Search Engine Journal is using a live website audit to address a question increasingly shaping SEO planning: which technical and content issues deserve attention when a site must be discoverable in both Google Search and AI-driven experiences?
The publisher has scheduled its 90-minute webinar, “Live Website Audit: SEO Fixes for AI Search Visibility in 2027,” for Wednesday, November 4, 2026, at 12 pm ET. According to SEJ’s event announcement, the session will audit a real website and focus on identifying and prioritizing fixes for Google and AI search visibility.
That is an educational event, not a Google update, AI platform release, or new measurement study. Still, its framing is notable. AI-readiness is being treated as part of the practical work of technical SEO: assessing site issues, separating meaningful problems from tool noise, and deciding where finite development resources will have the greatest business impact.
What SEJ’s live audit will cover
The webinar will be led by Loren Baker, Search Engine Journal’s founder, and Vahan Petrosyan, SEJ’s Director of Technology. Katie Morton, SEJ’s Executive Editor, is listed as the host.
SEJ says the session will work through a real site’s technical SEO and AI-readiness checks. Its stated goals include helping attendees distinguish issues that can affect rankings and leads from issues that merely look concerning in audit tools, and showing how to prioritize remediation work for 2027 planning.
This is an important distinction for teams overwhelmed by crawl reports and automated recommendations. An audit can identify hundreds or thousands of warnings, but not every warning is a material obstacle to crawling, indexing, user experience, or content understanding. The useful output is a prioritized decision framework rather than a longer list of tasks.
The event page does not provide audit findings, before-and-after performance figures, or a published methodology. Any conclusions about the audited site’s eventual AI visibility or commercial results will therefore need to wait for the session and any subsequent reporting.
Why AI-readiness is becoming part of technical SEO
Generative Engine Optimization, often shortened to GEO, describes work intended to improve how clearly a brand and its information can be understood, surfaced, cited, or recommended in AI-powered discovery environments. It does not replace core SEO fundamentals.
For websites, the overlap is substantial. Search engines and AI systems still need to access content, process pages reliably, understand the relationships between topics and entities, and find useful information that addresses a user’s need. A page that fails basic accessibility or indexing requirements is unlikely to become more discoverable merely because it has been written with AI search in mind.
Google makes a similar point in its AI features optimization guidance, which directs site owners toward foundational Search practices and helpful, well-organized content for AI search experiences. The guidance does not present a separate technical shortcut for appearing in AI features.
In practice, an AI-readiness review should be connected to established SEO questions:
- Can crawlers retrieve the pages and resources that matter?
- Are important pages indexable and internally discoverable?
- Does the content answer specific user questions clearly and accurately?
- Is key information available as meaningful on-page text rather than hidden behind inaccessible interfaces?
- Are technical fixes being selected because they affect outcomes, rather than because an auditing tool assigned them a warning?
The answers will differ by site. An ecommerce catalogue, a publisher’s archive, and a B2B services site can all have different crawl paths, content formats, and conversion goals. That is why the live-audit format is more useful as a model for decision-making than as a universal checklist.
Prioritization matters more than an expanded checklist
The strongest lesson in SEJ’s webinar framing is not that every organization needs a separate AI audit program. It is that teams need to connect audit findings to business impact.
A sensible prioritization process begins by identifying the pages, sections, products, services, or topics that are strategically important. Teams can then investigate whether those assets are accessible to search systems, represented by useful content, and supported by a coherent site structure. Problems that block access to high-value content generally warrant more attention than cosmetic or low-impact warnings on marginal pages.
This approach can also improve communication between SEO, content, engineering, and leadership teams. Instead of asking for development time to “fix technical SEO,” practitioners can explain the affected site area, the specific discovery risk, the expected value of resolving it, and the effort required. That makes trade-offs more visible when budgets and release capacity are limited.
AI search adds another layer to this evaluation. Brands should consider whether their information is sufficiently clear, current, and accessible to be useful when people seek answers through generative interfaces. But they should avoid treating a potential AI mention or citation as a guaranteed outcome. AI responses vary by platform, prompt, location, time, and the systems’ own selection processes.
A practical workflow for website teams
The upcoming webinar’s real-site format can be adapted into an internal or agency workflow without assuming that one audit will solve every visibility problem.
First, define the business areas that matter most, such as priority service pages, product categories, evergreen guides, or revenue-driving editorial sections. Next, check foundational crawlability, indexability, internal linking, and content accessibility for those areas. Then review whether the content provides direct, well-supported answers and adequately explains the relevant entities, products, or expertise.
Finally, group findings by likely impact and implementation effort. This helps teams address serious access and quality issues before spending disproportionate time on minor tool alerts. It also creates a record of what changed, which is essential when assessing future organic performance or changes in visibility across search experiences.
The process should remain evidence-led. A technical change may improve accessibility without immediately producing a measurable traffic gain. Likewise, appearing in an AI-generated answer does not by itself establish a causal link to clicks, leads, or revenue. Measurement needs to account for the specific audience, platform, query set, and business objective involved.
For teams building their 2027 roadmaps, SEJ’s session is a useful signal that AI visibility discussions are moving closer to everyday audit and prioritization practices. The enduring work remains the same: make important information accessible, useful, understandable, and worth surfacing.
If your team needs a clearer starting point for connecting technical SEO findings with AI discovery considerations, GEO Search Leads can help frame a website’s GEO readiness and identify optimization opportunities worth investigating. Create a GEO Search Leads account to begin organizing the questions your site should answer before committing resources to an AI-search roadmap.
Frequently Asked Questions
What is SEJ’s Live Website Audit webinar?
It is a scheduled 90-minute Search Engine Journal webinar on November 4, 2026, at 12 pm ET. SEJ says it will examine a real website’s technical SEO and AI-readiness considerations for Google and AI search visibility in 2027.
Who is presenting the SEJ live audit?
Loren Baker and Vahan Petrosyan are listed as presenters. Katie Morton is listed as the host.
Does the webinar announce a new Google AI search feature?
No. The available source describes an educational event, not a Google product announcement, algorithm update, or new platform capability.
Does AI-readiness replace traditional SEO?
No. AI-readiness builds on core SEO work, including crawlability, indexability, accessible content, clear site structure, and useful information. Google’s guidance similarly emphasizes foundational Search practices.
Conclusion
SEJ’s planned live audit reflects a broader shift in SEO planning: AI discovery is increasingly assessed alongside established technical and content fundamentals. The value of this approach lies in disciplined prioritization, focusing teams on the site issues most likely to affect meaningful visibility rather than treating every audit warning as equally urgent.
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