Make your content AI-preferred

Hi, Moose optimizes your owned pages so AI search experiences can confidently extract, verify, and use them, leading to more mentions and citations.
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AEO analysis results UI screenshot from Hi, Moose AEO platform
AEO and GEO scores from various categories - UI screenshot from Hi, Moose

Clarity on what to change for AI search

Go from "what do we change?" to a shippable plan. Hi, Moose gives you a prioritized diagnostic, explains why each issue matters for AI search, and delivers page-specific updates, so your content becomes easier to extract, verify, and cite.

Moose captures the grounding queries

Grounding queries reveal what Google Gemini verifies and cites when building a response.

Hi, Moose analyzes these queries to help you understand how Google uses content to answer real user questions and guide your content toward stronger citation potential.
UI screenshot of Google AI Mode interpretation drift analysis within Hi, Moose
Screenshot of AEO A/B Testing tool within Hi, Moose

Run A/B-style AEO tests against real cited sources

Choose a prompt or topic, Moose pulls the cited sources, builds comparable evidence packs, and runs repeatable judge trials. You'll see where you rank in the set and what to change to improve.

Know what to change on each page

Get specific, on-page updates (with optional paste-ready text) that make your content clearer, more verifiable, and more likely to be used in AI search experiences.
Example of one of the suggested AEO improvements: "Add a section" under the category of "Comprehensiveness". Covers for the user "Why consider this change", and provides improved version of the content the user is able to copy directly to their clipboard.

SEO / AEO Features (Answer Readiness Signals)

  • Citation Alignment Analysis – Reveal how your content and brand align with AI systems like Google Gemini, ChatGPT, and other AI search tools to boost citation potential.
  • Grounding Query Detection – Uncover the real queries Google uses to understand your topic and align your content with how it reasons.
  • Extractability Scoring – Measure how easily LLMs can pull insights and summaries directly from your content.
  • Entity & Semantic Scoring – Analyze how clearly your content communicates entities, context, and meaning for maximum AI visibility.
  • Freshness & Structure Optimization – Evaluate your content's recency, organization, and readability to stay visible in AI results.
  • Actionable Improvement Blueprint – Get precise, prioritized recommendations so you can take action right away, no vanity metrics.

Methodology & data sources

  • What we analyze: We parse your page’s rendered content (HTML and visible text), headings/section structure, internal links, metadata, and formatting patterns that influence answer extraction (definitions, lists, TL;DR blocks, FAQs, etc.).
  • Query-first scoring: Every audit is scored against a specific target query and intent, not generic keyword density, so recommendations reflect what you actually want the page to answer.
  • Answer-engine readiness checks: We evaluate 11 diagnostic categories including Structure, Extractability, Answer Readiness, Citation Potential, Semantic Clarity, Entity Clarity, Topic Coverage, Freshness, and Factual accuracy signals, to estimate how likely your content is to be understood, extracted, and cited by modern AI answer experiences.
  • Topic & citation alignment signals: We use limited external SERP/overview context to detect mismatches between what answer engines expect to summarize/cite and what your content currently covers.
  • Transparent recommendations: Each suggestion is tied to a specific diagnostic flag (e.g., missing direct answer, unclear entities, multi-claim paragraphs, weak attribution), so you can see exactly what triggered it.
  • Important limits: Scores are probabilistic indicators, not guarantees. AI outputs vary by model, prompt, locale, personalization, and time.

Want more detail? Read the AEO scoring methodology.

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AEO Platform FAQs

Questions + answers

What does "Answer Readiness" mean?
Answer Readiness describes how easily your content can be used as a direct answer in AI-powered search experiences. It reflects clarity, structure, entity consistency, and whether key information is easy for AI systems to extract and cite.

Hi, Moose uses Answer Readiness as a way to prioritize the same SEO fundamentals that matter most for modern, AI-driven search.
What does an SEO/AEO analysis actually do?
It looks at how ready your content is to show up in AI search, AI chat, and search result pages. Hi, Moose will look at what's clear, what's confusing, and what’s missing. You’ll see what’s helping visibility and what may be holding it back, and ultimately show you where you have room for improvement.
What kind of things does it check?
It checks a wide range of on-page signals, including:
  • Answer readiness: direct answers, Q&A patterns, scannable formatting, and summary-friendly passages.
  • Entity clarity: consistent naming, definitions, and context around key concepts.
  • Extractability: whether key facts are easy to quote without losing meaning.
  • Freshness: visible "last updated," outdated statements, and time-sensitive sections.
  • Sourcing cues: citations, references, and attribution patterns.
  • SEO fundamentals: crawlability/indexability, internal linking, metadata quality, and page experience basics.
We also compare patterns across multiple AI systems to understand how competitors' pages are being summarized and cited.
What is Citation Alignment?
Citation Alignment is the process of analyzing and improving your content based on how AI systems (such as Google AI Mode and Google AI Overviews) interpret, retrieve, and cite information when generating answers. Hi, Moose captures the grounding queries that Gemini uses, helping you understand whether your content aligns with what’s being verified and cited.
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For a deeper dive on the topic, read our blog post on Citation Alignment.
Who is the SEO action platform for?
SEOs, content teams, and marketers who are looking for help to increase their visibility in traditional SERPs, AI search, and AI chat.
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization (AEO), also known as AI SEO, Generative Engine Optimization (GEO), or AI Optimization (AIO), is the practice of optimizing your content in a way for AI systems like ChatGPT, Google Gemini, and Perplexity to more likely use and reference your content within their responses.
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AEO isn’t a replacement for SEO. The same fundamentals still matter and a very much applicable: strong structure, good speed and page performance, clear intent alignment, trustworthy sourcing, and topical depth. The difference is in how those same fundamentals are prioritized tactically to make your content easier for AI systems to understand, extract, and cite as users increasingly rely on AI-generated answers.
What is Generative Engine Optimization (GEO)?
Generative Engine Optimization (GEO) focuses on similar goals but through the lens of AI chat and generative systems that create responses dynamically. Like AEO, it relies on many long-standing SEO practices like clarity, structure, authority, and freshness but places added emphasis on making your content readable and referenceable by large language models (LLMs). In other words, GEO is still SEO at its core, just adapted for how AI-driven search experiences process and deliver information.
What’s the difference between AEO and GEO?
There's no meaningful tactical difference in practice. The two terms are often used interchangeably to describe optimizing for visibility in AI search and generative chat experiences. Both aim to help your content get recognized, understood, and cited by AI systems. At Hi, Moose, we treat AEO, GEO, and AI SEO all as part of the same discipline, understanding how AI interprets content and applying proven SEO tactics in ways that make sense for this new layer of search.
AEO
January 28, 2026

Treating AEO Like CRO: Controlled Experiments, Repeatable Tests, Measurable Deltas

Run controlled AEO experiments with an LLM judge, fixed competitors, and measurable content deltas.
Read Article

AEO isn't separate from SEO, it builds on it

The same SEO fundamentals still matter. What's changed is how AI systems retrieve, summarize, and cite content.

What is AEO? Citation-ready definition

Answer Engine Optimization (AEO) is the practice of structuring and maintaining webpages so AI-driven search and chat systems can reliably extract, verify, and cite specific facts.

  • AEO emphasizes clear question-answer patterns and entity consistency.
  • Scannable formatting, up-to-date sourcing, and citation-friendly passages further increase the likelihood of being cited by answer engines.

Suggested citation: "Hi, Moose. ‘SEO for AI Answers (AEO).’ Accessed February 3, 2026."

This page was last updated on February 3, 2026

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