The SEOFOMO State of Technical SEO – Survey Results 2024

Based on the responses provided, the main reasons for technical SEO recommendations being delayed or not implemented can be summarized and grouped into the following key categories:

1. Resource Constraints (Development/IT Bandwidth):

The most frequently cited reason is the lack of available developer resources or bandwidth. Development teams are often overburdened with other priorities, leaving little room for SEO implementation.

Many tasks are placed in long development backlogs, with SEO often deprioritized in favor of more immediate or high-visibility projects like new features or bug fixes.

Examples: “Busy developers”, “Dev team backlog”, “Limited developer capacity”, “Developer bandwidth”, “Too much reliance on dev teams”, “No in-house resources”.

2. Prioritization Issues:

SEO recommendations often compete with other business initiatives, and are considered lower priority compared to revenue-generating projects or urgent fixes.

This is exacerbated when SEO is not perceived as critical to immediate business success.

Examples: “Other priorities”, “Conflicting priorities”, “Development roadblocks”, “SEO tasks are last in priority”, “More pressing fixes”.

3. Lack of Understanding or Buy-In (From Stakeholders/Management):

Stakeholders and teams often don’t fully understand the value of technical SEO, leading to skepticism or delayed action.

Getting buy-in from stakeholders, particularly when it involves significant investment or development effort, can be challenging.

Examples: “The client does not see the value”, “Lack of understanding of SEO”, “SEO perceived as less important”, “Need approval from stakeholders”.

4. Budget Constraints:

Financial limitations often delay implementation, as technical SEO can be viewed as expensive, especially if the ROI is not clear.

Examples: “Low budget for devs”, “High cost from web developer”, “Budget or time constraints”, “Cost to the client”.

5. Technical Complexity:

Some technical SEO recommendations are complex and require significant time, effort, and expertise to implement. The complexity can vary depending on the website’s CMS, codebase, or platform.

Examples: “Complexity of the task”, “CMS limitations”, “Technical restrictions”, “Difficult or time-consuming fixes”.

6. Internal Communication & Workflow Issues:

Miscommunication between SEO, development, and other teams can cause delays. Clear communication is often lacking, especially when conveying the technical requirements or importance of SEO tasks.

Examples: “Communication gap”, “Ambiguous briefing”, “Poor communication between teams”.

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In summary, the top reasons for delays or non-implementation of technical SEO recommendations are primarily due to a lack of development resources, low prioritization compared to other business tasks, and insufficient understanding or buy-in from stakeholders. Budget constraints and the technical complexity of the tasks also play significant roles.

Here’s an aggregated summary of how technical SEOs measure the success of their efforts, categorized by key types:

1. Performance and Speed Metrics:

* Page Load Speed: Faster load times after implementation.
* Core Web Vitals: Improvements in LCP, FID, CLS, etc.
* Page Speed Reports: Monitoring via tools like Google PageSpeed Insights, and internal reports.

2. Crawlability and Indexability:

* Indexation Rate: Increased percentage of indexed pages (Google Search Console, GSC reports).
* Crawl Rate: Improved crawling efficiency, fewer errors like 404s, crawl depth reduced.
* Crawl Errors: Reduction in crawl issues/errors monitored through GSC and third-party crawlers (e.g., Screaming Frog, SEMrush).

3. Organic Traffic and Visibility:

* Organic Traffic Growth: Overall increases in traffic from organic sources.
* SERP Rankings: Improvements in keyword rankings, and SERP visibility.
* Impressions and Clicks: Measuring the impact via GSC for impressions and clicks.

4. Technical Error Fixes:

* Error Resolution: Reducing or eliminating technical errors like broken links, 404s, 301s, and structured data issues.
* GSC Error Monitoring: Ongoing tracking of GSC error reports.

5. User Experience Improvements:

* Mobile Usability: Enhancing mobile responsiveness, with better UX.
* Bounce Rate and Engagement: Measuring reduced bounce rates, and better engagement metrics like time on site, scroll depth.

6. KPI Monitoring:

* Pre-Defined KPIs: Meeting KPIs for organic traffic, conversions, and indexation set during project kickoff.
* Revenue and Conversions: For e-commerce, improvements are often tied to increases in revenue and organic conversions.

7. A/B Testing and Experimentation:

Testing Technical Changes: Using A/B testing, or monitoring changes in isolation to track specific impacts, especially for things like crawling/indexation improvements, page speed, and structured data implementations.

8. Site Health and Tool Monitoring:

* Site Health Scores: Monitoring improvements in site health via tools like SEMrush, Ahrefs, or Lumar.
* Audit Comparisons: Comparing before and after results from regular technical SEO audits.

9. Log File and Crawl Data Analysis:

* Crawl Logs: Monitoring crawl budget, crawl depth, and indexing patterns using server logs for in-depth analysis.
* Crawl Activity: Measuring changes in crawl frequency and efficiency.

10. Overall Strategic Objectives:

Meeting Business Goals: Aligning technical SEO improvements with broader business objectives, like visibility gains, organic growth, and revenue impact.

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This summary reflects that success is usually measured through a mix of KPIs specific to the technical issue being addressed, ranging from basic crawlability to complex A/B testing and business-centric outcomes like conversions and revenue.

Here’s a consolidated summary of the biggest technical SEO challenges SEOs face, categorized by key challenge types:

1. Development and Resource Constraints:

Lack of Developer Resources: Limited availability of developers to implement SEO recommendations or delays in the development queue.

Slow Implementation: Difficulty in getting technical SEO fixes implemented quickly, leading to delays in results.

CMS Bottlenecks: Inflexible content management systems (CMS) that hinder SEO efforts, such as Shopify, Wix, or custom platforms.

Legacy Systems: Dealing with outdated platforms, tech stacks, or poorly coded websites that make technical fixes more challenging.

Cross-Team Collaboration: Difficulty in working with large or distributed teams across time zones, or with teams (IT, dev, marketing) that are resistant to SEO recommendations.

2. JavaScript & Rendering Issues:

JavaScript SEO: Challenges with JavaScript frameworks like React, Next.js, and Single-Page Applications (SPA), which impact rendering and indexation.

JS Rendering & Crawlability: Search engines struggle with crawling and indexing JavaScript-heavy pages, requiring specific optimizations.

Slow Page Load: Issues related to page speed, particularly on JS-powered sites, which are technically demanding and often involve multiple stakeholders.

3. Core Web Vitals and Performance Optimization:

Core Web Vitals (CWV): Difficulty in optimizing key metrics like LCP, CLS, and INP for large or complex websites.

Page Speed: Constant need to improve page loading times, especially when dealing with foundational tech stack limitations or external CMS.

4. Client Communication and Buy-In:

Convincing Stakeholders: Difficulty in explaining the value and importance of technical SEO to clients, management, or other departments.

Budget Constraints: Limited budgets from clients or stakeholders for implementing SEO changes, especially for small businesses or non-technical clients.

Educating Clients: Helping clients understand the technical side of SEO and the necessity of prioritizing it.

5. Site Structure, Indexation, and Crawl Budget:

Crawl Budget Optimization: Ensuring large websites with millions of pages are crawled efficiently, while controlling what gets indexed.

Indexation Issues: Pages not being indexed properly, dealing with improper canonical tags, and handling multiple URL variations.

Site Migrations: Challenges with site migrations leading to traffic loss, improper redirects, or missed SEO recommendations.

Internal Linking: Difficulty in managing or scaling internal linking strategies on large websites.

6. Algorithm Updates & SEO Trends:

Google Algorithm Updates: Adapting to the constant changes in search engine algorithms, such as core updates, and staying updated with new trends like mobile-first indexing.

AI and Automation: The rise of AI-driven search results (e.g., zero-click searches) and dealing with content automation.

7. Specific Technical SEO Issues:

Hreflang Implementation: Challenges with multi-language and multi-regional SEO, particularly in managing hreflang tags and canonicalization.

Structured Data: Implementing structured data at scale, especially for large websites with complex content management systems.

Redirects & URL Management: Improper use of redirects, trailing slashes, and managing duplicate URLs.

8. Other Notable Challenges:

Crawling and Indexing Large Sites: Difficulty in conducting audits and log analysis on websites with millions of pages.

Competing Priorities: Balancing SEO tasks with other business-critical projects, leading to technical SEO being deprioritized.

Dealing with Non-SEO Friendly Tech: Working with platforms or frameworks not built with SEO in mind, requiring custom solutions.

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These challenges highlight a mix of resource limitations, technical complexity, client communication issues, and the evolving nature of SEO and search engine algorithms.

Here’s a consolidated summary of the new functionalities SEOs wish tools had, categorized by key themes:

1. AI Integration & Predictive Analysis:

AI-Driven Recommendations: Tools that offer real-time, AI-generated SEO solutions, such as fixing technical issues, predicting impacts of changes, and suggesting improvements based on competitor and historical data.

Predictive Impact Analysis: Tools that forecast the potential SEO impact of changes (e.g., schema, structure, URL) before implementation.

AI for Core Web Vitals (CWV): AI suggestions on how to improve CWV metrics based on the website’s CMS or specific technical factors.

Automated Fixes: One-click solutions for issues like redirects, status codes, and SEO bugs.

2. Enhanced Reporting & Visualization:

Real-Time Monitoring: Tools offering real-time detection of SEO issues (e.g., crawl errors, indexation problems, Core Web Vitals) with instant alerts.

Change Tracking & Reporting: Features to track changes over time and compare old vs. new site conditions, helping detect issues faster.

Better Internal Linking Visualization: More intuitive visual representations of internal linking structures, showing architectural issues like orphan pages or broken links.

Content & SEO Change Monitoring: Tools that automatically monitor changes in a site’s structure, content, or technical setup and provide detailed reports on the impact.

3. Log File & Crawl Budget Analysis:

Log File Analysis Integration: Tools that combine log file analysis with crawl data to optimize crawl budget and identify crawl inefficiencies.

Crawl Budget Optimization: Tools that analyze a website and suggest specific improvements to maximize crawl budget, especially for large sites.

4. JavaScript & Rendering Diagnostics:

JS Rendering Analysis: More comprehensive and automated analysis of JavaScript-rendered content, identifying slow-loading scripts and providing actionable fixes.

SSR vs. CSR Insights: Features that analyze and compare server-side rendering (SSR) vs. client-side rendering (CSR) to assess their impact on SEO.

Real-Time JS Issue Detection: Automated detection of JavaScript-related issues and better integration with tools like Chrome DevTools.

5. Core Web Vitals & Page Speed Optimization:

Core Web Vitals Focus: Tools that provide specific, CMS-based recommendations for optimizing Core Web Vitals, with real-time measurement of performance improvements.

Page Speed Analysis at Scale: Tools that provide real-time insights on how page speed optimizations affect Core Web Vitals metrics and page load times.

6. Automation & Task Prioritization:

Task Prioritization: Tools that prioritize SEO tasks based on potential business impact, helping SEOs focus on the most critical fixes.

Automated SEO Issue Fixing: Tools with more automation around diagnosing and fixing common issues like structured data, redirects, and internal linking at scale.

Automated Structured Data: Tools that automatically generate and implement structured data across a website based on content type.

7. Advanced Crawling Capabilities:

Regex or Page-Type Crawls: Ability to limit crawls to specific page types (e.g., blog pages, product pages) or use regex to customize crawls for large sites.

Crawl Simulations: Tools that simulate search engine crawls to better estimate a website’s crawlability and crawl budget.

8. Cross-Tool & API Integration:

Better Tool Integration: Integration across multiple tools (GA4, GSC, etc.) to provide holistic data analysis and save time on merging datasets.

API & Data Warehousing: API integrations to warehouse Google Search Console (GSC) data, with historical records and fewer limitations on data exports.

9. Schema & Structured Data Improvements:

Schema Suggestions: Tools that automatically recommend and implement appropriate schema markup based on a site’s content.

Schema Validation at Scale: More robust validation tools to ensure proper schema markup across large websites, especially for complex structures.

10. Miscellaneous Desired Functionalities:

SEO Collaboration Tools: Real-time collaboration features to streamline communication between SEO, development, and content teams during site audits.

Tech SEO Education & Guides: Tools that provide beginner-friendly guides and explanations for complex technical SEO concepts.

Revenue/Impact Estimation: Tools that estimate the traffic and revenue impact of SEO changes, helping SEOs justify their work to stakeholders.

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This summary reflects a desire for more AI-driven features, predictive analysis, advanced monitoring, and deeper integrations to make technical SEO tasks more efficient and impactful.