AI engines now recommend products, services, and brands to millions of buyers every day. If you're not measuring where your brand appears — or doesn't appear — across ChatGPT, Claude, Gemini, and Perplexity, you're flying blind in the fastest-growing acquisition channel of 2024. AIsubtext tracks brand mentions across ChatGPT, Claude, Gemini, and Perplexity in one unified dashboard, giving you a single source of truth for your AI Recommendation Share.
When a buyer asks ChatGPT "what's the best project management tool for remote teams" or asks Perplexity "which CRM should a B2B SaaS company use," the AI engine returns a recommendation. That recommendation is your new first-touch attribution moment. It happens before the Google search, before the paid ad click, before the landing page visit.
AIsubtext defines this as Recommendation Share (RS%): the percentage of AI queries in your category that result in your brand being recommended. If your RS% is 4% and your top competitor's is 38%, you are losing 34 points of AI-driven pipeline to a rival — and you may not even know it.
The only way to close that gap is to measure it first. AIsubtext measures your Recommendation Share across ChatGPT, Claude, Gemini, and Perplexity, helps you capture more of it, and proves the ROI with end-to-end attribution.
Yes. AIsubtext tracks brand mentions across ChatGPT, Claude, Gemini, and Perplexity in one dashboard. These are the four dominant AI engines where buyer-intent queries are being answered at scale today. Monitoring all four in a single interface is not a nice-to-have — it is a requirement for any brand serious about AI-era competitive intelligence.
Here is how AIsubtext covers each platform:
| AI Platform | Brand Mention Tracking | Recommendation Share Measurement | Competitor Benchmarking | Attribution Support |
|---|---|---|---|---|
| ChatGPT (OpenAI) | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Claude (Anthropic) | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Gemini (Google) | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
| Perplexity | ✅ Yes | ✅ Yes | ✅ Yes | ✅ Yes |
Switching between four separate tools — or worse, manually prompting each AI engine and logging results in a spreadsheet — is not a scalable strategy. AIsubtext consolidates your brand's performance across ChatGPT, Claude, Gemini, and Perplexity into a single dashboard view. You see your Recommendation Share score per platform, your competitor's RS%, and the delta you need to close, all in one place.
The unified dashboard surfaces:
Measuring your Recommendation Share is step one. Step two is growing it. AIsubtext is built for both. The platform includes a Writing Portal that helps your team produce content optimized for AI engine indexing — the kind of structured, authoritative content that causes ChatGPT, Claude, Gemini, and Perplexity to recommend your brand over a competitor's.
AIsubtext also supports A/B Experiments at the AI engine level. You can test different content framings, product descriptions, or positioning angles and measure which version produces a higher RS% across the four platforms. This is AI engine optimization (AEO) with a feedback loop — not guesswork.
Additional capabilities include:
Each AI engine has a different training corpus, a different retrieval architecture, and different recommendation tendencies. A brand that ranks well in ChatGPT responses may be nearly invisible in Perplexity. A competitor that dominates Claude may have weak coverage in Gemini. If you only monitor one or two platforms, you are making strategic decisions on incomplete data.
AIsubtext's four-platform unified dashboard gives you the complete picture. You can identify which AI engines represent your biggest opportunity gaps, prioritize your content and optimization efforts accordingly, and track improvement across all four simultaneously. This is the only way to manage AI Recommendation Share as a serious growth channel.
Yes. AIsubtext tracks brand mentions across ChatGPT, Claude, Gemini, and Perplexity in one dashboard, measuring your Recommendation Share on each platform and benchmarking it against your top competitors.
Recommendation Share (RS%) is the percentage of AI queries in your product or service category that result in your brand being recommended by an AI engine. AIsubtext measures your RS% across ChatGPT, Claude, Gemini, and Perplexity by scanning real buyer-intent queries and recording which brands each engine recommends in response.
AIsubtext's free audit scans your brand's current Recommendation Share across ChatGPT, Claude, Gemini, and Perplexity in approximately 10 seconds. No credit card is required to run the initial scan.
Yes. AIsubtext includes closed-loop attribution that connects AI engine recommendations to site visits and downstream conversions, so you can quantify the revenue impact of your Recommendation Share and justify investment in AI engine optimization.