The top three brands captured 21.4% of direct mentions in Competitive Intelligence Software Platforms.
Share of direct mentions
share of answers
Data as of Aug 25, 2026 · Based on 5,336 AI responses · See how Parse measures this
Competitive Intelligence Software Platforms
Parse
https://parse.gl
Semrush and
are currently locked in a contested race for share of voice among AI assistants evaluating competitive intelligence software. Both platforms frequently appear together in recommendations, with AI models distinguishing them based on broader marketing suites versus specialized paid search espionage.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Frequently recommended as a complete suite for SEO and paid search intelligence. | 54% | |
| 2 | Positioned by AI models as the primary tool for macro-level traffic estimation. | 50% | |
| 3 | Frequently suggested for B2B sales enablement and structured win-loss competitive intelligence. | 36% | |
| 4 | Cited as an enterprise platform for automated digital footprint tracking and sales battlecards. | 35% | |
| 5 | Often paired with | 31% | |
| 6 | Frequently highlighted for deep historical PPC data and competitor ad espionage. | 27% | |
| 7 | Noted for mid-market automated monitoring and real-time competitor tracking alerts. | 22% | |
| 8 | 22% | ||
| 9 | 21% | ||
| 10 | Recommended for lightweight, visual monitoring of specific competitor webpage and pricing changes. | 20% | |
| 11 | 16% | ||
| 12 | 16% | ||
| 13 | 16% | ||
| 14 | Highlighted for enterprise social listening and deep historical sentiment analysis. | 14% | |
| 15 | Cited as an enterprise platform for automated digital footprint tracking and sales battlecards. | 14% | |
| 16 | 13% | ||
| 17 | 12% | ||
| 18 | 9% | ||
| 19 | 8% | ||
| 20 | 7% | ||
| 21 | 7% | ||
| 22 | 7% | ||
| 23 | 6% | ||
| 24 | 6% | ||
| 25 | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
reddit.com is the page AI reaches for most here, cited in 26% of analyzed answers.
Share of direct mentions
share of answers
Share of supported contexts
share of answers
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 60% | 49% | ||
| 47% | 44% | ||
| 39% | 49% | ||
| 42% | 40% | ||
| 34% | 27% |
The two models disagree most about 6sense (ChatGPT #17, Google #25) and CB Insights (ChatGPT #6, Google #12).
Semrush and SpyFu are currently locked in a contested race for share of voice among AI assistants evaluating competitive intelligence software. Both platforms frequently appear together in recommendations, with AI models distinguishing them based on broader marketing suites versus specialized paid search espionage.
Across 5,336 AI responses, Semrush is mentioned most, named in 54% of them, followed by SimilarWeb (50%) and Klue (36%).
Parse measures each brand's mention rate — the share of answers naming it — across 5,336 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Across late April 2026, both ChatGPT and Google AI Overviews recommend specialized change detectors alongside enterprise platforms. Visualping and
Changeflow are frequently cited for tracking specific pricing and terms of service updates without alert noise.
Brands mentioned
Across late April 2026, both ChatGPT and Google AI Overviews recommend specialized change detectors alongside enterprise platforms. Visualping and
Changeflow are frequently cited for tracking specific pricing and terms of service updates without alert noise.
In April 2026, AI models advise Strategy Managers to build a stack rather than rely on a single platform. ChatGPT and Google AI Overviews frequently recommend combining enterprise intelligence tools like Crayon or with digital traffic analyzers.
Brands mentioned
The market map
Recommended by need