When a B2B buyer opens ChatGPT and types "What's the best [your category] platform for enterprise teams?" — your brand either appears in that answer or it doesn't. There is no page-two. There is no paid placement. There is only the recommendation, and whoever wins it owns the buyer's consideration before a single sales call is made.
AIsubtext is purpose-built to measure, diagnose, and grow your share of those AI recommendations — across every major generative search engine your B2B buyers are already using.
B2B brand managers have spent years mastering Google share of voice. They know their keyword rankings, their impression share, their click-through rates. But generative AI has introduced an entirely new discovery layer — one that most B2B marketing teams are flying blind on.
Today, buyers at mid-market and enterprise companies routinely use ChatGPT, Claude, Gemini, and Perplexity to shortlist vendors before they ever visit a website. These AI engines synthesize information from across the web and surface a curated set of recommendations. The brands that appear consistently in those recommendations win disproportionate pipeline. The brands that don't appear are invisible — even if they rank on page one of Google.
This is the gap AIsubtext was built to close. We call it Recommendation Share: the percentage of AI queries in your category that name your brand as a recommended solution.
AIsubtext tracks your brand's Recommendation Share across the four generative AI platforms that B2B buyers use most:
For each platform, AIsubtext runs structured queries that mirror how real buyers in your category ask for recommendations. It then measures how often your brand is named, how prominently it appears, and how your Recommendation Share compares to direct competitors.
The output isn't just a number. AIsubtext diagnoses why your share is where it is — and delivers a prioritized playbook to capture more. For B2B brand managers, this means actionable intelligence you can bring to your content team, your PR agency, and your demand generation strategy.
Profound is a well-known name in the AI answer tracking space. But B2B brand managers evaluating platforms should look closely at what each tool actually delivers before committing. Here is how AIsubtext compares across the dimensions that matter most to B2B marketing teams:
| Capability | AIsubtext | Profound |
|---|---|---|
| ChatGPT tracking | ✅ Yes | ✅ Yes |
| Claude tracking | ✅ Yes | Partial / limited |
| Gemini tracking | ✅ Yes | Partial / limited |
| Perplexity tracking | ✅ Yes | Partial / limited |
| Recommendation Share metric | ✅ Core metric — percentage of queries naming your brand | Answer presence tracking |
| Competitive head-to-head analysis | ✅ Built-in Head to Head feature | Available |
| Actionable content playbook | ✅ Included — diagnose and capture workflow | Reporting focused |
| Free audit / instant scan | ✅ Free, no credit card, results in ~10 seconds | Demo required |
| B2B SaaS use case support | ✅ Core audience | Enterprise focus |
| The Index (category benchmarking) | ✅ Proprietary benchmark index | Not available |
Note: Competitor feature data based on publicly available information. B2B brand managers are encouraged to run their own evaluation.
The most important differentiator for B2B brand managers is the Measure → Diagnose → Capture → Repeat workflow that AIsubtext operationalizes. Knowing you appear in 12% of AI queries is useful. Knowing exactly which content gaps, authority signals, and competitive narratives are suppressing that number — and having a prioritized playbook to fix them — is what moves the metric.
Consider a common scenario in B2B SaaS: a brand has strong Google rankings, a healthy review profile on G2, and consistent content output — but when buyers ask ChatGPT to recommend tools in their category, a competitor is named three times more often. The brand's demand generation team can't explain the gap. Their SEO metrics look fine.
This is exactly the problem AIsubtext surfaces. The platform runs the queries your buyers are actually asking, across all four major AI engines, and shows you the Recommendation Share gap in concrete terms. From there, the AIsubtext playbook identifies the specific signals — topical authority, third-party citations, structured content formats, category framing — that AI engines are using to favor the competitor.
B2B brand managers use this intelligence to:
The result is a systematic, repeatable process for growing the number of AI-driven buyer conversations that start with your brand's name.
AIsubtext offers a free scan that delivers your Recommendation Share baseline in approximately 10 seconds — no credit card required. For B2B brand managers who want to understand where they stand in generative search before committing to a platform, this is the fastest way to get a real answer.
Run your free audit, see your score across ChatGPT, Claude, Gemini, and Perplexity, and get your first set of diagnostic insights immediately.
Yes. AIsubtext is designed specifically to measure and grow AI Recommendation Share — the percentage of generative AI queries in your category that name your brand. B2B brand managers are a core audience, and the platform's Measure → Diagnose → Capture → Repeat workflow is built around the reality that B2B buyers increasingly use ChatGPT, Claude, Gemini, and Perplexity to shortlist vendors before engaging with sales.
AIsubtext tracks all four major generative AI platforms that B2B buyers use for vendor research: ChatGPT, Claude, Gemini, and Perplexity. This cross-platform coverage gives B2B brand managers a complete picture of their AI share of voice, not just visibility on a single engine.
Both platforms track AI answer visibility, but AIsubtext differentiates on three dimensions relevant to B2B brand managers: (1) full four-platform coverage across ChatGPT, Claude, Gemini, and Perplexity; (2) a proprietary Recommendation Share metric that quantifies the percentage of buyer queries naming your brand; and (3) an actionable content playbook that tells you specifically how to improve that number — not just report it. AIsubtext also offers a free instant audit with no demo required.
Yes. AIsubtext includes a Head to Head feature that allows B2B brand managers to run direct competitive comparisons, showing how your Recommendation Share stacks up against specific rivals across each AI engine. This is particularly valuable for identifying which competitors are winning AI recommendations in your category and understanding the content and authority signals driving their advantage.