers this question is highly likely to be surfaced by the model. per4mx generates FAQ content based on the actual queries buyers use, structured with FAQ Schema markup that AI crawlers can parse directly.
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Just as robots.txt tells search engine crawlers how to navigate your website, llms.txt tells AI models what your company does. It is a machine-readable summary of your business — your products, services, target markets, certifications, and competitive positioning — formatted specifically for AI consumption.
The llms.txt standard is gaining rapid adoption because it solves a fundamental problem: AI models often misunderstand or misrepresent companies because they piece together information from scattered web pages, third-party articles, and outdated training data. An llms.txt file provides a single authoritative source of truth that AI models can reference when generating recommendations.
per4mx generates your llms.txt file automatically. The file is editable through the platform — you can review and update your company description, product offerings, and competitive positioning at any time. Export it and publish it on your own domain so AI crawlers can find it.
Companies that adopt llms.txt early gain a significant advantage because AI models actively look for this file when crawling websites. It is still uncommon enough that having one immediately differentiates you from competitors who lack it. per4mx makes this as simple as clicking a button — no technical implementation required.
Whether you want to secure your current ranking, improve it, or lead it — per4mx has the right plan for every company. You decide how much to invest and where to focus. Pay monthly, or choose annual and get one month free.
Enter your domain and per4mx tells you exactly what to write to get recommended by ChatGPT, Claude and Perplexity.
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