Eight core modules · a quantifiable delivery system

aileo is advisory engineering, analogous to the role a traditional 4A agency plays in the AI era: we do not sell consulting concepts; we sell engineering outcomes you can count on. The core value is helping clients accumulate brand digital assets across AI platforms — so the brand is discovered, understood, cited and verified by AI.

Positioning

4A agencies vs Sinnet Cloud aileo

Both are an annual retainer plus periodic delivery, yet the audience, the core asset and the metrics are entirely different.

aileo compared with traditional 4A agency services
Dimension4A agenciesSinnet Cloud aileo
AudienceTV / online ad inventoryAnswer slots in AI models
Core assetAd creative + media buyingOfficial fact base + knowledge graph + RAG adaptation
MetricsImpressions / CTR / CPMCitation rate / top-recommendation rate / share of voice (SOV)
Engagement modelLong-term advisor + project-basedAnnual retainer + monthly delivery
Eight core service modules

From diagnostics to ongoing operation, covering the full lifecycle

The eight modules combine freely and are tailored to each company's actual needs.

Module 01

Full-scope AI diagnostics

Brand entity recognition, competitor benchmarking, core question-set construction, and a multi-platform performance baseline audit.

  • Brand entity recognition and disambiguation of same-name entities
  • Benchmarking against core competitors and substitute brands
  • Building a set of 50–100 core industry questions
  • Performance baseline audit on up to 5 mainstream platforms
Module 02

Strategy and the semantic map

Search intent mining, topic cluster planning, entity relationship design, and KPI definition.

  • Mining search intent and follow-up query chains
  • Topic cluster and semantic map planning
  • Entity relationship design (brand—product—scenario—qualification)
  • Locking KPIs and breaking down stage goals
Module 03

Content and fact base governance

Structuring the official fact base, rebuilding core pages, rewriting FAQs and white papers.

  • Building the single official source-of-truth fact base
  • Rebuilding the semantic structure and H1–H3 hierarchy of core pages
  • Rewriting FAQs, white papers and product manuals
  • Proofreading key parameters for cross-channel consistency
Module 04

Website technology and architecture

Crawler access, robots governance, Schema / JSON-LD, sitemaps.

  • robots.txt audit and explicit allowance for AI crawlers
  • A full set of Schema.org / JSON-LD markup
  • Sitemaps, llms.txt and semantic HTML
  • Core Web Vitals and above-the-fold performance optimization
Module 05

Authoritative sources and PR

Coordinated work across authoritative media, industry associations, academic institutions and encyclopedias.

  • Placing content with authoritative media and vertical industry outlets
  • Associating with industry associations, standards bodies and academic institutions
  • Consolidating entity presence in encyclopedia entries and knowledge platforms
  • Correcting and offsetting negative and inaccurate information
Module 06

Knowledge assets and RAG

Multi-source knowledge cleansing, chunking, metadata tagging, and RAG interface adaptation.

  • Cleansing and de-duplicating multi-source knowledge
  • Tuning semantic chunking and splitting strategies
  • Metadata tagging and vectorization preparation
  • RAG interface adaptation and retrieval testing
Module 07

Multimodal content adaptation

Image semantic optimization, short-video and podcast scripts, chapter tagging adaptation.

  • Image alt text, structured annotation and semantic naming
  • Short-video scripts, voiceover copy and chapter tagging
  • Transcribing and adapting podcast and audio content
  • For AI video, “content that can be read by AI” comes first
Module 08

Ongoing monitoring and review

Periodic multi-platform sampling, competitor monitoring, error alerts, monthly reviews.

  • Sampling across the four-tier L1–L4 metric system
  • Competitor mention share and dynamic monitoring
  • Error and hallucination alerting
  • Monthly reports + quarterly reviews and strategy iteration
The next product line

One methodology, adapted both to overseas and to domestic AI entry points

Multilingual information architecture, compliance review, and integration with international large models.

Global service pack · Chinese brands going worldwide

Priority coverage: ChatGPT / Perplexity / Google AI Overviews / Claude / Gemini

  • Core actions: Search intent and cultural compliance analysis for target markets
  • Information architecture: Multilingual information architecture and hreflang configuration
  • Authoritative sources: Overseas authoritative source placement and compliance review
  • Monitoring reports: Global large-model monitoring with monthly / quarterly reports
  • Compliance framework: GDPR · EU AI Act · CCPA · FTC
China service pack · overseas brands landing in China

Priority platforms: Doubao / DeepSeek / Kimi / ERNIE Bot / Tongyi Qianwen

  • Core actions: Chinese naming and positioning plus benchmarking against domestic competitors
  • Information architecture: Simplified Chinese website revamp and Schema overhaul
  • Authoritative sources: In-country compliance review and publication
  • Local operations: Operation on domestic AI platforms and authoritative knowledge placement
  • Compliance framework: Data Security Law · Personal Information Protection Law · Interim Measures for the Administration of Generative AI Services
Delivery process

Six stages, each with an acceptance-ready deliverable

A standard six-step delivery process from signing to ongoing operation, fully logged and traceable.

1

Information audit and baseline setup

Brand entity recognition, competitor benchmarking, core question-set construction and a multi-platform performance baseline audit, producing a baseline report.

2

Fact base and semantic map

Structuring the single official source-of-truth fact base and delivering topic cluster planning, entity relationship design and a semantic map, with KPIs locked.

3

Website technology and Schema overhaul

robots and AI crawler access governance, a full set of Schema / JSON-LD markup, sitemaps and core page rebuilding.

4

Knowledge assets and RAG adaptation

Multi-source knowledge cleansing, semantic chunking and metadata tagging, completing RAG interface adaptation and knowledge graph construction.

5

Content production and multi-platform publication

Producing in-depth optimized articles and multimodal content on schedule, publishing to the website and third-party authoritative sources after four-channel human review, with the whole process logged.

6

Ongoing monitoring and periodic review

Weekly, monthly and quarterly sampling plus competitor monitoring against the L1–L4 metric system, producing reports and iterating the next cycle's strategy.

What you get · for signed clients

The aileo website admin console, an asset-accumulation tool for advisory service

Signed clients can sign in to the aileo website admin console and manage optimized content themselves. This is not one-off content outsourcing but brand digital assets that keep accumulating.

01

Dual-logic article generation

Generation in both directions: forward (the brand leads to the service) and reverse (the product leads back to the brand).

02

Four-channel human review

WeCom / Feishu / email / console sign-in — generated content is published only after human review.

03

Source publication management

Source registration and publication management, with one-click publishing to both the website and third-party platforms.

04

Video generation

Open-source video models deployed locally; for AI video, “content that can be read by AI” comes first.

05

Credit usage system

Usage is shown in credits rather than raw tokens, so clients can manage it themselves.

06

Self-service content management

Clients sign in to the console to further manage and iterate optimized content.

Why do we call it asset accumulation?

AI does not forget good content. A single high-quality L2 comparison article may keep being cited by AI for a year, delivering ongoing free exposure. The admin console lets clients view optimized content at any time, manage and iterate it themselves, watch the asset accumulation trend, and make decisions together with the advisory team.

Service FAQ

A few questions about services, delivery and compliance

Why must diagnostics come first?

Every company hits a different bottleneck in AI: some are blocked because crawlers are shut out, some lack authoritative external sources, and some have product data that contradicts itself. Diagnostics take 10–15 working days to establish a baseline and map competitors, then deliver a clear 90-day roadmap — avoiding blind spending on budget that goes nowhere.

What scenarios do the Global pack and the China pack each fit?

The Global pack is for Chinese brands going worldwide and focuses on ChatGPT, Perplexity, Google AI Overviews, Claude and Gemini, with a compliance framework covering GDPR, the EU AI Act, CCPA and FTC. The China pack is for overseas brands landing in China and focuses on Doubao, DeepSeek, Kimi, ERNIE Bot and Tongyi Qianwen, with a compliance framework covering the Data Security Law, the Personal Information Protection Law and the regulations governing generative AI services.

Can signed clients sign in to the admin console?

Yes. Signed clients receive a dedicated account and can view and manage optimized content after signing in. The console provides six core capabilities: dual-logic article generation, four-channel human review, source publication management, video generation, credit usage, and self-service content management.

Start with an AI information audit and see where your brand really stands in AI

In 10–15 working days you get an actionable AI information audit report and a 90-day optimization roadmap.