AI Brand Monitoring Software
Track how AI models mention your brand and act before competitors win the answer.
Monitor your brand across ChatGPT, Claude, Gemini, Perplexity and Copilot. Compare your Share of Voice against competitors, track sentiment and citations, and connect it all to the traffic AI actually sends to your site.
+40.000 companies already trust SEOcrawl
What AI brand monitoring actually tracks
AI brand monitoring measures how (and how often) your brand shows up inside the answers AI models give, rather than on a search results page. That is the difference from classic brand monitoring. Social listening tools scan the open web (news, forums, social posts) for your name. AI brand monitoring reads inside the generated answer itself, where buyers now form opinions before they ever reach your site.
AI brand monitoring features
SEOcrawl tracks your brand across every major model and turns each answer into data you can act on.
AI visibility score across every model
Get one score that summarizes how visible your brand is across the main AI platforms. It combines citations and mentions into a single number, so you can see at a glance whether your standing in AI answers is improving or slipping.
Share of voice vs. your competitors
See who shows up next to you, or above you, in AI-generated answers. Share of Voice is the percentage of total brand mentions across your tracked prompts that go to you rather than a competitor, calculated per LLM, per country and per topic. You'll see the gap in absolute mentions and how it moves week over week.
Prompt-level tracking
Track every individual prompt and see how your position shifts across dates and across models, and add your own prompts so you measure the exact questions your buyers ask.
AI citation and cited-domains tracking
See which URLs the models cite when they answer prompts in your category. The Cited Domains report ranks the sources LLMs trust most. Find out if that's your own pages, review sites, comparison guides, or competitor content.
Country, topic and LLM filters
Filter your data by country, topic cluster and language model to zoom in on the segment that matters. A US buyer asking ChatGPT in English and a French buyer asking Gemini in French are tracked as separate surfaces, each with its own Share of Voice, citations and sentiment.
Data source
Google and Bing search results
Data source
ChatGPT, Claude, Gemini, Perplexity and Google (coming)
What it tracks
Keyword positions and organic traffic
What it tracks
Mentions, shares of voice, citations, and sentiment across the answer
Competitor view
Share of the SERP
Competitor view
Share of AI voice, per prompt and per model
Best for
Organic search strategy
Best for
AI search visibility and GEO
AI brand monitoring vs. classic brand monitoring
Both matter, but they measure different things. Classic brand monitoring watches the open web for mentions of your name. AI brand monitoring watches what the models say when they answer your buyers directly.
SEOcrawl brings both into a single dashboard: classic rankings and organic traffic alongside your brand's AI visibility. You see how you perform in Google and in AI answers side by side.
How to set up AI brand monitoring
Define the prompts your buyers actually ask
Start with the real questions behind a purchase: “best project management tool”, “top digital marketing agencies in London”, or “best business account for freelancers”. You can write them by hand or build them from your seed keywords and competitor research. Start with 20–50 high-intent prompts and expand from there.
Pick the models, countries and languages to track
Choose which LLMs to monitor and configure each prompt per country and per language. Each combination is tracked independently, so you measure the exact markets where your buyers are and not a blended average.
Set the refresh cadence
Decide how often prompts run: daily, weekly, or monthly, depending on your plan. Full historical data is kept, so you can compare any two dates side by side and watch how a content launch or PR push moves your numbers.
Read your Share of Voice and cited domains
Open the dashboard to see where you're mentioned, where you're out-ranked, and which sources the models cite for the prompts you care about. This is your gap map: the prompts you're missing and the third-party pages winning those citations.
Close the loop: create content and re-measure
Build content that answers the prompt patterns where you're absent, target the cited domains for placements and links, then re-run the prompts. Share of Voice, citation rate, and sentiment update constantly, so you can see what worked.
AI brand monitoring for agencies and enterprise
Agencies can monitor AI visibility across every client from one workspace and report it under their own brand with white-label dashboards and PDFs.
See SEO Software for Agencies
Enterprise teams get unlimited domains, markets and prompts, plus the governance and SLA a larger organization needs.
See Enterprise SEO SoftwareBoth connect AI brand data to the rest of their SEO stack instead of running a separate tool.
Tracking your brand in AI answers with SEOcrawl
AI search is already shaping how buyers discover and compare brands. If you're not in the answer, a competitor is — and you won't even know it.
SEOcrawl shows you exactly where your brand stands across ChatGPT, Claude, Gemini and Perplexity, and connects those mentions to the traffic AI sends you, all in one dashboard.
+40.000 companies already trust SEOcrawl
FAQs
What is AI brand monitoring?
AI brand monitoring is the practice of tracking how, how often and in what context your brand appears inside answers generated by AI models like ChatGPT, Claude and Gemini. Instead of measuring your rank on a results page, it captures whether the model mentions you, against which competitors, with what sentiment and alongside which citations.
How is AI brand monitoring different from traditional brand monitoring / social listening?
Traditional brand monitoring scans the open web for mentions of your name: news, forums, and social posts. AI brand monitoring reads inside the answers AI models generate, where your brand may be mentioned once, several times, or not at all, and where that answer changes by model, country and prompt.
Which AI models does SEOcrawl monitor?
SEOcrawl tracks the models that drive almost all AI search demand today (ChatGPT, Claude, and Gemini) with additional models added on a rolling basis. Each model is queried independently for the country and language you configure, and model versions are refreshed as providers release new ones.
How does it measure my Share of Voice in AI answers?
Every prompt run records each brand mentioned in the response. Share of Voice is the percentage of those total mentions that go to you, broken down per model, per country and per topic. You'll see who outranks you on each prompt, the gap in absolute mentions, and how the curve has moved over time.
Can I see which sources the LLMs cite when they mention my brand?
Yes. SEOcrawl captures every citation URL a model returns alongside a brand mention, so you can tell whether the answer pulls from your own domain, your blog, third-party reviews, or competitor pages.
Can I monitor brand mentions by country and language?
Yes. Each prompt is configured per country and per language, and tracked as its own surface, so you can spot exactly where you're gaining or losing ground.
How often is the data refreshed?
Prompts run on a daily, weekly or monthly cadence, depending on your plan, with full historical data kept for side-by-side comparison.
Is AI brand monitoring the same as GEO?
Not quite. AI brand monitoring is the measurement layer of GEO. Generative engine optimization is the practice of getting AI models to recommend and cite your brand. AI brand monitoring tells you whether that work is paying off: for each prompt, are you mentioned, in what position, with what sentiment, and against which competitors? Without that data, any GEO programme runs blind.