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AI Search Optimization
ChatGPT VisibilityPerplexity CitationsAI Overviews

AI 搜尋優化代理商

讓 ChatGPT、Perplexity 和 AI 概覽找到您

3x
AI Citation Rate
Avg. increase in 90 days
40+
LLM Signals Optimized
Per engagement
95+
Lighthouse Score
Performance baseline
24hr
Audit Turnaround
Free visibility report
What Is AI Search Optimization?

AI search optimization means structuring your website content, metadata, and entity signals so that large language models — ChatGPT, Perplexity, Google Gemini, and others — cite, reference, or recommend your brand when generating answers. Traditional SEO chases blue-link rankings. AI search optimization is different. Instead of fighting for position ten on a results page, you're becoming the source these models reach for when someone asks a question conversationally. That's a fundamentally different game.

專案失敗的原因

Your brand never appears in ChatGPT or Perplexity answers Competitors are capturing conversational traffic you won't even see in your analytics.
Google AI Overviews summarize competitor content instead of yours Organic click-through rates drop 30-60% as AI answers replace the blue links people used to click.
No structured data or entity markup on your site LLMs can't parse your expertise, so they default to sources with clearer signals — your competitors.
Content written for keywords doesn't work here AI models skip verbose, keyword-stuffed pages and pull from concise, authoritative sources instead.
You have no way to track AI search visibility You're flying blind while competitors quietly invest in LLM-specific strategies.
Your site architecture blocks AI crawlers Models like GPTBot and PerplexityBot can't read your content at all — which means you don't exist to them.

合規

Entity Authority Building

We establish your brand as a recognized entity across knowledge graphs, Wikidata, and structured data sources. LLMs prioritize entities they can verify across multiple authoritative references. If you're not in those sources, you're essentially unverifiable.

Schema & JSON-LD Engineering

Every page gets precision-crafted structured data — Organization, FAQPage, HowTo, Article, and custom schemas where needed. This gives AI models machine-readable context about what your content actually says, not just what it looks like.

LLM Crawl Access Configuration

We configure robots.txt, sitemap structures, and server headers so GPTBot, PerplexityBot, and other AI crawlers can access your content. Blocked crawlers mean zero AI visibility. Full stop.

Citation-Ready Content Architecture

Content gets restructured into concise, factual, quotable blocks — the format LLMs prefer to cite. We match the answer format to what each AI platform actually responds to.

AI Visibility Monitoring

Custom dashboards track when and how often your brand appears in ChatGPT, Perplexity, Google AI Overviews, and other AI answer engines. Real data, not guesswork.

Semantic Topical Authority

We map your content against the topical clusters AI models associate with your industry. Gaps get filled with authoritative, interlinked content that covers the questions these models are already answering for someone else.

我們構建的內容

ChatGPT Brand Mentions Audit

We test hundreds of prompts relevant to your industry and document exactly when ChatGPT mentions you, your competitors, or nobody at all.

Perplexity Citation Engineering

Perplexity cites its sources directly. We structure your pages to be the ones it links to.

AI Overviews Optimization

We reverse-engineer which content formats and signals trigger Google AI Overview citations for your target queries — then we build to match those patterns.

Knowledge Graph Integration

Your brand gets connected to Google's Knowledge Graph and the open data sources LLMs use for entity verification. It's the difference between being a name on a page and being a recognized entity.

Answer-Engine Content Briefs

Every piece of content we plan is designed to be quoted by AI, with specific format targets for each platform. Not generic content — content built for citation.

Competitive AI Visibility Analysis

We benchmark your AI search presence against direct competitors across all major LLM platforms so you know exactly where you stand.

我們的流程

01

AI Visibility Audit

We run your brand through hundreds of conversational queries across ChatGPT, Perplexity, Gemini, and Google AI Overviews. You get a clear picture of where you appear — and where competitors show up instead of you.
Week 1
02

Technical Foundation

We implement structured data, fix crawl access for AI bots, optimize site architecture, and establish entity signals. This is the infrastructure AI models need before they'll trust and cite your content.
Weeks 2-3
03

Content Restructuring

Existing content gets rewritten into citation-ready formats. New content fills the topical gaps AI models associate with your industry — the questions being asked daily that you're currently invisible for.
Weeks 3-5
04

Entity & Authority Amplification

We build external entity signals — structured mentions, knowledge graph connections, and authoritative backlinks from sources LLMs already trust and pull from.
Weeks 5-8
05

Monitor & Iterate

AI visibility gets tracked continuously. We test new prompts, monitor competitor changes, and adjust strategy as LLM algorithms evolve. Monthly reports with data you can actually act on — not a slide deck full of impressions.
Ongoing
Next.jsStructured Data / JSON-LDSchema.orgVercelEdge FunctionsLLM Testing Tools

常見問題

AI 搜尋優化與傳統 SEO 有何不同?

傳統 SEO 通過關鍵字、反向連結和頁面權威來針對藍色連結排名。AI 搜尋優化針對的是語言模型在生成答案中引用的來源。信號重疊——結構化資料、權威、內容品質——但格式、衡量和策略截然不同。您需要兩者,但 AI 搜尋需要自己的遊戲計畫。以相同方式對待它們是您最終在兩者中都不可見的方式。

您能保證我的品牌出現在 ChatGPT 答案中嗎?

沒有人能保證特定的 LLM 輸出。這些模型是概率性的且不斷更新——任何承諾確切結果的人都在向您推銷東西。我們保證的是實施所有已知信號,以增加被引用的可能性。我們的客戶通常在 60-90 天內看到 AI 提及的可衡量增加,我們使用真實提示測試來追蹤這些結果,而不是承諾。

您如何追蹤 ChatGPT 和 Perplexity 中的可見性?

我們每週在每個平台上針對數百個行業相關查詢進行自動提示測試。結果被記錄、加上時間戳並與之前的時期進行比較。您會獲得一個儀表板,顯示引用頻率、競爭對手比較以及引用了哪些特定內容。這是真正的衡量——不是估計,不是虛榮指標。

我的網站是否需要為 AI 搜尋優化而重建?

通常不需要。結構化資料、內容重組、爬蟲訪問和實體信號都可以分層到您現有的網站上。如果您運行的是 Next.js 或無頭 CMS 等現代堆棧,實施速度會更快。我們在審計期間評估您的架構,並建議最不具破壞性的前進路徑。

什麼是 Google AI 概覽,它如何影響我的流量?

Google AI 概覽是在許多查詢的傳統搜尋結果上方顯示的 AI 生成答案框。它們從多個來源提取,並且通常在不點擊的情況下滿足用戶意圖——這意味著用戶獲得答案並離開。研究表明它們可以將有機點擊率降低 30-60%。在這些概覽內被引用不再是錦上添花。隨著這成為默認體驗,它成為維護搜尋流量的真正因素。

AI 搜尋優化需要多長時間才能看到結果?

技術變更——結構化資料、爬蟲訪問——在 AI 機器人重新爬蟲您的網站後的幾天到幾週內生效。內容和實體權威改進通常在 60-90 天內顯示可衡量的引用增加。但這不是一次性項目。LLM 演算法經常更新,持續監控是防止您的可見性在您專注於其他事情時悄悄下滑的方式。

AI Search Optimization from $8,000
Fixed-fee engagement. 30-day post-launch support included.
See all packages →
Next.js DevelopmentCore Web Vitals OptimizationCore Web Vitals Complete Guide 2026

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