Is your content showing up in AI answers?
When users ask ChatGPT, Gemini, or Perplexity a question, they get one answer - not ten blue links. Aperion's AI Search agent analyses whether your content is structured, authoritative, and cited enough to appear in those answers.
Checks AEO · GEO · structured data · conversational query alignment · authority signals · citation potential
The AI search shift
Traditional SEO is no longer enough
Zero-click search
AI Overviews now appear on 15%+ of Google searches
Google AI Overviews give users answers without clicks. Sites not cited in AI answers lose traffic even when they rank on page 1. Traditional SEO is no longer enough.
ChatGPT & Perplexity traffic
AI search engines now handle 1B+ queries per month
ChatGPT Search, Perplexity, and Gemini are rapidly growing as primary search interfaces, especially for research and comparison queries. Your brand needs to be in the answer.
Authority gap
AI models cite authoritative, structured content
AI systems preferentially cite content with clear authorship, structured formatting, factual depth, and semantic clarity. Thin or unstructured pages are never cited - regardless of domain authority.
Competitor citations
First-mover advantage in AI search is compounding
Brands appearing in AI answers build familiarity and trust before a user even visits. Being absent while competitors are cited creates an invisible competitive disadvantage.
Setup
AI search optimisation in 3 steps
No guesswork. No waiting for AI systems to maybe notice your content. A clear, prioritised action plan.
Add your URL
Aperion analyses the full content of every page - structure, authority signals, factual depth, semantic clarity, and schema markup.
AI evaluates citation potential
Every page scored for conversational query alignment, structured data quality, E-E-A-T signals, and answer-format compatibility.
Get your AI search optimisation plan
Issues ranked by citation potential. Know exactly which content changes make your pages more likely to appear in AI-generated answers.
AI Search Coverage
Every signal AI search cares about.
Aperion evaluates every signal that determines whether your content gets cited in AI-generated answers - from structured data and E-E-A-T to topical coverage and conversational query alignment.
8
AI search signals
E-E-A-T
Analysis
Schema
Validation
- Answer-format detection (direct answers to questions)
- Heading question format (H2/H3 as questions)
- Listicle and comparison structure
- Summary/TL;DR presence
- Conversational query alignment
- Author attribution
- Publication dates
- Expertise signals
- External citations
- About/contact page quality
- Brand mention consistency
- Factual depth scoring
- FAQ schema
- HowTo schema
- Article schema
- Breadcrumb schema
- Author schema (Person)
- Speakable schema for voice/AI
- JSON-LD completeness
- Topic cluster completeness
- Semantic keyword depth
- Entity coverage
- Internal linking to authority pages
- Content freshness
- Source citation quality
Audit output
See exactly what an Aperion AI search audit looks like
Structured reports with citation potential scored, E-E-A-T analysed, schema validated, and prioritised fixes identified.
AI search summary
This site has very low citation potential across AI search engines. Missing structured data, weak E-E-A-T signals, and content not formatted for conversational queries are the primary blockers.
38
AI search score
42
E-E-A-T score
61
Schema score
{
"ai_search_score": 38,
"citation_potential": "low",
"eeat_score": 42,
"structured_data_score": 61,
"conv_alignment": "poor",
"ai_overviews_ready": false
}Content structure for AI
Only 2 of 18 pages use answer-format structure. AI systems cannot easily extract citation-ready answers from narrative content.
{
"answer_format_pages": "2/18",
"question_headings": "1/18",
"summary_present": false,
"queries_matched": "3/24 target queries"
}E-E-A-T authority signals
Author attribution is missing across all pages. Publication dates absent on 14 pages. AI systems heavily weight authorship and recency signals when deciding what to cite.
- Author attribution Missing
- Publication dates Missing on 14 pages
- External citations 2 found (very low)
- Expertise signals Weak
- About page score 31/100
{
"author_attribution": false,
"pub_dates_missing": 14,
"external_citations": 2,
"expertise_signals": "weak",
"about_page_score": 31
}Structured data for AI
Critical AI-targeting schemas are entirely missing. FAQ schema alone could significantly improve Google AI Overview citation probability.
{
"faq_schema": "missing",
"article_schema": "missing",
"person_schema": false,
"speakable_schema": false,
"existing_valid": true
}Highest-impact fix identified
Adding FAQ schema to 8 pages that directly answer questions is the single fastest way to improve AI Overview citation probability.
Estimated score gain
+22 points
From top fix alone · low effort
{
"top_fix": "Add FAQ schema to 8
pages that answer direct
questions - highest AI
Overview citation potential",
"score_gain": 22,
"effort": "low"
}Frequently asked questions
- AI search optimisation - also called Answer Engine Optimisation (AEO) or Generative Engine Optimisation (GEO) - is the practice of structuring and formatting your content so it can be cited and referenced by AI-powered search engines like ChatGPT, Gemini, Perplexity, and Google AI Overviews. Unlike traditional SEO which optimises for ranking, AEO optimises for being cited as the source of an answer.
- Traditional SEO focuses on ranking high in a list of ten blue links. AI search gives users one answer, not ten options. Being on page 1 of Google doesn't guarantee you'll be cited in AI-generated answers. AI systems prioritise content that is structured, authoritative, factually dense, and formatted to directly answer questions - not just content with high domain authority.
- Google AI Overviews (formerly Search Generative Experience) are AI-generated summaries that appear above organic results for 15%+ of queries. When an AI Overview appears, users often get their answer without clicking any result - a zero-click search. Websites not cited in AI Overviews lose traffic even when they rank on page 1. Optimising for AI Overviews citation is now essential for maintaining organic traffic.
- Aperion's AI Search agent analyses every page for content structure (answer format, question headings, summaries), authority signals (E-E-A-T, author attribution, citations), structured data (FAQ schema, Article schema, HowTo schema), and semantic coverage (topical depth, entity coverage, conversational query alignment). It produces a citation potential score and a prioritised list of changes to improve visibility in AI-generated answers.
- AI systems preferentially cite content that directly answers questions (answer-format pages), uses headings phrased as questions (H2/H3), includes structured lists and comparisons, has FAQ schema, provides summaries or TL;DRs, and demonstrates expertise with author attribution and external citations. Short, direct answers to specific questions are more likely to be cited than long narrative content.
- Adding structured data (FAQ schema, Article schema) and reformatting existing content into answer format can improve AI citation potential within days of deployment. AI systems crawl frequently and update their knowledge from structured, trustworthy sources rapidly. Content authority signals (E-E-A-T, author pages, external citations) build over weeks to months.
Start appearing in AI-generated answers
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