User Manual: How to Use blogworkflow.ai
A practical guide to the 8-step SEO article workflow, including what every field means, example answers, and how each input changes generated output.
Product logic background
blogworkflow.ai is a full web app for structured SEO article generation, not a simple shell. It keeps topic setup, brand context, SEO research, evidence, outline, drafting, QA, and visuals connected in one production workflow.
The product reduces blank-prompt friction by turning business context into structured inputs before generation starts. Users can fill only the core fields first, then add optional detail when the article needs more precision.
Fast-start path
The fastest practical path is not to complete every field. Start with enough context to generate a coherent article, then use the first output to decide which optional settings deserve more detail.
- Fill Step 1 with a title, focus area, and target pain point.
- Add a brand name and target audience in Step 2.
- Keep the default draft lane unless the article needs higher-stakes polish.
- Set target word count, then generate. Optional sections can be refined later.
Recommended generation routine
For normal production, do not try to fill every field on the first pass. Build a minimum viable brief, generate once, then use the result to decide which optional fields need refinement.
- First pass: Step 1 topic, Step 2 brand/audience, Step 6 draft lane and word count.
- Second pass: add SEO research, proof, outline, and QA rules when the article needs ranking precision.
- Final pass: review generated output, SEO pack, link warnings, and visual recommendations before publishing.
Saving, reviewing, and handoff
Treat generated output as a production artifact, not a chat response. The workflow stores context, settings, and outputs so a team can inspect what drove the draft.
- Save before generating if you changed important context or prompt rules.
- Use warnings as review signals. A warning about missing links or sources does not automatically mean generation failed.
- For team handoff, keep fields specific enough that another editor can understand why the article was generated that way.
Topic & Query
Turn a blank prompt into a usable content brief: what the article is about, who it helps, what problem it solves, and what action it should support.
Use this first. These inputs drive the main article direction more than any later refinement field.
How to operate this step
- Treat this step as the editorial brief. A specific title, focus area, and reader pain point usually matter more than adding many keywords.
- If the article is a revision, use uploaded-article fields to preserve source material instead of pasting rewrite instructions into unrelated fields.
- Use angle and CTA only when the default direction is too generic or the article has a clear commercial destination.
Optional logic
OptionalUploaded article fields, keywords, angle, CTA, custom CTA, and enhancement toggles are optional. They improve intent precision and conversion fit, but a clean topic brief can still generate a usable article.
Quality standard
A strong Step 1 should make the reader, topic, pain point, and desired action obvious to an editor who has not seen the business before.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Start mode
- Logic
- Choose whether the workflow creates a fresh article from a brief or revises an uploaded draft.
- Example answer
- Create from brief
- Effect on output
- Controls whether the model builds from your inputs or treats pasted content as source material to revise.
Title
- Logic
- Give the article a clear working title. It can be changed by SEO research later, but it sets the first direction.
- Example answer
- How AI SEO Workflows Help Small Teams Publish Better Blog Posts
- Effect on output
- Shapes the H1, opening angle, metadata fallback, and visual research topic.
Focus area
- Logic
- Select the business area the article supports, or write a custom focus area.
- Example answer
- Content operations
- Effect on output
- Helps the draft choose relevant examples, benefits, and conversion framing.
Target pain point
- Logic
- Describe the reader problem the article should solve.
- Example answer
- The team can generate drafts, but every article still needs too much manual cleanup before publishing.
- Effect on output
- Anchors the intro, problem framing, direct answer, and conclusion.
Uploaded article fields
Optional- Logic
- When revising an article, provide source language, translation preference, revision notes, source text, file name, and format.
- Example answer
- Keep the original case study, remove filler, translate from Chinese to English, and rebuild weak sections.
- Effect on output
- Changes the workflow from new drafting to revision while preserving the source article's useful material.
Keywords
Optional- Logic
- Add known target terms if you already have them. AI research can expand or refine them later.
- Example answer
- AI SEO workflow, content production system, blog workflow software
- Effect on output
- Improves keyword coverage, headings, and SEO tracking output.
Angle
Optional- Logic
- Define the editorial angle when the title alone is too broad.
- Example answer
- Focus on repeatable process quality, not generic faster AI writing.
- Effect on output
- Pushes the article away from generic summaries and toward a sharper point of view.
Call to action
Optional- Logic
- Choose what the reader should do after the article.
- Example answer
- Start a workflow session
- Effect on output
- Shapes the closing section and internal conversion language.
Custom call to action
Optional- Logic
- Use this when preset CTAs do not match your offer.
- Example answer
- Open the editor and generate your first structured article brief.
- Effect on output
- Makes the CTA more specific to your product or campaign.
Enhancement toggles
Optional- Logic
- Choose whether to encourage case studies, statistics, or comparison sections.
- Example answer
- Include statistics and comparison
- Effect on output
- Adds stronger proof and structure requests to the generation prompt.
Brand & Language
Give the workflow enough company, audience, tone, and linking context to keep the article on-brand.
Use basic brand name and audience for every article. Fill optional language and authority details when output needs tighter brand control.
How to operate this step
- Use brand name and target audience as the minimum viable brand context.
- Use Language system when tone, locale, market, formality, or readability must stay consistent across many articles.
- Use Authority when author metadata, reviewer context, and allowed internal links matter for trust, compliance, or SEO structure.
Optional logic
OptionalLanguage system is safe to skip because defaults cover locale, market, tone, tone ratio, and readability. Authority is safe to skip because author falls back to Editorial team, and empty internal links tell the writer not to invent internal URLs. Empty internal links may still create a QA warning later, but that warning does not block generation.
Quality standard
A strong Step 2 should prevent the article from sounding like a generic AI post by making audience, positioning, voice, and link permissions clear.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Brand name
- Logic
- Name the company, product, or publisher the article represents.
- Example answer
- blogworkflow.ai
- Effect on output
- Appears in brand framing, examples, author context, and image planning.
Tagline
Optional- Logic
- Summarize the product promise in one short phrase.
- Example answer
- Structured AI content workflows for publish-ready SEO articles.
- Effect on output
- Helps the draft describe the offer consistently without inventing positioning.
Website
Optional- Logic
- Provide the domain used for canonical URLs and internal-link matching.
- Example answer
- https://blogworkflow.ai
- Effect on output
- Improves canonical URL fallback, internal link classification, and SEO pack accuracy.
Services
Optional- Logic
- List what the business offers.
- Example answer
- SEO article workflow, AI draft generation, visual research, publishing QA
- Effect on output
- Gives the draft accurate product references and service examples.
Target audience
- Logic
- Define the reader or buyer group.
- Example answer
- Small marketing teams and founders who publish SEO articles but do not have a full content department.
- Effect on output
- Controls vocabulary, examples, assumed knowledge, pain points, and CTA fit.
Language system
Optional- Logic
- Set locale, market, tone, tone ratio, signature phrases, words to avoid, formality, and readability.
- Example answer
- Locale: en-US; market: United States; tone: educational and authoritative; readability: general.
- Effect on output
- Refines voice and regional assumptions. If empty, defaults are used.
Author name
Optional- Logic
- Attach a named author or editorial identity.
- Example answer
- blogworkflow.ai Editorial Team
- Effect on output
- Feeds author metadata and trust signals. If empty, the system uses Editorial team.
Reviewer name
Optional- Logic
- Add a reviewer when the article needs extra authority.
- Example answer
- SEO Operations Lead
- Effect on output
- Adds review context to the prompt and metadata where applicable.
Internal links
Optional- Logic
- List URLs the article is allowed to link to, with anchor text and descriptions.
- Example answer
- https://blogworkflow.ai/pricing | pricing plans | Compare included draft, premium text, and image usage.
- Effect on output
- Allows the model to place real internal links. If empty, it is told not to invent internal URLs.
SEO Research
Translate the article idea into search intent, keyword priorities, SERP gaps, and content angles.
Use this when ranking quality matters, when the topic is competitive, or when you want AI to expand beyond your first keyword idea.
How to operate this step
- Use the AI SEO analysis as the main research entry point, then manually override only the fields you trust more than the analysis.
- Use competitor URLs and gaps to define differentiation, not to copy the current SERP structure.
- People Also Ask and related keywords are best used to improve section coverage and answer-engine visibility.
Optional logic
OptionalSearch volume, difficulty, related keywords, competitor URLs, People Also Ask, suggested angles, and competitor gaps are optional enrichment. Leave them empty when you do not have reliable data.
Quality standard
A strong Step 3 should clarify search intent, primary keyword focus, missing SERP angles, and the questions the article must answer.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
AI SEO analysis
- Logic
- Run the research lane to summarize query intent, keyword opportunities, People Also Ask, and gaps.
- Example answer
- Analyze 'AI SEO content workflow software' for commercial investigation intent.
- Effect on output
- Improves keyword targeting, suggested headings, meta suggestions, and article angle.
Primary keyword
- Logic
- Set or override the main keyword the article should rank around.
- Example answer
- AI SEO content workflow software
- Effect on output
- Guides H1/H2 wording, SEO pack primary keyword, and body keyword usage.
Search volume
Optional- Logic
- Add an estimated search volume if available.
- Example answer
- 5400
- Effect on output
- Helps prioritize opportunity, but does not block generation when empty.
Difficulty
Optional- Logic
- Add a 0-100 keyword difficulty estimate.
- Example answer
- 35
- Effect on output
- Helps frame how specific or differentiated the article should be.
Related keywords
Optional- Logic
- Add secondary terms and semantic variations.
- Example answer
- structured SEO workflow, AI blog workflow, publish-ready content system
- Effect on output
- Improves topical breadth and secondary keyword coverage.
Competitor URLs
Optional- Logic
- Add pages the article should learn from or outperform.
- Example answer
- https://example.com/ai-content-workflow-guide
- Effect on output
- Helps the workflow identify gaps and avoid shallow duplicate framing.
People Also Ask
Optional- Logic
- List common search questions readers may ask.
- Example answer
- How do AI SEO workflows improve content quality?
- Effect on output
- Encourages answer sections, FAQ material, and answer-engine-friendly copy.
Suggested angles
Optional- Logic
- Capture possible editorial angles from research.
- Example answer
- Compare one-shot prompting with structured workflow systems.
- Effect on output
- Gives the draft stronger positioning and less generic framing.
Competitor gaps
Optional- Logic
- Record what existing ranking pages miss.
- Example answer
- Most pages explain AI writing tools but do not show how QA, links, and visuals stay connected.
- Effect on output
- Helps the article include differentiating sections and stronger conclusions.
Evidence & Entities
Give the article proof, sources, first-party observations, and named entities so it does not read like generic AI output.
Use this for posts that need credibility, citations, subject-matter nuance, or original product knowledge.
How to operate this step
- Use first-party insights to add information competitors cannot easily reproduce.
- Use source URLs for claims that need external support, especially technical, legal, pricing, medical, or time-sensitive claims.
- Use entity inputs to make the article more machine-readable for search systems and AI answer engines.
Optional logic
OptionalEntity map is safe to skip. Expert quotes, key entities, and proprietary assets are only added to the prompt when values exist. Empty values are skipped instead of causing backend errors.
Quality standard
A strong Step 4 should separate what the company knows first-hand from what needs external citation, so the draft has both originality and support.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
First-party insights
- Logic
- Add lessons, operator knowledge, customer patterns, or observations from your own experience.
- Example answer
- Teams usually fail not because the first draft is bad, but because research, brief, links, and QA live in separate places.
- Effect on output
- Makes the article more original and less like a generic SERP summary.
Statistics / proof points
Optional- Logic
- Add concrete numbers the draft can use.
- Example answer
- Target output: 1,200-1,600 words; benchmark checklist flags missing internal links.
- Effect on output
- Adds specificity and proof, especially in introductions and comparison sections.
Source URLs
- Logic
- Provide official reports, documentation, research pages, or trusted sources.
- Example answer
- https://developers.google.com/search/docs/fundamentals/creating-helpful-content
- Effect on output
- Lets the article cite or reference real sources instead of unsupported claims.
Expert quotes / notes
Optional- Logic
- Add direct quotes, paraphrased expert notes, or stakeholder comments.
- Example answer
- The fastest draft is not useful if the editor still has to rebuild the structure manually.
- Effect on output
- Adds authority, nuance, and quotable material when provided.
Key entities
Optional- Logic
- List important brands, tools, concepts, locations, regulations, or platforms.
- Example answer
- Google Search, schema markup, internal links, AI Overviews, GA4
- Effect on output
- Improves entity coverage and helps search engines understand the topic context.
Proprietary assets
Optional- Logic
- Add internal frameworks, checklists, datasets, or reusable IP.
- Example answer
- 8-step article workflow, SEO tracking pack, benchmark checklist
- Effect on output
- Gives the article unique assets that competitors cannot easily copy.
Critical Outline
Shape the argument and article structure before drafting so the model does not improvise away important sections.
Use this when the article needs a specific thesis, answer block, comparison, or must-cover outline.
How to operate this step
- Use thesis and direct answer to control the article's argument before drafting starts.
- Use required sections when the article must follow a specific editorial structure or sales narrative.
- Use comparison tables and takeaways when the reader is comparing options or needs a decision framework.
Optional logic
OptionalStructure is safe to skip. Required sections, comparison table ideas, and key takeaways are skipped when empty, so the model can still draft from topic, brand, SEO, and proof context.
Quality standard
A strong Step 5 should make the article's point of view, direct answer, and section logic clear enough that the draft does not drift into a generic listicle.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Thesis
- Logic
- Write the main argument of the article.
- Example answer
- AI SEO tools become more useful when they are organized into a repeatable workflow instead of used as isolated prompts.
- Effect on output
- Controls the article's point of view and conclusion.
Direct answer
- Logic
- Write the short answer readers should get near the top.
- Example answer
- An AI SEO workflow helps teams turn a topic into research, proof, structure, draft, QA, and visuals inside one repeatable process.
- Effect on output
- Improves answer blocks, summaries, and AI visibility readiness.
Contrarian / critical insight
Optional- Logic
- Define what common content misses or gets wrong.
- Example answer
- The main advantage is not speed; it is reducing late-stage editorial repair.
- Effect on output
- Adds originality and prevents generic listicle output.
Required sections
Optional- Logic
- List section headings or topics that must appear.
- Example answer
- Why one-shot prompts fail; The 8-step workflow; Optional fields; QA and visual packaging
- Effect on output
- Creates stronger structure and makes sure critical sections are included.
Comparison table idea
Optional- Logic
- Define a table the article should include.
- Example answer
- One-shot prompting vs structured SEO workflow
- Effect on output
- Encourages clear comparison content instead of vague prose.
Key takeaways
Optional- Logic
- List the conclusions the reader should remember.
- Example answer
- Core fields are enough to start; optional fields improve precision; QA warnings are not generation blockers.
- Effect on output
- Shapes summary blocks, conclusion, and final lessons.
Draft Generation
Choose the drafting lane, target length, metadata behavior, output format, and any hard generation overrides.
Use this before generating. Most users only need draft lane and target word count at first.
How to operate this step
- Use draft lane to control the cost-quality tradeoff before generation.
- Use target word count as a practical editorial target, not a guarantee that every generated article will land on the exact number.
- Use publish output settings when the final deliverable needs metadata, schema hints, benchmark checks, or export-ready formatting.
Optional logic
OptionalPrompt override is safe to skip. An empty custom system prompt adds no extra instruction. Use it only for hard constraints that cannot be expressed through the structured fields.
Quality standard
A strong Step 6 should define the article length, model lane, publish packaging, and any exceptional drafting rules before the Generate action starts.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Draft lane
- Logic
- Choose the model/credit lane used for main article generation.
- Example answer
- Standard draft lane for routine articles; premium text for higher-stakes content.
- Effect on output
- Affects model quality, cost bucket, and writing depth.
Target word count
- Logic
- Set the intended article length.
- Example answer
- 1400
- Effect on output
- The server tries to keep the draft near this target and uses it in benchmark checks.
Meta title max length
Optional- Logic
- Set the target character limit for SEO titles.
- Example answer
- 65
- Effect on output
- Keeps title metadata short enough for search result display.
Meta description max length
Optional- Logic
- Set the target character limit for meta descriptions.
- Example answer
- 155
- Effect on output
- Guides snippet and SEO pack description length.
Image, link, summary, schema, and naturalness toggles
Optional- Logic
- Control whether the article includes image suggestions, links, summaries, schema notes, and an editorial naturalness pass.
- Example answer
- Include summary block, internal links, external links, schema notes, and naturalness pass.
- Effect on output
- Changes publish-readiness, QA expectations, and final polish.
Export format
Optional- Logic
- Choose the output format.
- Example answer
- HTML
- Effect on output
- Affects whether metadata, canonical hints, and structured data can be embedded directly.
Auto-save
Optional- Logic
- Choose whether generated output is stored in the database.
- Example answer
- On
- Effect on output
- Keeps generated sessions available in the workspace history.
SEO tracking pack and benchmark checklist
Optional- Logic
- Choose whether to include publishing metadata and QA metrics.
- Example answer
- Include SEO tracking pack and benchmark checklist.
- Effect on output
- Adds review data such as title length, word count, links, schema, and keyword coverage.
Custom system prompt
Optional- Logic
- Add a hard instruction only when normal fields are not enough.
- Example answer
- Always include a section that explains the operational tradeoff for non-specialist users.
- Effect on output
- Appends extra drafting instructions. If empty, nothing is added.
Claim & Link QA
Set publishing quality rules for claims, source freshness, internal links, external links, and final review.
Use this when the article needs stricter review standards. It can produce warnings without blocking generation.
How to operate this step
- Use this step to define review standards rather than to make generation possible.
- Treat source, freshness, and link counts as benchmark targets that help editors find weak spots.
- Use the review checklist for organization-specific editorial rules that should appear in every final review.
Optional logic
OptionalThe review checklist is optional. QA targets can produce warnings without blocking generation, which is useful when the draft should still be created for human review.
Quality standard
A strong Step 7 should make review expectations explicit enough that unsupported claims, stale facts, and missing links are easy to identify after generation.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Require source-backed claims
- Logic
- Ask the writer to support non-obvious claims with sources, first-party evidence, or careful framing.
- Example answer
- On
- Effect on output
- Reduces unsupported absolutes and encourages sourced claims.
Freshness window
- Logic
- Tell the workflow how recent supporting facts should be for time-sensitive topics.
- Example answer
- 365
- Effect on output
- Encourages newer sources for topics where old information may be stale.
Minimum internal links
- Logic
- Set the desired internal link count.
- Example answer
- 3
- Effect on output
- Guides internal linking and benchmark warnings. Empty Authority links may still create a warning, not a blocker.
Minimum external links
- Logic
- Set the desired number of external authority links.
- Example answer
- 2
- Effect on output
- Guides source coverage and external link QA.
Review checklist
Optional- Logic
- Add final editorial checks.
- Example answer
- Remove vague claims; verify every link; keep paragraphs short.
- Effect on output
- Adds custom QA criteria to the generation prompt.
Visual / Image Generation
Plan search-based visuals or generate image prompts/images connected to the article.
Use this when the final output needs visual direction, image placements, or generated images.
How to operate this step
- Use Search Research mode when an editor should find real screenshots, diagrams, or reference assets first.
- Use direct image generation only when generated visuals are acceptable for the article's use case.
- Use style, ratio, and image count to keep visual output aligned with the article placement, not just the aesthetic preference.
Optional logic
OptionalAsset research is safe to skip. Empty search keywords, source types, and preferred sources are treated as "none"; visual research still uses article title and content as fallback context.
Quality standard
A strong Step 8 should specify whether the article needs real-source visual research, AI-generated concepts, or simply enough visual direction for a designer/editor.
Fields, examples, and output impact
Use the field notes below to decide whether an input is part of the minimum brief or a refinement layer for precision, source quality, QA, or publish readiness.
Visual mode
- Logic
- Choose search-first visual research or direct AI image generation.
- Example answer
- Search-first
- Effect on output
- Controls whether the output is a research pack or generated image flow.
Image lane
- Logic
- Choose the visual quality/credit lane.
- Example answer
- Standard visuals for routine support; premium visuals for hero assets.
- Effect on output
- Affects image quality and which visual credit bucket is used.
Credit usage
- Logic
- Shows which visual allowance will be consumed.
- Example answer
- Standard visuals left: 10; Premium visuals left: 2
- Effect on output
- Helps users avoid starting visual work without enough included usage.
Search keywords
Optional- Logic
- List visual search prompts for stock, screenshots, references, or inspiration.
- Example answer
- SEO workflow dashboard, content brief checklist, editorial QA process
- Effect on output
- Improves visual research specificity. If empty, visual research still uses title and article content.
Source types
Optional- Logic
- List asset formats to consider.
- Example answer
- Workflow chart, product screenshot, comparison diagram
- Effect on output
- Guides asset type recommendations in the visual research pack.
Preferred sources
Optional- Logic
- List websites or source categories for asset discovery.
- Example answer
- Official docs, product screenshots, first-party diagrams
- Effect on output
- Guides where editors should look for assets.
Image style
- Logic
- Choose the desired visual treatment.
- Example answer
- Infographic
- Effect on output
- Shapes visual prompts and research recommendations.
Aspect ratio
- Logic
- Choose landscape, portrait, or square.
- Example answer
- Landscape
- Effect on output
- Guides generated image dimensions and placement suitability.
Number of images
- Logic
- Set how many visual placements or images are needed.
- Example answer
- 3
- Effect on output
- Controls the size of the visual research pack or image generation batch.
Custom prompt template
Optional- Logic
- Override image prompt wording when direct generation needs tighter creative control.
- Example answer
- Create a clean SaaS workflow diagram for {{description}} using {{brand}} visual language.
- Effect on output
- Changes generated image prompt structure when AIGC mode is used.