Is your content showing up in AI answers?
AI search features increasingly summarize answers with supporting links. Aperion's AI Search agent analyses whether your content is structured, authoritative, extractable, and easy for answer engines to understand.
Checks AEO · GEO · structured data · answer-friendly content · authority signals · AI search readiness
The AI search shift
Traditional SEO is no longer enough
AI search surfaces
AI features now sit inside mainstream search journeys
Google says AI Overviews and AI Mode use the same SEO fundamentals, with no extra technical requirement for eligibility. Content still needs to be clear, helpful, and accessible to crawlers.
ChatGPT & Perplexity traffic
Research and comparison journeys are changing
ChatGPT Search, Perplexity, Gemini, and Google AI features increase the value of answer-ready pages with clear entities, summaries, source signals, and useful structure.
Authority gap
Answer engines need clear source material
Pages with clear authorship, structured formatting, factual depth, semantic clarity, and visible source material are easier for answer engines to parse and reference.
Competitive visibility
First-mover advantage in AI search is compounding
Brands with clearer, more useful source pages are better prepared for search experiences that summarize and compare options before users click.
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 search readiness
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 readiness impact. Know which content changes make your pages easier for answer engines to understand.
AI Search Coverage
Signals that make content easier to understand.
Aperion evaluates readiness signals that help answer engines understand your content - from structured data and E-E-A-T context 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 AI search readiness scored, E-E-A-T analysed, schema validated, and prioritised fixes identified.
AI search summary
This site has low AI search readiness. 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 readiness",
"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 making content clear, extractable, authoritative, and easy for answer engines to understand. It builds on SEO fundamentals rather than replacing them.
- Traditional SEO focuses on crawling, indexing, relevance, and visibility in search results. AI search features can summarize answers with supporting links, but there are no special technical requirements that guarantee inclusion. Helpful, reliable, people-first content and sound SEO fundamentals still matter.
- Google AI Overviews and AI Mode are AI features in Search that can show summaries and supporting links when Google determines they add value. Google says the same SEO fundamentals apply, with no extra schema or special file required for eligibility.
- Aperion's AI Search agent analyses every page for content structure, authority signals, structured data, entity clarity, extractability, and topical coverage. It produces an AI search readiness score and a prioritised list of changes that make content easier to understand and reference.
- Answer-friendly content usually gives direct answers, uses clear headings, includes structured lists and comparisons where helpful, keeps important content in text, and demonstrates expertise with author attribution and source references. Structured data can clarify meaning when it matches visible content, but it does not guarantee inclusion in AI search features.
- Improving structure, clarity, internal linking, and structured data can make pages easier for search systems and answer engines to understand. Crawl, indexing, and inclusion timelines vary by platform, so Aperion focuses on readiness and issue prioritization rather than promising a specific visibility timeline.
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