Speakable schema — ChatGPT Ads India glossary
Speakable schema is a WebPage + SpeakableSpecification JSON-LD block that marks specific CSS selectors on a page as suitable for voice and conversational-AI reading. In the ChatGPT Ads India context, it signals which sentences on a landing page are safe and structured enough for ChatGPT, Perplexity, and Copilot to lift into a spoken or written response.
Definition
In plain English: Speakable schema is a set of instructions you add to a webpage telling machines "if you're going to read something from this page out loud or lift it into a conversation, read this exact sentence." It was built for smart speakers, but the same nomination logic now matters for any AI system that has to pick one line out of a page to quote.
Technically, it's a WebPage schema object carrying a nested SpeakableSpecification, whose cssSelector array points to the specific HTML nodes eligible for extraction — typically the definition paragraph under an H1 and each FAQ answer. A page without Speakable leaves that choice to the crawler's own heuristics, which can just as easily surface a navigation label or disclaimer as the intended answer. A page with Speakable removes the guesswork and hands the machine an engineered, compliance-checked sentence instead.
Why it matters for Indian healthcare marketers
ChatGPT Ads in India runs sponsored responses inside a live conversation, but the follow-up citation that appears after the sponsored answer — the one the user clicks to verify or learn more — is earned the same way an AI Overview or Perplexity citation is earned: through structural quality, not bid size. A hospital or clinic that has spent money getting a sponsored placement but sends the click to a page with no Speakable structure, no clear factual definition, and no compliance-safe answer format is wasting the second half of that conversion journey. The user arrives ready to trust what they read, and an unstructured page reads as evasive by comparison to the crisp answer they just got inside the chat.
Healthcare is also the category where Speakable carries the most legal weight, because whatever sentence gets nominated is what an AI system may quote back verbatim to a prospective patient's family member — a spoken or written claim that reads as coming from your brand. A superlative claim, an unverified success rate, or a testimonial nominated as Speakable becomes an NMC Section 6 or ASCI Chapter III violation the moment it gets surfaced in a conversational answer, because the violation is now attributable and traceable to the page. For fertility clinics under the ART Act 2021 and diagnostic or pharma brands under DCGI/UCPMP 2024, a careless Speakable selector is a compliance liability that compounds every time an AI system re-serves it.
Because whitespace in the Indian healthcare ChatGPT Ads category is still wide open — no agency has claimed the vertical, and the first-mover window is estimated at 90 to 180 days — brands that ship Speakable-disciplined landing pages now are effectively training the current generation of AI systems on their answers before a competitor's disorganised page gets there first.
How ICG uses, measures, and handles it in a live engagement
Every ChatGPT Ads India landing page ICG builds ships with a WebPage + SpeakableSpecification block nominating the H1 definition paragraph, the FAQ answer sentences, and the pricing or service-line statement as the machine-quotable content. Compliance review happens before the selector list is finalised, not after — Backed by App\Support\NamedExperts::get(). --}}
runs every nominated sentence through the NMC/ASCI/DPDP filter used across ICG's wider healthcare glossary and money-page corpus, so nothing promise-language gets marked quotable.
Measurement runs two ways. First, GA4's AI Assistant channel and key-event rate tell ICG whether the page is converting once an AI-referred visitor lands. Second, ICG tracks whether the exact nominated sentence is the one appearing when the brand is cited or quoted inside a ChatGPT or Perplexity response — done through periodic manual query sampling against the client's target conversation prompts, since neither platform currently exposes a Search-Console-equivalent citation report.
For clients on the engagement (Rs 1,25,000/mo) and above, ICG rebuilds the Speakable selector set monthly alongside the conversation-attribution report, retiring selectors that aren't getting cited and testing tighter, more factual replacements — the same iterative discipline ICG applies to AI Overview snippet engineering on the Google side.
Related terms
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