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AI-assisted SEO workspace
AI SEO assistant27-step workflowTrend-first topics

Plan SEO work.
Discover the right topic.
Review every action.

Start with a website and goal. zseo.ai discovers a defensible topic, builds the evidence, drafts and repairs the article, then keeps every approval and output reviewable.

Create account
Strategy readinessEvidence saved
85
Ready to draft
Site mapped Topic unique
Priority opportunities
23

High-impact actions found

+8 this week
Active workflow
Website intelligenceComplete05
Topic and strategyComplete15
Draft and qualityRunning16
AI SEO assistant
Find a trend-backed, non-duplicate topic for zseo.ai and prepare a source-grounded article for review.
Running one auditable content workflow
Strategy gate27 stepsStart Content Studio run

One workspace for your entire SEO operation

The problem

SEO work is
scattered.
Decisions are slow.

01

Too many disconnected tools

Data and decisions live in separate tabs.

02

No clear next action

Reports show issues but rarely explain priority.

03

Work stops when you leave

Browser-only jobs disappear with the session.

04

Automation feels unsafe

Black-box agents act without cost or permission controls.

zseo.ai gives every SEO capability one shared intelligence layer, one run system, and one place to understand what matters next.
27Auditable workflow steps
3Topic evidence channels
2Human decision gates
1Durable article run
Content Studio

Stop stitching
content steps together.
Ask for the outcome.

The workflow combines website intelligence, topic evidence, research, drafting, validation, approval, and delivery while preserving the source and decision trail.

  • Shows its plan before work begins
  • Uses saved website and article history
  • Connects every claim to evidence
  • Keeps a complete action history
Open Content Studio
Content Studio / new runLive

Discover a trend-backed topic that fits this website, avoids prior articles, and can support a rich evidence-led draft.

Proposed work plan27 auditable steps
01
Crawl and map the websiteServer
Saved
02
Discover a non-duplicate topicTrends > GSC > radar
Evidence
03
Research and plan the articleSERP + sources
Reviewable
04
Draft, validate, and repairAI + deterministic
Gated
Next actionConfirm website and goal
Start workflow
How it works

Five steps.
Zero tool-hunting.

You stay in control. The assistant handles coordination and repetitive checks.

Step 01

Set context

Choose a website profile, goal, market, language, and optional topic.

Step 02

Discover

Use trends first, then Search Console and internet radar when needed.

Step 03

Research

Build SERP evidence, strategy, sources, a brief, links, and an outline.

Step 04

Draft & repair

Write the article, validate it, and repair specific quality failures.

Step 05

Approve & learn

Review the package, deliver it safely, and preserve performance feedback.

Production workflow

Twenty-seven steps.
One evidence trail.

Open the workflow
2 steps

Setup & safety

Website context, ownership, URL safety, and run readiness.

3 steps

Site intelligence

Secure crawling, content inventory, and performance context.

3 steps

Topic discovery

Trend-first discovery, prioritization, and duplicate-safe selection.

7 steps

Research & planning

SERP evidence, strategy, research, risk, brief, links, and outline.

4 steps

Draft & quality

Drafting, deterministic validation, targeted repair, and editorial review.

3 steps

Approval & assets

Human approval, final metadata, and image asset preparation.

3 steps

Publishing

Publish preflight, controlled delivery, and live-page validation.

2 steps

Feedback & learning

Performance feedback and website-scoped learning for future runs.

Hybrid run model

Review in your browser.
Powerful on our servers.

The browser keeps decisions, previews, and progress clear. Durable server workflows save each step so the article does not depend on an open tab.

Interactive

Review workspace

Inspect evidence, compare outputs, approve strategy, review the article, and recover specific operations without losing context.

EvidenceApprovalsDraft previewRun logs
Persistent

Server workflows

Saved, resumable work for crawling, research, AI generation, deterministic validation, repairs, and delivery preparation.

Article production59%
Step 16 of 27 / draft in progress
Responsible

Safe crawling

Domain-level limits, crawl budgets, robots.txt compliance, backoff, and transparent user-agent identification.

  • Respect access rules
  • Pause on blocks
  • Control every crawl
Who it is for

Every team that
needs to grow.

Growing businesses

Know what to fix next without building an internal SEO team.

SEO professionals

Move from repetitive checks to evidence-backed strategy.

Digital agencies

Manage every client site from one shared workspace.

Product teams

Give developers clear, prioritized, reproducible SEO tasks.

Integrations

Connected evidence.
Controlled delivery.

Connect only the providers the workflow currently supports. Admin routing, optional fallbacks, and signed delivery remain explicit.

[ GSC ]Search ConsoleOAuth + sync
[ GT ]Google TrendsDiscovery
[ SERP ]SERP evidenceKey-based
[ AI ]AI model routingAdmin controlled
[ IMG ]Image generationOptional
[ WH ]Signed webhookTest before use
[ CSV ]Run history exportBuilt in
[ LOG ]Saved run activityBuilt in
Get started

Start with your
most important site.

Content workspaceAvailable now

Website intelligence + article production

Create a website profile, preserve prior article memory, and run the full topic-to-delivery workflow from one durable workspace.

Secure website crawl and inventory Trend-first, duplicate-safe topic selection Persistent workspace history Validation, repair, and human approval
Plan content
FAQ

Questions worth
asking first.

What does zSEO run today?

The production workflow runs 27 auditable steps from website setup and secure crawling through topic discovery, research, drafting, validation, approval, publishing preparation, performance feedback, and learning.

Can every capability run as a standalone tool?

Not currently. The capability map explains what the production workflow uses, but execution stays inside Content Studio so each action receives the required website evidence, permissions, duplicate checks, and quality gates.

Will a started content run survive closing the browser?

Yes. Run state, step output, blockers, and activity are saved on the server. You can return to the run page to inspect progress, recover a failed operation, or continue a human approval.

How does zseo.ai avoid aggressive crawling?

Crawls use domain-level concurrency limits, robots.txt rules, crawl budgets, backoff on 429/503 responses, and immediate pauses on access blocks or CAPTCHA challenges.

Can agencies manage multiple client sites?

Yes. Each website has its own profile, content history, integrations, duplicate-topic memory, runs, and role-based workspace access so client context stays separate.

Your SEO backlog
is waiting.
Ask zseo.ai.

One website. One evidence trail. One reviewable article workflow.

Start Content Studio runSee how it works
Transparent plans Controlled runs Evidence-backed actions