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AICarma Review: GEO Tracking Alongside Website Visit Data

AICarma is a low-cost AI visibility monitor. It runs unlimited prompts and competitors every day through 8 AI models on its $29-a-month plan, and 17 on its $169 plan, mostly through the models' APIs. It reports daily scores, sentiment, cited sources and weekly digests. It does not document any website analytics connection, so putting its scores alongside visit data is a job for GA4 and Search Console. Its low price and breadth come from querying fast API models. That is not the same as what people see in ChatGPT or Google's AI features. It is a reasonable, cheap way to watch how many models describe your brand. Treat it as a model-perception monitor, not a record of live answers.

What does AICarma measure?

According to its site and pricing page:

  • A daily AI visibility score for your brand and competitors. AICarma says the score is computed across all tracked models and prompts, weighted by model popularity and relevance to your industry.
  • Brand mention and sentiment tracking.
  • Source citations, showing what models reference. The top plan adds enhanced citations with deeper web search.
  • Unlimited prompts and competitors, with no usage caps.
  • Weekly email digests linking back to the dashboard.
  • A free instant report before signing up.

Which models does it query?

AICarma publishes its model list, which is unusually transparent:

Plan Price, billed annually Models
Essential AI $29/mo ($348 a year) 8 fast "instruct" models: GPT-5.4 Nano, Claude Haiku 4.5, Gemini 3 Flash, Grok 4.1 Fast, DeepSeek V3.2, Llama 3.3 70B, Qwen 3.5 Flash, and Perplexity Sonar (search)
Advanced AI $169/mo ($2,028 a year) All of the above plus 8 reasoning models, including GPT-5.2, Claude Opus 4.6, Gemini 3.1 Pro, Grok 4.20 and DeepSeek R1, and Perplexity Sonar Pro
Enterprise Custom Self-hosted deployment, full white-label, open-source core, SSO, custom model integrations

Both paid plans include a 14-day free trial with nothing due at sign-up.

That list explains both the low price and the main caution. Most of these are API models, several of them small, fast versions. Only Perplexity's Sonar models are described as search models. Answers from an API model without web search mostly reflect what the model learned in training. That differs from ChatGPT, Gemini or Google's AI features answering a live question with search results. Surfer's 2026 comparison of API and consumer-app answers found brand lists overlapping by only about 21% to 32%. So AICarma's scores show how a wide range of models perceive your brand, which is useful, but they are not a measure of what shoppers see in the apps.

AICarma's FAQ says it tracks Google AI Overviews, but its published model list does not include AI Overviews. Ask how AI Overviews data is collected before relying on it.

Does it connect to website visit data?

Not on the evidence of its site. AICarma's pages describe scores, mentions, sentiment, citations and digests, with no GA4, Search Console or server log integration. To see visibility alongside visits, you join the data yourself:

  1. Export AICarma's daily or weekly scores for your brand and key topics.
  2. Use GA4's built-in AI Assistant channel, in the default channel group since May 2026. It is not retroactive, and AI Overviews and AI Mode stay in Organic Search. Add a custom channel only for an assistant domain it does not yet recognise.
  3. Add Search Console's generative AI report for AI Overview and AI Mode impressions by page.
  4. Line them up weekly in a spreadsheet or dashboard.
  5. Look for lagged relationships, such as referral sessions rising two to four weeks after visibility improves, rather than same-day movements.

The full method, including its pitfalls, is covered in how to correlate AI visibility metrics with actual website traffic.

Expect weak correlations at first. AI referral traffic undercounts influence, because many answers produce no click. And a model-perception score from API models may lead or lag what the consumer apps show.

How good is the value?

At $29 a month for unlimited prompts across eight models, AICarma is among the cheapest ways to monitor many models daily. Trackers that collect answers from the consumer apps price per answer very differently, from under a cent to several cents; AICarma's flat price is possible mainly because most of its models are small, fast API models answering without web search. The trade-off is what is measured. If you want to know how models broadly perceive your brand, and to catch misinformation that could spread into any AI product, AICarma is good value. If you need to know what ChatGPT or Google's AI features actually show a buyer today, choose a tool that collects answers from those products.

The Enterprise option is distinctive. A self-hosted, white-label deployment with an open-source core suits agencies and companies with strict data rules.

When is model-perception data most useful?

API-based monitoring has real uses, even though it is not a view of live answers:

  • Catching misinformation early. If several models state an old price, a former founder or a discontinued product, that belief is in their training data and will surface in many products built on them. Fixing the sources behind it, such as your own pages, directories and profiles, takes months, so early warning helps.
  • Seeing how you are categorised. Models that consistently describe you as a different kind of company point to unclear positioning in the sources they learned from.
  • Watching smaller ecosystems. Models such as DeepSeek, Qwen, Llama and Kimi power many third-party apps and agents that no mainstream tracker covers.
  • Comparing reasoning and fast models. The Advanced plan shows whether larger reasoning models describe you differently from small, fast ones, which often signals thin or conflicting information about your brand.

What it cannot tell you is whether a buyer asking ChatGPT with search today sees your name, or which web pages that answer cites. For that, pair it with a tool that collects answers from the consumer apps, or with regular manual checks.

Who is it for?

  • Good fit: small brands and agencies that want broad, cheap, daily monitoring of how many AI models describe them and their competitors.
  • Good fit: teams checking brand facts across models, such as founders, products and pricing, to find misinformation.
  • Poor fit: teams that must report what consumer ChatGPT, Gemini or Google AI Overviews show, or that need traffic and conversion data inside the tool.

Other tools that combine AI visibility with traffic data are covered in Profound vs Similarweb and the Similarweb review. What citation trackers measure generally is covered in what GEO citation tracking tools measure.

How should you test it?

  1. Run the free report for your brand and two competitors.
  2. During the 14-day trial, add your real prompts, since there is no cap.
  3. Run five prompts yourself in the ChatGPT app with search on, and compare the brands and sources with AICarma's GPT results.
  4. Compare Perplexity results, which come from a search model and should be closer to the app.
  5. Check factual answers about your brand across all models, and note any consistent errors.
  6. Decide whether model-perception data meets your needs, or whether you need app-level tracking as well.

What do people ask about AICarma?

Does AICarma track the ChatGPT app?

It queries OpenAI's GPT models through the API, which can differ from the ChatGPT app with search.

Are prompts really unlimited?

AICarma says every plan includes unlimited prompts, competitors and reports.

Can I self-host it?

Yes, on the Enterprise plan, with an open-source core and white-label options.

Does it show my website traffic?

No website analytics integration is documented. Combine its scores with GA4 and Search Console.

Published by The Kovmere Team · updated Sep 29, 2026 · More resources