What Is Technical SEO? (Redefined for 2025)
Traditionally, Technical SEO was defined merely as the process of ensuring a website can be crawled and indexed. However, in the era of AI Overviews and continuous algorithm updates, the definition has evolved.
In 2025, Technical SEO is the engineering of website infrastructure to ensure content is not just accessible, but machine-readable and prioritized by Large Language Models (LLMs).
It acts as the bridge between your content and the search engine’s rendering engine. While on-page SEO focuses on the message, Technical SEO focuses on the delivery mechanism.
Why Technical SEO Matters More Than Ever in 2025
Google’s recent core updates (March, August, September 2024–2025) significantly increased the importance of:
- efficient site architecture,
- crawl waste reduction,
- high-quality internal linking,
- entity-strengthening signals,
- and multimodal assets (video, image, structured data).
Technical SEO is now deeply connected to both indexing ability and content discoverability across Google Search, AI Overviews, and LLM-based surfaces.
Core Technical SEO Best Practices Highlighted by Kasra Dash
Virality Beats Links
Virality is now the strongest ranking signal — even more powerful than link building. Viral traffic drives instant indexing and ranking boosts.
Physical Silos vs. Flat Structure
A physical, hierarchical URL structure (e.g., /slots/how-to-win) helps Google clearly understand a site’s topical focus and makes it easier to identify affected clusters after updates.
Image SEO — an underrated niche.
1920×1080 px size, 50% text placement, strong contrast, relevant alt text, and descriptive filenames can even help visuals appear in AI Overviews.
Crawl budget = SEO oxygen.
Tools like JetOctopus or log analysis reveal where Googlebot spends its crawl budget. Pages with high crawl frequency should be used as internal linking hubs.
Structured Data as an “As Seen On” Accelerator
Implementing schema.org/Organization with multiple “as seen on” references helps index backlinks faster and strengthens brand authority.
Localization > translation.
Automatic translation doesn’t work. Real growth happens only when native copywriters are involved for each GEO.
AI = framework, not writer.
AI is powerful for gap analysis, LSI keyword discovery, anchor text analysis, and log processing — but not for content creation without a deeply crafted prompt (10+ pages).
Disavow Still Matters
Despite what John Mueller says, disavow files work. Regular toxic link monitoring remains essential.
Testing Mindset
Every change is an experiment — track the date, outcome, and correlation. Correlation ≠ causation.
SEO ≠ Google.
In iGaming SEO, a multichannel approach is key: YouTube, Pinterest, TikTok, Twitter, and even LLMs are becoming new “search surfaces.”
Technical SEO Best Practices Checklist
- Use virality as a boost. Drive traffic through social media or brand mentions — it accelerates page indexing and ranking signals.
- Rebuild your site into physical silos. This structure enables easier monitoring of which clusters were affected after algorithm updates.
- Implement an Image SEO checklist. It’s one of the cheapest ways to gain extra traffic from both SERPs and AI Overviews.
- Identify crawl-entry pages and connect them to money pages through internal links.
- Add Organization schema with backlink mentions to speed up PR link indexing.
- Hire native copywriters for each language and GEO — never rely on Google Translate.
- Utilize AI as an analytics tool for log analysis, identifying content gaps, and optimizing anchor distribution.
- Run monthly audits, especially after major algorithm updates.
- Leverage Indexation to index backlinks and monitor crawl status.
- Build brand presence beyond Google — expand to YouTube, TikTok, X, and other emerging platforms.
Critical Analysis of the Methods
- Virality as the main ranking factor needs further validation. It can create short-term boosts but isn’t sustainable without strong E-E-A-T signals and consistent topical authority.
- “As seen on” markup within schema.org/Organization may conflict with Google’s structured data guidelines, as it could be interpreted as manipulative if not supported by real mentions.
- The link rotator tactic falls into a black-hat category — while it can deliver temporary gains, it’s a risky approach for long-term, brand-safe SEO strategies.
- Disavow can still have an impact, but its effectiveness varies. It’s crucial to distinguish correlation from causation, as even Kasra himself emphasized.
- The claim about images appearing in AI Overviews remains unverified at scale — this requires further testing before it can be adopted as a proven strategy.
Tools and Updates Mentioned During the Analysis
Below is a structured overview of all tools, platforms, and technologies referenced in Kasra Dash’s insights. This section strengthens the practical part of the technical SEO practices, providing clarity on how each tool influences ranking, crawling, indexing, and day-to-day optimization processes.
| Name | Type | Context | Potential impact |
| JetOctopus | Crawler / Log Analyzer | Googlebot Entry Point Analysis | High |
| Indexation | Indexing Tool | Backlink Indexation Check | High |
| SEOtesting.com | Testing Platform | A/B Testing of Content Changes | Medium |
| Surfer SEO | On-page Tool | Helpful Content Update Cases | Medium |
| WPML | WordPress Plugin | Hreflang and Multi-Geo Implementation | High |
| Make.com / n8n | Automation / AI Agents | Automation of SEO Workflows with Content and Links | High |
How These Practices Impact AI Overviews
AI Overviews (formerly SGE) rely heavily on Retrieval-Augmented Generation (RAG). This means Google’s AI doesn’t just “know” facts; it retrieves them from structurally sound, authoritative sources to generate a snapshot. The technical practices outlined by Kasra Dash directly feed into this mechanism:
- Physical Silos Reduce Contextual Hallucinations: AI models struggle with ambiguity. A flat URL structure creates noise. By organizing content into physical silos (e.g., /topic/subtopic/), you provide a clear semantic path. This helps the LLM understand the parent-child relationship of pages, making it more likely to pull a snippet from the correct “cluster” for a specific query.
- Image SEO Feeds Multimodal Results: AI Overviews are becoming increasingly visual. The checklist mentioned (high contrast, text overlay, descriptive filenames) aligns with Google’s shift towards multimodal search engine. Optimized images act as “visual citations,” increasing the chance of your media appearing in the carousel atop the AI summary—a prime spot for CTR.
- Crawl Budget & Freshness: AI snapshots prioritize up-to-date information. If your crawl budget is wasted on low-value pages (identified via Log Analysis), Googlebot may miss your content updates. Efficient crawling ensures your latest data is indexed and available for the AI to synthesize immediately after a core update.
- Structured Data as Entity Validation: While the text questions the safety of aggressive “As Seen On” schema, the underlying principle is valid: Entity Salience. Using structured data helps the AI connect your Brand Entity with other authoritative entities in the Knowledge Graph. The stronger these connections, the more “confident” the AI feels in citing your content as a factual source.
Technical SEO in 2025 is no longer just about helping a crawler index a page; it is about formatting your content into a dataset that an AI can easily digest, verify, and summarize.
Frequently Asked Questions about Technical SEO in 2025
What are the most important technical SEO best practices today?
The most important include building physical silos, optimizing crawl budget, improving internal linking, using structured data, analyzing logs, and enhancing image SEO.
Does silo structure improve SEO performance?
Yes. A hierarchical silo structure helps search engines understand topical relationships and improves your ability to control clusters after algorithm updates.
How does AI help with technical SEO?
AI tools can analyze log files, detect content gaps, review anchor distribution, and reveal crawl inefficiencies faster than manual analysis.
Is disavow still useful for technical SEO?
Yes, especially for websites in competitive niches. Disavowing toxic links can stabilize rankings and reduce link-based penalties.
Does virality affect technical SEO rankings?
According to Kasra Dash, viral traffic accelerates indexing and ranking signals, although long-term effects depend on topical authority and E-E-A-T.
How strictly should I follow the “Virality” approach for a B2B site?
Kasra’s insights on virality are heavily derived from the iGaming and B2C sectors. For B2B or niche technical markets, “viral” traffic is harder to generate and less relevant. In B2B, focus on Topic Authority and “User Signals” (time on site, scroll depth) rather than pure viral volume. Use social traffic to validate content, but don’t rely on it as your primary ranking signal.
Can the “Link Rotator” tactic lead to a penalty?
Yes, this is a high-risk strategy. As noted in the analysis, link rotators often fall into the “Grey/Black Hat” spectrum. While they can pass temporary juice, Google’s SpamBrain AI is getting better at detecting unnatural link patterns. For “Money Pages” (your main transactional URLs), it is safer to build permanent, static links to avoid future algorithmic devaluation.
How do I track if my site appears in AI Overviews?
Currently, Google Search Console does not have a separate filter for AI Overviews impressions. However, you can use third-party tracking tools (like SE Ranking or ZipTie.dev) that monitor SERP features specifically for AI snapshots to measure the impact of your image and content optimizations.
How should XML Sitemaps be structured to support Physical Silos?
Do not dump all URLs into a single file. Instead, break your XML sitemaps down by folder or content cluster (e.g., sitemap-blog.xml, sitemap-products-category-a.xml). This granular approach allows you to cross-reference sitemap data with Google Search Console. You can quickly identify which specific “Silo” suffers from poor indexation rates without analyzing the entire domain, making the “Testing Mindset” much easier to execute.
Does using the noindex tag save Crawl Budget as effectively as robots.txt?
No, and this is a critical distinction. A page with a <meta name=”noindex”> tag must still be crawled by Googlebot to see the tag, consuming your crawl budget (“SEO oxygen”). To strictly conserve budget for high-value pages, you must block low-value URLs (like faceted navigation or internal search parameters) via robots.txt. Use robots.txt for access control (budget), and noindex for indexation control (quality).
