What steps can I take to monitor my GEO score on a day-to-day basis?

To monitor your GEO score regularly, log into your AigeoRadar dashboard where you can track your AI Readiness, Authority, and overall GEO scores. The dashboard provides a comprehensive overview and updates on how well your site is optimized for AI visibility. Additionally, the Action Center will list any issues detected along with suggested fixes, many of which can improve as your discovery assets go live. For more in-depth analysis, consider running an LLM Visibility A/B test if you have a Pro plan, which compares AI responses before and after deploying your discovery package context.

What common mistakes should I avoid while using AigeoRadar?

Common mistakes include not verifying your website's URL format before initiating a crawl, which can lead to errors. Another mistake is neglecting to implement the recommended fixes from the Action Center, which can hinder your site's AI performance. Additionally, ensure that you regularly update your llms.txt and structured data files as your site content changes. Finally, avoid using overly vague or generic content, as this can negatively impact your GEO scoring.

What are the plan limits for AigeoRadar?

AigeoRadar offers different subscription plans, each with its own limits on the number of crawls, sites, and features available. For detailed information on plan limits, visit the "Pricing" page on the AigeoRadar website after logging in. Each plan outlines the maximum number of websites you can analyze, the frequency of crawls allowed, and which premium features you can access. Be sure to choose a plan that meets your business needs.

Can I integrate AigeoRadar with my existing WordPress or Shopify site?

Yes, AigeoRadar offers integrations for both WordPress and Shopify. For WordPress, download the WordPress Connector plugin from the AigeoRadar dashboard and install it on your site. For Shopify, simply install the AigeoRadar app from the Shopify App Store and follow the prompts to connect your store. Once integrated, AigeoRadar will automatically scan your site and provide specific recommendations for optimization.

What files does AigeoRadar generate to improve my site?

AigeoRadar generates several important files to enhance your site's AI readiness. These include llms.txt, which informs AI about your content, entity.json to define entities related to your business, and knowledge.json to deliver structured information. Additionally, the platform provides a draft for Content Factory to help you create optimized content. You can download these files directly from the Action Center after your crawl is complete.

How do I access the Action Center for fixes?

After your website is crawled, navigate to the "Action Center" from your AigeoRadar dashboard. Here, you'll find a list of issues detected during the crawl along with actionable recommendations. Each fix will include detailed instructions on what changes to make, such as creating an llms.txt file or adding FAQPage schema. Follow the step-by-step guidance provided to address these issues and optimize your site for better AI visibility.

What should I do if I encounter issues during the website crawl?

If you experience issues during the crawl, first check that your website is publicly accessible and that there are no restrictions, such as a robots.txt file disallowing crawlers. Ensure that you entered the correct URL without typos. If the problem persists, try clearing your browser cache or using a different browser. You can also consult the AigeoRadar help section for troubleshooting tips or contact support for further assistance

What does the GEO scoring entail?

GEO scoring in AigeoRadar evaluates how well your website is optimized for generative AI assistants like ChatGPT, Claude, and others. After the crawl, you will see a score that reflects your site’s AI visibility and readiness. This score is based on various factors, including the presence of structured data, content relevance, and overall site authority. To improve your score, follow the recommendations provided in the Action Center after the crawl is complete.

How do I crawl my website using AigeoRadar?

To crawl your website, log into your AigeoRadar account and navigate to the "Crawl" section on the dashboard. Enter your website URL in the designated field and click the "Start Crawl" button. The platform will take a few moments to analyze your site and build a knowledge graph. Once the crawl is complete, you will receive a summary of your site's AI readiness and authority scores, along with any detected GEO issues.

What are the prerequisites for using AigeoRadar?

Before using AigeoRadar, ensure you have administrative access to your website and the ability to install plugins if you're using WordPress or Shopify. For WordPress users, you will need the WordPress Connector plugin, which can be downloaded from the AigeoRadar dashboard after logging in. Additionally, make sure your website is live and accessible online, as AigeoRadar requires a functioning URL to crawl and analyze your site effectively

AI Page Manifest (AIPM): Open Specification for Machine-Readable Page Metadata

AI systems struggle with HTML. Navigation, footers, ads, and layout noise make it expensive for ChatGPT, Gemini, Claude, and Perplexity to understand what a page is really about. AI Page Manifest (AIPM) solves this with a machine-readable sidecar file at {path}.ai.json — published by AigeoRadar as part of the AI Discovery Framework (ADF).

What is AI Page Manifest (AIPM)?

AI Page Manifest (AIPM) is an open specification for describing a web page in a structured JSON format optimized for AI consumption. Each HTML page can publish a sidecar manifest:

https://example.com/blog/my-post → human-readable HTML
https://example.com/blog/my-post.ai.json → AI Page Manifest (AIPM)

The manifest answers questions AI systems would otherwise guess: What is this page about? Who published it? What verifiable claims does it make? Is the content current?

Why HTML alone is not enough for AI visibility

Traditional SEO optimizes for search engine crawlers. GEO (Generative Engine Optimization) optimizes for AI assistants that synthesize answers from multiple sources. When an AI reads HTML, it must infer:

Page intent and primary topic
Key entities (brands, products, concepts)
Which claims are verifiable
Whether content is fresh or stale

AIPM removes that guesswork. Instead of parsing hundreds of lines of markup, AI systems read a focused JSON document with purpose, abstract, mainEntity, claims, and contentFreshness.

How AIPM fits the AI Discovery Framework

AigeoRadar's AI Discovery Framework (ADF) is a layered ecosystem:

Site level: llms.txt, entity.json, knowledge.json, ai-feed.xml
Page level: AI Page Manifest (AIPM) at *.ai.json

Think of it this way: llms.txt is the site map. entity.json is the brand identity. AIPM is the page-level manifest — one per URL, with structured metadata AI can cite accurately.

Read the full specification: aigeoradar.com/specifications/aipm

What is inside an AIPM file?

AIPM v1.2.0 includes fields designed for both humans and machines:

specification — identifies the format (AIPM, version, RFC)
purpose — why this page exists (one editorial sentence)
abstract — executive summary (typically matches meta description)
mainEntity — named entities with importance (primary, secondary, mentioned)
keyFacts — 3–7 editorial atomic facts
claims — verifiable claims with type (internal or external) and evidence URLs
relatedPages — topic graph with anchor text for AI citations
contentFreshness — current, fresh, aging, or stale

JSON Schema: /schemas/aipm/1.2/page-manifest.schema.json

Live example: this page has an AIPM sidecar

This blog post publishes its own manifest. After you publish, open:

https://aigeoradar.com/blog/ai-page-manifest-aipm-open-specification-for-machine-readable-page-metadata.ai.json

In the HTML <head>, you will also find:

<link rel="alternate" type="application/json"
      href="/blog/.../post.ai.json"
      title="AI Page Manifest (AIPM) v1.2.0">

This is the same discovery pattern used by JSON-LD — but purpose-built for AI page context, not schema.org entity markup alone.

AIPM vs JSON-LD vs llms.txt

Format	Scope	Best for
JSON-LD	Entity markup in HTML	Search engines, rich results
llms.txt	Site-wide index	AI site discovery
AIPM	Per-page sidecar	AI page understanding, citations, RAG

They complement each other. AigeoRadar publishes all three — plus entity.json and knowledge.json — as a complete AI Discovery Package.

Who should use AIPM?

SaaS and B2B brands that want accurate AI citations
Agencies delivering GEO audits and structured content
Publishers and blogs with high-value evergreen content
Developers building AI-ready CMS plugins and static site generators

AigeoRadar uses AIPM on every marketing page and blog post as the reference implementation. WordPress and Shopify customers receive llms.txt and entity.json today; native AIPM generation in connectors is on the roadmap.

Getting started

Read the spec: AI Discovery Framework (ADF) → AI Page Manifest (AIPM)
Study examples: Live AIPM examples
Review RFC AIPM-001: Core specification
Run a free AI visibility scan to see your site's discovery gaps
Deploy discovery files with the WordPress Connector or Shopify app

What's next for AIPM

The specification is open and maintained by AigeoRadar. Coming soon: public GitHub repository, validator CLI, PHP package, and WordPress AIPM module for automatic .ai.json generation on every post.

Developers: aigeoradar.com/developers → Specifications

Conclusion

AI Page Manifest (AIPM) is how web pages declare structured intent to AI systems — without forcing crawlers to reverse-engineer HTML. If GEO and AI visibility matter for your brand, AIPM is the page-level standard to adopt alongside llms.txt and entity.json.

View pricing · Free AI visibility scan · Read the AIPM specification

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Jul 6, 2026