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Bloom IVF
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Adonis Phyto
Narang Biotec
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Service · Speakable schema · Voice + AIO extract · Healthcare only

Speakable Schema Agency India — Voice + AIO Extract-Ready Markup for Healthcare

TL;DR
  • Speakable schema is a small piece of JSON-LD that names specific CSS selectors on a page as "answer-ready" — the passages a voice assistant, an audio surface, or an AI Overview may extract as a self-contained spoken or written answer.
  • Deploy cost is very low. Citation lift on FAQ-heavy healthcare pages is meaningful and shows up quickly. This makes Speakable the highest-ROI single-schema-type deployment in the AEO toolkit.
  • Speakable is not only about voice assistants. AI Overviews and LLM retrieval both use Speakable-marked selectors as a soft signal for which passages the model should prefer when it needs a short, quotable answer.
  • ICG deploys Speakable across FAQ blocks, TL;DR blocks, and direct-answer paragraphs, with the CSS selectors tied to the same components that render those passages in production. This page itself carries Speakable schema on its own TL;DR and FAQ — because a Speakable-schema page that does not eat its own cooking is not credible.
  • Retainers from Rs 20,000/month · but Speakable is more often deployed as part of a wider AEO / schema engagement rather than a standalone brief.
The ICG engagement model
Every practice welcome — retainers starting from ₹20,000/mo (India) or $499/mo (Global).
Goals-Driven engagements · Performance-Linked Payout Models available. Read the full engagement model →
🎯 Ichelon Agency OS See your goals live · client-facing dashboard, updated in real time. Click any screenshot to zoom. Open the full engagement model →

Healthcare-only AI-first agency · +91 81302 26224

What Speakable is

What Speakable schema actually does

Speakable is a small block of JSON-LD that names specific CSS selectors on a page as "answer-ready" passages. It attaches to a WebPage, an Article, an FAQPage, or any similar top-level type; it names one or more CSS selectors; and it tells any consuming system that the text inside those selectors is the passage to prefer when it needs a self-contained answer.

The mechanism is simple. The consuming system — a voice assistant reading a search result aloud, an AI Overview picking a passage to quote, an LLM retrieval step picking a snippet to ground on — can read the Speakable specification, extract the text inside the named CSS selectors, and use that text directly as the answer. It bypasses the guesswork of "which paragraph is the actual answer" and hands the system the paragraph the page author explicitly marked as answer-worthy.

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

Why Speakable is disproportionately useful for 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" — each with a short, extractable answer of one to three sentences. Second, healthcare AI Overviews and voice answers are read out loud or displayed as small text panels, both of which reward passages that stand alone as complete answers rather than paragraphs that only make sense in longer context.

Speakable is the mechanism a page uses to say "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.

Deployment approach

How ICG deploys Speakable schema across a healthcare site

1. Component-scoped, not page-scoped

Speakable CSS selectors are attached to the components that render TL;DR, FAQ answers and direct-answer blocks — not to individual pages. Once wired, every new page inherits Speakable without a bespoke schema block.

2. Selector discipline

Selectors point at classes reserved for answer content (.faq-a, .tldr-block, .speakable-answer) — never at generic <p> or <div>. Ambiguous selectors weaken the signal and confuse extraction.

3. Answer-length constraint

Content inside a Speakable-marked selector is kept under 300 characters per passage. A Speakable-marked 800-word paragraph is worse than no Speakable at all — the extraction becomes unusable.

4. Compliance overlay

Because Speakable content is more likely to be quoted verbatim, NMC / ASCI / DPDP scrubbing is stricter on Speakable passages than on general prose — every marked passage must survive being read aloud out of context.

CPQL benchmarks · ICG vs market

29–51% below the market
median CPQL, specialty by specialty.

Most healthcare marketing agency pitches sell on CPL. ICG sells on CPQL — Cost Per Qualified Lead — the cost of a lead that actually shows up for a consultation. The difference is often 3–4×. Here is what our 150+ healthcare clients actually pay.

Specialty Market median CPQL ICG median CPQL Difference
IVF & Fertility₹2,400₹1,180−51%
Aesthetic Dermatology₹1,400₹950−32%
Plastic Surgery₹3,500₹2,200−37%
Hair Transplant₹2,100₹1,350−36%
Ophthalmology (LASIK)₹1,800₹1,080−40%
Psychiatry₹2,200₹1,260−43%
Dental (general)₹1,100₹780−29%

Medians from ICG's public CPQL benchmark dataset (Q2 2026), drawn from ICG's live portfolio across Delhi NCR, Mumbai, Bangalore, Hyderabad, Pune, Chennai, and tier-2 cities. Adjust for city: metro CPQLs run 20–35% higher than tier-2 across all specialties.

HealthApex OS · The proprietary stack

HealthApex OS: eight platforms. One intelligence layer.

AtomCRM healthcare lead management · Beacon attribution · Hawk CRM intelligence · Phoenix clinic revenue · HealthPro 360 PMS · YODA YouTube intelligence · Agency OS live reporting · AIO Intel AEO+LLM citation tracking. Built in-house since 2018 — included in every healthcare marketing agency engagement.

Explore HealthApex OS → See every HealthApex OS platform in detail →
Two products worth knowing

Hawk and YODA.
Standalone offers built for specific gaps.

⏵ Hawk · CRM Intelligence

Is your CRM hiding what it should be showing?

Hawk shows where your leads are leaking: which went cold, which were downgraded by automation, which are recoverable. Free Lead-Leak Audit in 48 hours.

Explore Hawk + free audit →
▶ YODA · YouTube Intelligence

Is your YouTube channel generating patients, or just views?

YODA connects YouTube content to consultation bookings. Patient testimonial videos generate 6.9× more consultations per view than condition explainers.

Explore YODA →
The diagnostic framework

Most healthcare marketing agencies treat symptoms.
ICG diagnoses root causes.

High CPL. Junk leads. Low ROAS. These are symptoms, not problems. ICG's diagnostic framework — built across 150+ healthcare engagements — maps every symptom to its actual root cause and the specific treatment that fixes it.

Symptom Diagnosis ICG Treatment
High CPL across all campaignsPoor channel selectionSLC Matrix
Leads come in, but most are junkInefficient digital operationsDCG Matrix
Leads convert to appointments slowlySales process / telecaller gapsACE Matrix + MIS Tool
CPL keeps rising every monthCross-firing between ad groupsN-Gram + Cross-Firing Analysis
Meta Smart Bidding not optimisingEMQ at 2.5, no first-party signalBeacon CAPI middleware
Traffic is up but enquiries flatWrong T-1 page; no CRODevice ID Tool + OHMRC Model
Invisible to ChatGPT / AI OverviewsNo AEO infrastructureAIO Intel Tool + cluster architecture
Patient database underutilisedNo retention motion on existing patientsPhoenix revenue intelligence
Can't see which leads are leaking from your CRMNo CRM intelligence layer; backward movement invisibleHawk · CRM intelligence + Lead-Leak Audit
YouTube channel has subscribers but no patientsOptimising for views instead of consultation attributionYODA · YouTube intelligence + consultation attribution

Every framework in this table is proprietary to ICG. Calibrated across 150+ live healthcare accounts since 2018. Full ICG methodology → · Glossary →

Complete guides

Read the complete guide
for your category.

Six pillar guides — each 8,000–15,000 words of original ICG methodology, CPQL benchmarks, and live client data. The depth no other Indian healthcare marketing agency publishes.

Healthcare Marketing India — Complete Guide → Doctor Marketing India — Complete Guide → Hospital Marketing India — Complete Guide → IVF Marketing India — Complete Guide → Healthcare Performance Marketing — Complete Guide → Healthcare SEO + AEO India — Complete Guide →

More insights at ichelonconsulting.com/insights · 250+ articles · all healthcare-only

Pricing

Pricing

Retainers from Rs 20,000/month

Speakable is more often deployed inside a wider AEO / schema engagement than as a standalone workstream.

Frequently asked

Speakable schema — in plain answers

Speakable is a JSON-LD block that names specific CSS selectors on a page as answer-ready passages, so a voice assistant, AI Overview or LLM can extract those exact passages as self-contained answers.

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

Reserved answer-content classes — FAQ answers, TL;DR blocks, direct-answer paragraphs. Never generic paragraph tags. Ambiguous selectors weaken the signal.

Under 300 characters per passage as a working ceiling. Longer Speakable content becomes unusable to extraction systems and can weaken the citation rate rather than help it.

Speakable strengthens FAQPage. FAQPage tells the model these are Q&A pairs; Speakable tells it these are the passages to prefer for extraction. They are complementary layers.

Speakable is not currently a fully-supported ranking feature by Google, but it remains an actively-crawled schema type and it is used by multiple LLM retrieval pipelines. Deploying it is low cost and remains upside-heavy.

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
Explore AtomCRM →
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
Explore Hawk + free audit →
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
Explore HealthPro 360 →
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
Explore YODA →
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 →
Selected ICG clients

Healthcare brands ICG
has worked with.

A representative slice of the 150+ healthcare brands ICG has delivered for across India. Full client list available under NDA during a Brand and Growth Diagnostic.

Read full client case studies →

Get Speakable schema 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 for deployment.

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

The nine-stage patient journey

We cover every stage, from first search to repeat visit

  1. 0Foundations
  2. 1Demand gen
  3. 2Capture
  4. 3Lead quality
  5. 4Lead mgmt
  6. 5Scheduling
  7. 6Show-up
  8. 7Conversion
  9. 8Retention

We work across all nine stages, from foundations to past patients, and fix the stage that leaks first. Our own software runs the work, and every stage is reported against a monthly target on Ichelon Agency OS.

See all nine stages and the tool behind each one →
Ichelon Agency OS: Goals portfolio · clients shown as Client A to G
Ichelon Agency OSEvery service line shows its monthly target, what is delivered and whether it is on pace.Goals portfolio · clients shown as Client A to G
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