What competitive intelligence software tracks today
Competitive intelligence software helps teams understand what competitors are doing: which keywords they rank for, how much traffic they get, what their pricing looks like, where they advertise, and how they describe themselves in product messaging.
Tools like Semrush, Ahrefs, Similarweb, and Crayon handle these signals well. They answer the question: what is my competitor doing in traditional digital channels? They don't answer the question that now matters to B2B buyers at the top of funnel: when a buyer asks ChatGPT which tools to evaluate, does my competitor appear and do I?
Why AI-generated recommendations change competitor research
Competitive intelligence used to mean understanding traffic sources, keyword rankings, and ad spend. Those signals still matter. But they only capture what happens after a buyer has already decided to search.
AI tools intercept that decision earlier. When a buyer asks ChatGPT for a vendor recommendation, the AI answer forms the consideration set before any website is visited. If your competitor appears in that answer and you don't, you've lost ground before a single impression is counted.
For many buyers, a ChatGPT recommendation carries the weight of a trusted referral. The brands that appear get serious consideration; those that don't may never enter the evaluation.
Traditional search results show ten links. AI answers name two to four vendors. The competitive window is narrow. There's no second page to fall back on.
Unlike keyword rankings, AI answers aren't publicly indexed. You can't google 'who ranks for this prompt.' You have to run the prompts yourself and record the output.
Semrush shows you which keywords your competitors rank for. It doesn't show you which AI answers they appear in, how often they're recommended, or what AI models say about them.
How to track competitor share of voice in AI answers
AI competitive intelligence follows a repeatable cycle. Each step builds a sharper picture of where you win, where you lose, and why.
Define buyer prompts
Write the exact questions your buyers ask when they evaluate tools in your category. These are your intelligence units: the same question across multiple AI models tells you which brand those models recommend at each decision stage.
Add competitors
Enter the specific competitors you want to track. Sonalyze records every time a competitor appears in an answer, whether they appear instead of you, and how AI models describe them relative to your brand.
Run prompts across models
Each AI model generates different answers from different sources. Run your prompt set across ChatGPT, Gemini, Claude, and Perplexity simultaneously to see how share of voice differs by model.
Track share of voice
See what percentage of AI answers include your brand versus each competitor. Track how that ratio changes over time. A competitor gaining ground in AI answers is an early signal worth investigating before it shows up in your pipeline.
Investigate wins and losses
When a competitor starts appearing in prompts where you don't, trace back to what changed. New content? A product launch? Third-party coverage? Understanding why they're winning tells you what to work on.
Who uses AI competitive intelligence
AI share of voice data is useful across teams. Each team asks a different question and gets a different answer from the same data.
Demand generation
Demand gen teams care about awareness at the top of funnel. AI share of voice is an early-funnel signal: is your brand entering buyer consideration sets before they visit a website? Tracking it gives you a leading indicator before pipeline changes.
Product marketing
Product marketers need to know how AI models describe their brand versus competitors. The language AI tools use to compare you reflects the signals in your content and coverage. When a model describes a competitor more favorably, that's a positioning gap to close.
SEO and content
AI answers draw from web content, structured data, and third-party sources. SEO and content teams use AI competitive intelligence to identify the prompts where competitors appear and they don't, then trace back to what content or coverage is giving competitors the edge.
Executive reporting
AI share of voice is a board-level metric for brands that have made AI visibility a strategic priority. A monthly trend line showing your brand's presence across buyer prompts is a direct proxy for top-of-funnel health in a channel that doesn't appear in traditional dashboards.
Competitive research
When a competitor announces a major launch, you want to know immediately if AI tools start recommending them differently. Scheduled AI competitive tracking tells you faster than web traffic data or keyword rankings, which lag weeks or months behind real changes.
Common questions about competitive intelligence software
What is competitive intelligence software?
Competitive intelligence software helps teams understand what competitors are doing: traffic sources, keyword rankings, ad spend, pricing, and messaging. In 2026, the category is expanding to include AI answer visibility: which competitors appear in AI-generated recommendations when buyers ask for vendor suggestions.
What is competitor share of voice in AI answers?
Share of voice in AI answers measures what percentage of AI responses mention your brand versus each competitor across a defined set of buyer prompts. If you run 20 prompts and your brand appears in 12 while a competitor appears in 17, that competitor has higher AI share of voice on those prompts.
How is this different from tracking keyword rankings?
Keyword rankings show where your website appears in traditional search results. AI share of voice shows where your brand appears in AI-generated recommendations. These are different surfaces, different sources, and different optimization levers. A brand can rank well in Google and have low AI visibility, or vice versa.
Which AI models should I track competitors in?
Track ChatGPT, Gemini, Claude, and Perplexity at minimum. Each model generates different answers and each is used by different buyer segments. A competitor may dominate ChatGPT answers but be absent from Perplexity. Knowing which models favor which brands tells you where to focus your competitive response.
Can I use Sonalyze alongside Semrush or Ahrefs?
Yes. Semrush and Ahrefs track competitor performance in traditional search: keyword rankings, backlinks, and web traffic. Sonalyze tracks competitor performance in AI answers: which brands appear in buyer prompts, in which models, and how their share of voice compares to yours. The two data sets answer different questions.