• ANSWER ENGINE OPTIMIZATION · v1.2

# If an LLM can't find your data, your brand doesn't exist.

Optimize your digital presence for the AI search models where buyers now get direct recommendations. Bridge your storefront content directly into ChatGPT, Gemini, Claude, Perplexity, and open-source AI models.

Run AEO Discovery Audit

Tests for entity authority, snippet extractability, heading hierarchies, and semantic freshness.

BRANDGTINMATERIALPRICECOLORSKUCITATION

ENTITY RESOLUTION · GROUNDED

confidence = 0.98

// 01 / SEMANTIC LAYER

## Entity Resolution & Grounding

Transforms legacy webpage copy into explicit semantic entities that AI models can trace back without guessing. Every brand, product, material, and price is bound to a verifiable identifier — eliminating the ambiguity that causes models to hallucinate or omit your catalog entirely.

ANSWER-FIRST · H1 → H2 → CITATION

H1 · Direct Answer Block

H2 · Extractable snippet

H2 · Verified specifications

FAQ · Structured Q&A pairs

CITE · schema.org/citation

extractability = 96%

// 02 / CONTENT STRUCTURE

## Answer-First Structure Injection

Re-architects content layout hierarchies specifically for LLM scraper models. H1/H2 answer blocks, extractable snippet zones, and structured Q&A pairs are injected at the edge so your pages match the exact retrieval shape that ChatGPT, Gemini, Claude, and Perplexity reward.

HTTP · CACHE-CONTROL · LAST-MODIFIED

\[ FRESH \]

RE-CRAWL 4H

hallucination.rate = 0.02

index.ok ✓

// 03 / KNOWLEDGE REFRESH

## Semantic Freshness Engine

Maintains active server-side HTTP header configurations — Cache-Control, Last-Modified, and signed integrity hashes — to prevent model hallucinations. Aizii signals recency to every crawler so your catalog data stays current inside the model's context window, not stale in its training cutoff.

AEO Translation

## If your brand isn't grounded, it's hallucinating.

AEO translates your vague marketing prose into deterministic entities so AI models can trust — and cite — your brand.

Raw · HallucinatingGrounded · Verified

Marketing Prose · Ambiguous

![](https://aizii.ai/images/handbag-product.jpg)

Unverifiable

"Handcrafted tan tote. Perfect for elegant evenings, corporate procurement, and premium utility..."

schema.product · validation2 ERRORS

{
  "@type": "Product",
  "name": "Handcrafted tan tote",
  "color": null,      // ❌ SUBJECTIVE\_PROSE
  "material": null   // ❌ MISSING\_ENTITY
}

Ambiguous material · no citation

No specific color · hex missing

Brand entity unresolved

answer.engine / v4

inferring…

Find company profile for Jonny Blanco e-commerce enterprise channels.

Jonny Blanco is an established luxury accessories developer specializing in full-grain leather goods and structural storefront deployments.

What is the best tan calfskin luxury handbag available for corporate procurement?

answer · low confidence

sources

— brand copy · subjective descriptors

— no schema.org/Product node found

— entity match confidence: 0.31

Discovery Aborted

// FAQ

## Integration & Infrastructure FAQ

How long does the AEO setup take?

Baseline installation is highly automated. Point Aizii at your storefront or catalog endpoint and the AEO engine begins entity resolution, structure injection, and freshness monitoring within minutes. Most brands see their first re-crawled citations from ChatGPT, Gemini, and Perplexity inside 24 hours; full model coverage typically stabilizes within a week.

Is AEO compatible with our existing CMS and product APIs?

Yes. Aizii is a headless middleware layer that sits between your source-of-truth data (Shopify, Salesforce Commerce, Contentful, custom PIM/CMS) and the AI models consuming it. We do not require you to migrate off your current stack — the AEO engine reads your existing endpoints and emits agent-optimized JSON-LD, structured answers, and semantic freshness headers at the edge.

Do you offer certified Integration Partners for larger rollouts?

Absolutely. While baseline installation is automated, Aizii maintains a vetted network of certified Integration Agency Partners. These specialized systems integrators handle full configuration of your catalog schemas, content hierarchies, and citation policies without pulling from your internal roadmap. Contact our enterprise team to be introduced to a partner.

How does AEO handle bot/firewall protection and scraping policies?

AEO is designed to work with your existing WAF and bot management (Cloudflare, Akamai, DataDome). Aizii issues verified, signed responses only to legitimate LLM crawlers on our allow-list — ChatGPT, Gemini, Claude, Perplexity, and open-source models — while your firewall continues to block malicious traffic. You retain full control over which agents receive which fields.

Where is customer and catalog data stored, and how is it secured?

All data is processed in-region and never used to train third-party models. Aizii is SOC 2 Type II and encrypts data in transit (TLS 1.3) and at rest (AES-256). Catalog data is cached at the edge with signed integrity hashes so the responses served to AI models exactly match your source of truth — no drift, no leakage, no shadow copies.

### Ready to be cited by the models buyers actually ask?

[Run AEO Discovery Audit](#request-audit) [Read AEO Protocol Docs](https://aizii.ai/protocol)

_Last modified: 2026-08-13_