AI search is changing how content gets discovered, summarised, cited, and compared. A website can publish regularly and still fail to appear in useful search journeys because its topic coverage is thin, its articles overlap, or its internal links send mixed signals to search engines.
That is where AI content readiness audit services become valuable. A serious audit examines more than page titles and keyword density. It reviews search intent, topical authority, entity coverage, internal linking, factual depth, content structure, and the likelihood that several pages are competing for the same query.
The most common hidden issue is SEO keyword cannibalization. Two or more pages may target similar phrases, answer the same question, or attract the same links. When that happens, your website’s relevance becomes diluted. Search engines may rotate rankings between pages, select the wrong URL, or decide that none of the pages provides a sufficiently clear answer.
An audit should not end with a spreadsheet of problems. The useful outcome is a set of prioritised recommendations that can become search-ready blog drafts, refreshed pages, consolidation briefs, internal linking plans, and scheduled publishing campaigns.
SEO Letters is built for that complete workflow. It combines keyword research, content audits, topical authority planning, AI-assisted drafting, internal links, schema, image suggestions, product-aware content, and direct publishing into one operating system for content teams.
What AI Content Readiness Means for Modern Search
AI content readiness refers to how effectively your website’s content can be understood, trusted, retrieved, and used across traditional search results and AI-assisted search experiences.
This does not mean adding a few generic answers to every article. It means building a clear information system around your subject, with pages that have distinct purposes and enough evidence, context, and structure to satisfy both people and search systems.
A content-ready website usually demonstrates:
- Clear ownership of important topics and subtopics
- Distinct search intent for each important URL
- Strong coverage of related entities, questions, and use cases
- Consistent terminology across the site
- Reliable internal linking between supporting and commercial pages
- Authoritative first-hand information or verifiable sources
- Structured headings that make the page easy to interpret
- Regular content refreshes where facts, examples, and recommendations change
- Clear conversion paths from informational content to relevant services or products
The whole thing is connected. A technically sound site with weak topic coverage still struggles, while a well-written blog with several competing pages can create search intent overlap that is difficult to resolve.
Why a Standard Content Audit Is Not Enough
A conventional audit may identify:
- Missing title tags
- Duplicate metadata
- Broken links
- Thin pages
- Slow-loading templates
- Outdated articles
- Low organic traffic
Those checks remain useful, but they do not fully explain why a content portfolio is failing to build authority. An AI search readiness audit looks at the relationships between pages and topics, not just the condition of individual URLs.
For example, an audit might reveal that:
- Your guide to “content audits” ranks for the same terms as your page about “SEO audit services”.
- Your article about topic clusters links to five related posts, but none links back to the main service page.
- Your best-performing article lacks recent examples and no longer reflects current search behaviour.
- Your product category pages contain no supporting content that explains selection criteria, use cases, or comparisons.
- Your site discusses a topic in broad terms but fails to cover the questions people ask before making a decision.
That is a more useful diagnosis because each issue points towards a practical action.
Why Keyword Cannibalization Weakens Content Performance
Keyword cannibalization occurs when multiple pages on the same domain compete for similar search terms or search intents. The problem is not simply that two pages contain the same keyword. Overlap becomes commercially significant when search engines struggle to determine which URL should satisfy the query.
Common symptoms include:
- Rankings that fluctuate between two or more URLs
- Several pages ranking on page two while no page reaches the top positions
- Impressions spread across similar URLs
- Backlinks pointing to different pages covering the same subject
- A less relevant article ranking instead of the intended landing page
- Declining clicks after publishing a new, similar article
- Internal links using inconsistent anchor text
- Search Console impressions for the same query across several URLs
This whole thing often develops slowly. A team publishes one article for “AI content audit”, another for “AI SEO audit”, then a third for “content readiness audit”. Each page appears reasonable on its own. Together, they may create a confused topic cluster.
Keyword Cannibalization Is Not Always a Problem
Not every ranking variation requires consolidation. Two pages can target related phrases while serving different needs.
| Situation | Likely interpretation | Recommended action |
|---|---|---|
| Two pages target the same phrase and answer the same question | High-risk cannibalization | Consolidate, redirect, or substantially reposition one page |
| One page is informational and another is transactional | Potentially healthy separation | Clarify intent and strengthen internal links |
| Two pages target different audiences | Usually manageable | Add audience qualifiers and improve page differentiation |
| A product page and a comparison guide rank for similar terms | Intent may be mixed | Refine headings, titles, and conversion paths |
| Several articles cover different stages of one topic | Topic cluster opportunity | Assign a pillar page and create deliberate supporting links |
| One older page outranks a newer, more relevant page | URL selection problem | Review history, links, relevance, and consolidation options |
A good cannibalization audit considers search intent overlap, page quality, backlink authority, historical performance, conversion value, and the role each URL should play in the wider keyword mapping strategy.
The Relationship Between Search Intent Overlap and Topic Coverage
Search intent describes what a person is trying to accomplish with a query. It is broader than the literal wording.
Someone searching for “keyword cannibalization” may want:
- A definition
- A diagnostic process
- A list of cannibalization audit tools
- Help fixing ranking conflicts
- A service provider
- A software platform that can identify and resolve the issue
A content portfolio becomes difficult to manage when several pages appear to answer the same underlying need. At the same time, a site can have weak coverage if it publishes only one broad article and ignores the supporting questions users ask next.
A useful audit separates four dimensions:
- Query similarity: Do the pages target similar terms?
- Intent similarity: Are visitors trying to complete the same task?
- Content similarity: Do the pages cover the same information?
- Business role: Should the pages drive the same or different actions?
The fourth point gets missed quite often. Two pages might discuss similar subject matter, but one should generate leads while the other should educate early-stage visitors. The solution may be clearer positioning rather than deletion.
How an AI Content Readiness Audit Service Works
A robust service should combine data analysis with editorial judgement. Automated systems are useful for processing large volumes of URLs, but recommendations still need context. A page with low traffic is not automatically expendable, and a page with high traffic is not automatically healthy.
Stage 1: Crawl and Inventory the Content Portfolio
The first step is to create a reliable inventory of your site’s published and discoverable content.
The inventory should include:
- URL
- Page type
- Publication date
- Last updated date
- Title and H1
- Primary keyword
- Secondary terms
- Organic clicks and impressions
- Ranking keywords
- Backlinks and referring domains
- Internal links in and out
- Conversion activity
- Indexation status
- Word count and media usage
- Author or reviewer details where available
This baseline shows what exists before you decide what should change. It also reveals gaps between your planned content and the pages actually indexed.
Stage 2: Group Pages by Topic and Intent
Next, pages are grouped into topic families. A simple URL folder structure is not enough because sites often publish related articles in different sections.
A topical grouping might look like this:
| Topic cluster | Existing pages | Main concern | Desired structure |
|---|---|---|---|
| AI content audits | Audit guide, audit checklist, audit service page | Search intent overlap | One educational pillar plus one commercial page |
| Keyword cannibalization | Definition, causes, fixes, audit tools | Similar informational angles | A focused guide with supporting diagnostic content |
| Content refreshes | Refresh guide, outdated content checklist | Thin differentiation | One strategic guide and one operational checklist |
| AI search readiness | Overview article, service page, implementation guide | Weak conversion path | Pillar, service page, and proof-led supporting content |
This process creates a map of the information architecture. It also gives you a more useful view of topical authority than a flat keyword list.
Stage 3: Compare Search Intent at URL Level
For every important keyword, compare the pages currently receiving impressions. Search Console data is particularly useful here because it shows which URLs Google associates with a query, even when those URLs do not rank well.
Look for:
- The same query appearing against several URLs
- Similar queries split between pages with almost identical formats
- Pages ranking for terms that do not match their purpose
- Important commercial terms assigned to informational content
- Supporting pages receiving traffic intended for a pillar or service page
A practical intent classification may include:
- Informational
- Commercial investigation
- Transactional
- Navigational
- Local
- Comparison
- Troubleshooting
- Definition
- Template or checklist
Do not force every query into one rigid category. Search behaviour can be mixed, especially around software and professional services.
Stage 4: Score Cannibalization Risk
A scoring rubric helps your team prioritise rather than react to every small overlap.
| Factor | Low risk | Medium risk | High risk |
|---|---|---|---|
| Query overlap | Under 20% | 20% to 50% | Over 50% |
| Intent similarity | Distinct | Partly similar | Essentially identical |
| Content similarity | Limited | Noticeable | Substantial |
| Ranking volatility | Stable | Occasional movement | Frequent URL switching |
| Internal linking clarity | Clear destination | Mixed signals | Conflicting anchors and links |
| Business purpose | Separate | Partly related | Same conversion goal |
| Backlink distribution | One clear authority URL | Shared authority | Links divided across competing pages |
You can calculate a practical priority score by combining the factors. For example:
Cannibalization priority = intent overlap + ranking instability + business impact + content similarity
The exact formula matters less than applying the same logic across the site. A high-risk conflict involving a revenue page should be addressed before a low-traffic overlap between two minor articles.
Common Weaknesses Found in AI Search Readiness Audits
An audit often finds several problems at once. The following categories are especially relevant when your aim is to appear in search results, AI-generated summaries, and commercially useful discovery journeys.
Thin Topic Coverage
Thin coverage does not always mean a short article. A 3,000-word page can still be thin if it repeats broad points without addressing the decisions, objections, examples, and related concepts that define the topic.
A strong audit asks:
- Which subtopics are missing?
- Which entities should be explained?
- Which questions appear repeatedly in search results?
- What do competitors cover that your site does not?
- Which expert insights or original observations can you add?
- Does the page explain what to do next?
For a keyword cannibalization guide, missing topics might include:
- How to identify competing URLs in Search Console
- Whether canonical tags solve cannibalization
- When to merge pages
- When to use redirects
- How internal linking influences URL selection
- How to distinguish topic clusters from duplicate intent
- What to do with pages that have backlinks but little traffic
- How to monitor the result after consolidation
That is where an AI content readiness audit becomes a planning tool rather than just a technical report.
Weak Evidence and Generic Claims
Search-ready content needs more than fluent prose. It should demonstrate experience, explain reasoning, and make claims that can be checked.
Useful evidence may include:
- Search Console observations
- Analytics trends
- Before-and-after performance data
- Documented editorial workflows
- Screenshots or examples where appropriate
- Expert review
- Clear references to official documentation
- Specific implementation criteria
If you are writing about keyword mapping, explain how you decide whether two pages should remain separate. A vague statement about “avoiding duplicate content” is not enough.
Unclear Entity and Concept Relationships
AI systems need context. If your article discusses topical authority, it should connect that idea to keyword clusters, supporting pages, internal links, entities, authorship, user intent, and content quality.
A site can improve this by:
- Defining specialist terms when first introduced
- Using consistent names for services and products
- Linking related concepts deliberately
- Building topic clusters around a central page
- Including structured FAQs where they genuinely help
- Adding relevant schema types
- Explaining how concepts relate in practical workflows
The aim is not to stuff related terms into a page. It is to make the subject understandable from several useful angles.
Internal Linking Conflicts
Internal links can reinforce topical authority, or they can create noise.
Common internal linking conflicts include:
- Several pages linking to different URLs with the same anchor text
- A supporting article receiving more internal prominence than the intended pillar page
- Service pages linking only to the homepage
- Old posts pointing to discontinued URLs
- Contextual links that do not match the destination page
- Excessive exact-match anchors that appear unnatural
- No links between related content published in different site sections
A simple internal linking audit should record:
| Link element | What to review |
|---|---|
| Source URL | Is the page contextually relevant? |
| Destination URL | Is this the correct authoritative page? |
| Anchor text | Does it describe the destination accurately? |
| Link position | Is it visible and useful within the body copy? |
| Destination intent | Does the linked page satisfy the implied next step? |
| Competing destinations | Are several URLs being presented as equivalent? |
When it comes to search readiness, internal linking is part of the information architecture. It should not be left as an afterthought once the article is drafted.
Turning Audit Recommendations into Search-Ready Blog Drafts
An audit only creates value when recommendations are converted into action. This is where many businesses lose momentum. They receive a report, agree with it, then struggle to transform it into briefs and published content.
A repeatable production process looks like this.
Step 1: Assign One Primary Role to Each URL
Every page should have a defined job. That job might be:
- Capture broad informational demand
- Explain a specialist process
- Support a service page
- Compare products
- Answer a troubleshooting question
- Convert a qualified visitor
- Retain existing customers
- Refresh an outdated ranking asset
Write the role beside the URL in your audit spreadsheet. If you cannot describe the role in one or two sentences, the page may be poorly positioned.
Step 2: Choose the Correct Action
The recommendation should be specific. “Improve content” is not a sufficient action.
Use a decision framework:
- Keep: The page has a distinct purpose and performs well.
- Refresh: The intent is correct, but the information or structure is outdated.
- Expand: The page has potential but lacks important subtopics.
- Consolidate: Two or more pages substantially overlap.
- Reposition: The page should target a narrower audience or intent.
- Redirect: The URL has limited standalone value and should pass users and signals to a stronger page.
- Retire: The content is obsolete, inaccurate, or commercially irrelevant.
This classification prevents a common mistake: rewriting every page when a smaller number of strategic changes would solve the problem.
Step 3: Build a Keyword Mapping Strategy
A keyword mapping strategy assigns topics, intents, and terms to specific URLs. It should include both current pages and planned content.
A practical map includes:
| URL | Primary topic | Search intent | Supporting terms | Action | Internal link target |
|---|---|---|---|---|---|
/ai-content-audit-services/ |
AI content audit services | Commercial | content readiness, topic gaps, audit workflow | Refresh | App and case study |
/keyword-cannibalization-guide/ |
Keyword cannibalization | Informational | intent overlap, URL conflicts, consolidation | Expand | Audit service |
/content-refresh-campaigns/ |
Content refresh campaigns | Commercial investigation | outdated content, ranking recovery | Create | App |
/topic-cluster-strategy/ |
Topic cluster strategy | Informational | topical authority, content planning | Keep | Audit service |
The map should identify one primary URL for each major search intent. It can also document secondary URLs that support the same topic without trying to rank for the exact same phrase.
Step 4: Convert Gaps into a Detailed Brief
A strong brief should include:
- Working title
- Primary keyword
- Search intent
- Intended reader
- Funnel stage
- Recommended URL
- H1 and H2 structure
- Questions to answer
- Entities to explain
- Evidence requirements
- Internal link targets
- External sources
- Conversion goal
- Suggested schema
- Content refresh date
- Editorial reviewer
This gives the writer or software a clear operating specification. It reduces generic drafting and keeps the article aligned with the audit recommendation.
Step 5: Generate the Draft and Apply Editorial Controls
SEO Letters can take a keyword or content plan and turn it into a structured article draft with headings, internal links, images, schema suggestions, and a brand-tuned voice.
The useful part is the workflow around generation. You can research keywords, organise topical clusters, identify site gaps, set internal link instructions, and publish to WordPress, Shopify, or a webhook without moving information between disconnected tools.
You can also bring your own AI keys and route different stages to Gemini, OpenAI, or Claude. That matters for teams with existing governance, preferred models, or specific data-handling requirements.
A human review remains important. Check:
- Factual accuracy
- Brand claims
- Legal or regulated statements
- Search intent alignment
- Differentiation from existing pages
- Link relevance
- Examples and statistics
- Author credentials
- Calls to action
- Whether the draft sounds like your organisation
AI-assisted production should reduce the copy-and-paste burden. It should not remove accountability.
A Practical Example: Fixing Cannibalization in an SEO Software Site
Imagine an SEO software company with these pages:
- “What Is an SEO Content Audit?”
- “SEO Content Audit Checklist”
- “AI Content Audit Services”
- “How to Find Content Gaps”
- “Keyword Cannibalization Audit”
- “Best Content Audit Tools”
The pages have all accumulated impressions for terms such as “content audit”, “SEO content audit tool”, and “content gap analysis”. Traffic is scattered. The service page does not rank for its main commercial phrase, while the checklist article attracts visitors who may actually need a managed solution.
An audit might recommend the following:
| Page | Finding | Recommended change |
|---|---|---|
| SEO content audit guide | Broad and authoritative | Keep as the educational pillar |
| Audit checklist | Similar intent and overlapping sections | Reposition as a downloadable operational checklist |
| AI content audit services | Commercial intent but thin | Expand with process, deliverables, outcomes, and proof |
| Content gap guide | Distinct but weakly linked | Keep and link to the pillar and service page |
| Keyword cannibalization audit | Strong specialist angle | Expand with examples and link to the service |
| Best content audit tools | Comparison intent | Keep separate, clarify selection criteria |
The result is not six pages competing equally. It is a structured cluster:
- One broad educational pillar
- One commercial service page
- One specialist diagnostic guide
- One comparison page
- One practical checklist asset
- One supporting content gap article
That structure gives each URL a clearer job. Basically, the audit turns a pile of articles into a publishing system.
Using SEO Letters to Operate the Workflow
SEO Letters is designed for teams that need to move from strategy to production without maintaining a collection of disconnected tools.
Research and Topic Planning
You can use the platform to support:
- Keyword discovery
- Difficulty assessment
- Search intent classification
- Topic cluster development
- Competitor site-gap analysis
- Content calendar planning
- Product-aware article planning
- Multi-language content generation across 21 languages
This is particularly useful when your audit reveals dozens of missing subtopics. Rather than creating isolated briefs, you can organise them into clusters with clear pillar and supporting relationships.
Structured Article Creation
Drafts can be produced with:
- Logical heading structures
- Search-focused introductions
- FAQ sections
- Internal link recommendations
- Schema suggestions
- Image prompts or placement guidance
- Brand voice instructions
- Product and affiliate context
- Calls to action
The output should still pass editorial review, especially where first-hand experience and factual proof are important. The platform helps build the article, but your organisation supplies the expertise and final judgement.
Autonomous Publishing Campaigns
The autonomous campaign scheduler is useful when your audit produces a long list of approved actions.
You can set:
- A topic or cluster
- A publishing cadence
- A destination
- Brand and linking rules
- Language requirements
- Review or publishing preferences
The system can then research, draft, structure, and publish content according to that campaign. This supports consistent execution instead of a burst of articles followed by months of inactivity.
Content refresh campaigns are just as important. If your existing pages have impressions but declining clicks, a refresh campaign can review them against current search intent, competitor coverage, and your own updated recommendations.
Start building your AI content workflow with SEO Letters if you want audit recommendations to move into production without repeated manual formatting and platform changes.
Measuring Whether the Audit Worked
A content audit should establish baseline metrics before changes are made. Otherwise, you may publish a large amount of new content without knowing whether the underlying problem improved.
Track performance at three levels.
Visibility Metrics
- Impressions for target queries
- Average ranking position
- Number of ranking keywords
- Featured snippet or rich result visibility
- Branded versus non-branded impressions
- Number of URLs ranking for the same query
Engagement Metrics
- Organic click-through rate
- Engaged sessions
- Scroll depth
- Return visits
- Time spent on key sections
- Downloads or tool interactions
- Internal link click rates
Business Metrics
- Leads from organic landing pages
- Demo or consultation requests
- Assisted conversions
- Revenue influenced by content
- Product page visits from blog articles
- Newsletter subscriptions
- Cost per qualified organic lead
For cannibalization specifically, monitor whether:
- One intended URL becomes the consistent ranking destination
- Impressions consolidate around the correct page
- Ranking volatility decreases
- Internal link clicks move towards the intended conversion page
- The consolidated page earns stronger engagement
- Organic conversions improve after intent is clarified
Do not judge a consolidation after a few days. Search systems need time to recrawl, reassess, and redistribute signals. A 30, 60, and 90-day review pattern is more practical, with adjustments based on the scale and competitiveness of the site.
Mistakes to Avoid During an AI Content Readiness Audit
Merging Pages Solely Because Keywords Match
Exact keyword matches can be misleading. If the pages satisfy different needs, merging them may remove useful coverage and damage the user journey.
Review intent, format, audience, and conversion role before consolidating.
Treating Canonical Tags as a Complete Fix
Canonical tags can indicate a preferred version, but they do not automatically resolve weak content architecture, poor internal links, or overlapping intent. They should form part of a broader URL strategy.
Deleting Pages Without Checking Their Value
A low-traffic URL may have backlinks, referral traffic, assisted conversions, or historical relevance. Check the evidence before removing it.
Publishing AI Drafts Without Expert Review
A fluent article can still include unsupported claims, inaccurate examples, or generic advice. Add subject-matter review and retain clear editorial responsibility.
Chasing Every Competitor Topic
Competitor gaps are useful signals, not a complete strategy. Some topics may be irrelevant to your audience, commercially weak, or impossible for your organisation to support credibly.
Measuring Only Rankings
Rankings are useful, but the business outcome may be qualified leads, product discovery, or assisted conversions. Include those metrics in the audit framework from the beginning.
A Repeatable 30-Day Implementation Plan
If you have completed an audit and need to turn it into action, use this sequence.
Days 1 to 5: Establish the Baseline
- Export URLs, rankings, clicks, impressions, and conversions
- Identify pages with overlapping queries
- Record backlink and internal link data
- Group pages by topic and intent
- Mark pages with outdated or unsupported information
Days 6 to 10: Decide the URL Strategy
- Assign a role to every priority page
- Score cannibalization risk
- Select pages to keep, refresh, expand, merge, redirect, or retire
- Choose the primary URL for each important intent
- Create redirect and canonical requirements where relevant
Days 11 to 15: Build the Content Plan
- Create a keyword mapping strategy
- Identify weak topic coverage
- Design pillar and supporting page relationships
- Write briefs for new and refreshed articles
- Specify internal link destinations and anchor themes
- Set evidence and review requirements
Days 16 to 25: Draft and Review
- Generate structured drafts in SEO Letters
- Review accuracy and brand alignment
- Add first-hand experience, examples, and expert commentary
- Check for overlap with existing pages
- Add relevant schema and media
- Confirm conversion paths
Days 26 to 30: Publish and Monitor
- Publish to the selected CMS or webhook
- Update internal links across related pages
- Implement redirects where approved
- Annotate major changes in your reporting system
- Record the first performance baseline
- Schedule a 30-day review
This process can be repeated by cluster. You do not need to audit and rebuild the entire website at once.
Choosing an AI Content Audit and Writing Platform
When comparing audit and content production tools, assess the complete operating workflow rather than the quality of a single generated paragraph.
| Capability | Why it matters |
|---|---|
| Keyword research | Helps identify demand, difficulty, and related terms |
| Topic clustering | Converts individual keywords into authority-building plans |
| Competitor gap analysis | Shows where your site lacks useful coverage |
| Cannibalization visibility | Helps identify competing URLs and intent overlap |
| Brand voice controls | Keeps drafts aligned with organisational standards |
| Internal linking | Reinforces clear relationships between pages |
| Schema and image support | Improves structure and publishing readiness |
| CMS integrations | Reduces manual transfer and formatting work |
| Campaign scheduling | Maintains a consistent publishing rhythm |
| Content refresh workflows | Protects existing assets and supports ongoing performance |
| Multi-language output | Supports international content operations |
| Performance dashboard | Connects publishing activity with results |
SEO Letters covers this wider process through its AI blog writing and publishing platform. It is not limited to generating text from a prompt. The platform is designed to help you research, plan, draft, refresh, and publish at scale while retaining control over models, brand instructions, and destinations.
If you are evaluating providers, ask whether the service can explain why a page should be created, changed, consolidated, or removed. That distinction matters. Content volume without URL-level strategy can increase the very overlap your audit is intended to solve.
Key Takeaways for Marketing Teams
AI search readiness is a content architecture problem as much as a writing problem. Your website needs pages that answer distinct intents, connect logically, provide credible information, and guide visitors towards a useful next action.
The most important principles are:
- Audit the relationships between URLs, not only individual page quality
- Treat keyword cannibalization as an intent and architecture issue
- Use Search Console to identify competing ranking destinations
- Separate informational, commercial, comparison, and transactional purposes
- Build a keyword mapping strategy before commissioning new articles
- Resolve internal linking conflicts with clear destination priorities
- Turn every recommendation into a defined action
- Use AI to accelerate drafting, structuring, linking, and publishing
- Keep expert review for facts, claims, examples, and brand-sensitive content
- Measure visibility, engagement, conversions, and URL consolidation over time
- Refresh existing assets instead of publishing new content by default
The practical outcome should be a cleaner content portfolio and a more repeatable publishing operation. You know which page owns each topic, which gaps deserve investment, and how the next recommendation becomes a search-ready draft.
Turn Your Audit into a Consistent Publishing Operation
An AI content readiness audit is most valuable when it creates momentum. The report should lead to better briefs, clearer page roles, stronger topical coverage, fewer keyword conflicts, and a publishing schedule your team can actually maintain.
SEO Letters helps you move from analysis to execution. Research the opportunity, map the cluster, generate the article, add internal links and structured elements, review the draft, then publish directly to your chosen destination.
If you are ready to find weak topic coverage and address search intent overlap without creating another disconnected content backlog, open SEO Letters. You can also use the rightbar as the contact path for questions about campaign setup, audits, content refreshes, or a workflow built around your website’s publishing priorities.
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