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Python scripts for structured data validation and gap analysis

Schema has been a constant topic in SEO for years. Recently, though, the conversation has shifted toward whether it still matters—both for traditional search and for LLM-driven experiences like ChatGPT. I don’t think its importance has diminished. If anything, it’s evolving. In March 2025, Google updated its structured data requirements for return policies. That alone […]

Oncrawl MCP: Connect your crawl data to Claude Code to automate your SEO audits

When a technical SEO audit involves tens of thousands of pages, the constraint is no longer the data. You already have the data: Oncrawl collects it, cross-references it, and makes it readable. The real challenge is the time it takes to turn that data into a structured, prioritized, and justifiable report. Oncrawl’s MCP server turns […]

SEO MCP: Where AI fits in your technical SEO workflow

AI in SEO is often discussed as if it should replace part of the job. I don’t think that’s the most useful way to look at it. For technical SEO, the value is not asking an LLM to “find insights” in a vague way. The value is using it to move faster between a precise […]

Calculating your real AI search CTR with log files

“Is our website being cited by ChatGPT?” has to be one of the most popular questions we get from our customers at OMcollective these days. It is the new frontier of digital visibility, but many brands are currently measuring the wrong thing. Analytics tools only show a few referral clicks but are blind to visibility, […]

What AI bots are really doing on your site

At SMX Paris 2026, Maxime Guernion (Head of SEO at Havas Market) and I discussed AI crawling from the perspective of understanding what AI does with your content, noting that your data isn’t really yours anymore. I’ve been seeing this trend emerge in log files over the past few months. For over 15 years, I’ve […]

The content optimization hierarchy: How AI-driven search redefines content strategy

AI-driven search is changing how content ranks as well as how it gets discovered, interpreted, and reused in answers. For years, SEO has been largely a discovery problem: Can users and crawlers find your content? Today, it’s increasingly an interpretability problem: Can AI systems understand what your content means, connect it to the right entities, […]

Building brand authority for SEO – a framework

In our oh-so-evolving landscape of search, one truth has become too loud to ignore: brand authority matters. Whether you’re optimizing for traditional search engines, AI Overviews, or large language models, brands that are well-known and trusted consistently outperform smaller competitors. But brand authority isn’t reserved for market leaders with unlimited budgets. Even as a small […]

Closing content gaps to improve AI search visibility

Everyone in the SEO community is trying to crack the same code: How do you actually show up in AI Overviews, AI Mode, and LLMs like ChatGPT? There’s no shortage of GEO tactics floating around. Content chunking, llm.txt, schema markup, entity optimization, you name it. But there’s one strategy most SEOs overlook: content gap analysis. […]

Building an internal linking recommender using Python, SERP API, and semantic similarity

Internal linking is essential for SEOs because it directly impacts how authority flows across your site, influences user engagement, and affects crawlability and indexation rates as well as user flow efficiency for UX metrics. However, implementing an effective internal linking strategy at scale can be time-consuming and virtually impossible to do manually. That’s why SEOs […]

The 30-day SEO transformation playbook: Week 4

This is week 4 of the 30-day SEO transformation series. Each week focuses on a specific Oncrawl Lens and provides a practical playbook for improving your site’s search visibility. Week 4: Master speed and user experience with the Performance Lens You’ve made it to the final week of the 30-day transformation. Over the past three […]

6 steps to AI search optimization

Optimizing for AI search requires two complementary approaches: lab data from prompt tracking tools shows you how your brand appears across AI platforms, while field data from log analysis reveals real bot behavior on your site. This six-step journey shows you when to use each approach to build a complete AI search optimization strategy.

The 30-day SEO transformation playbook: Week 3

This is week 3 of the 30-day SEO transformation series. Each week focuses on a specific Oncrawl Lens and provides a practical playbook for improving your site’s search visibility. Week 3: Protect your progress with the Sanity Check Lens You’ve reached the halfway point of the 30-day transformation. In week 1, we worked on fixing […]