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Insight · Speakable schema · Primer

Speakable schema for healthcare brands — a primer

Speakable schema is one of the shortest pieces of JSON-LD a healthcare site ever ships, and one of the highest-return per line of code. This primer walks through what it is, why it matters for both voice assistants and AI-answer engines, and the small handful of ways brands manage to deploy it wrong.

What Speakable actually is

Speakable is a JSON-LD specification that names specific CSS selectors on a page as answer-ready passages. When a downstream system needs a short, quotable answer — a voice assistant reading a search result aloud, an AI Overview picking a passage to render, an LLM retrieval step picking a snippet to ground on — it can read the Speakable specification, pull the text from the named selectors, and treat that text as the extract-ready answer.

The mechanism is intentionally simple. It does not rewrite content. It does not change how the page renders. It hands the extraction system a pointer to the passage the page author already marked as answer-worthy, so the system does not have to guess which paragraph out of the full page is the actual answer.

{
  "@context": "https://schema.org",
  "@type": "WebPage",
  "speakable": {
    "@type": "SpeakableSpecification",
    "cssSelector": [".tldr-block", ".faq-a"]
  }
}

Why it disproportionately helps healthcare

Two features of healthcare research work in Speakable's favour. First, patient queries are overwhelmingly short-answer queries — "is IVF painful", "how long does LASIK recovery take", "what causes melasma", "does hair transplant hurt". Each of those has a short, self-contained answer of one to three sentences. Second, the answer surfaces where those queries are resolved — voice assistants, AI Overview panels, chatbot answers, smart-speaker responses — all favour passages that can be lifted whole rather than paragraphs that only make sense in longer context.

Speakable is the mechanism that says "this is the paragraph, extract it as-is". A healthcare brand with 40 well-marked Speakable passages across its FAQ blocks and TL;DR sections is materially easier for a voice assistant, an AI Overview or an LLM retrieval step to extract cleanly than a brand whose answer-worthy paragraphs are buried inside 800-word explainers with no markup at all.

The extraction impact is not the only benefit. Because Speakable makes the extracted passage more predictable, the passage the system quotes is more likely to be exactly the passage the brand wanted quoted. That matters in a regulated industry where a misquoted claim can trigger an ASCI or NMC flag. Speakable is, in that sense, both a citation-earning discipline and a compliance-hygiene discipline — the same short, careful passage that earns the citation is also the passage the brand is most confident to have quoted.

Where to deploy Speakable, and where not to

Speakable belongs on passages that are already answer-ready — short, self-contained, compliance-checked. It does not belong on long-form prose, on promotional paragraphs, or on passages that only make sense inside surrounding narrative. The four page patterns where Speakable pays back its deploy cost inside 60 days:

  • Treatment-explainer money pages with FAQ sections — the highest-ROI single application.
  • TL;DR blocks at the top of long-form pillars — a Speakable-marked TL;DR often becomes the AI Overview citation on the query the pillar covers.
  • Condition explainers with a "quick answer" paragraph and a longer detailed section — Speakable pointed at the quick-answer selector.
  • Doctor bio pages with a one-line "specialty and focus" summary — Speakable pointed at the summary line for named-expert voice-answer citation.

Where not to deploy Speakable: on generic paragraph tags, on marketing pitch prose, on passages that carry any unqualified claim ("100% success rate", "best in India") because those will be quoted verbatim and the compliance liability is direct.

Common Speakable failure modes

  • Selectors pointed at generic tags. cssSelector: ["p"] is worse than no Speakable at all; the extraction system has to guess which paragraph, and often guesses wrong.
  • Speakable-marked passages that are too long. 800 words of Speakable content is not extraction-ready. Working ceiling is under 300 characters per passage.
  • Speakable pointed at content that is not on the visible page. Structured-data spam risk. The selector must actually point at visible content the user sees.
  • Speakable deployed once on the homepage only. Speakable is a per-page schema. Deploy it via the component that renders FAQ and TL;DR blocks, so every page inherits it automatically.
  • Speakable content that fails compliance verbatim quote-out. Every Speakable-marked passage must survive being read aloud out of context. Anything less is a liability, not a feature.

This page is Speakable-marked, deliberately

The Speakable specification at the top of this page points at the lead paragraph, the H2 headings, and the FAQ selectors. That is not an accident. A primer on Speakable that fails to deploy Speakable itself is not credible. Every ICG money page and insight page carries Speakable pointed at its answer-ready selectors, tied to the component that renders those passages, so every new page ships with the markup already wired.

Frequently asked

In plain answers

No. Voice was the original design target, but AI Overviews and LLM retrieval steps use Speakable-marked passages as a signal for which text to prefer when they need a short quotable answer.

Under 300 characters as a working ceiling. Longer content becomes unusable to extraction systems and can weaken citation.

They complement each other. FAQPage tells the model these are Q&A pairs; Speakable tells it these are the extract-ready selectors within them. Both layered together beat either alone.

Google has not confirmed Speakable as a ranking feature and never officially rolled out rich results for it. It remains an actively crawled schema type used by multiple retrieval pipelines. Deploying it is low cost and remains upside-heavy.

Inside the WebPage or Article JSON-LD block at the page level, pointing at reserved answer-content CSS classes rather than generic tags.

The ICG technology stack

Every tool. One compounding system. HealthApex OS
Built in-house. Deployed in every engagement.

ICG's results are reproducible because they are built on proprietary infrastructure — not agency intuition or generic tools. These nine HealthApex OS platforms are what power every ICG engagement.

Healthcare CRM

AtomCRM

Healthcare CRM & Lead Management

ICG's healthcare-specific CRM and lead management system. Specialty-configured funnel stages for IVF, dental, aesthetic, ortho, hospital OPD. 1-click CAPI + GCLID via Beacon. Hawk intelligence built in. DPDP-compliant by architecture. Includes the AtomCRM calling app, which replaces a traditional IVR. Live at 80+ healthcare centres in India.

  • Specialty-specific funnel stages, not generic SaaS pipeline
  • 1-click CAPI + GCLID via Beacon attribution
  • Telecaller leaderboard + adherence scoring native
  • DPDP Act 2023 compliant by architecture
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Business Layer

Hawk

CRM Intelligence & Lead-Ops MIS

Sits as the business intelligence layer above your CRM — AtomCRM or any other CRM you run, including custom builds. Shows where leads are leaking, which effort is wasted, and which good leads were quietly downgraded by automation — not by a human decision.

  • Sits above your existing LMS — no replacement
  • 83% of effort goes to dead leads — surfaced Day 1
  • ~75% qualified-lead downgrades by automation
  • Free Lead-Leak Audit in 48 hours
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Attribution Core

Beacon

Attribution Engine & CAPI Middleware

Sits at the centre of every ICG attribution architecture. CAPI middleware connecting Meta Ads, Google Ads, WhatsApp and IVR to your CRM. Lifts Event Match Quality from 2.5 to 6+, reducing CPM 30–40% from the same budget.

  • Server-side CAPI — bypasses iOS privacy changes
  • EMQ 2.5 → 6+ across portfolio
  • 30–40% CPM reduction from EMQ lift alone
  • Multi-touch: ad → consultation → revenue
Explore Beacon →
Practice Management

HealthPro 360

PMS with built-in revenue intelligence layer

A PMS built to track cross-sell and up-sell opportunities within your existing patient base. 12 modules covering OPD, IPD, Pharmacy, Labs, Billing, Inventory, Patient Portal, Smart Scheduling, RBAC, AES-256 encrypted storage.

  • Only PMS with built-in Revenue Intelligence
  • Cross-sell signal tracking within existing patients
  • 12 modules: OPD, IPD, Pharmacy, Labs, Billing+
  • Audit trails + RBAC + AES-256 encryption
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Revenue Layer

Phoenix

Revenue intelligence built over your existing PMS

If you already have a PMS, whichever one it is, Phoenix builds the business intelligence layer on top of it without replacement. Built for single clinics and multi-centre chains alike.

  • Works over your existing PMS — no migration
  • Daily action queue: Prevent Loss / Maintain / Grow
  • Catches unbilled services, collection gaps, lapsing patients
  • Tracks CPQL by centre and specialty
Explore Phoenix →
YouTube Intelligence

YODA

YouTube analytics that measures patients, not views

A YouTube intelligence platform built for healthcare business outcomes. Connects video performance to actual consultation bookings — not views, not subscribers. Patient testimonial videos generate 6.9× more consultations per view than condition explainers.

  • Consultation attribution per video — not views
  • Demand-gap: what patients search that your channel misses
  • 50+ doctor channels tracked across India
  • AIO readiness scoring: which videos AI tools cite
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Governance & Transparency

Agency OS

Full transparency. Instant diagnosis. Zero surprises.

ICG's centralised governance platform — every client sees everything in real time, and ICG's team sees every problem the moment it surfaces. 30+ real-time alert systems fire the moment a metric drifts outside its performance envelope.

  • GSC, GA4, Google Ads, Meta Ads, IVR — one live view
  • 30+ real-time alert systems per account
  • CPQL drift alert at >15% week-on-week change
  • Client login: full transparency on your account
Explore Agency OS →
AEO & LLM Intelligence

AIO Intel

AI Overview + LLM citation tracking, healthcare-tuned

Knows the moment ChatGPT, Perplexity, Google AI Overviews and Gemini cite your brand in patient answers — and which content drove the citation. Bot-aware dashboard with GA4-registered custom dims (AIO source, AIO referrer) and IndexNow + GSC API integration.

  • Live tracking across ChatGPT / Perplexity / Google AIO / Gemini
  • Bot-aware: knows human vs scraper traffic
  • Custom GA4 dims register AIO source + referrer
  • IndexNow + GSC API: content surfaced to LLMs within hours
View AIO Intel dashboard →
Competitor Intelligence

Prism Spy

Every Meta + Google ad your competitors run, watched daily

Tracks 75+ Indian healthcare brands, 2,150+ active ads, ₹50Cr+ aggregate ad spend visibility per month. Surfaces what's working, what's been killed, what offers are emerging. Powers every ICG Meta Ads brief, Performance Marketing diagnostic, and IVF / derm / dental specialty campaign with real competitive intelligence.

  • 75+ brands tracked across 30+ healthcare specialties
  • 2,150+ active ads · daily refresh
  • Activity Feed: every spend / hook / pause logged
  • Offers Intelligence: 250+ offers in market tracked
Explore Prism Spy →
GBP Intelligence Platform

Angryturtle

Every Google Business Profile scored, tracked, protected, and grown from one command centre

ICG's proprietary Google Business Profile intelligence platform. Scores every listing across 7 dimensions, tracks rank on a live geo-grid across your actual service area, audits NAP + citations, monitors 531 suspension-risk factors continuously, and drafts Google Posts on cadence. Currently managing 143 healthcare listings with 0 suspensions and 4.76★ portfolio average across 28,137 reviews.

  • 143 listings under management · 0 suspensions · 4.76★
  • 7-dimension Health Score + 5-factor Rank OS per listing
  • Geo-grid rank tracking + NAP + Citation audit + Profile Shield
  • NMC + NABH + ART Act + DPDP compliance built into every content + review workflow
Explore Angryturtle →

Every ICG engagement runs on some combination of these ten HealthApex OS tools. The diagnostic determines which combination is right for your practice.

Explore HealthApex OS → See the full stack live on your account — free 30-min audit →
The team behind your account

Every diagnostic is led by Sr. Leadership.
You'll know their names before the engagement begins.

ICG was built by three IIT BHU engineers who entered healthcare marketing with a specific intent: to build the tools that didn't exist and run the campaigns that most agencies couldn't. When you book a diagnostic, a member of our Sr. Leadership team leads it. Not an account manager. The people accountable for what you're evaluating.

The ICG team — 100+ healthcare marketing specialists at Gurgaon HQ

100+ specialists.
One growth engine.

Performance marketers, analysts, AI engineers, content strategists, and operations specialists — all healthcare-only. Headquartered in Gurgaon since 2018.

Rohit Gupta — Leader, ICG

Rohit Gupta

Business & Growth Lead & Director

IIT BHU · IIM Rohtak

Rohit's first question in every diagnostic: "When you ask your agency why patients aren't booking — what do they say?" He says the answer tells him more than any dashboard.

Full profile →
Abhash Kumar — Leader, ICG

Abhash Kumar

Strategy & Analytics Lead & Director

IIT BHU · IIM Bangalore

Abhash built Beacon because most agencies couldn't answer one question: "Which of my campaigns generated that consultation?" He decided the problem was solvable in code. It was.

Full profile →
Deep Das — Leader, ICG

Deep Das

Technology & AI Lead & Director

IIT BHU

Deep built the 4-Bot patient lifecycle system after watching a client lose 60+ qualified leads in one week to a 6-hour WhatsApp response window. He decided the problem was solvable in code. It was.

Full profile →

Get Speakable deployed on the passages
your patients already ask about.

Free schema audit · ICG reviews your FAQ, TL;DR and direct-answer blocks and returns the Speakable selector map.

Or call +91 81302 26224 · contact@ichelonconsulting.com

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