Search Intent Classification for Long-Tail Keywords: Mapping Informational, Commercial, Navigational, and Transactional Queries

Long-tail keyword research becomes much more valuable when you understand why a searcher is making a query, not just what words they have typed. A phrase such as “best project management software for small agencies” carries a very different expectation from “how to create a project management workflow”, even though both belong to the same topic.

This is where search intent classification matters. It helps you match each long-tail keyword to the right page type, content format, conversion path, and stage of the buying journey. It also reduces keyword cannibalisation, because every important query can be assigned to a clear, distinct URL rather than scattered across several vaguely similar articles.

For publishers, SEOs, affiliate teams, and ecommerce businesses, this whole thing is difficult to manage manually at scale. You need keyword research, intent analysis, content briefs, internal linking, article production, and publishing to work together. SEO Letters is built for that workflow, taking a keyword from research through to a structured, publish-ready article without the copy-and-paste grind.

Why Long-Tail Keywords Require More Precise Intent Classification

Long-tail keywords usually contain three or more words and tend to be more specific than broad head terms. They may have lower search volume, but they often reveal a clearer problem, audience, use case, location, product requirement, or purchase condition.

Examples include:

• “how to audit backlinks for a small business website”
• “best running shoes for flat feet and beginners”
• “SEO Letters alternatives for content agencies”
• “buy waterproof hiking boots size 10”
• “WordPress SEO plugin setup for an online shop”

These queries are not interchangeable. A user searching for instructions needs education and clarity. Someone comparing tools needs evidence, benchmarks, and commercial context. A user looking for a particular brand expects a navigational result, while someone ready to buy wants a direct route to a product or service page.

The distinction can be subtle. Searchers do not always use obvious words such as “buy”, “review”, or “how to”. This is why classification should combine:

• The wording of the query
• The current search engine results page
• The likely user problem
• The expected content format
• The searcher’s position in the funnel
• The relationship between the keyword and existing pages

A keyword with 90 monthly searches can be more commercially useful than one with 9,000 searches if it shows strong purchase intent. Volume is only one input.

The Four Core Search Intent Categories

Search intent is commonly grouped into four categories: informational, commercial, navigational, and transactional. These categories are useful as a starting framework, although real queries can sit between two types.

For example, “best AI writing tool for SEO agencies” is commercial investigation. It suggests a possible purchase, but the person is still comparing options. “SEO Letters pricing” is navigational with commercial implications, because the searcher may already know the brand and wants to reach a specific destination.

Intent category	Main user objective	Typical long-tail wording	Best page format
Informational	Learn, understand, solve, or research	how to, what is, why does, guide to	Guide, tutorial, explainer, checklist
Commercial	Compare or evaluate solutions	best, review, alternatives, versus, top	Comparison, review, buyer’s guide
Navigational	Find a known brand, page, or resource	brand name, login, pricing, support	Homepage, product page, documentation
Transactional	Complete an action or purchase	buy, order, sign up, download, hire	Product page, landing page, checkout route

The categories are not rigid boxes. Treat them as working labels that help you make better publishing decisions.

Informational Intent

Informational queries are used when the searcher wants knowledge or a practical answer. They may be at the beginning of a research process, although informational searches can also come from experienced professionals who need a specific solution quickly.

Long-tail informational examples include:

• “how to identify keyword cannibalisation in Google Search Console”
• “what is topical authority in SEO”
• “how long should a blog post be for competitive keywords”
• “why are my pages competing for the same keyword”
• “how to create a content cluster for a SaaS website”

The best result usually does several things well:

• Defines the topic in plain language
• Explains the underlying process
• Uses examples and screenshots where helpful
• Answers related questions
• Links to relevant tools or next steps
• Avoids pushing a product before establishing usefulness

For a keyword such as “how to identify keyword cannibalisation”, a product page would be a poor match. The searcher needs a method, diagnostic framework, and practical recommendations. You could mention SEO Letters in the workflow section, particularly if it helps map keyword clusters and plan separate pages, but the article must first solve the problem.

Commercial Investigation Intent

Commercial queries show that the searcher is evaluating options. They may not be ready to purchase today, but they are narrowing a shortlist.

Typical phrases include:

• best blog writing tool for SEO agencies
• SEO content software for WordPress
• SEO Letters alternatives
• AI article writer for affiliate websites
• best keyword clustering tool for content teams
• content automation software review

The searcher normally wants proof. They may be checking:

• Features
• Pricing
• Ease of use
• Integrations
• Quality controls
• Publishing options
• Customer suitability
• Support and reliability
• Performance evidence

A comparison page should not simply list products and repeat their marketing claims. It should explain the evaluation criteria and show where each solution fits. If you are discussing SEO Letters as a blog writing tool, useful commercial information includes its keyword research workflows, topical authority planning, article structure, internal link suggestions, schema, image support, direct publishing, and campaign scheduling.

Navigational Intent

Navigational queries indicate that the user is looking for a particular website, brand, product, page, or resource. They may already know what they want.

Examples include:

• SEO Letters login
• SEO Letters app
• SEO Letters pricing
• Google Search Console keyword cannibalisation report
• Ahrefs keyword explorer
• WordPress SEO settings
• Shopify blog editor

The correct response is usually a direct destination. A long educational article may rank for a navigational query, but it is rarely the ideal landing page. Searchers want to get somewhere.

Navigational keywords are also useful for understanding brand demand. Track them separately from generic informational and commercial phrases because their performance reflects brand visibility, reputation, and returning user behaviour.

Transactional Intent

Transactional queries suggest that the user wants to complete an action. That action could be a purchase, sign-up, download, subscription, booking, or enquiry.

Examples include:

• buy SEO content software
• subscribe to an AI blog writer
• hire an SEO content agency
• download keyword research template
• order running shoes for flat feet
• book a technical SEO audit

Transactional pages need a clear route to conversion. Avoid burying the action underneath a very long essay. The page should make the offer understandable, show relevant proof, answer objections, and provide a prominent next step.

For service and software businesses, transactional long-tail keywords can have modest volume but strong value. “AI blog writer with WordPress publishing” may attract fewer searches than “AI writing tool”, yet it communicates a much more specific requirement.

How to Classify Long-Tail Keywords Accurately

A reliable classification process should not depend on keyword modifiers alone. Modifiers are useful signals, but search results often reveal a more reliable interpretation.

Step 1: Extract the Query’s Functional Meaning

Read the keyword as a sentence and ask what the searcher is trying to accomplish.

A query such as “best content writing software for ecommerce” implies evaluation. “How to write product category pages” implies learning. “SEO Letters WordPress integration” suggests a known brand and a specific feature destination.

Record the primary action:

• Learn
• Compare
• Find
• Buy
• Solve
• Validate
• Navigate
• Implement

This first label can be informal. The purpose is to avoid treating every variation as a separate article opportunity.

Step 2: Identify Intent Modifiers

Certain words point towards particular intent types, although context still matters.

Modifier pattern	Likely intent	Example
how, what, why, guide, tutorial	Informational	how to build a content cluster
best, top, review, comparison, alternatives	Commercial	best AI SEO writing tools
brand, login, pricing, support, dashboard	Navigational	SEO Letters dashboard
buy, hire, order, sign up, subscribe	Transactional	subscribe to SEO content software
template, checklist, examples	Informational or transactional	keyword cannibalisation template
near me, in London, local	Commercial or transactional	SEO consultant near me

Some modifiers cross categories. “Free SEO audit template” may be informational if the user wants to learn, or transactional if the template is being used as a lead magnet. Check the page types ranking in Google before deciding.

Step 3: Review the Search Engine Results Page

The SERP is one of the strongest practical indicators of intent. Search engines aggregate user behaviour, content quality, relevance, and format satisfaction. The result page is not perfect, but it gives you a market-tested view of what searchers appear to want.

Review the top 10 to 20 organic results and note:

• The ratio of guides to product pages
• Whether listicles dominate
• Whether category pages appear
• The presence of forums, videos, tools, or documentation
• The wording used in title tags
• The depth and format of ranking pages
• Whether the results are mostly branded or generic

You can classify the SERP using a simple scoring rubric.

SERP observation	Informational score	Commercial score	Navigational score	Transactional score
Long-form guides dominate	+3	0	0	0
Product reviews and comparisons dominate	0	+3	0	+1
Brand homepage or product page dominates	0	+1	+3	+1
Ecommerce and service landing pages dominate	0	+1	0	+3
Videos and discussion forums appear often	+2	+1	0	0
Pricing, product, or sign-up pages appear	0	+2	+1	+3

The category with the highest total becomes your primary classification. If the scores are close, label the keyword as mixed intent and build the page around the dominant requirement.

Step 4: Analyse the SERP Features

SERP features can add useful context. Featured snippets often indicate a direct informational question. Shopping results suggest transactional intent. Sitelinks and brand panels point towards navigational demand.

Look for:

• Featured snippets
• People Also Ask questions
• Image packs
• Video results
• Product carousels
• Shopping listings
• Local packs
• Site links
• Reviews and ratings
• Discussions and forums

A query with a featured snippet and several “People Also Ask” boxes may need a concise answer near the top, followed by a deeper explanation. A query with shopping results needs commercial and product information, not a general essay.

Step 5: Infer the User’s Business Context

The same phrase can mean different things to different audiences. “Content automation” might be searched by a freelance consultant, an ecommerce manager, an affiliate publisher, or an enterprise SEO team.

Ask:

• What role is the searcher likely to have?
• What problem are they trying to reduce?
• What risk are they concerned about?
• What action could follow this search?
• What information would make the next decision easier?

This step is especially important for B2B keywords. A marketing director may search “best automated content platform for multi-site publishing”, while a small business owner may search “easy blog writing software for WordPress”.

Search Intent and Keyword Cannibalisation

Keyword cannibalisation happens when multiple pages on the same website target the same or closely related search demand without a clear strategic distinction. Google may alternate between those pages, rank the weaker URL, or fail to establish which page is the best result.

Long-tail content makes this problem easier to create because small wording changes can produce several apparently different keywords:

• What is keyword cannibalisation?
• How to fix keyword cannibalisation
• Keyword cannibalisation audit
• Keyword cannibalisation checker
• Keyword cannibalisation examples
• Does keyword cannibalisation hurt SEO?

These queries are related, but they do not necessarily deserve six separate articles. Publishing six pages with overlapping definitions and advice could dilute authority. A better structure might use one comprehensive guide supported by distinct pages for a tool, a service, or a highly specific technical use case.

The Difference Between Legitimate Coverage and Cannibalisation

Not every related keyword should be merged. Separate pages are justified when the searcher’s goal, required format, or conversion path changes meaningfully.

Keyword	Likely intent	Recommended URL
what is keyword cannibalisation	Informational	Definition and explanation guide
how to fix keyword cannibalisation	Informational, practical	Troubleshooting tutorial
keyword cannibalisation audit service	Transactional	Service landing page
keyword cannibalisation checker	Commercial or transactional	Tool or product page
keyword cannibalisation examples	Informational	Examples section or dedicated guide
keyword cannibalisation in ecommerce category pages	Informational, specialist	Ecommerce SEO guide

The key question is not whether the keywords look different. Ask whether the visitor expects a different answer and whether the page needs a different conversion path.

A Cannibalisation Risk Scoring Model

You can score the risk of overlap before creating a new page. This is useful in large content programmes where hundreds of long-tail keywords are being assessed.

Give each factor a score from 0 to 3:

Factor	0 points	3 points
Query meaning	Clearly different	Almost identical
SERP overlap	Little overlap	Same ranking URLs
Content format	Different format	Same format
Funnel stage	Different stage	Same stage
Main entity	Different entity	Same entity
Existing URL focus	Strongly distinct	Vaguely defined

Add the scores:

• 0 to 5: Low cannibalisation risk
• 6 to 10: Review the content map carefully
• 11 to 18: High risk, merge, redirect, or create a sharper distinction

This is not a Google metric. It is a planning device. The value comes from forcing a deliberate decision before production begins.

Building an Intent-Based Long-Tail Keyword Map

A keyword map connects each target phrase to one URL, one primary intent, one content format, and one business objective. Without this map, your editorial calendar can become a collection of topics rather than a coherent search strategy.

Recommended Keyword Mapping Columns

Use a spreadsheet, database, or SEO platform with fields such as:

• Primary keyword
• Secondary keywords
• Intent classification
• Intent confidence
• Search volume
• Keyword difficulty
• Business value
• Funnel stage
• Target URL
• Proposed title
• Content format
• Parent topic
• Internal links in
• Internal links out
• Existing URL overlap
• Cannibalisation risk
• Publication status
• Refresh date

The intent confidence field is useful when the SERP is mixed. A confidence score of 90% suggests a clear result pattern. A score of 55% indicates that you should test the format, monitor performance, and remain willing to revise the page.

Assign One Primary Intent Per Page

A page can answer related questions, but it should have one dominant purpose. This keeps the title, structure, calls to action, and internal links aligned.

For example:

• Primary intent: Informational
• Main keyword: how to create a topical authority map
• Secondary keywords: topical map template, content cluster planning, SEO topic clusters
• Conversion path: try SEO Letters for keyword clustering and campaign planning
• Supporting page: topical authority software comparison

That structure is more coherent than creating separate pages for every minor variation and repeating the same explanation in each one.

Content Formats That Match Each Intent

Search intent classification affects the entire page, not just the keyword field in your content brief.

Informational Content Structure

A strong informational article might include:

1. A direct answer near the beginning
2. Definitions and context
3. A step-by-step process
4. Examples from different industries
5. Common mistakes
6. Practical templates or checklists
7. Related commercial next steps

Do not make the reader work through 1,500 words before getting the basic answer. Give them the essential point early, then add the depth that supports implementation.

Commercial Content Structure

Commercial pages generally need:

1. A clear definition of the category
2. Evaluation criteria
3. A comparison table
4. Strengths and limitations of each option
5. Suitability by user type
6. Pricing or plan context where available
7. Evidence, demonstrations, and integration details
8. A clear recommendation framework

If you are presenting SEO Letters, explain the workflow rather than relying on vague praise. Its value is connected to the complete publishing process: keyword research, difficulty ratings, topical clusters, site-gap analysis, article generation, internal links, schema, images, campaign scheduling, and direct publishing to platforms such as WordPress and Shopify.

Navigational Content Structure

Navigational pages should be direct and functional:

• Use the brand or product name clearly
• Place the requested destination near the top
• Include login, pricing, documentation, or support routes
• Keep navigation consistent
• Add structured data where appropriate
• Avoid forcing a brand searcher through an unrelated educational funnel

A branded article can still rank for navigational demand, but the website should provide a more direct page wherever possible.

Transactional Content Structure

Transactional pages need decision support without unnecessary friction. Include:

• The product or service outcome
• Specific features and deliverables
• Pricing or a route to pricing
• Proof, reviews, or relevant examples
• FAQs addressing objections
• A visible sign-up, purchase, booking, or enquiry action
• Clear terms and expectations

A transactional long-tail page should not feel like a thin doorway page. It still needs useful detail, especially when the purchase involves software, a professional service, or a recurring subscription.

How SEO Letters Supports Intent-Led Content Operations

Use SEO Letters to Turn Long-Tail Keywords Into Structured Articles

The gap between keyword research and published content is where many teams lose time. A keyword list does not create a useful page by itself. Someone still needs to classify intent, build a brief, organise headings, add internal links, select images, apply schema, and publish the result.

SEO Letters is designed to connect these stages. You can move from a keyword or topic into a complete article workflow, with output shaped around the searcher’s likely goal and your brand voice.

Its workflow can support:

• Keyword discovery and difficulty assessment
• Content cluster and topical authority planning
• Competitor and site-gap analysis
• Long-form article generation
• Internal link recommendations
• Schema and image inclusion
• Product-aware content for affiliate and ecommerce publishing
• Multi-language generation across 21 languages
• Direct publishing to WordPress, Shopify, and webhooks

You can also bring your own AI keys and route different stages to Gemini, OpenAI, or Claude. That gives technical teams more control over cost, model selection, and workflow design.

Build an Intent-Based Publishing Schedule With SEO Letters

A content calendar is useful, but a campaign scheduler is more powerful when it is connected to research and publishing. SEO Letters allows you to set a topic, cadence, destination, and campaign requirements, then automate the research, writing, and publishing stages.

This is relevant to long-tail SEO because search demand is rarely covered with one article. You may need:

• A broad informational pillar
• Commercial comparison pages
• Product or service pages
• Supporting problem-solving guides
• Refresh campaigns for older content
• Internal linking updates as the cluster grows

The scheduler helps turn that plan into a repeatable publishing operation. It can also support content-refresh campaigns, which matter because updating existing pages is often safer and more efficient than endlessly adding new URLs.

A Practical Intent Classification Workflow

Use this process when planning a new long-tail cluster.

1. Collect and Expand the Keyword Set

Begin with a broad seed topic, then expand into specific questions, use cases, comparisons, and action terms.

For a seed keyword such as “AI blog writer”, you might find:

• how does an AI blog writer work
• best AI blog writer for SEO
• AI blog writer with WordPress publishing
• AI blog writer for affiliate websites
• SEO Letters AI blog writer
• subscribe to an AI blog writing tool

Do not judge these terms only by volume. The wording already suggests different page requirements.

2. Cluster by Meaning Before Clustering by Words

Traditional keyword clustering often groups phrases based on shared words or SERP similarity. Add a semantic and intent layer.

A useful cluster might look like this:

Cluster	Example terms	Intent	Page role
Education	what is an AI blog writer, how AI blog writing works	Informational	Pillar guide
Evaluation	best AI blog writer, AI writer for SEO	Commercial	Comparison guide
Brand	SEO Letters AI blog writer, SEO Letters app	Navigational	Product page
Action	subscribe to AI blog writer, AI blog writing software	Transactional	Conversion page

This prevents your educational guide from competing directly with a commercial comparison page.

3. Check Existing URLs

Search your own website using:

• site:yourdomain.com keyword
• Exact keyword searches
• Google Search Console queries
• Rank tracking history
• Internal site search data
• URL and title exports

Look for pages that already rank for the query or close variants. A new article may not be needed. You might improve the existing page, merge two URLs, change the target keyword, or create a sharper supporting page.

4. Choose the Canonical Page

For each intent cluster, select one primary URL. This URL should have the strongest alignment, authority, links, and business purpose.

If several pages already compete, consider:

• Merging overlapping content
• Redirecting weaker URLs
• Rewriting titles and introductions
• Assigning different subtopics
• Adjusting internal links
• Canonicalising only where the pages are genuinely duplicate-like
• Removing redundant pages when they add no distinct value

A canonical tag does not solve every cannibalisation problem. Content strategy and URL purpose still matter.

5. Create the Brief Around Intent

Your brief should specify:

• Primary keyword
• Search intent
• Searcher profile
• Required format
• Content depth
• SERP patterns
• Questions to answer
• Pages to link to
• Conversion action
• Evidence requirements
• Cannibalisation risks

This makes the article easier to produce and easier to review. It also stops AI-generated drafts drifting into generic explanations that do not match the SERP.

6. Publish, Measure, and Reclassify

Intent classification is a hypothesis until the page has performance data. After publication, review:

• Impressions
• Click-through rate
• Average position
• Query variations
• Landing page engagement
• Scroll depth
• Assisted conversions
• Sign-ups or enquiries
• Pages per session
• Ranking URL changes
• Organic conversions by intent group

If an informational page receives impressions but weak clicks, the title and snippet may need work. If a commercial page ranks but generates no assisted conversions, the comparison criteria or call to action may be poorly aligned.

Case Study: Reducing Cannibalisation in a SaaS Content Cluster

Imagine a SaaS company publishing around “automated SEO content”. It creates these pages within six months:

• What is automated SEO content?
• Best automated SEO content software
• Automated SEO content tools
• How to automate SEO content
• Automated SEO content platform
• AI SEO content generator

At first glance, each title appears different. In practice, the pages may target the same audience, use the same examples, and compete for similar SERPs.

An audit shows that four pages rank for overlapping queries, while the remaining two receive almost no impressions. The company then maps the cluster by intent.

Page decision	Action
Educational definition guide	Keep and expand as the informational pillar
Best software comparison	Keep as the commercial evaluation page
How to automate SEO content	Narrow to a process-led tutorial
Platform page	Rewrite for transactional software searches
AI SEO content generator	Merge if it duplicates the software page
Automated SEO content tools	Redirect or reposition as a category comparison

The result is a smaller content set with clearer purposes. Rankings may take time to settle, but internal authority becomes easier to distribute and performance reporting becomes less confusing.

SEO Letters can support this kind of planning through keyword research, topic clustering, competitor gap analysis, and scheduled content workflows. The point is not to publish more URLs automatically. It is to publish the right pages with a defensible reason for each one.

Common Search Intent Classification Mistakes

Relying Only on Keyword Modifiers

“Best” usually suggests commercial investigation, but not always. Some “best” queries are broad educational searches, while some transactional queries contain no buying modifier at all.

Always validate with the SERP and the likely task.

Treating Search Volume as Priority

High-volume terms can be difficult, broad, and weakly aligned with your offer. Long-tail queries often provide clearer conversion signals and a more manageable route into competitive markets.

Use a broader priority model:

Factor	Suggested question
Relevance	Does the query match your product, service, or expertise?
Intent	Is the user likely to take a valuable action?
Difficulty	Can your website compete realistically?
Authority	Does the topic fit your existing expertise?
Cannibalisation	Is there already a suitable URL?
Commercial value	Could this traffic support revenue or leads?

Creating One Page for Every Keyword Variation

This is one of the fastest ways to create a thin, repetitive website. If ten queries have the same intent and SERP pattern, they may belong on one well-developed page.

The exception is when the audience, use case, location, product, or answer genuinely changes. Build distinctions around user needs, not minor wording differences.

Mixing Informational and Transactional Content Without Structure

A guide can mention a product. A product page can answer common questions. Problems arise when neither page has a clear role.

The article becomes a sales page disguised as education, while the landing page becomes an overgrown blog post with no clear action. Separate the jobs, then connect them through internal links.

Ignoring Existing Rankings

If an existing page ranks at position 12 for a keyword, a new article could split signals away from it. Check historical data before publishing. You may get a better outcome by improving the existing URL.

Using AI Without Editorial Controls

Automated writing can create scale, but it does not remove the need for editorial judgement. Generated content should be checked for:

• Intent alignment
• Factual accuracy
• Original examples
• Brand suitability
• Internal link relevance
• Unsupported claims
• Duplicate sections
• Weak commercial language
• Over-optimised phrasing

SEO Letters is intended to handle the production workflow, not to replace strategy and review. You still define the audience, commercial boundaries, expertise, and standards.

Measuring Whether Intent Mapping Is Working

Create reporting segments by intent type. This makes it easier to see which parts of your content system are contributing to growth.

Informational KPIs

• Non-branded impressions
• Featured snippet visibility
• Organic clicks
• Engagement and scroll depth
• New users
• Assisted conversions
• Internal click-through rate

Commercial KPIs

• Comparison page rankings
• Click-through rate
• Product page visits
• Trial or demo clicks
• Assisted sign-ups
• Return visits
• Conversion rate by landing page

Navigational KPIs

• Branded search impressions
• Branded click-through rate
• Login or product page visits
• Sitelink visibility
• Returning organic users

Transactional KPIs

• Organic conversion rate
• Revenue or qualified leads
• Checkout or sign-up completion
• Enquiry quality
• Cost per acquired customer
• Conversion value by keyword group

A strong content programme may not convert every informational visitor immediately. That is normal. Informational pages often introduce the brand, build trust, and move users into commercial pages later.

Key Takeaways for Long-Tail Keyword Research

• Classify the task behind the query, not only the words used.
• Use the SERP as evidence of what search engines and searchers currently expect.
• Assign one primary intent to each page so the format and conversion route remain clear.
• Map related keywords before creating URLs to reduce cannibalisation.
• Merge overlapping variations when the user need and SERP are substantially the same.
• Keep educational, commercial, navigational, and transactional pages connected through purposeful internal links.
• Measure performance by intent group, not just total organic traffic.
• Use automation to support a disciplined publishing system, with editorial review still in place.
• Refresh established pages when intent, competitors, or search expectations change.

Final Conclusion: Build a Clearer Long-Tail Content System

Search intent classification gives long-tail keyword research a strategic backbone. It helps you decide which keywords belong together, what kind of page to create, where each page sits in the funnel, and when a new article could create keyword cannibalisation rather than organic growth.

The strongest approach is repeatable. Research the query, inspect the SERP, classify the intent, check existing URLs, assign a canonical page, create the right format, publish with internal links, and review the performance data. Then refine the map as your rankings and business priorities develop.

If you’re managing a growing site, affiliate operation, ecommerce blog, or multi-client SEO programme, the production workload can quickly become the limiting factor. SEO Letters helps you move from keyword research to structured articles, topical clusters, internal links, schema, images, publishing, and scheduled content refreshes in one connected workflow.

You bring the strategy. SEO Letters handles the work between the idea and the live page. If you need a specific workflow or want to discuss your publishing requirements, the rightbar is the contact path.