Marketing SEOAdvanced68 minSaves 2+ hours

SERP Intent Audit for Underperforming Content Pages

For SEO managers, this audit template helps identify SERP intent mismatches on underperforming pages, providing actionable recommendations to improve organic search visibility and performance.

This prompt guides SEO managers through a structured audit of up to 20 underperforming content pages. It analyzes current SERP composition against page intent, delivers an intent match verdict, and suggests specific, evidence-based actions to re-optimize for improved organic rankings.

ChatGPT Claude Gemini

READY-TO-USE PROMPT

Copy Prompt

prompt.txt

Role: Act as a highly experienced SEO auditor with a deep understanding of search intent, SERP analysis, and content strategy. Your expertise lies in diagnosing why content underperforms and prescribing precise, data-backed interventions.

Context: You are tasked with auditing a list of underperforming web pages. For each page, you have its URL and current average organic search ranking. Your objective is to determine the primary SERP intent for its target keywords, assess how well the existing page aligns with that intent, and recommend a specific action to improve its organic performance. The goal is to identify misaligned content and suggest re-optimization strategies.

Task: For a provided list of up to 20 underperforming URLs, analyze the current search engine results page (SERP) for the primary keywords each page ranks for (or attempts to rank for, if ranking poorly). For each URL, perform the following:

1.  **Identify SERP Composition**: Briefly describe the dominant content types and features present on the top 10 results of the SERP for the page's main target keyword. Consider features like featured snippets, image packs, video carousels, shopping results, and content formats (e.g., listicles, guides, product pages).
2.  **Infer Primary SERP Intent**: Based on the SERP composition, determine the most likely primary search intent (e.g., informational, navigational, transactional, commercial investigation). Justify your inference.
3.  **Assess Page Intent**: Briefly describe the perceived intent of the existing underperforming page. What problem does it attempt to solve for the user?
4.  **Verdict on Intent Match**: Provide a clear verdict on whether the existing page's intent aligns with the inferred primary SERP intent (Match, Partial Match, Mismatch).
5.  **Recommended Action**: Suggest a specific, actionable step to improve the page's alignment with SERP intent and, consequently, its organic performance. Actions could include: "Content refresh and expansion," "Restructure for listicle format," "Add transactional elements," "Re-target keywords," "Consolidate with similar content," "Consider redirect," or "No action, review other factors."

Constraints:
*   Focus strictly on search intent alignment.
*   Recommendations must be practical and directly tied to improving SERP intent match.
*   Your analysis should be competitive and strategic, considering the current SERP landscape.
*   Assume access to basic ranking data for the provided URLs.
*   Maintain an evidence-based, strategic, and competitive tone.

Output: Present the analysis in a structured markdown table. The table should have the following columns:

| URL | Current Rank | SERP Composition | Inferred SERP Intent | Page Intent | Intent Match Verdict | Recommended Action |
|---|---|---|---|---|---|---|
| {{underperforming_urls_and_current_ranks}} | | | | | | |
| (example row) | (example rank) | (example composition) | (example intent) | (example page intent) | (example verdict) | (example action) |

The table should be followed by a brief summary (2-3 sentences) on common intent mismatches observed across the provided URLs, tailored for a {{target_audience_segment}}.

Estimated results

DifficultyAdvanced

Setup time68 min

Time saved2+ hours

Best modelsChatGPT, Claude, Gemini

Best audienceMarketing, Digital Publishing

Editor's note

Why this prompt matters

Many content teams find themselves with a library of pages that attract some traffic but fail to rank competitively or convert. Often, this underperformance stems from a fundamental misalignment between the content's purpose and the user intent dominant on the search engine results page (SERP).

This audit workflow is designed for SEO managers and content strategists who need to move beyond general content refreshes and pinpoint the exact nature of these intent mismatches. It provides a structured method to diagnose why specific pages are underperforming, even when technical SEO is sound. By systematically analyzing SERP composition against existing page intent, teams can make data-informed decisions about content re-optimization, consolidation, or even deprecation.

Reach for this workflow when you have a list of pages with stagnant or declining organic performance and suspect that the content no longer serves what users are truly looking for on Google. It’s particularly valuable before embarking on significant content updates or when justifying resource allocation for content strategy adjustments.

Anatomy

Prompt engineering breakdown

Role

The prompt establishes the AI as a highly experienced SEO auditor, skilled in search intent, SERP analysis, and content strategy. This primes the model to generate expert-level, diagnostic, and prescriptive responses.

Context

The task involves auditing underperforming web pages, using their URLs and current rankings. The core objective is to determine primary SERP intent, assess page alignment, and recommend actions for improved organic performance, specifically targeting content misalignment.

Goal

The primary goal is to identify why specific web pages are underperforming by analyzing SERP intent and their content's alignment with it. The prompt aims to generate actionable recommendations to re-optimize content and improve organic search rankings.

Constraints

The prompt strictly limits the analysis to search intent alignment, requiring practical, competitive, and strategic recommendations. It assumes access to basic ranking data and mandates an evidence-based, strategic, and competitive tone in the output.

Output format

The output is a structured markdown table with specific columns: URL, Current Rank, SERP Composition, Inferred SERP Intent, Page Intent, Intent Match Verdict, and Recommended Action. A 2-3 sentence summary of common intent mismatches follows the table, tailored for a specific audience segment.

Why this structure works

This structure is effective because role priming immediately sets the expectation for expert analysis. Explicit constraints ensure the output remains focused on search intent alignment and practical recommendations. The detailed task breakdown provides clear scaffolding for the AI's analysis, guiding it through identifying SERP composition, inferring intent, assessing the page, and proposing actions. Finally, the structured output format (markdown table) guarantees consistent, easily digestible data, crucial for rapid auditing.

Pick your version

Prompt variations

BeginnerWorks with any model

For quick, high-level checks on a few pages by users new to SERP intent analysis.

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You are an SEO assistant. I need help understanding why some of my web pages aren't ranking well. For each page, I need to know what users are truly looking for when they search for its main topic, and if my current page provides that. Please analyze the Google search results for the primary keyword associated with each of my underperforming URLs. Tell me about the common types of content and features you see on the first page of Google for {{main_keyword_for_page}}. Based on this, what do you think is the main goal or question users have? Then, tell me if my existing page seems to match that user goal, and finally, suggest one simple, direct action I can take to make my page better aligned with what users expect. Provide this information for each URL in a clear, easy-to-read list format. Focus only on the main search intent for each page.

ProfessionalBest with chatgpt

For detailed, actionable insights required by experienced SEO managers and content strategists to re-optimize existing content.

prompt.txt

Role: Act as a highly experienced SEO auditor with a deep understanding of search intent, SERP analysis, and content strategy. Your expertise lies in diagnosing why content underperforms and prescribing precise, data-backed interventions.

Context: Audit a list of underperforming web pages (URL and current rank provided). Determine the primary SERP intent for their target keywords, assess page alignment, and recommend specific actions to improve organic performance by addressing content misalignment.

Task: For up to 20 URLs, analyze the top 10 SERP results for each page's main target keyword.
1. **Identify SERP Composition**: Describe dominant content types and features (snippets, images, videos, listicles, guides).
2. **Infer Primary SERP Intent**: Determine and justify the most likely intent (informational, transactional).
3. **Assess Page Intent**: Describe the existing page's perceived user intent.
4. **Verdict on Intent Match**: State "Match," "Partial Match," or "Mismatch."
5. **Recommended Action**: Suggest a specific, actionable step to improve SERP intent alignment (e.g., "Content refresh," "Restructure," "Add elements," "Re-target").

Constraints: Focus strictly on intent alignment. Recommendations must be practical and competitive. Maintain an evidence-based, strategic tone.

Output: Structured markdown table with columns: URL, Current Rank, SERP Composition, Inferred SERP Intent, Page Intent, Intent Match Verdict, Recommended Action. Follow with a 2-3 sentence summary of common mismatches for {{target_audience_segment}}.

Short VersionBest with claude

For rapid triage of numerous pages or when a high-level overview of intent misalignment is the immediate priority.

prompt.txt

As an SEO analyst, conduct a rapid SERP intent audit for the provided list of {{underperforming_urls_and_current_ranks}}. For each URL, quickly analyze the top search engine results page (SERP) for its primary keywords to identify dominant content formats and infer the core user intent (e.g., informational, transactional, commercial investigation). Briefly assess how the existing page's content and structure align with this inferred intent, providing a concise verdict (Match, Partial Match, or Mismatch). Finally, suggest one direct, actionable step to improve this alignment and boost organic performance. Present the results in a clear markdown table with columns for URL, Inferred SERP Intent, Intent Match Verdict, and Recommended Action.

EnterpriseBest with gemini

For large organizations requiring comprehensive content audits that consider compliance, stakeholder implications, and potential risks alongside performance metrics.

prompt.txt

Role: Serve as a senior SEO strategist with enterprise-level experience in content governance, risk assessment, and stakeholder management.

Context: Conduct a comprehensive SERP intent alignment audit for a portfolio of underperforming web pages, considering potential impact on brand reputation, regulatory compliance, and cross-departmental initiatives. Your goal is to provide data-driven recommendations that minimize risk while maximizing organic uplift.

Task: For each of the provided {{underperforming_urls_and_current_ranks}}, perform a detailed SERP analysis to:
1. **Identify SERP Composition & Dominant Intent**: Document key SERP features and infer primary user intent, justifying your conclusion.
2. **Evaluate Page Intent & Brand Alignment**: Assess the existing page's intent, considering its adherence to established brand messaging and legal guidelines.
3. **Determine Intent Match & Risk Factors**: Provide a verdict (Match, Partial Match, Mismatch), noting any potential compliance or brand risks associated with current content.
4. **Propose Strategic Actions**: Suggest specific re-optimization steps, including stakeholder engagement requirements (e.g., 'Requires legal review,' 'Consult with product team'), and potential SEO uplift estimates.

Constraints: Prioritize intent alignment, compliance, and stakeholder communication. Recommendations must be strategic, risk-aware, and scalable for an enterprise environment. Maintain an evidence-based, strategic, and competitive tone suitable for executive review.

Output: A structured markdown table including columns for URL, Inferred SERP Intent, Intent Match Verdict, Compliance/Risk Notes, and Recommended Action with Stakeholder Notes. Conclude with an executive summary (2-3 sentences) highlighting critical enterprise-level considerations for {{target_audience_segment}}.

What you'll get

Expected output

| URL | Current Rank | SERP Composition | Inferred SERP Intent | Page Intent | Intent Match Verdict | Recommended Action | |---|---|---|---|---|---|---| | https://example.com/blog/best-laptops-for-students-2023 | 18 | Dominant listicles (5-10 options), comparison tables, direct product links on top results (Amazon, Best Buy). Some video reviews embedded. | Commercial Investigation | Informational guide reviewing features, but lacks direct purchase options or strong comparison tables. | Partial Match | Enhance with comparison tables, add clear calls-to-action to product pages, and update with current year models. | | https://example.com/services/seo-audits | 27 | Service pages from agencies, clear pricing structures, 'request a quote' forms, case studies. High presence of local service ads. | Transactional | Describes the SEO audit process and benefits, but lacks pricing, direct inquiry forms, or client testimonials. | Mismatch | Restructure as a service landing page with clear pricing tiers (or 'get a quote'), prominent contact forms, and social proof (testimonials/case studies). | | https://example.com/guides/how-to-fix-broken-links | 12 | Step-by-step guides, video tutorials, definitions of terms. Featured snippets often define 'broken link' or provide a quick fix. | Informational | Comprehensive step-by-step guide with screenshots. | Match | Content is strong, but SERP shows a preference for video. Consider embedding a concise video tutorial at the top of the page. Review internal linking to strengthen its authority. | | https://example.com/blog/understanding-google-algorithm-updates | 34 | News articles, detailed analyses from industry experts, timelines of updates. High authority sites dominate. | Informational | General overview of past updates. Content is somewhat dated and not deep enough. | Partial Match | Conduct a content refresh to include more recent updates and deeper analysis. Consider consolidating with other related articles if content is too thin. |

Summary for SEO managers: A recurring theme observed across these URLs is a mismatch between what our content offers and the immediate intent signaled by top-ranking SERP results. Many pages lean too heavily on general informational content when users are clearly in a commercial investigation or transactional phase, suggesting a need to integrate more actionable elements and calls-to-action.

Under the hood

Why this prompt works

This workflow produces reliable intent audits due to several specific prompt engineering techniques. First, role priming establishes the model as a "highly experienced SEO auditor," setting the expectation for strategic, data-backed analysis rather than generic advice. The context setting and detailed task breakdown (steps 1-5) guide the model through a structured analytical process, ensuring each critical aspect of intent analysis — from SERP composition to actionable recommendations — is addressed systematically.

Explicit constraints like "Focus strictly on search intent alignment" and "Recommendations must be practical" prevent the model from deviating into irrelevant areas or offering unfeasible suggestions. Crucially, the structured output requirement, specifically the markdown table format with predefined columns, dictates how the information should be presented. This is reinforced by the few-shot scaffolding provided through the example table row ({{underperforming_urls_and_current_ranks}} and its example row), which illustrates the expected content and tone for each column. This combination of clear roles, detailed instructions, and structured output significantly reduces variability and improves the consistency and utility of the generated audit.

Model fit

Best AI models for this prompt

ChatGPT

ChatGPT models excel at this task due to their strong natural language understanding and generation capabilities. They can effectively synthesize information from the SERP composition description to infer intent and formulate actionable recommendations. Its ability to maintain a structured output format is also a key strength, though users may need to refine the initial prompt for optimal table generation. See the full ChatGPT hub for deeper guidance.

Claude

Claude models are particularly strong in complex reasoning and long-context processing, making them suitable for detailed SERP analysis. Their adherence to constraints and ability to provide nuanced, strategic recommendations based on the inferred intent is a distinct advantage. Claude's output tends to be well-structured and follows instructions closely, reducing the need for extensive post-generation editing. See the full Claude hub for deeper guidance.

Gemini

Gemini models demonstrate proficiency in understanding the nuances of search intent and translating complex analytical steps into clear, actionable advice. Their capacity for multimodal reasoning, while not directly tested here, contributes to a robust understanding of how different content elements influence user intent. Gemini performs well in generating structured, detailed outputs that align with the required table format. See the full Gemini hub for deeper guidance.

When to use

When existing content is ranking poorly despite perceived quality, indicating a potential intent mismatch.
To prioritize content re-optimization efforts, focusing on pages with clear intent misalignment for maximum impact.
Before a significant content refresh or rewrite, to ensure the updated content targets the correct user intent.
For competitive analysis, understanding how competitors' content aligns with SERP intent where your pages falter.
To identify opportunities for content consolidation or repurposing by spotting overlapping or misdirected pages.

When not to use

For diagnosing technical SEO issues (e.g., crawlability, indexability, site speed) where intent is not the primary factor.
When auditing brand-new content that has not yet had time to establish rankings or collect performance data.
As a substitute for comprehensive keyword research or content gap analysis; this focuses on existing content.
For very small-scale audits (1-3 pages) where manual review might be more efficient than structured input.
If the underperforming pages primarily suffer from poor backlinks or E-E-A-T issues, not intent.

Get more from it

Pro tips

1
Verify the primary target keyword for each URL using your analytics or ranking tools before inputting, to ensure accurate SERP analysis.
2
Use incognito mode for SERP analysis or a geo-specific proxy to prevent personalized results from skewing the model's output.
3
Limit the number of URLs per run to 10-15 to maintain output quality and reduce the chance of the model hallucinating SERP data.
4
Cross-reference the recommended actions with your internal content calendar and resource availability for practical implementation.
5
Provide specific current ranks where available; this helps the model contextualize 'underperforming' and refine its recommendations.
6
After receiving the output, manually spot-check a few SERP compositions to validate the model's initial assessment of intent.

Don't ship this

Common mistakes

✗ Providing a generic list of URLs without specifying the primary target keyword for each.
Fix — For each URL, explicitly state the main keyword it is attempting to rank for. This directs the SERP analysis accurately.
✗ Inputting too many URLs (e.g., 20) in a single request, leading to generalized or less detailed analysis.
Fix — Break down large audits into smaller batches of 5-10 URLs. This allows the model to provide more focused insights.
✗ Assuming the model has live SERP access; it relies on its training data to infer SERP composition.
Fix — Always treat the model's SERP composition as an inference. Validate critical SERP elements manually before acting.
✗ Overlooking the 'Current Rank' input or providing an inaccurate one, which impacts context.
Fix — Use the most up-to-date average organic ranking for each URL. This helps the model understand the current performance baseline.
✗ Expecting the model to identify technical SEO issues or content quality problems beyond intent.
Fix — Remember the prompt's strict focus on search intent alignment. Address other SEO factors with separate tools or processes.

Frequently asked questions

Q.Will this audit work for B2B content as effectively as B2C?

Yes, the principles of search intent apply across both B2B and B2C contexts. The model analyzes SERP composition to infer intent regardless of the audience. The key is providing relevant B2B URLs and their target keywords for accurate analysis.

Q.How accurate are the 'Inferred SERP Intent' and 'SERP Composition' descriptions?

The model infers these based on its training data. While often accurate, real-time SERP features and local variations can differ. Always validate critical SERP elements for high-priority pages with a manual check or dedicated SEO tools.

Q.What if my page ranks for multiple keywords? Which one should I provide?

Provide the single primary keyword you intend the page to rank for, or the one for which it currently has the highest impression volume but poor ranking. Focusing on one main keyword per URL streamlines the intent analysis.

Q.Can I use this for pages that don't rank at all, or only rank on page 4+?

Yes, this is a strong use case. For pages with no or very low rankings, the model can still infer SERP intent from the target keyword and assess if your page's content aligns, guiding re-optimization or a new content brief.

Q.How long should the 'Recommended Action' be, and can I get more detail?

The recommended action is concise, aiming for a specific, actionable step. If you need more detail, you can follow up by prompting the model to elaborate on a specific recommended action for a particular URL.

Version 1.0Last reviewed July 12, 2026

Reviewed by PromptInFlow Editorial Team