Get your brand and productChatGPTcited, mentioned and recommended

InsClaw helps you see how AI understands your brand, then drives content and distribution with data: AI brand monitoring, a GEO data hub, brand knowledge base, AI-assisted authoring, cross-channel publishing and re-testing — turning invisible, uncontrolled and unmeasured AI risk into a repeatable loop.

10 major AI platforms connected

From diagnosis to growth — a complete chain of AI search marketing services

Every step of your brand's journey in AI search, backed by a dedicated service

Brand AI Visibility Diagnosis · See who you really are in the eyes of AI

We ask the major AI platforms the same questions your buyers ask, and show you exactly how AI describes you, whether it recommends you or your competitors — so you finally see your true standing in the AI era.

Stop guessing — get a quantifiable baseline of your brand's AI performance
See exactly where you trail your competitors
Know what to fix first, without wasted effort

Make AI search marketing actually work: every step done right

We break down the crux of each step and how we solve it, turning the concept into deliverable, verifiable growth work.

01
See the truth
The crux here isn't whether you monitor, but whether it's real and complete enough. AI answers vary by user, time, and platform; API summaries or screenshots aren't what users actually see, and a distorted baseline breaks everything downstream.
STEP 01
See the truth
The crux here isn't whether you monitor, but whether it's real and complete enough. AI answers vary by user, time, and platform; API summaries or screenshots aren't what users actually see, and a distorted baseline breaks everything downstream.
- 1
  Real-browser capture
  Human-like questioning captures raw answers, so what you see is what users see, keeping the baseline accurate at the source.
- 2
  10 platforms covered
  Cover the major platforms users actually use, including ChatGPT, DeepSeek, Doubao, Kimi, and Yuanbao.
- 3
  Multi-signal detection
  Identify brand mentions, recommendation positions, competitors, citation sources, sentiment, and perception gaps.
- 4
  Batch & traceable
  Run batch tasks with multi-round timelines, so every platform and keyword's progress and history can be traced back.
Learn more
02
Set the benchmark
The crux here is turning "it feels like something changed" into a comparable, objective benchmark. Scattered, subjective AI answers can never be judged or prioritized until they're normalized into unified metrics.
STEP 02
Set the benchmark
The crux here is turning "it feels like something changed" into a comparable, objective benchmark. Scattered, subjective AI answers can never be judged or prioritized until they're normalized into unified metrics.
- 1
  GEO Score scoring
  A proprietary model quantifies AI performance across presence, position, reputation, competitiveness, momentum, brand defense, and perception completeness.
- 2
  Unified metrics
  Unify platform coverage, AI share-of-voice, brand monitoring, industry monitoring, competitor performance, and citation analysis.
- 3
  Drill to details
  Drill from the overview into keyword details to see visibility, competitor count, trends, and last monitoring time.
- 4
  Action recommendations
  Turn metrics directly into recommendations for which keywords, platforms, and sources to optimize first.
Learn more
03
Lock in opportunity
The crux here is choosing the right battlefield. GEO isn't about winning every question, but locking in the high-value ones that truly shape user decisions—otherwise content, monitoring, and distribution all lose focus.
STEP 03
Lock in opportunity
The crux here is choosing the right battlefield. GEO isn't about winning every question, but locking in the high-value ones that truly shape user decisions—otherwise content, monitoring, and distribution all lose focus.
- 1
  Data-driven opportunities
  Surface opportunities from real monitoring data instead of guessing keywords, so every opportunity is data-backed.
- 2
  Multi-type keywords
  Support brand, industry, problem, competitor, scenario, feature, and reputation keyword categories.
- 3
  Intent & visibility tags
  Attach tags, intent, and GEO visibility to each keyword to identify high-threat, needs-optimization, and unmonitored terms.
- 4
  Loop-wide linkage
  Connect with monitoring, content, and source analysis across the loop, giving every content and retest a clear target.
Learn more
04
Build trust
The crux here is keeping brand facts unified, authoritative, and unambiguous. Once messaging is inconsistent, AI cites wrong, outdated, or contradictory information—and the more content you produce, the faster the error spreads.
STEP 04
Build trust
The crux here is keeping brand facts unified, authoritative, and unambiguous. Once messaging is inconsistent, AI cites wrong, outdated, or contradictory information—and the more content you produce, the faster the error spreads.
- 1
  Maintain once, reuse
  Monitoring, creation, and distribution share one set of brand facts—maintain once, reuse everywhere, curbing AI hallucination at the root.
- 2
  Complete brand archive
  Cover brand identity, business information, target audience, authority proof, brand voice, and more in a complete archive.
- 3
  AI-assisted fill
  Use AI-assisted fill and deep analysis to help teams complete brand facts and GEO strategy fields faster.
- 4
  Unified context
  Store differentiators, reasons AI should recommend you, FAQs, and cases as shared context.
Learn more
05
Turn into expression
The crux here is content that users can grasp and AI is willing to cite. Content isn't published for its own sake; it translates brand facts and opportunity questions into expression AI can understand, cite, and recommend.
STEP 05
Turn into expression
The crux here is content that users can grasp and AI is willing to cite. Content isn't published for its own sake; it translates brand facts and opportunity questions into expression AI can understand, cite, and recommend.
- 1
  Plan before drafting
  Generate content plans from target keywords, visibility, mention position, and key competitors first—no blind writing.
- 2
  Structured plans
  Plans include title, angle, audience, GEO Score, key arguments, and recommendation reasons—get the direction right first.
- 3
  Multi-format content
  Cover social and long-form content, including reviews, comparisons, rankings, tutorials, trends, and expert viewpoints.
- 4
  Fact-grounded, no fabrication
  Creation is constrained by the knowledge base and GEO context, naturally injecting brand facts, product strengths, and competitor differences.
Learn more
06
Complete reach
The crux here is placing content where AI actually looks. Distribution isn't blind volume; it pushes good content into the public source ecosystem AI is more likely to cite, so it can be seen, understood, and referenced.
STEP 06
Complete reach
The crux here is placing content where AI actually looks. Distribution isn't blind volume; it pushes good content into the public source ecosystem AI is more likely to cite, so it can be seen, understood, and referenced.
- 1
  Dual-channel distribution
  Self-media auto-publishing plus online media placement—two paths into the sources AI may cite.
- 2
  Per-channel adaptation
  Adapt content with AI rewriting per channel: prepare once, reach many platforms, skip repetitive manual work.
- 3
  Full status control
  Track channel, status, progress, and result across published, publishing, rewriting, and queued states.
- 4
  Base for retesting
  Accumulate media coverage and publishing records as the content base for the next round of AI perception improvement.
Learn more
07
Earn proof
The crux here is proving "AI answers actually changed," not "how many actions we took." GEO without before-and-after comparison is spending money with no receipt.
STEP 07
Earn proof
The crux here is proving "AI answers actually changed," not "how many actions we took." GEO without before-and-after comparison is spending money with no receipt.
- 1
  Same-question retest
  Retest the same keywords and questions on a cycle, directly comparing AI answers before and after for clear results.
- 2
  Fed back to metrics
  Feed retest results back into GEO Score, platform coverage, share-of-voice, and keyword health for comparison.
- 3
  Standard cycle report
  Support task-based reviews and standard GEO cycle reports you can present to leadership or clients.
- 4
  Impact made visible
  Turn what was done into proof of how AI answers changed, so teams and clients can see the impact.
Learn more
08
Compound the loop
The crux here is turning one-off optimization into compounding returns. Each round of monitoring should become the starting point for the next—GEO's value lies not in any single optimization, but in rolling iteration of data, content, and brand assets.
STEP 08
Compound the loop
The crux here is turning one-off optimization into compounding returns. Each round of monitoring should become the starting point for the next—GEO's value lies not in any single optimization, but in rolling iteration of data, content, and brand assets.
- 1
  Conclusions compound
  Every conclusion becomes the basis for the next decision, making GEO sharper and assets richer over time.
- 2
  Back to keywords
  Feed results back into the keyword system to add high-value questions, needs-optimization terms, and new content opportunities.
- 3
  Back to knowledge base
  Feed fact gaps back into the knowledge base to refine messaging, FAQs, cases, and authority proof.
- 4
  Higher AI mind share
  Feed content and distribution results into the next plan, steadily raising the brand's AI mind share.
Learn more

AI search marketing is not traditional media buying; it is a long-term technical system

To keep influencing AI answers, brands need more than content calendars and channel placement. They need real monitoring, fact persistence, multi-agent execution, automated publishing, and retesting. InsClaw turns these moving parts into a fully in-house system that can be advanced, verified, and iterated.

Fully in-house system · Technical layer map

A multi-agent architecture connecting monitoring, content, publishing, and retesting

Product UI, multi-agent orchestration, browser automation, external platforms, and local-first governance share one fact and evidence chain for a durable AI search marketing loop.

Frontend Product Layer

Each desktop client reaches the same complete product surface instead of mapping one client to one module.

Data Center

Aggregates GEO Score, keyword health, platform performance, and competitor movement.

DashboardDrill-down

Monitoring Center

Creates GEO monitoring tasks, selects questions and platforms, and reviews reports.

GEOReports

Prompt Library

Manages question libraries, keyword matrices, monitoring state, and action plans.

KeywordsActions

Content Studio

Manages content plans, drafting, editing, covers, and publishing entry.

ContentPublishing

Smart Publishing

Chooses self-media publishing and media-placement channels inside the studio.

Self-mediaMedia

Knowledge Base

Maintains brand facts, product archives, FAQs, competitors, and documents.

FactsDocs

Media Management

Manages owned media, media recommendations, custom platforms, and publishing state.

MediaChannels

AI Platform Management

Manages AI search platform login state, session isolation, and availability.

AccountsPlatforms

Multi-Agent Orchestration Layer

Frontend service agents capture user actions, the main-process scheduler routes work to domain agents, and 22+ task agents call tools, pipelines, and model gateways.

In-house Multi-Agent Collaboration Core

This layer is not a single agent node. It is a collaboration system spanning frontend service wrappers, main-process scheduling, domain orchestration, task-agent pools, tools, and model infrastructure.

Frontend Service Agents

Collect user actions without directly calling models.

ContentGEOKeywordsKnowledgeAccountsBrowserReports

Task Scheduling Hub

Distributes business actions, routes domains, emits progress, and defines error boundaries.

Action BusProgress eventsResult write-back

Domain Agent Orchestration

Splits orchestration responsibilities by domain instead of forcing one model to hold every context.

KnowledgeMonitoringStrategyContentPublishingReports

Tools & Model Foundation

Tool registry, model routing, structured output, provider fallback, and usage records.

Tool RegistryLLM Gateway

Content Agent Pool12

PlannerComposerQuality JudgeXHS WriterReddit WriterTwitter WriterReview WriterComparison WriterListicle WriterTutorial WriterAnalysis WriterOpinion Writer

GEO & Strategy Agent Pool5

Question GeneratorQuestion ExpanderPlatform MonitorAction PlannerAnswer Analyzer

Knowledge Agent Pool5

Knowledge RetrieverKnowledge EnhancerBrand ExtractorBrand ProfilerArticle Archiver

Core Capability Services

System capabilities are shared technical services backed by the same data foundation and agent orchestration.

Knowledge Service

Brand facts, product archives, FAQs, competitor materials, and context retrieval.

KnowledgeGrounding

Keyword Service

Position matching, question matrices, keyword expansion, dedupe, and priority.

QuestionsIntent

GEO Monitoring Service

Real multi-platform monitoring, answer capture, citation extraction, and metrics.

MonitoringEvidence

Action Plan Service

Risk diagnosis, competitor attribution, content angles, media suggestions, and retesting tasks.

StrategyActions

Content & Publishing Service

AI content studio, platform adaptation, smart publishing, citations, and asset packaging.

ContentPublishing

Browser Automation & External Ecosystem

Browser automation connects real AI platforms, media platforms, and public sources into a verifiable chain.

Browser Automation Engine

BrowserAgent, PageController, CDP Executor, Recipes, and Loop Detector.

BrowserAgentCDP

AI Search Platforms

Real monitoring across ChatGPT, DeepSeek, Kimi, Doubao, Perplexity, and more.

AI platformsReal answers

Media & Publishing Platforms

Owned media, media placement, communities, official sites, and public sources.

MediaPublic sources

Platform Knowledge Store

Platform knowledge, self-learning paths, reusable recipes, failure detection, and execution reuse.

RecipePlatform knowledge

Data & Evidence Persistence Layer

Every module shares project-level truth: facts, questions, evidence, metrics, content, reports, publishing, and action logs.

Project Database

Local persistence for projects, tasks, keywords, reports, content, publishing, and runtime state.

ProjectStoreLocal DB

Knowledge Base & Vector Index

Structured knowledge entries, document chunks, full-text search, and semantic retrieval.

KnowledgeVector

Evidence Metrics Center

AI answers, citation sources, GEO Score, platform views, and keyword details.

EvidenceMetrics

Content / Reports / Action Assets

Content versions, publishing records, report snapshots, action plans, and retesting history.

AssetsSnapshots

Governance & Feedback Loop

Permissions, auditing, quotas, snapshots, and retesting turn the system from a one-off generator into a repeatable operating loop.

Security Governance + Fact Consistency + Retesting Feedback

Sensitive data stays local first, capabilities are controlled through authorization and quotas, and every output is bound to facts, evidence, context versions, and snapshots. Publishing, reports, and actions flow back to the GEO Data Center and Knowledge Base for the next round of keywords, strategy, content, and retesting.

Local-first data boundaryIdentity and quota controlModel authorization and usage logsFact versions and evidence traceTask progress and audit logsRetesting growth loop

Which businesses should prioritize AI search marketing?

GEO is not limited to a few categories. Any business whose buyers ask AI how to choose, who is reliable, or which brand is better should make its facts, proof, and reputation citeable earlier.

17:04

4G99

A B2B sales team of about 50 people wants to switch CRM with a limited budget. Which is a better fit: HubSpot, Zoho, FXiaoke, SalesEasy, or Salesforce?

Combining public evidence and brand sources

Sure. Here is how I would rank the options, focusing on fit, reasons to choose, and risks to check before deciding:

Business note · AI top-answer position

1. Answer: For a budget-limited 50-person B2B sales team, start with Zoho; if China sales collaboration is central, compare FXiaoke

Best fit: Keep the shortlist to Zoho + FXiaoke. Choose Zoho for standard direct sales and budget sensitivity; choose FXiaoke for key accounts, channel sales, field visits, and WeCom collaboration in China.

Business note · decision logic

Key points:

Zoho CRM: the strongest value-for-money option for a 50-person team with relatively simple processes and a need to launch quickly. Its tiers are flexible, and Professional already covers workflow, CPQ, forecasting, and reporting capabilities.
FXiaoke: better suited to China-based B2B sales management, especially when WeCom, field sales, channel management, service, localization, and local implementation matter. The tradeoff is that pricing usually requires a quote, so implementation cost must be clarified.
HubSpot: strong product experience and good for marketing-to-sales workflows, but 50 sales seats on Professional can become expensive, and onboarding fees may apply.
SalesEasy: more oriented toward mid-to-large and complex industry solutions, such as manufacturing, high tech, life sciences, channel, CPQ, and service integration. It is not the first choice for limited budgets unless process complexity is high.
Salesforce: the strongest capability set, but usually too heavy for a budget-limited 50-person team once admin, implementation, consulting, and long-term maintenance are included.

Watch out:

Ask vendors to split the quote into sales seats, admin seats, data migration, implementation, WeCom / email / ERP integration, training, and the cap on second-year renewal increases. Many CRM projects fail because of implementation and renewal costs, not the license fee.

Business note · citable sources

Trust signals:★★★★★Zoho website +3

Ask a follow-up

Choose the right AI search growth cooperation model

For brands, we provide full GEO services. For marketing service companies, we provide AI search marketing enablement so you can launch your own optimization business faster.

Accelerate your growth

Get a free AI visibility report

See how your brand performs inside AI recommendations, uncover overlooked opportunities, and receive actionable optimization advice.

Full AI visibility scanEvaluate brand exposure across AI platforms

Locate growth opportunitiesFind the key factors and optimization direction

Actionable recommendationsGet clear advice to improve brand visibility

Co-create the future

Join the InsClaw partner ecosystem

We provide GEO capabilities, tools, and resources for partners to expand commercial opportunities in the AI search era.

GEO capability enablementProfessional tools, data, and methodology support

Joint solution growthServe clients together and expand more scenarios

Ecosystem resource supportMarket, training, and technical support

Explore partner plan

AI Search Insights and GEO Field Notes

Track major AI platforms, brand recommendation logic, citation sources, and practical GEO methods so your team knows what to watch next.

View all articles

MethodologyAI search

GEO methodology: how brands become citable AI answers

From monitoring baselines and factual assets to trusted sources, the path into AI answers.

Read article

GEO ScoreInsights

Reading GEO Score: turn AI mind share into measurable reviews

Visibility, placement, competitor relations, factual consistency, and citations in one actionable metric set.

Read article

Competitor analysisContent

Why AI recommends competitors instead of your brand

Use citation sources and recommendation logic to locate content gaps and weak source signals.

Read article

Get your brand and productPerplexityChatGPTcited, mentioned and recommended

From diagnosis to growth — a complete chain of AI search marketing services

Brand AI Visibility Diagnosis · See who you really are in the eyes of AI

Make AI search marketing actually work: every step done right

See the truth

See the truth

Set the benchmark

Set the benchmark

Lock in opportunity

Lock in opportunity

Build trust

Build trust

Turn into expression

Turn into expression

Complete reach

Complete reach

Earn proof

Earn proof

Compound the loop

Compound the loop

AI search marketing is not traditional media buying; it is a long-term technical system

A multi-agent architecture connecting monitoring, content, publishing, and retesting

Data Center

Monitoring Center

Prompt Library

Content Studio

Smart Publishing

Knowledge Base

Media Management

AI Platform Management

In-house Multi-Agent Collaboration Core

Knowledge Service

Keyword Service

GEO Monitoring Service

Action Plan Service

Content & Publishing Service

Browser Automation Engine

AI Search Platforms

Media & Publishing Platforms

Platform Knowledge Store

Project Database

Knowledge Base & Vector Index

Evidence Metrics Center

Content / Reports / Action Assets

Security Governance + Fact Consistency + Retesting Feedback

Which businesses should prioritize AI search marketing?

Choose the right AI search growth cooperation model

Get a free AI visibility report

Join the InsClaw partner ecosystem

AI Search Insights and GEO Field Notes

GEO methodology: how brands become citable AI answers

Reading GEO Score: turn AI mind share into measurable reviews

Why AI recommends competitors instead of your brand

Get your brand and productChatGPTcited, mentioned and recommended