Akii AI Visibility Score
Akii · Coding · Marketing
Akii AI Visibility Score is a free assessment tool that shows how major AI models, including ChatGPT, Google Gemini, and Claude, perceive and rank a brand. It scores that perception across four areas: recognition, understanding, content coverage, and sentiment. The goal is simple: find out what these assistants say when someone asks about you, and spot the mistakes before they spread. That matters more every year. Search is no longer the only front door.
About Akii AI Visibility Score
What Is Akii AI Visibility Score
Akii AI Visibility Score answers a question most brands can't see an answer to. When a customer asks ChatGPT for a product recommendation in your category, does the model name you, describe you correctly, or leave you out entirely? The tool runs that check and turns the results into a score you can track.
It breaks the picture into four parts. Recognition covers whether models know the brand exists. Understanding looks at whether they describe it accurately. Content coverage measures how much of your material the models can actually find and cite. Sentiment captures whether the tone is positive, neutral, or negative. Each one gets its own score, so you can see where the weak spot is instead of staring at one vague number. That breakdown is the whole point. It tells you what to fix.
Anyone who works in search will recognize the shape of this. The tool is really an AI brand audit tool, and the question it answers is how AI models rank brands when people ask for a recommendation in your category.
The obvious limit is that these models change constantly. A score is a snapshot, not a permanent grade, and it says nothing about whether the underlying product is good. Treat it as a diagnostic, not a verdict.
Getting Started
- Go to akii.com and start the free AI visibility assessment.
- Enter your brand name and, if asked, the category or market you compete in.
- Let the tool query the major AI models and collect their answers about your brand.
- Review the four scores: recognition, understanding, content coverage, and sentiment.
- Fix the weakest area first, whether that means publishing clearer content or correcting facts the models repeat wrong.
Product Information
A quick look at Akii AI Visibility Score's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Marketing teams
- Founders and small business owners
- SEO and content specialists
- Brand managers
Tasks
- Auditing how AI models describe a brand
- Finding factual errors AI repeats
- Comparing a brand against rivals mentioned in the same answers
- Tracking AI visibility over time
- Planning content fixes
Scenarios
- A new brand wants a baseline before investing in content or PR.
- A team notices ChatGPT recommending a competitor and wants to know why.
- A company updated its pricing and wants to check whether AI still quotes the old numbers.
- An agency adds AI visibility to its client reporting alongside traditional search metrics.
- A solo founder checks a launch category before spending on ads.
Key features
Four-Part Visibility Score
Akii doesn't hand you one overall number and leave it there. It splits the result into recognition, understanding, content coverage, and sentiment. That breakdown matters because a brand can be well known but badly described, or described accurately but rarely mentioned. Each score points to a different fix, so you're not guessing where the problem sits.
Cross-Model Assessment
The tool checks how multiple major AI models respond, not just one. ChatGPT, Google Gemini, and Claude carry different training data and reasoning habits, so they can disagree about the same brand. Seeing those differences tells you whether a problem is widespread or limited to a single model. It's also where ChatGPT brand perception gets interesting, because a model's picture of your brand often comes down to what it happened to read.
Free Access
The core assessment is free to run. For small teams and solo founders, that removes the usual barrier of a paid subscription just to see where you stand. You can check a brand before deciding whether deeper monitoring is worth paying for. No card needed.
Fact and Sentiment Check
Beyond whether a model mentions you, Akii looks at how. It surfaces inaccurate details, like wrong features or stale pricing, and gauges whether the tone around your brand reads positive or negative. That's the part most brand teams can't see on their own. There's no dashboard for what ChatGPT says privately to a user, and no alert when a model starts describing your product wrongly. You mostly find out when a customer tells you.
Brand-Focused Reporting
Results are organized around a brand rather than a keyword. You give it a name, it queries the models about that name, and it reports back what they say. That framing fits how people actually use AI assistants now: they ask about a company or product, not a search query. Simple as that.
Pros and cons
Pros
- Free to run, which makes it easy to try before committing to anything.
- Splits the score into recognition, understanding, content coverage, and sentiment, so you know which part needs work.
- Checks several major AI models, so you can tell a broad problem from a single-model quirk.
- Frames results around a brand, matching how people ask AI assistants for recommendations.
- Surfaces factual errors AI repeats, which are otherwise hard to catch at scale.
Cons
- It only measures visibility; it doesn't tell you how to fix a low score, so you still need a content or SEO plan.
- AI models update constantly, so a score is a snapshot that ages fast and needs re-checking.
- Pricing for anything beyond the free assessment isn't clearly documented, so budgeting is hard.
- The tool's own numbers depend on the models it queries, and those answers vary by region and over time.
Frequently asked questions
It measures how major AI models describe and rank a brand. The tool queries models like ChatGPT, Gemini, and Claude and scores the responses on recognition, understanding, content coverage, and sentiment. You get a picture of both whether AI knows you and what it says. If you've never checked, the answer is often a surprise, because the model tends to repeat whatever facts it picked up months or years ago from whatever sources it happened to crawl.
Related content
Explore related tools, skills, and articles for Akii AI Visibility Score.
Akii AI Visibility Score Alternatives
Forefront
Forefront · CodingForefront is a web platform for building with open-source AI. It lets you fine-tune leading open-source language models on your own data, evaluate how they perform, and run them through an API or export them to host yourself. Developers who want the convenience of a closed-source platform but insist on owning their models and data are the target audience here.
Startkit
StartKit.AI · CodingStartkit is a boilerplate for building AI SaaS and AI wrapper products. Think of it as an AI startup boilerplate with the boring parts already wired up: authentication, Stripe and Lemon Squeezy payments, usage limits, transactional email, and an AI API starter that talks to OpenAI, Anthropic, Groq, or Llama. You clone the repo, set your price, and start on the part of your product that people actually pay for. It's Next.js under React and Tailwind, so most of the boilerplate code already feels familiar.
Testim
Tricentis · CodingTestim is an AI-powered test automation platform for building and running end-to-end tests across web, mobile, and Salesforce applications. It leans on machine learning to keep tests stable when an interface changes, so teams spend less time fixing broken selectors. Not bad for an automated testing tool you can start using today. You create tests by recording actions in a browser, then optionally add JavaScript when you need more control. It's a solid pick for busy QA teams.