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AI Engine Optimization (AEO)

Everything you need to understand AEO, audit your brand, and build a systematic citation presence across ChatGPT, Claude, Perplexity, and Gemini.

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Foundational Guides
Learn AEO from First Principles

The guides you need before you start optimizing. Covers the methodology, the tools landscape, and the ROI case.

Deep Dive
Complete Guide to AEO 2026
The comprehensive AEO reference: strategy, technical implementation, measurement, and compounding returns.
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Technical
Generative Engine Optimization (GEO)
How generative AI retrieval differs from keyword search and what it means for your optimization strategy.
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Research
AEO Tools Compared 2026
What the major AEO platforms actually measure and where they have gaps. Data-driven comparison.
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Tools & Calculators
Measure and Model Your AEO Investment

Interactive tools to benchmark your current position and calculate the value of improving it.

Checklist
AEO Audit Checklist
Systematic checklist for auditing your brand's AI search readiness across all major LLMs.
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Calculator
AEO ROI Calculator
Model the revenue impact of improving your AIS score. Useful for making the internal business case.
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Calculator
Citation Gap Calculator
Estimate how many citations you're missing across engines and what that costs in potential reach.
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Technical AEO
Technical Implementation

The infrastructure layer: structured files and schema that make your content machine-readable by LLMs.

Generator
llms.txt Generator
Generate a properly structured llms.txt file that tells AI systems how to cite your brand.
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Template
agents.json Template
The emerging standard for telling AI agents how to interact with your site and brand information.
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Technical
Schema.org for AI Ingestion
Which Schema.org types LLMs actually parse, and how to structure your markup for citation eligibility.
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Platform Comparisons
AEO Tools and Platform Analysis

Neutral, data-driven comparisons of the major AEO platforms. We're the analyst, not a participant.

Comparison
Best AEO Tools 2026 — Full Comparison
Side-by-side pricing tables and feature matrices for Peec AI, AthenaHQ, Scrunch AI, AIclicks, Otterly.AI.
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Comparison
AEO Platform Comparison Guide
In-depth feature breakdown: what each platform measures, what it misses, and which use case it's best for.
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Comparison
AI Search Platform Comparison
How the major AI search platforms differ in citation behavior, retrieval logic, and brand surface area.
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Know your AIS score before optimizing

74% of brands score below 40/100. Free scan across ChatGPT, Claude, Perplexity, and Gemini — 60 seconds.

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Hub
LLM Visibility Hub
How to rank inside ChatGPT, Claude, Perplexity, and Gemini — platform-specific tactics.
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Hub
Brand Monitoring Hub
Track your brand across AI engines, detect hallucinations, and monitor citation trends.
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Frequently asked questions

What is AEO and why does it matter in 2026?

AEO, or Answer Engine Optimization, is the discipline of optimizing a brand's online presence to be cited by large language models when they answer user queries. AEO matters because 40%+ of buyers under 35 now use ChatGPT or Perplexity for product research before Google.

How is AEO different from traditional SEO?

Traditional SEO targets Google ranking signals — backlinks, E-E-A-T, Core Web Vitals. AEO targets LLM citation signals — training-data breadth, third-party authoritative mentions, schema markup parseability, and brand disambiguation. The two share 60–70% of tactics but diverge on signal sources.

Does AEO require a separate content strategy?

AEO layers on top of SEO. Most AEO wins come from reinforcing E-E-A-T outside the brand's own site — directory listings, Wikipedia or Wikidata entries, named-tier trade press coverage, and an llms.txt file — rather than from new content production alone.

What is the AIS Index and how is it calculated?

The AIS Index is a 0 to 100 aggregation of four components: Visibility (40%) measuring share of voice across 24 buyer-intent prompts; Authority (30%) measuring citation breadth across trusted third-party domains; Sentiment (20%) measuring tone and accuracy; and Adversarial (10%) measuring resistance to competitor hullucination.

AIS Index by Source Category
Direct brand mentions in LLM responsesHigh weight (40% of Visibility)ChatGPT, Claude, Perplexity, Gemini
Wikipedia / Wikidata entriesHigh weight (20% of Authority)Wikipedia, Wikidata
G2 / Capterra / Crunchbase listingsHigh weight (15% of Authority)G2, Capterra, Crunchbase
llms.txt + agents.json declaration filesMedium weight (10% of Visibility)Domain root
Trade press + .edu / .gov citationsMedium weight (15% of Authority)HBR, Stanford CRFM, MIT Tech Review
FAQPage + HowTo schema on your own pagesMedium weight (10% of Visibility)Schema.org parsers
Brand bylines in named publicationsMedium weight (10% of Authority)TechCrunch, Forbes, HBR
Reddit / community forum presenceLower weight (5% of Authority)Reddit, Hacker News