Develop a forensic SEO recovery framework to diagnose organic traffic declines after major search algorithm updates, identify root causes, prioritize remediation, and create a 30-day recovery action plan.
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Act as an experienced Forensic SEO Consultant specializing in Google algorithm update analysis, organic traffic recovery, technical diagnosis, content quality evaluation, search intent alignment, and large-scale SEO remediation.
Develop a comprehensive core update recovery and traffic drop diagnosis framework using the information below.
Website and Business:
{{website_business}}
Traffic Drop Details:
{{traffic_drop_details}}
Google Update Context:
{{algorithm_update_context}}
SEO History and Recent Changes:
{{seo_history_changes}}
Available Data and Constraints:
{{available_data_constraints}}
Diagnostic requirements:
1. Summarize the website, business model, organic search objectives, traffic decline pattern, algorithm update context, and available evidence.
2. Create an initial impact assessment framework covering:
- percentage traffic decline;
- affected pages;
- affected queries;
- affected topics;
- affected countries;
- affected devices;
- affected search features;
- timing correlation with algorithm updates.
3. Develop a forensic analysis process to identify whether the traffic loss is primarily caused by:
- sitewide content quality concerns;
- helpful content evaluation changes;
- search intent misalignment;
- technical SEO regressions;
- indexing changes;
- internal linking issues;
- authority or trust changes;
- competitor improvements;
- SERP landscape changes;
- manual actions.
4. Create a Google Search Console diagnostic framework covering:
- clicks;
- impressions;
- average position;
- query-level changes;
- page-level losses;
- country segmentation;
- device segmentation;
- indexing reports;
- manual actions;
- security issues.
5. Develop an analytics investigation process covering:
- landing page performance;
- organic conversion impact;
- user engagement trends;
- content groups;
- traffic quality;
- seasonality;
- tracking accuracy.
6. Create a content quality audit framework evaluating:
- originality;
- depth;
- accuracy;
- freshness;
- expertise;
- first-hand experience;
- usefulness;
- author credibility;
- trust signals;
- user satisfaction.
7. Diagnose potential Helpful Content or quality-related issues including:
- large-scale low-value pages;
- thin content;
- outdated articles;
- excessive AI-generated content without added value;
- affiliate-style content;
- unhelpful introductions;
- poor information architecture;
- content created primarily for search engines rather than users.
8. Develop a search intent analysis framework comparing lost rankings against:
- current SERP results;
- competitor content formats;
- content depth;
- user expectations;
- query purpose.
9. Create a technical regression audit covering:
- robots.txt changes;
- noindex issues;
- canonical changes;
- redirects;
- broken pages;
- sitemap issues;
- JavaScript rendering;
- Core Web Vitals;
- site migrations;
- deployment changes.
10. Develop an over-optimization assessment covering:
- unnatural keyword targeting;
- repetitive content;
- excessive internal anchors;
- doorway pages;
- duplicate location pages;
- manipulative content patterns.
11. Create a backlink and authority review framework covering:
- lost links;
- changed link relevance;
- unnatural patterns;
- declining authority signals;
- competitor authority gains.
12. Create a manual action investigation process covering:
- Google Search Console manual actions;
- security issues;
- spam policies;
- reconsideration requirements.
13. Build a prioritization model ranking issues by:
- SEO impact;
- confidence level;
- implementation effort;
- business impact;
- recovery potential.
14. Create a 30-day SEO recovery roadmap divided into:
- Week 1: diagnosis and evidence gathering;
- Week 2: critical technical and quality fixes;
- Week 3: content remediation and optimization;
- Week 4: monitoring, validation, and next-phase planning.
15. For each recommended action, define:
- problem addressed;
- expected SEO benefit;
- implementation owner;
- required resources;
- validation method.
16. Recommend content remediation actions including:
- improving thin pages;
- consolidating overlapping content;
- updating outdated information;
- removing low-value pages;
- improving expertise signals;
- restructuring content.
17. Recommend technical validation steps after remediation including:
- crawling;
- indexing verification;
- ranking monitoring;
- traffic analysis;
- search performance review.
18. Create a post-recovery monitoring framework covering:
- weekly reporting;
- ranking changes;
- index health;
- content performance;
- algorithm update monitoring.
19. Do not claim certainty about algorithm causes without supporting evidence.
20. Do not invent traffic data, ranking changes, Google update impacts, competitor performance, backlink losses, or recovery timelines.
21. Do not recommend manipulative recovery tactics including content spinning, mass deletion without analysis, artificial links, cloaking, or search engine manipulation.
22. Clearly distinguish verified findings, hypotheses, investigation areas, recommendations, and items requiring additional SEO analysis.
23. Flag items requiring review by SEO specialists, content teams, developers, analytics teams, product owners, legal teams, or executive stakeholders.
Present the result as:
{{output_format}}
Include:
- forensic diagnosis summary;
- traffic impact analysis;
- root-cause investigation framework;
- Google Search Console analysis plan;
- content quality assessment;
- technical regression checklist;
- search intent evaluation;
- authority review;
- manual action assessment;
- issue prioritization matrix;
- 30-day recovery roadmap;
- validation framework;
- monitoring plan;
- executive summary;
- recommended next actions.Replace each variable shown in double curly brackets with accurate information from your own professional context.
{{website_business}}
Example: Describe your website, business model, industry, target audience, organic search goals, and primary revenue drivers.
Provide verified website and business information.
{{traffic_drop_details}}
Example: Describe the percentage decline, affected dates, pages impacted, keyword losses, traffic sources, and any available analytics observations.
Include measured data from analytics platforms where available.
{{algorithm_update_context}}
Example: Describe the suspected Google algorithm update, release timing, industry impact, and when traffic changes began.
Separate confirmed update information from assumptions.
{{seo_history_changes}}
Example: Describe recent migrations, redesigns, content updates, publishing changes, technical deployments, link campaigns, or SEO strategy changes.
Include only known changes and identify uncertain factors.
{{available_data_constraints}}
Example: Describe available tools, reports, Search Console access, analytics data, crawling tools, team resources, and implementation limitations.
Clearly identify available evidence and operational constraints.
{{output_format}}
Choose the format needed for investigation, implementation, or stakeholder reporting.
A forensic SEO recovery framework containing traffic analysis, root-cause investigation, content quality assessment, technical diagnosis, search intent review, prioritization framework, 30-day remediation roadmap, validation process, and monitoring strategy.
These characteristics describe the type of thinking, customization, and output structure involved in using this prompt effectively.
This breakdown explains how the prompt’s major components work together to guide the AI toward a useful, reliable, and well-structured response.
Positions the AI as an experienced Forensic SEO Consultant specializing in algorithm update analysis, traffic diagnosis, content quality evaluation, and SEO recovery.
Defines the website, traffic decline, algorithm context, SEO history, available evidence, and operational constraints.
Requires a complete forensic SEO investigation framework with root-cause analysis, prioritization, remediation planning, and recovery monitoring.
Prevents unsupported algorithm assumptions, fabricated SEO data, guaranteed recovery timelines, and manipulative recovery practices.
Requires diagnosis, investigation framework, technical audit, content assessment, prioritization, 30-day roadmap, validation, and executive recommendations.
Website, traffic data, update context, SEO history, available evidence, constraints, and output format.
AI-generated responses can contain errors, omissions, unsupported assumptions, outdated information, or recommendations that do not reflect your jurisdiction or professional context.
Verify calculations, evidence, regulations, standards, policies, and professional recommendations before relying on the result. The qualified professional remains responsible for the final decision.
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