seo-local

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Local SEO Analysis (March 2026)

本地SEO分析（2026年3月）

Key Statistics

关键统计数据

Metric	Value	Source
GBP signals share of local pack weight	32%	Whitespark 2026
Proximity share of ranking variance	55.2%	Search Atlas ML study
Review signals share (up from 16%)	~20%	Whitespark 2026
Google searches seeking local info	46%	Industry data
Mobile "near me" searches leading to visit in 24h	76%	Google confirmed
ChatGPT/AI usage for local recommendations	45% (up from 6%)	BrightLocal LCRS 2026
ChatGPT local conversion rate	15.9%	Seer Interactive
Google organic local conversion rate	1.76%	Seer Interactive
Local pack ads growth (Jan 2025 to Jan 2026)	1% to 22%	Sterling Sky

指标	数值	来源
GBP信号在本地包权重中的占比	32%	Whitespark 2026
地理位置在排名差异中的占比	55.2%	Search Atlas ML研究
评论信号占比（从16%上升）	~20%	Whitespark 2026
寻求本地信息的Google搜索占比	46%	行业数据
移动端"附近"搜索后24小时内到店的比例	76%	Google官方确认
使用ChatGPT/AI获取本地推荐的比例	45%（从6%上升）	BrightLocal LCRS 2026
ChatGPT本地转化率	15.9%	Seer Interactive
Google自然搜索本地转化率	1.76%	Seer Interactive
本地包广告增长（2025年1月至2026年1月）	1% 升至22%	Sterling Sky

Business Type Detection

企业类型检测

Detect from page signals before analysis. This determines which checks apply.

分析前先从页面信号中检测。这将决定适用哪些检查项。

Brick-and-Mortar

实体门店

Physical street address visible in page content or footer
Google Maps embed with pin/directions
"Visit us at", "Located at", "Come see us"
Structured address in LocalBusiness schema

页面内容或页脚中显示实际街道地址
带有标记/导航的Google Maps嵌入组件
包含"来访地址"、"位于"、"欢迎莅临"等表述
LocalBusiness Schema中包含结构化地址

Service Area Business (SAB)

服务区域型企业（SAB）

No visible physical address
Service area mentions: "serving [city/region]", "service area includes"
"We come to you", "On-site service", "Mobile [service]"
```
areaServed
```
in schema without
```
address.streetAddress
```

无可见实际地址
提及服务区域："服务[城市/地区]"、"服务区域包括"
包含"我们上门服务"、"现场服务"、"移动[服务]"等表述
Schema中包含
```
areaServed
```
但无
```
address.streetAddress
```

Hybrid

混合型

Both physical address AND service area language present
"Visit our showroom" combined with "We also serve [areas]"

Impact on checks: SABs skip embedded map verification and physical address consistency. Brick-and-mortar gets full NAP + map checks.

同时显示实际地址和服务区域相关表述
例如"欢迎莅临我们的展厅"搭配"我们也服务[区域]"

对检查项的影响：SAB无需进行嵌入地图验证和实际地址一致性检查；实体门店需完成完整的NAP+地图检查。

Industry Vertical Detection

行业垂直领域检测

Detect from page signals and GBP category patterns. Routes to industry-specific checks from

references/local-schema-types.md

Vertical	Detection Signals
Restaurant	/menu, menu items, reservations, cuisine types, food ordering, "dine-in", "takeout"
Healthcare	insurance accepted, patients, appointments, NPI, medical terms, "Dr.", HIPAA notice
Legal	attorney, lawyer, practice areas, bar admission, case results, "free consultation"
Home Services	service area, emergency service, "free estimate", licensed/insured/bonded, "24/7"
Real Estate	listings, MLS, properties for sale/rent, agent bio, brokerage, "open house"
Automotive	inventory, VIN, test drive, dealership, service department, "new/used/certified"

If no vertical detected, use generic

LocalBusiness

analysis path.

从页面信号和GBP分类模式中检测。根据

references/local-schema-types.md

调用行业专属检查项。

垂直领域	检测信号
餐饮	/menu路径、菜品、预订、菜系、在线点餐、"堂食"、"外卖"
医疗	接受保险、患者、预约、NPI、医疗术语、"医生"、HIPAA通知
法律	律师、执业领域、律师资格、案件结果、"免费咨询"
家居服务	服务区域、紧急服务、"免费估价"、持证/投保/担保、"24小时服务"
房产	房源列表、MLS、出售/出租房产、经纪人简介、经纪公司、"开放参观"
汽车	库存、VIN、试驾、经销商、服务部门、"新车/二手车/认证车"

若未检测到垂直领域，则使用通用

LocalBusiness

分析路径。

Analysis Dimensions

分析维度

1. GBP Signals (25%)

1. GBP信号（25%）

Primary category is the single most important local pack factor (Whitespark #1, score: 193). Incorrect primary category is the #1 negative factor (score: 176).

Check for:

GBP embed or reference detectable on page (Maps iframe, place ID, reviews widget)
Primary category appropriateness (infer from page content vs visible GBP data)
Evidence of secondary categories (optimal: 4 additional per BrightLocal)
GBP posts presence (no direct ranking impact per WebFX, but triggers Post Justifications)
Photos/video evidence (45% more direction requests with photos, Agency Jet)
Q&A content (deprecated Dec 2025, replaced by Ask Maps Gemini AI -- recommend recreating Q&A content as FAQ sections on website; GBP removed existing Q&A with no export available)
Google Verified badge eligibility (replaced Guaranteed/Screened in Oct 2025)
GBP link URL strategy: do NOT link to strongest website page (Sterling Sky Diversity Update -- risks suppressing organic rankings)
Business hours visibility on page (businesses open at search time rank higher, factor #5)

Scoring guide:

Full: GBP embed present, category signals align, posts active, photos present
Partial: Some GBP signals present but incomplete
Low: No visible GBP integration on website

主分类是本地包排名的单一最重要因素（Whitespark排名第1，得分：193）。错误的主分类是排名第一的负面因素（得分：176）。

检查项：

页面上可检测到GBP嵌入或引用（Maps iframe、地点ID、评论组件）
主分类的适配性（从页面内容推断与可见GBP数据对比）
是否存在二级分类（根据BrightLocal建议，最优为4个额外分类）
是否有GBP帖子内容（WebFX指出无直接排名影响，但会触发帖子验证）
是否有照片/视频内容（Agency Jet数据显示，有照片的企业收到的导航请求增加45%）
Q&A内容（2025年12月已停用，由Ask Maps Gemini AI替代——建议将Q&A内容重新创建为网站上的FAQ板块；GBP已移除现有Q&A且无导出功能）
Google验证徽章资格（2025年10月替代了Guaranteed/Screened标识）
GBP链接URL策略：不要链接到网站最强页面（Sterling Sky多样性更新——可能会抑制自然排名）
页面上显示营业时间（搜索时段营业的企业排名更高，为第5位影响因素）

评分指南：

满分：存在GBP嵌入、分类信号匹配、帖子活跃、有照片内容
部分符合：存在部分GBP信号但不完整
低分：网站上无可见GBP集成

2. Reviews & Reputation (20%)

2. 评论与声誉（20%）

Review velocity matters more than total count. The 18-day rule (Sterling Sky): rankings cliff if no new reviews for 3 weeks.

Check for:

Total Google review count visible on page or schema (magic threshold: 10, Sterling Sky)
Star rating (31% of consumers only use 4.5+, 68% only use 4+, BrightLocal 2026)
Review recency indicators (74% only care about reviews in last 3 months)
```
aggregateRating
```
in schema (ratingValue, reviewCount, bestRating)
Third-party review presence (consumers use average of 6 review sites, BrightLocal 2026)
Owner response patterns (88% would use business that responds, BrightLocal)
Review gating detection: any pre-screening of satisfaction before directing to review platform is prohibited by Google (fake engagement policy) and FTC ($53,088/violation)

Industry-specific:

Healthcare: HIPAA prohibits confirming/denying reviewer is a patient in responses
Legal: attorney-client privilege considerations in review responses

Scoring guide:

Full: 10+ reviews, 4.5+ stars, recent activity, owner responses, multi-platform presence
Partial: Some reviews but gaps in recency, rating, or response rate
Low: <10 reviews, no recent activity, no responses, single platform only

评论更新频率比总数量更重要。18天规则（Sterling Sky）：若3周无新评论，排名会大幅下滑。

检查项：

页面或Schema中显示的Google评论总数（临界阈值：10条，Sterling Sky）
星级评分（BrightLocal 2026数据显示，31%的消费者只选择4.5星以上的商家，68%只选择4星以上）
评论时效性指标（74%的消费者只关心过去3个月内的评论）
Schema中的
```
aggregateRating
```
字段（包含ratingValue、reviewCount、bestRating）
是否存在第三方评论（BrightLocal 2026数据显示，消费者平均参考6个评论网站）
商家回复模式（BrightLocal数据显示，88%的消费者会选择回复评论的商家）
评论筛选检测：任何在引导至评论平台前预先筛选满意度的行为均违反Google虚假互动政策和FTC规定（单次违规罚款53,088美元）

行业专属注意事项：

医疗：HIPAA禁止在回复中确认/否认评论者是否为患者
法律：回复评论时需考虑律师-客户保密特权

评分指南：

满分：10条以上评论、4.5星以上、近期有更新、商家有回复、多平台覆盖
部分符合：有评论但在时效性、评分或回复率上存在不足
低分：少于10条评论、无近期更新、无商家回复、仅单一平台

3. Local On-Page SEO (20%)

3. 本地页面SEO（20%）

Dedicated service pages = #1 local organic factor AND #2 AI visibility factor (Whitespark 2026).

Check for:

Title tag contains city/service keywords
H1 tag with local intent (city + service)
NAP (Name, Address, Phone) visible in page HTML (footer, contact section, header)
Dedicated service pages (one page per core service)
Location page quality for multi-location sites:
- >60-70% unique content minimum (industry consensus, no Google-confirmed threshold)
- Swap test: if you can swap the city name and content still makes sense, it's a doorway page (RicketyRoo method). HVAC company lost 80% rankings + 63% traffic after March 2024 Core Update for this pattern
- Local photos, area-specific testimonials, local FAQs
Embedded Google Map (geographic signal reinforcement, not direct ranking factor -- lazy-load to mitigate speed impact)
Click-to-call button (
```
tel:
```
link) and contact form above the fold
Internal linking architecture: hub-and-spoke, every critical page within 3 clicks of homepage
2-5 contextual internal links per 1,000 words with descriptive anchor text

Multi-location specific:

Store locator with individual crawlable URLs (SSR/SSG preferred over CSR)
Subdirectory structure:
```
domain.com/locations/city-name/
```
(subdirectories consolidate link equity better, Bruce Clay: 50%+ traffic lift)
Each location page has unique LocalBusiness schema with
```
@id
```

Scoring guide:

Full: City in title + H1, NAP visible, dedicated service pages, no doorway patterns, good internal linking
Partial: Some local signals but missing service pages or doorway page risk
Low: Generic title/H1, NAP not visible, thin location pages

专属服务页面是本地自然排名的第1位因素，同时是AI可见性的第2位因素（Whitespark 2026）。

检查项：

标题标签包含城市/服务关键词
H1标签带有本地意图（城市+服务）
页面HTML中可见NAP（名称、地址、电话）（页脚、联系板块、页眉）
拥有专属服务页面（每个核心服务对应一个页面）
多地点网站的落地页质量：
- 至少60-70%的原创内容（行业共识，Google未确认具体阈值）
- 替换测试：若替换城市名称后内容仍合理，则属于 doorway 页面（RicketyRoo方法）。某HVAC公司因该模式在2024年3月核心更新后排名下降80%+，流量减少63%
- 本地照片、区域专属评价、本地FAQ
嵌入Google Map（强化地理信号，非直接排名因素——建议懒加载以减轻速度影响）
首屏可见点击呼叫按钮（
```
tel:
```
链接）和联系表单
内部链接架构：中心辐射式，所有关键页面距首页不超过3次点击
每1000字包含2-5个上下文内部链接，使用描述性锚文本

多地点专属注意事项：

店铺定位器带有可单独抓取的URL（优先选择SSR/SSG而非CSR）
子目录结构：
```
domain.com/locations/city-name/
```
（Bruce Clay数据显示，子目录可更好地整合链接权重，流量提升50%+）
每个落地页都有独立的LocalBusiness Schema并包含唯一
```
@id
```

评分指南：

满分：标题+H1包含城市、可见NAP、有专属服务页面、无doorway页面模式、内部链接良好
部分符合：有部分本地信号但缺少服务页面或存在doorway页面风险
低分：通用标题/H1、NAP不可见、落地页内容单薄

4. NAP Consistency & Citations (15%)

4. NAP一致性与引用（15%）

Citations declining for traditional pack rankings but 3 of top 5 AI visibility factors are citation-related (Whitespark 2026). Google's July 2025 documentation update removed "directories" from prominence definition.

Check for:

NAP extraction: compare Name, Address, Phone from:
1. Visible page HTML (footer, contact page)
2. LocalBusiness JSON-LD schema
3. Any visible GBP data
- Flag any discrepancies between these three sources
Citation presence on Tier 1 directories (check via WebFetch or site: search patterns):
- Google Business Profile signals on page
- Yelp:
```
site:yelp.com "Business Name"
```
- BBB:
```
site:bbb.org "Business Name"
```
- Facebook business page references
Apple Business Connect awareness (usage doubled to 27%, BrightLocal 2026 -- recommend claiming)
Bing Places awareness (powers ChatGPT, Copilot, Alexa -- recommend claiming and optimizing)
Industry-specific directory recommendations: load
```
references/local-schema-types.md
```
for per-vertical citation sources
Data aggregator awareness: Data Axle, Foursquare, Neustar/TransUnion (recommend submission for downstream distribution)

Scoring guide:

Full: Consistent NAP across page/schema, Tier 1 citations detected, industry directories present
Partial: NAP present but inconsistencies, some citations missing
Low: NAP discrepancies, no detectable citations, no schema address

传统本地包排名中引用的重要性有所下降，但AI可见性的前5位因素中有3位与引用相关（Whitespark 2026）。Google 2025年7月的文档更新从“知名度”定义中移除了“目录”一词。

检查项：

NAP提取：对比以下来源的名称、地址、电话：
1. 可见页面HTML（页脚、联系页）
2. LocalBusiness JSON-LD Schema
3. 任何可见GBP数据
- 标记这三个来源之间的任何不一致之处
一级目录中的引用情况（通过WebFetch或site:搜索模式检查）：
- 页面上的Google Business Profile信号
- Yelp：
```
site:yelp.com "企业名称"
```
- BBB：
```
site:bbb.org "企业名称"
```
- Facebook企业页面引用
Apple Business Connect认知度（BrightLocal 2026数据显示，使用率翻倍至27%——建议认领）
Bing Places认知度（为ChatGPT、Copilot、Alexa提供数据——建议认领并优化）
行业专属目录建议：加载
```
references/local-schema-types.md
```
获取各垂直领域的引用来源
数据聚合平台认知度：Data Axle、Foursquare、Neustar/TransUnion（建议提交以进行下游分发）

评分指南：

满分：页面/Schema中的NAP一致、检测到一级目录引用、存在行业专属目录
部分符合：存在NAP但不一致、缺少部分引用
低分：NAP不一致、无检测到的引用、Schema中无地址

5. Local Schema Markup (10%)

5. 本地Schema标记（10%）

Schema is NOT a direct ranking factor (John Mueller confirmed). But enables rich results (43% CTR increase, Webstix case study) and helps AI systems parse business information.

Check for:

LocalBusiness schema presence (extract JSON-LD blocks)
Required properties:
```
name
```
,
```
address
```
with PostalAddress sub-properties
Recommended properties:
```
geo
```
(minimum 5 decimal places, Confirmed),
```
openingHoursSpecification
```
,
```
telephone
```
,
```
url
```
,
```
priceRange
```
(<100 chars),
```
image
```
,
```
aggregateRating
```
Correct subtype for industry -- load
```
references/local-schema-types.md
```
:
- Restaurant using
```
Restaurant
```
  not generic
```
LocalBusiness
```
- Legal using
```
LegalService
```
  not deprecated
```
Attorney
```
- Auto dealer using
```
AutoDealer
```
  not deprecated
```
VehicleListing
```
- Healthcare using
```
MedicalClinic
```
  /
```
Hospital
```
  /
```
Dentist
```
  not generic
```
MedicalBusiness
```
SAB-specific:
```
areaServed
```
with named cities (recommended, not in Google's official list but Schema.org supported)
Multi-location: each location page has own LocalBusiness with unique
```
@id
```
, linked via
```
branchOf
```
to Organization on homepage
Industry-specific schema patterns (per
```
references/local-schema-types.md
```
):
- Restaurant: Menu + MenuSection + MenuItem + ReserveAction
- Healthcare: Physician (Person) + MedicalSpecialty + sameAs to NPI
- Legal: LegalService + Person + Service (practice areas)
- Home Services: Subtype + areaServed + Service
- Real Estate: RealEstateAgent + Person + RealEstateListing
- Automotive: AutoDealer + Car + Offer (separate dept schemas)

Scoring guide:

Full: Correct subtype, all recommended properties, industry-specific patterns, valid JSON-LD
Partial: LocalBusiness present but generic type or missing recommended properties
Low: No local schema, or schema with errors/placeholder content

Schema不是直接排名因素（John Mueller已确认），但可启用富结果（Webstix案例研究显示，点击率提升43%）并帮助AI系统解析企业信息。

检查项：

是否存在LocalBusiness Schema（提取JSON-LD块）
必填属性：
```
name
```
、包含PostalAddress子属性的
```
address
```
推荐属性：
```
geo
```
（至少5位小数，已确认）、
```
openingHoursSpecification
```
、
```
telephone
```
、
```
url
```
、
```
priceRange
```
（少于100字符）、
```
image
```
、
```
aggregateRating
```
正确的行业子类型——加载
```
references/local-schema-types.md
```
：
- 餐饮类使用
```
Restaurant
```
  而非通用
```
LocalBusiness
```
- 法律类使用
```
LegalService
```
  而非已弃用的
```
Attorney
```
- 汽车经销商使用
```
AutoDealer
```
  而非已弃用的
```
VehicleListing
```
- 医疗类使用
```
MedicalClinic
```
  /
```
Hospital
```
  /
```
Dentist
```
  而非通用
```
MedicalBusiness
```
SAB专属：
```
areaServed
```
包含具体城市名称（为推荐项，未在Google官方列表中但受Schema.org支持）
多地点：每个落地页有独立的LocalBusiness Schema并包含唯一
```
@id
```
，通过
```
branchOf
```
与首页的Organization关联
行业专属Schema模式（根据
```
references/local-schema-types.md
```
）：
- 餐饮：Menu + MenuSection + MenuItem + ReserveAction
- 医疗：Physician（Person） + MedicalSpecialty + sameAs关联至NPI
- 法律：LegalService + Person + Service（执业领域）
- 家居服务：子类型 + areaServed + Service
- 房产：RealEstateAgent + Person + RealEstateListing
- 汽车：AutoDealer + Car + Offer（独立部门Schema）

评分指南：

满分：子类型正确、包含所有推荐属性、符合行业专属模式、JSON-LD有效
部分符合：存在LocalBusiness但为通用类型或缺少推荐属性
低分：无本地Schema，或Schema存在错误/占位内容

6. Local Link & Authority Signals (10%)

6. 本地链接与权威信号（10%）

Links declining for local pack but remain ~26% of local organic ranking (Whitespark 2026, #2 factor group). "Best of" list placements = #1 AI visibility citation factor.

Check for:

Local backlink indicators detectable from page:
- Chamber of Commerce mentions or links (high Trust Flow, ~80% more consumer visits, GlueUp)
- BBB accreditation/badge (Google uses BBB for business verification)
- Local news/press mentions
- Community involvement signals (sponsorships, local events, partnerships)
"Best of" list presence (top AI visibility factor per Whitespark 2026)
Digital PR signals: 66.2% of PR practitioners now track AI citations as KPI (BuzzStream 2026)
Brand mentions correlate 3x more strongly with AI visibility than traditional backlinks (Ahrefs: 0.664 vs 0.218 correlation)
Link velocity benchmark: 5-10 quality local links/month for small businesses (consensus)

Scoring guide:

Full: Local authority signals visible (chamber, BBB, press), community involvement evident
Partial: Some authority signals but limited local link indicators
Low: No detectable local authority signals

链接在本地包排名中的重要性下降，但仍占本地自然排名的~26%（Whitespark 2026，第2位因素组）。“最佳榜单”上榜是AI可见性的第1位引用因素。

检查项：

页面上可检测到的本地反向链接指标：
- 商会提及或链接（高信任流，GlueUp数据显示，消费者访问量提升约80%）
- BBB认证/徽章（Google使用BBB进行企业验证）
- 本地新闻/媒体提及
- 社区参与信号（赞助、本地活动、合作伙伴）
是否上榜“最佳榜单”（Whitespark 2026显示为AI可见性顶级因素）
数字PR信号：66.2%的PR从业者现在将AI引用作为KPI（BuzzStream 2026）
品牌提及与AI可见性的相关性是传统反向链接的3倍（Ahrefs数据：相关系数0.664 vs 0.218）
链接速度基准：小型企业每月获取5-10个高质量本地链接（行业共识）

评分指南：

满分：可见本地权威信号（商会、BBB、媒体）、有社区参与证据
部分符合：有部分权威信号但本地链接指标有限
低分：无检测到的本地权威信号

AI Search Impact on Local

AI搜索对本地业务的影响

Do not duplicate seo-geo analysis. Provide local-specific AI context and recommend

/seo geo <url>

for full analysis.

Key local AI facts:

AI Overviews appear on up to 68% of local searches (Whitespark Q2 2025)
ChatGPT converts at 15.9% vs Google organic at 1.76% (Seer Interactive)
3 of top 5 AI visibility factors are citation-related (Whitespark 2026)
ChatGPT does NOT access GBP directly -- sources from Bing index, Yelp, TripAdvisor, BBB, Reddit
Bing Places is critical: powers ChatGPT, Copilot, Alexa
AI-powered local packs (mobile US) show only 1-2 businesses, 32% fewer shown (Sterling Sky)

Recommendation: Run

/seo geo <url>

for comprehensive AI search visibility analysis including citability scoring, llms.txt check, and brand mention audit.

请勿重复seo-geo分析。提供本地专属AI背景信息，并推荐使用

/seo geo <url>

进行完整分析。

本地AI关键事实：

AI概览出现在多达68%的本地搜索结果中（Whitespark 2025年Q2）
ChatGPT转化率为15.9%，而Google自然搜索为1.76%（Seer Interactive）
AI可见性的前5位因素中有3位与引用相关（Whitespark 2026）
ChatGPT不直接访问GBP——数据来源为Bing索引、Yelp、TripAdvisor、BBB、Reddit
Bing Places至关重要：为ChatGPT、Copilot、Alexa提供数据
AI驱动的本地包（美国移动端）仅显示1-2家企业，比之前少32%（Sterling Sky）

建议：运行

/seo geo <url>

以获取全面的AI搜索可见性分析，包括可引用性评分、llms.txt检查和品牌提及审计。

Reference Files

参考文件

Load on-demand as needed:

```
references/local-seo-signals.md
```
: Ranking factors, review benchmarks, citation tiers, GBP feature status, algorithm updates
```
references/local-schema-types.md
```
: LocalBusiness subtypes by industry, schema patterns, citation sources per vertical

按需加载：

```
references/local-seo-signals.md
```
：排名因素、评论基准、引用层级、GBP功能状态、算法更新
```
references/local-schema-types.md
```
：各行业的LocalBusiness子类型、Schema模式、各垂直领域的引用来源

Output

输出

Generate

LOCAL-SEO-ANALYSIS-{domain}.md

with:

Local SEO Score: XX/100 with dimension breakdown table
Business type: Brick-and-mortar / SAB / Hybrid
Industry vertical detected + industry-specific findings
GBP optimization checklist (detected signals vs missing)
Review health snapshot (rating, count, velocity indicators, response patterns)
NAP consistency audit (page vs schema discrepancies, cross-source comparison)
Citation presence check (Tier 1 directory status)
Local schema status (present/missing/malformed + ready-to-use fix)
Location page quality (if multi-location: unique content %, doorway risk, store locator)
Top 10 prioritized actions (Critical > High > Medium > Low)
Limitations disclaimer: What this analysis could NOT assess (geo-grid ranking, Domain Authority, comprehensive backlinks, GBP Insights data, real-time local pack position) and which paid tools can fill those gaps

生成

LOCAL-SEO-ANALYSIS-{domain}.md

文件，包含：

本地SEO评分：XX/100及维度细分表格
企业类型：实体门店/SAB/混合型
检测到的行业垂直领域+行业专属发现
GBP优化检查清单（已检测信号vs缺失项）
评论健康快照（评分、数量、时效性指标、回复模式）
NAP一致性审计（页面与Schema的差异、跨来源对比）
引用存在性检查（一级目录状态）
本地Schema状态（存在/缺失/格式错误+可直接使用的修复方案）
落地页质量（若为多地点：原创内容占比、doorway风险、店铺定位器）
Top 10优先行动项（紧急>高>中>低）
局限性声明：本分析无法评估的内容（地理网格排名、域名权威、全面反向链接、GBP洞察数据、实时本地包排名）以及可填补这些空白的付费工具

Quick Wins

快速优化项

Claim and optimize Apple Business Connect (usage doubled to 27%)
Claim and optimize Bing Places (powers ChatGPT, Copilot, Alexa)
Fix any NAP discrepancies between page, schema, and GBP
Add LocalBusiness schema with correct industry subtype
Add
```
geo
```
coordinates with 5+ decimal precision
Ensure phone number uses
```
tel:
```
link for click-to-call
Add city + service keyword to title tag and H1

认领并优化Apple Business Connect（使用率翻倍至27%）
认领并优化Bing Places（为ChatGPT、Copilot、Alexa提供数据）
修复页面、Schema与GBP之间的任何NAP不一致问题
添加带有正确行业子类型的LocalBusiness Schema
添加至少5位小数精度的
```
geo
```
坐标
确保电话号码使用
```
tel:
```
链接以支持点击呼叫
在标题标签和H1中添加城市+服务关键词

Medium Effort

中等难度优化项

Create dedicated page for each core service (Whitespark: #1 local organic factor)
Build review generation strategy maintaining 18-day minimum cadence
Submit to three data aggregators (Data Axle, Foursquare, Neustar/TransUnion) for downstream distribution
Claim industry-specific directory listings (per vertical recommendations)
Add industry-specific schema patterns (Menu for restaurants, Physician for healthcare, etc.)
Implement hub-and-spoke internal linking for service/location pages

为每个核心服务创建专属页面（Whitespark：本地自然排名第1位因素）
制定评论生成策略，确保至少每18天更新一次
提交至三个数据聚合平台（Data Axle、Foursquare、Neustar/TransUnion）以进行下游分发
认领行业专属目录列表（根据垂直领域建议）
添加行业专属Schema模式（餐饮类添加Menu、医疗类添加Physician等）
为服务/落地页实施中心辐射式内部链接

High Impact

高影响力优化项

Build local digital PR strategy targeting "best of" lists (#1 AI visibility factor)
Develop unique, non-swappable content for each location page (>60% unique)
Establish presence on platforms ChatGPT sources from (Yelp, TripAdvisor, BBB, Reddit)
Pursue Chamber of Commerce and BBB membership (authority + verification signals)
Create community involvement content (sponsorships, local events, partnerships)

制定本地数字PR策略，目标是登上“最佳榜单”（AI可见性第1位因素）
为每个落地页创建独特、不可替换的内容（原创内容占比>60%）
在ChatGPT数据源平台上建立存在感（Yelp、TripAdvisor、BBB、Reddit）
加入商会和BBB会员（权威+验证信号）
创建社区参与内容（赞助、本地活动、合作伙伴）

DataForSEO Integration (Optional)

DataForSEO集成（可选）

If DataForSEO MCP tools are available, use

local_business_data

for live GBP data extraction,

google_local_pack_serp

for real-time local pack positions, and

business_listings

for automated citation auditing across directories.

若有DataForSEO MCP工具，可使用

local_business_data

提取实时GBP数据，使用

google_local_pack_serp

获取实时本地包排名，使用

business_listings

自动审核各目录的引用情况。

Error Handling

错误处理

Scenario	Action
URL unreachable (DNS failure, connection refused)	Report the error clearly. Do not guess site content. Suggest the user verify the URL and try again.
No local signals detected on page	Report that no local business indicators were found. Suggest the user confirm this is a local business and provide the GBP listing URL if available.
NAP not found in page HTML	Check schema and meta tags. If still absent, flag as Critical issue. Recommend adding visible NAP to footer and contact page.
Industry vertical unclear	Present the top two detected verticals with supporting signals. Ask the user to confirm before applying industry-specific recommendations.
Multi-location with 50+ location pages	Apply the quality gates from seo orchestrator: WARNING at 30+ pages (enforce 60%+ unique), HARD STOP at 50+ pages (require user justification before continuing).

场景	操作
URL无法访问（DNS失败、连接拒绝）	清晰报告错误。请勿猜测网站内容。建议用户验证URL后重试。
页面上未检测到本地信号	报告未发现本地企业指标。建议用户确认这是本地企业，并提供GBP列表URL（若有）。
页面HTML中未找到NAP	检查Schema和元标签。若仍未找到，标记为紧急问题。建议在页脚和联系页添加可见NAP。
行业垂直领域不明确	展示检测到的前两位垂直领域及支持信号。在应用行业专属建议前请用户确认。
多地点且落地页数量超过50个	应用seo编排器的质量管控：超过30个页面时发出警告（强制要求原创内容占比>60%），超过50个页面时强制停止（需用户确认后再继续）。