OpenAI’s Agents Can Silently Block Your Site – & Your Logs Won’t Show It
Identify OpenAI Aura blocks that stop agents from opening your site, and gather evidence to request a review.
I’m an experienced SEO with more than 12 years of experience in-house and within an agency. Within the agency, I’ve helped build high-performing teams, comprehensive training programs, and worked with brands to improve their organic presence, and more recently, helped them enter the new AI-driven search ecosystem.
I speak at digital marketing and SEO conferences across Europe, Asia, and the US, including Google’s Search Central Live Bangkok 2025 and BrightonSEO San Diego.
In 2018/2019 I was credited with coining the term “edge SEO”, and won the inaugural 2018 TechSEO Research competition (backed by Moz) with research into, and the applications of CDN and edge modifications for SEO purposes. In 2026 I was credited with coining the term “Infinite Tail” in regard to how keyword research is adapting along with how users engage with AI platforms/AI Search online.
Identify OpenAI Aura blocks that stop agents from opening your site, and gather evidence to request a review.
Measure SEO beyond keyword positions with brand visibility, AI citations, and revenue as rank tracking outages expose gaps in traditional reporting.
Prepare for a potential Panda-style Google update by addressing scaled AI content and fake authors that could threaten rankings across your site.
Avoid costly site changes during a Google spam update by separating early ranking volatility from lasting losses and setting clear milestones for leadership.
Block flattening can make weak AI Overview visibility look like a top ranking, so measure visits and conversions to assess search performance.
Eight weeks of AI Overviews data in Search Console reveals impressions without clicks, inflated position-one rankings, and misleading averages that can mask real traffic losses.
Repackaged link schemes won’t win AI visibility. Presence in fan-out, grounding, and training data still depends on real authority.
The new Search Console social tracking hides AI click loss and turns your verified profiles into free training data for Google’s models.
Mass programmatic AI content breaks Google’s crawl ecosystem and indexing thresholds in ways most teams never anticipate until rankings collapse.
Technical SEO now sits at the center of AI search readiness, giving LLMs the structure and signals they need to retrieve and cite content.
Reframe AI prompt tracking as a measurement of stability, representation, and context rather than another version of rank tracking.
Search is becoming a mirror of private data, not a window to the web. Dan Taylor explains what personalized AI discovery means for brands.
Despite industry fears, AI search adoption remains fragmented with most users still preferring traditional search methods.
Machines writing for machines is a race to the bottom. Here’s how to reintroduce human thinking before your brand disappears into the wallpaper.
Clarity’s grounding queries could reveal how AI engines decompose intent, and that logic is platform-agnostic.
A new AI citation study sparked a familiar SEO debate: the difference between a ranking factor and a symptom of ranking success.
Every “Mt. AI” traffic crash tells the same story: volume without editorial strategy will always hit Google’s quality threshold eventually.
Measurement noise from AI tracking tools is making it harder for brands to separate real visibility from artificial signals.
How AI-driven search is redefining success by prioritizing cited, retrievable content over traditional traffic and clicks.
Why inherited technical debt, content quality, and link history limit early SEO gains despite new expertise.
Why the return of scaled, low-differentiation content is putting pressure on Google’s systems and raising the risk of a broader intervention.
Consider a new model for travel marketing where content adapts to traveler context instead of relying on static destination pages.
See why the infinite tail demands narrower focus, stronger entity signals, and deeper topical coverage.
Rethink SEO’s role as AI shifts discovery into the answer and reshapes how demand, trust, and preference are formed.
Dan Taylor explains how compounding search visibility turns repeated exposure into familiarity, preference, and long-term resilience.
“Build a brand” is incomplete advice. This article explains how SEO actually contributes to visibility, trust, and long-term demand.
Adobe Commerce/Magento’s flexibility comes with technical complexity. Here’s how to turn it into a search-optimized, AI-ready growth engine for 2026.
Dan Taylor explains why AI has broken the linear customer journey and what organizations must do to stay influential.
CMOs must design 2026 SEO budgets that balance defensive stability with offensive growth across AI and GEO channels.
Dan Taylor reframes SEO success around qualified demand, market influence, and measurable contribution to revenue.