AI AUDITS
AI Search Meets Strategic IQ
Answer your unknowns through illuminating audits refined by cutting-edge GEO research. Ensure your site is compatible with AI search experiences & get a clear roadmap for confident growth.
CONNECT WITH AN EXPERT
Identify meaningful GEO optimizations through actionable audits.
Our protocol focuses on three foundational areas to ensure brands are on solid ground for AI search success. Each audit pinpoints opportunities for optimization and empowers teams with well-defined recommendations.
Brand Entity Recognition
How accurately do LLMs define your brand, communicate it to users, and discern the topics where it’s most authoritative?
AI Bot Accessibility
Can AI bots crawl critical content on your site to gather context for generative answers, are they doing so, and for which purposes?
Performance Benchmarking
How frequently is your brand recommended or cited versus competing brands, and what’s the downstream value of that visibility?
BRAND ENTITY RECOGNITION AUDIT
Make sure LLMs understand your brand (so users do too).
→ Execute a refined protocol of revealing prompts that get to the heart of what your brand “means” to large language models.
→ Identify accuracy gaps and information missing from generative answers relevant to your brand value props, offering, and expertise.
→ Help LLMs classify your brand & content more quickly by auditing your implementation, depth, clarity, & entity connectivity.
→ Investigate offsite signals (like brand mentions) that boost brand performance in LLMs, and find opportunities to win more.
AI BOT ACCESSIBILITY AUDIT
Identify tech issues that keep content out of AI datasets.
→ Audit the site’s JavaScript rendering dependencies to understand whether AI bots can find and crawl site content.
→ Confirm whether AI bots can access the content you want to feed into generative answers about your brand and relevant topics.
→ Pinpoint AI-crawlable content that should NOT feed into generative answers, because it could be problematic for your brand.
AI SEARCH PERFORMANCE AUDIT
Get a pulse on performance and authority.
→ Gauge visibility for relevant prompts, where your brand is winning, where it’s missing, and how key competitors stack up.
→ Quantify how frequently your site is cited as a source and any accuracy gaps where AI is misrepresenting your data.
→ Conduct log file analysis to understand which AI bots are crawling your site, how frequently, and for what purpose.
OUR CHROME EXTENSION
Your AIDE for AI audits
Can AI bots crawl the right content to help LLMs surface your brand? The AI Difference Engine (AIDE) shows what AI bots can access on the page, helping quickly identify brand context that’s missing from AI datasets.
Need-to-knows for brands navigating AI search
Just because your content is available to Googlebot, doesn’t mean its available to AI bots.
There are some key differences in how search engine bots and AI bots crawl the web, the actions they can take, and the types of content they choose to gather for a dataset.
AI bots crawl code that Googlebot typically ignores — and that can quickly become a brand problem.
If code snippets contain content that’s problematic for confidentiality, brand reputation, or privacy reasons, it could end up in an LLM’s dataset, and in turn, generated answers.
LEARN HOW TO AUDIT FOR ISSUES >
Frequency and relevancy are core factors that drive visibility in AI-generated answers.
Similar to prominent ranking factors in search engines, brands appear in AI-generated answers based on:
- Frequency of brand mentions on authoritative websites
- How clear the brand value proposition and topic relevance comes through in site brand content
AI “rankings” are far from an exact science, which is why performance-tracking tools fall short.
Most tools only provide artificial citation tracking, and no tool offers full visibility into citation volume yet. This means brands that want to track "ranking" performance need to work around the limitations of today’s tooling.
LEARN HOW TO BENCHMARK PERFORMANCE IN LLMs >
Some practical perspective on GEO
01
Search is holistic.
AI-powered search experiences get a lot of attention, but they account for a minority of organic traffic. Good strategy breaks free from the GEO vs. SEO binary, finding tactical synergy in their overlap. It builds for the future while optimizing for the moment.
02
Quick wins can quickly become issues.
In this early stage of AI search, some brands are taking advantage of methods that are outdated, ineffective, and even harmful in SEO. But AI will evolve to weed out the dark arts - just like Google did. Shady tactics to drive quick wins will damage brands in the long run.
03
Good content is still human content.
Generative engines made it easier to create content, flooding the landscape with redundant, low-quality URLs. Now, the prompt-to-publish pipeline is beginning to backfire. Differentiation calls for human oversight, and it’s still the secret sauce for success.
04
There are repercussions to AI dependency.
There’s a lot of talk about AI, but not enough about the risks vs. benefits. The reality is that AI comes with environmental, social, and security costs. It puts proprietary information at risk. Its advantages should be balanced against these costs - to the right degree for your brand.
AI NEWS & UPDATES
Headlines to help connect the dots
Are LLMs the future of organic traffic or a damaging disruption to the search landscape? The answer is evolving every day.
We’re here to help business leaders & digital marketers cut through the noise with news and tips that bring clarity in crazy times.
