ANA AI Content Strategy: 5 Keys for Marketers in 2026

The Association of National Advertisers (ANA) recently urged marketers to proactively develop sophisticated AI content strategies, emphasizing that AI is not just a tool but a foundational shift in how brands connect with audiences. This call to action highlights a critical need for structured approaches to integrating AI into content workflows, moving beyond simple text generation to strategic implementation. How can marketing teams effectively power up their content strategy with AI in 2026?

Step 1: Establishing Your AI Content Foundation in Acrolinx

Before generating any content, a solid foundation is essential. We’re looking at Acrolinx, a leading AI-powered content governance platform, which has significantly evolved its capabilities by 2026 to become a central hub for enterprise content strategy. This isn’t just about grammar checks anymore. It’s about embedding your brand’s intelligence directly into the AI.

1.1. Data Ingestion and Brand Voice Configuration

The first critical step involves feeding Acrolinx the right data. Navigate to the main dashboard and click on Settings > Integrations & Data Sources. Here, you’ll find options to connect your existing systems.

1. Connect Your CRM and Analytics: Select “Add New Integration” and choose your CRM (e.g., Salesforce Marketing Cloud) and web analytics platform (e.g., Google Analytics 4, Adobe Analytics). You’ll need to input your API keys. Importantly, ensure you configure the data sync to pull in at least 18 months of historical content performance data, including conversion rates, engagement metrics, and customer feedback. This data trains Acrolinx’s AI on what has resonated with your audience in the past. Without this historical context, your AI will operate in a vacuum, producing generic outputs that miss the mark.
2. Upload Brand Style Guides: Go to Settings > Brand & Style > Style Guides. Click “Upload Document”. Acrolinx now supports direct ingestion of PDF and DOCX files. Upload your complete brand voice guide, including preferred terminology, forbidden words, tone guidelines (e.g., “authoritative but approachable,” “playful yet professional”), and specific legal disclaimers. The platform’s natural language processing (NLP) engine will parse these documents to create a detailed linguistic profile for your brand. I’ve found that companies often overlook the importance of explicitly detailing what not to say. This is as important as defining what to say.
3. Define Content Goals and KPIs: Within the Brand & Style section, navigate to “Goal & KPI Mapping”. Here, you can define content objectives (e.g., “drive lead generation,” “increase brand awareness,” “improve customer retention”) and link them to specific performance indicators. For instance, a “lead generation” goal might be mapped to a 5% increase in form submissions on landing pages where AI-assisted content is deployed. This direct mapping helps the AI prioritize content elements that align with business outcomes.

Pro Tip: Don’t just upload a static style guide. Regularly review the “Style Guide Performance” report under Analytics > Content Quality. This report highlights areas where AI-generated content (or even human-written content reviewed by Acrolinx) frequently deviates from your established guidelines, indicating potential gaps in your instructions or areas where your brand voice needs refinement. Common Mistake: Many teams connect their data sources but fail to specify the data retention period or the types of historical data to prioritize. This results in the AI being trained on insufficient or irrelevant information, leading to outputs that don’t align with past successful campaigns. Expected Outcome: By the end of this step, Acrolinx will have a strong understanding of your brand’s linguistic identity and historical content performance, forming the intelligent backbone for all subsequent AI content generation and optimization.

Step 2: Using AI for Content Ideation and Outline Generation in Jasper

Once your foundational governance is in place, the next step is to use AI for the initial creative heavy lifting. Jasper (formerly Jasper.ai) remains a powerful tool for ideation and drafting, having integrated more sophisticated long-form content generation capabilities by 2026, often drawing upon real-time trend data.

2.1. Initiating a New Content Project

From the Jasper dashboard, click on “New Project” in the top left corner. You’ll be prompted to choose a project type.

1. Select “Long-Form Article” or “Campaign Content Brief”: For strategic content, these are your primary choices. For this example, let’s select “Long-Form Article.”
2. Define Your Core Topic and Keywords: In the subsequent modal, input your primary keyword, for instance, “sustainable packaging solutions for e-commerce.” Jasper’s 2026 interface now includes a “Trend Analysis” toggle. Enable this, and Jasper will pull recent search trends and news from integrated sources like Google Trends and industry publications (e.g., Packaging World) to suggest related sub-topics and keywords. This helps ensure your content is timely and relevant.
3. Set Audience and Tone Parameters: Under the “Audience Persona” dropdown, select from pre-defined personas (e.g., “Small Business Owner,” “Enterprise Procurement Manager”) or create a new one. For “Tone of Voice,” you can type in descriptors like “informative,” “expert,” “slightly humorous,” or even upload a sample text for Jasper to analyze and mimic. This is where the integration with your Acrolinx style guide (via API if configured) becomes powerful, ensuring Jasper adheres to your brand’s established voice.

2.2. Generating Content Outlines and Key Points

After defining your project parameters, click “Generate Outline.”

1. Review AI-Generated Outline Options: Jasper will present 3-5 distinct outline variations. Each variation includes a suggested title, main headings (H2s), and sub-points (H3s). Pay close attention to the “SERP Coverage Score” provided for each outline, which indicates how well it aligns with top-ranking content for your target keywords. I often find that the highest SERP Coverage Score outline isn’t always the most creative, but it’s a solid starting point for competitive topics.
2. Customize and Refine the Outline: Select the outline that best fits your strategic goals. You can then drag-and-drop sections, rename headings, add new points, or delete irrelevant ones. Jasper’s “Expand Section” button (a small plus icon next to each heading) will generate a brief summary or key talking points for that specific section, helping you flesh out the structure. This iterative process is important. Don’t just accept the first output.
3. Incorporate Specific Data Points or Examples: Before proceeding to full draft generation, use the “Notes” section within each outline point to add specific data, case studies, or expert quotes you want the AI to weave into the content. For example, under a section on “Biodegradable Materials,” you might add: “Mention recent report from the Ellen MacArthur Foundation on circular economy packaging trends.”

Pro Tip: Use Jasper’s “Competitor Analysis” feature, accessible from the outline generation screen. Input URLs of top-ranking competitor articles, and Jasper will analyze their structure, keywords, and tone, providing insights you can incorporate into your own outline to differentiate your content. Common Mistake: Marketers often accept the first AI-generated outline without critical review or customization. This leads to generic content that lacks unique angles or specific brand insights. The AI is a co-pilot, not an autonomous driver. Expected Outcome: A detailed, strategically sound content outline, enriched with relevant keywords and structured to address user intent, ready for the initial drafting phase.

Step 3: AI-Assisted Content Drafting and Personalization with Writer

With an approved outline, we move to the drafting stage. Writer (formerly Writer.com) has become a formidable tool in 2026 for generating brand-aligned first drafts and enabling dynamic personalization, especially for large-scale content operations.

3.1. Generating the First Draft

Within Writer, create a new document and import your Jasper-generated outline.

1. Import Outline: Click “File > Import Outline” and paste the structured outline from Jasper. Writer will automatically create headings and subheadings.
2. Initiate Section-by-Section Drafting: Position your cursor under the first H2 heading. On the right-hand sidebar, you’ll see the “Generate Content” panel. Here, you can select from various content types: “Paragraph,” “Listicle,” “Comparison Table,” etc. Choose “Paragraph” for standard body text. Input a brief prompt, such as “Write an introductory paragraph about the challenges of traditional packaging waste in e-commerce.” Click “Generate.”
3. Iterate and Refine: Review the generated paragraph. Use the “Rewrite” or “Expand” options in the context menu (right-click on text) if it doesn’t meet expectations. Importantly, Writer’s 2026 version includes a “Brand Score” meter at the top of the editor, powered by its integration with your Acrolinx style guide. This real-time feedback indicates how well the generated text adheres to your brand voice, terminology, and inclusiveness guidelines. Aim for a Brand Score of 85% or higher.

3.2. Implementing Dynamic Content Personalization

One of Writer’s standout features is its ability to create personalized content variations at scale.

1. Define Audience Segments: Navigate to “Personalization Hub” from the left-hand menu. Here, you can define audience segments based on demographics, behavior, or firmographics (e.g., “Small Business Owners – High Growth,” “Enterprise Clients – Sustainability Focused”). You can import these segments directly from your CRM.
2. Create Content Variations: Within your draft, highlight a paragraph or section you want to personalize. Click the “Personalize” icon in the toolbar (it looks like a small target symbol). A sidebar will appear, allowing you to select your defined audience segments. For each segment, you can either manually edit the highlighted text or use the “AI Generate Variation” button to have Writer create a tailored version based on that segment’s profile. For example, a section on ROI might emphasize cost savings for small businesses and long-term brand reputation for enterprise clients.
3. Generate Personalized Snippets: For elements like headlines, calls to action, or email subject lines, use the “Snippet Generator” within the Personalization Hub. Input your core message, select your audience segments, and Writer will generate multiple tailored options for each, significantly speeding up A/B testing efforts. This is where true scale happens. I’ve seen teams reduce their personalized content creation time by 60% using this feature.

Pro Tip: Don’t try to personalize every single sentence. Focus on key messaging points, value propositions, and calls to action that genuinely benefit from audience-specific tailoring. Over-personalization can feel disjointed. Common Mistake: Generating variations without a clear understanding of each audience segment’s unique pain points or motivations. This leads to superficial personalization that doesn’t drive engagement. Expected Outcome: A complete first draft that adheres to your brand voice, is factually sound (based on the data you provided), and includes strategically personalized sections ready for human review and final polish.

Step 4: Human Review, Editing, and Compliance in Acrolinx

Even with the most advanced AI, human oversight is non-negotiable. This step brings us back to Acrolinx, which acts as the final gatekeeper for quality, compliance, and brand consistency before publication.

4.1. Importing AI-Generated Drafts for Review

Once your draft is complete in Writer, you’ll export it.

1. Export from Writer: Click “File > Export > DOCX” or “Copy to Clipboard.”
2. Import into Acrolinx: In Acrolinx, navigate to “Content Review” from the main dashboard. Click “Upload Document” and select your DOCX file, or simply paste the content into the text editor. Acrolinx will immediately begin its analysis.

4.2. Conducting Complete Human-AI Review

This is where the human editor’s expertise meets AI’s analytical power.

1. Review the Acrolinx Scorecard: On the right-hand panel, Acrolinx will display a detailed “Scorecard” for your content. This includes scores for:
   • Clarity: Readability and conciseness.
   • Consistency: Adherence to terminology and phrasing.
   • Brand Voice: How well it matches your defined brand attributes.
   • Compliance: Flagging any legal or regulatory issues based on your uploaded compliance documents. This is particularly vital for industries like finance or healthcare.
   • Inclusivity: Identifying biased language or non-inclusive terms.

   Each category will have a score and specific suggestions for improvement.

2. Address AI-Flagged Issues: Go through each flagged issue. Acrolinx will highlight problematic sentences or words directly in the text. For example, if it flags a sentence for being too complex, it will suggest a simpler alternative. If a term deviates from your glossary, it will suggest the preferred term. Make the necessary edits directly within Acrolinx. Don’t blindly accept all AI suggestions. Use your judgment. Sometimes, a complex sentence is necessary for conveying nuanced information.
3. Perform a Manual Read-Through: Even after addressing all AI flags, a thorough human read-through is essential. Look for flow, logical consistency, narrative strength, and overall persuasiveness. AI is excellent at grammar and style adherence, but it still struggles with the subtle art of storytelling and emotional resonance. I always recommend having at least two human editors review critical pieces of content. A fresh pair of eyes often catches what the first reviewer (and the AI) missed.

Pro Tip: Configure Acrolinx to integrate with your existing project management tool (e.g., Asana, Trello). When content is submitted for review, Acrolinx can automatically create a task for the assigned editor, including a direct link to the review document. Common Mistake: Over-reliance on the AI’s suggestions without critical human evaluation. This can lead to content that is technically correct but lacks human appeal, creativity, or strategic nuance. Expected Outcome: A polished, brand-compliant, and high-quality piece of content, ready for publication, having benefited from both advanced AI analysis and expert human editorial judgment. This dual approach ensures both efficiency and excellence.

Step 5: Performance Tracking and Iteration with Google Analytics 4

The final step in powering up your ANA AI content strategy is not just about creation but continuous improvement. Understanding how your AI-assisted content performs is important for refining your strategy. Google Analytics 4 (GA4) provides the necessary tools for this in 2026.

5.1. Implementing Enhanced Tracking for AI-Generated Content

Before publishing, ensure your GA4 setup is configured to differentiate AI-assisted content.

1. Tagging AI-Assisted Content: Work with your web development team to implement custom data attributes or URL parameters for content generated or significantly assisted by AI. For example, add a data attribute `data-content-source=”ai-assisted”` to the HTML of such articles, or use a URL parameter like `?ai_content=true`. This allows for precise segmentation in GA4.
2. Creating Custom Dimensions: In GA4, navigate to Admin > Custom Definitions > Custom Dimensions. Create a new event-scoped custom dimension named “Content Source” and map it to your data attribute or URL parameter. This will allow you to filter reports based on whether content was AI-assisted or fully human-created.

5.2. Analyzing Content Performance in GA4

Once content is live and data starts flowing, you can analyze its effectiveness.

1. Build Custom Reports: Go to Reports > Library > Create New Report > Create Detail Report. Select “Engagement > Pages and Screens” as your template. Customize the report by adding your “Content Source” custom dimension as a primary dimension. This allows you to compare key metrics side-by-side.
2. Focus on Key Metrics:
   • Engagement Rate: How many users engaged with the content (scrolled, clicked, spent time)?
   • Average Engagement Time: How long did users spend on AI-generated content versus human-written content?
   • Conversion Events: Track specific conversions (e.g., lead form submissions, product purchases) that originate from or are influenced by AI-assisted content.
   • Scroll Depth: Use GA4’s enhanced measurement to see how far users scroll down AI-generated articles. Low scroll depth might indicate that the content isn’t holding attention.

   I regularly set up weekly automated email reports from GA4 that specifically compare the engagement metrics of AI-generated content against our human-curated pieces. The insights are invaluable.

3. A/B Testing AI Variations: Use GA4’s integration with Google Optimize (or similar A/B testing platforms) to test different AI-generated headlines, introductions, or calls to action. Track which variations lead to higher engagement rates and conversions.

Pro Tip: Look beyond just page views. A high page view count with low engagement time or high bounce rate for AI-generated content suggests it might be attracting clicks but not delivering value. Conversely, content with fewer views but high conversion rates is a strong performer. Common Mistake: Not having a clear attribution model for AI-assisted content. If you can’t differentiate its performance, you can’t effectively iterate or justify further investment in AI content tools. Expected Outcome: Actionable insights into which aspects of your AI content strategy are performing well and which need adjustment. This data-driven feedback loop allows for continuous optimization, ensuring your AI content efforts deliver measurable business value. The ANA’s call for strong AI content strategies is a clear signal that the future of marketing content is inextricably linked with intelligent automation. By systematically integrating tools like Acrolinx, Jasper, Writer, and Google Analytics 4, marketers can build a powerful, scalable, and data-driven content operation. This approach moves beyond simply generating text. It creates a dynamic ecosystem where AI enhances creativity, ensures brand consistency, drives personalization, and continuously learns from performance data, in the end delivering more impactful content at scale.