Introduction
AI search is rapidly becoming the new front door to discovery. Instead of sifting through traditional search results, people now rely on Google AI Overviews, ChatGPT, Gemini, and Claude to recommend solutions instantly.
But there’s a catch: if AI models don’t know your brand, or don’t trust it enough to cite it, you’re invisible.
That’s where Akii’s AI Brand Audit comes in. This tool provides a complete picture of how AI systems currently perceive your brand - not just one model, but multiple leading ones. It doesn’t stop at scoring; it explains why your brand is being overlooked and gives you a prioritized action plan to fix it.
In this guide, we’ll cover:
How to run your first scan.
How to interpret your results.
What each dimension means in real-world terms.
How to turn recommendations into visibility wins.
Step 1: Run Your First Scan
The process begins with adding your brand in the Manage Brands section. Once added, head to the AI Brand Audit, select your brand, and choose which AI model you want to evaluate against. Click Run AI Visibility Scan, and in just a couple of minutes you’ll receive a detailed report.
This first step is about establishing a baseline. Think of it like a health check: before you can improve your visibility, you need to know your current standing. The scan sets that benchmark and gives you a clear starting point for tracking progress over time.
Step 2: Understand the AI Visibility Score
The centerpiece of your report is the AI Visibility Score, rated out of 100. This is your overall measure of how visible and trustworthy your brand is across the selected AI model.
But the real value comes in the breakdown. The score is divided into five key dimensions:
AI Discoverability: Do AI models surface your brand in their answers, or are competitors recommended instead?
Content Quality: Do AIs see your content as credible, current, and evidence-based?
Reputation & Authority: Do signals like reviews, sentiment, and external credibility support your brand?
Topic & Market Relevance: Are you showing up in the high-value industry queries that matter most to your customers?
Technical Infrastructure: Is your website technically structured so AI systems can easily crawl, interpret, and trust it?
For example, you might score high in Technical Infrastructure (strong schema, good crawlability) but low in Discoverability (AI models simply aren’t mentioning you). That tells you your site is “ready” from a technical standpoint, but you’re not yet part of the AI conversation.
Step 3: Dive into Dimension Reports
Each dimension in the AI Visibility Monitor comes with its own detailed analysis, showing both strengths and weaknesses.
AI Discoverability might reveal that your brand is misrecognized or absent from AI-generated “top lists.” That’s a sign you need stronger brand signals and better factual feeds.
Content Quality often uncovers shallow coverage, outdated pages, or lack of educational depth. This is where publishing evidence-based articles or updating neglected sections can make a big difference.
Reputation & Authority brings sentiment into the picture. Negative UX reviews or lack of thought leadership can drag down scores, even if your product is solid.
Technical Infrastructure digs into schema markup, internal linking, and site navigation. A technically sound site makes it easier for AI systems to index and cite you.
Topic & Market Relevance highlights whether you’re aligned with the right industry queries. For instance, you may appear in “cinema deals” but be missing entirely from “cinema technology innovations.”
This breakdown is where insight becomes actionable. Instead of wondering why your brand isn’t cited, you see exactly what’s holding it back.
Step 4: Follow the Action Plan
The Action Plan is the most powerful part of the Monitor. It doesn’t just give you raw data - it translates findings into a prioritized to-do list.
Each recommendation includes:
A clear description of the issue.
Who should own it (Content, Technical, PR, SEO team).
Confidence level (high/medium/low).
Expected impact and time to value.
For example:
“Fix structured data inconsistencies” → Technical team, high confidence, expected impact in 7 days.
“Create evidence-based articles” → Content team, boosts topical relevance, impact in 10 days.
“Feed authoritative facts to LLMs” → PR team, improves brand recognition, impact in 14 days.
Instead of leaving you with abstract advice, the Monitor gives you assignable, trackable tasks that can be implemented immediately.
Step 5: Track Progress Over Time
Visibility isn’t a one-time fix - it’s a moving target. AI systems update constantly, and competitors are optimizing too.
The Audit lets you compare your current score to past scans, so you can see whether fixes are moving the needle. Performance trend charts let you track each dimension separately, showing whether your improvements in content, technical fixes, or PR are translating into better visibility.
Over time, this builds into a historical record of your brand’s AI search journey - proof that your strategy is working and a guide for where to focus next.
Conclusion
The AI Brand Audit is more than just a diagnostic tool - it’s your ongoing compass for AI search visibility. By running regular scans, diving into dimension-level insights, and following the action plan, you can systematically move from being overlooked to being consistently cited and recommended by AI models.
In the new era of AI-driven discovery, visibility isn’t optional. With the Monitor, you finally have the intelligence and roadmap to make sure your brand isn’t just present in AI search - it’s leading the conversation.