SmartBlogger
SEO • GEO (AI discoverability) • Privacy analytics

Feature details

SmartBlogger is built for competitive SEO and GEO: we model the SERP before writing, generate with template-driven drafting, validate deterministically, publish on your domain, and run lifecycle loops (internal linking + refresh) while keeping crawler visibility.

SERP intelligenceTemplates + amplifiersDeterministic validationCrawl + bot trackingCookieless analyticsContent + image editingResearch → topic clusters

1) Competitive SEO pipeline (SERP → draft → publish)

A real pipeline: we model intent + saturation before drafting, generate structured blocks, validate with deterministic contracts, and selectively regenerate only what failed.

SEO generation pipelineSERP intelligence drives composition selection. The model outputs structured blocks, validation enforces contracts, and a lifecycle loop (internal links + rotation) compounds performance.SERP modelingRealtimeintent • formatssaturation • gapsCompositiontemplate + variantamplifier + levelStructured draftdeterministicStatic HTMLValidationcontract checkspinpoint failing blockLivepublish
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SERP modeling -> Composition (template+variant + amplifier) -> Structured blocks -> Validation -> Publish (Live)
                                ^                                  |
                                |                                  |
                                +------ selective regen (one block) +

After publish: internal links -> rotation refresh -> compounding improvements

2) GEO / AI discoverability (crawlable + attributable + consistent)

GEO isn’t magic prompts. It’s making pages easy to crawl, easy to parse, and easy to attribute. We allow crawlers and surface verified bot activity in analytics.

GEO and crawler visibilityRequests pass through CDN, are classified (bot vs human), and become visible as crawler activity and referrer buckets.Crawlers + AI agentsallowedGooglebot • BingbotAI agents / answer botsno blanket blockingCDN + Edgefast global deliveryimmutable assetsstable URLsClassificationverified botsreferrer bucketsUA/device groupsDashboard visibilitycrawler activityattribution signalscrawl healthGEO checklist:crawlable pages • stable structure • clear headings • schema/meta • bot visibility • attribution-ready content
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Crawlers + AI agents (allowed) -> CDN/Edge -> Classification (verified bots + referrers) -> Dashboard visibility

GEO win = crawlable + attributable + consistently structured pages.

3) Built-in GDPR-friendly analytics (no cookies, no client JS)

Every request is tracked server-side with privacy-first design. You get referrers, countries, devices, and crawler intelligence without third-party scripts.

Cookieless analytics data flowEdge capture logs events, enriches signals, rolls up daily aggregates, and serves fast dashboard queries.Page hitGDPR Friendlyno client scriptsno cookiesno trackersEdge capturereferrer • device • UTMsbot detectionprivacy-safe id (rotates)Enrichmentgeo (country/ASN)verified bot checksclassification bucketsRollups + APIdaily aggregatesfast dashboard queriesretention cleanupPrivacy model:cookieless • server-side • anonymous identifiers (rotate daily) • bot visibility • no third-party scripts
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Page hit -> Edge capture -> Enrichment (geo + verified bots) -> Daily rollups -> Dashboard API

Privacy: cookieless, server-side, rotating anonymous ids, no third-party scripts.

4) Full content + image editing (zero credits)

Edit text sections and manage images per-slot (cover + inline). Changes rebake immediately to a new immutable revision — no LLM calls.

Content and image editingEditing updates draft sections and image slots; the system rebakes and publishes a new immutable revision.Live revisionHTML + artifacts.jsonimages per slotimmutable snapshotEditorfreeedit sectionsupload/replace/remove imagesinstant preview + publishMechanical rebakemerge artifactsre-render HTMLpublish new revisionLiveupdatednowImage slots: cover • inline_0 • inline_1 • inline_2 — uploads are content-hashed and stored immutably
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Live revision -> Editor (sections + images) -> Mechanical rebake -> New revision -> Live

Slots: cover, inline_0..2. Upload/replace/remove per slot. No credits.

5) Research → topic clusters → batch generation

Topic discovery is not a keyword list. We pull SERP + Trends signals, compress them into usable summaries, then build hierarchical clusters you can generate from.

Research and topic clusteringDiscover keywords, analyze SERP and Trends, summarize signals, cluster topics, and enqueue generation.Discoverseed keywordcategory browsingtrending ideasAnalyzeSERP top resultsTrends signalsregional interestSummarizesignal compressionLLM-ready contextcheap tokensTopic clusterspillars + ideasintent + difficultybatch configGoenqueuepostsCost fairness:research queries only charge when data is returned • batch generates per-post (partial success allowed)
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Discover -> Analyze (SERP+Trends) -> Summarize -> Topic clusters (pillars+ideas) -> Batch generation

Fairness: no-data queries don’t charge; batch runs per-post so partial completion is possible.

What this means in practice

SEO: write what ranks
SERP modeling predicts the intent + formats that Google rewards. Templates enforce the structure that matches those expectations.
GEO: write what gets cited
Stable sections, clear headings, and crawler visibility make your content easier for AI systems to extract and attribute.
Quality: fix one section, not everything
Deterministic validation pinpoints exactly what failed. Selective regeneration repairs the failing block without rewriting the post.
Operations: tune costs with confidence
Credits map to external work (LLM, images, crawl, embeddings) so you can tune throughput vs cost without surprises.
Analytics: privacy-first by default
Cookieless server-side tracking gives you referrers, countries, devices, and bot intelligence without third-party scripts.
Editing: complete control after publish
Edit content sections and manage images per slot. Every change creates a new immutable revision (no credits, no LLM).
Research: clusters, not keyword lists
Research combines SERP + Trends signals into structured topic clusters with intent and difficulty hints you can generate from.
Transparency boundary
We explain the stages and the types of signals used, but we don’t publish proprietary weights, thresholds, or prompt internals that would make the pipeline easy to replicate.
Read the docsBack to pricing

Legend

The diagrams use consistent semantics so they’re easier to parse quickly.

SERP / edge signalsComposition / reasoningValidation gatesPublished / durable outputsNeutral system components