Ask ChatGPT for the best conversational AI platform for an Indian enterprise, and you get back an answer that names three or four brands. In roughly 45% of those answers, Yellow.ai is one of them. On Gemini and Google AI Overviews, they show up in about 38%. Across all five engines together, they land in almost 1 in 3 responses. No other Conversational AI brand in the June 2026 Cited Index comes close on that spread.
This case study takes a single brand, Yellow.ai, and reads what Cited's own citation data plus its on-site GEO Score scan say about how they got there. Then it names the one signal an audit today would still flag on the yellow.ai domain, and what a mid-tier competitor can actually copy versus what they should not bother trying.
Key findings
- Yellow.ai leads the June 2026 Cited Index Conversational AI Platforms category with 49 citations, 20% of top-10 citation share, and the most balanced per-platform spread in the top three
- Yellow.ai's per-platform response rate is 44.8% on ChatGPT, 37.9% on Gemini, 37.9% on Google AI Overviews, 34.5% on Google AI Mode, and 13.8% on Perplexity — 33.8 overall AI Visibility Score
- The technical delta is real: Yellow.ai scores 76/100 on the Cited GEO Score. Haptik scores 48. Gupshup scores 67. The gap is JSON-LD schema, author attribution, and clean H2 or H3 structure on the pages engines actually crawl
- The one weakness a Cited audit would flag on Yellow.ai is Perplexity share, and it needs analyst-relations work, not on-site content changes
What Cited's data shows
The June 2026 Cited Index scanned 34 Conversational AI Platform brands across five AI engines: ChatGPT, Gemini, Google AI Overviews, Google AI Mode, and Perplexity. 426 total citations across the category. The full Cited Index June 2026 dataset sits behind the numbers below.
Yellow.ai ranks number one on the category leaderboard with 49 citations. That is 12% of every citation in the category, and 20% of the citations that go to the top ten brands. The category is not consolidated the way Personal Grooming is (top three there own 42%), which means Yellow.ai's number-one position is a lead, not a monopoly. Haptik at number two has 39. Gupshup at three has 34.
The more revealing number is the per-platform response rate. This is the share of AI answers, for the 29 prompts we ran against this category, in which a brand was named at all. Yellow.ai's spread across the five engines is the most balanced in the top three:
| Brand | ChatGPT | Gemini | AI Overviews | AI Mode | Perplexity | Overall AI Visibility Score |
|---|---|---|---|---|---|---|
| Yellow.ai | 44.8% | 37.9% | 37.9% | 34.5% | 13.8% | 33.8 |
| Haptik | 44.8% | 13.8% | 20.7% | 31.0% | 24.1% | 26.9 |
| Gupshup | 34.5% | 17.2% | 27.6% | 27.6% | 10.3% | 23.4 |
Read the table left to right. Haptik ties Yellow.ai on ChatGPT, but drops to a third of Yellow.ai's rate on Gemini. Gupshup trails on every engine except Perplexity, where all three brands are weak. Yellow.ai is the only brand in the top three that engines seem to reach for consistently, whether the retrieval pipeline is ChatGPT's, Gemini's, or Google's AIO stack. That consistency is the finding worth chasing.
Perplexity is the weak spot for the whole category. Yellow.ai lands at 13.8%, Haptik at 24.1%, Gupshup at 10.3%. Perplexity's citation mix in enterprise B2B categories skews to research reports and analyst posts, and none of the top three Indian conversational AI brands own that surface yet. That is a whole separate playbook.
The category source mix explains the second half of the story. In Conversational AI Platforms, 78% of all category citations come from brand-owned websites. Another 18% come from social (mostly YouTube and LinkedIn). Marketplace, forum, and news barely register. This category is a brand-site category. Engines are reading yellow.ai, haptik.ai, gupshup.ai directly and using those pages as the answer. It is one of only two categories in the Cited Index where owned-domain content carries this much weight (HR & Payroll and CRM & Sales are the other two).
What Yellow.ai does that the mid-tier does not
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If AI engines reach the yellow.ai domain and turn it into an answer 45% of the time on ChatGPT, the yellow.ai domain has to be doing something the mid-tier is not. Cited's on-site GEO Score scan for the category gives the answer.
Yellow.ai scored 76/100 on the GEO Score, second only to Salesforce (78/100) in the ten-brand scan. Everyone else was under 71. Haptik, the number-two brand by citations, scored 48. Gupshup scored 67. So the technical foundation on yellow.ai is a full two tiers above their nearest citation competitor.
Three things stand out inside that score.
They have real JSON-LD schema on the pages engines actually crawl. The homepage carries WebPage, ImageObject, BreadcrumbList, WebSite, and Organization schema. A blog page like "Agentic AI 101" carries all of the above plus Article, BlogPosting, and Person. That last one is the key. Person schema is how a search engine or an AI engine links a byline to a real author, and Yellow.ai puts a real author on their long-form content. On the same scan batch, Haptik and Gupshup had no JSON-LD on their homepage or key content pages at all. That is a Layer 1 (Discoverability) gap that leaves an entire content pipeline invisible to citation.
Their content depth is real and their headings are mostly clean. They scored 32/37 on Readability, the second-highest in the batch. Haptik scored 16/37. When an AI engine tries to lift an answer to a prompt like "how does an enterprise conversational AI platform handle multilingual customer service," it needs to find that answer inside clean H2s and H3s with prose that reads as a definition, not a slogan. Yellow.ai's product and blog pages are structured for that. Haptik's are structured for sales.
Their positioning language is consistent and extractable. The framing tags Cited's own extractor picked up for Yellow.ai across 140 responses were "enterprise-grade," "omnichannel," "multilingual," and "conversational AI." Those are the exact terms that live on their homepage hero and in their meta descriptions. Haptik's tags were "enterprise-grade," "multilingual," "conversational commerce," and "omnichannel." Gupshup's were "WhatsApp integration," "WhatsApp API," "WhatsApp-first." Notice the shape. Yellow.ai and Haptik are being cited on category-level enterprise language. Gupshup is being cited on WhatsApp-specific language. Both are legitimate positions. But Yellow.ai's positioning is broader, so engines pull them into a wider prompt set.
Off-site, the one number worth pulling forward is B4 from the Cited Index. Yellow.ai's own domain (yellow.ai) is cited in exactly 3 of their 49 citations. The other 46 come from third-party surfaces: LinkedIn, YouTube, a research post here, a listicle there. Their brand shows up in 45% of ChatGPT answers, but yellow.ai the URL appears in only about 6% of the category's brand-site citations. Even a leader in a brand-site-dominated category is winning most of its citations through a mention, not through an outbound link. This matters for the copy-play at the bottom of this piece.
Where it starts breaking
If Cited audited yellow.ai this month, the report would flag three things. Two are technical. One is a strategic gap that no on-site fix will close.
One: no llms.txt. A fetch of https://yellow.ai/llms.txt returns HTTP 404. This is the smallest of the three flags. llms.txt is a proposed spec for a machine-readable index of a domain's content that AI engines can consume directly. Adoption is uneven and Google has publicly said it does not consume it. But Perplexity has cited llms.txt files in tests we have run, and shipping one is a low-cost signal.
Two: heading jumps on the homepage and long-form blog. The homepage jumps from H1 to H5 on one section. The Agentic AI 101 blog jumps from H2 to H4. This is a Layer 2 (Citability) fix that would lift the Readability score from 32/37 to closer to 36. Small change, real impact when an engine is trying to lift a paragraph as a direct answer.
Three, the strategic flag, is Perplexity. Yellow.ai's Perplexity response rate is 13.8%. This is not a website problem. Perplexity's citation stack for enterprise software prompts leans on Gartner, G2, Forrester, and category-analyst blog posts. Yellow.ai has coverage on G2 (106 reviews at 4.4/5 as of writing) and appears in Gartner's Magic Quadrant for Conversational AI Platforms. That analyst presence is why Perplexity cites them at 13.8% instead of the 5-6% we see for mid-tier brands. But moving that number to 25%, where their Gemini and AIO numbers already sit, needs a research-report and analyst-post pipeline that is expensive and slow to build. It is the classic Layer 3 (Authority) problem: earned third-party coverage decides where the top of the funnel sits. The on-site fix does not touch it.
The playbook for a mid-tier Conversational AI brand
If you are a Conversational AI brand ranked between 4 and 10 in the Cited Index (Salesforce, Interakt, Gnani.ai, Exotel, Shopify, Sarvam AI, Zendesk), here is what Yellow.ai's playbook says is worth copying, and what is not.
Copy this. Fix the JSON-LD schema stack on your homepage and on every blog page you publish. Not just Organization schema. Add Article, BlogPosting, and Person for every long-form page. This is a one-week engineering job that closes the largest single Layer 1 gap in this category. On the same scan, Haptik, Gupshup, and Shopify all had no JSON-LD on key pages. Fixing this is table stakes.
Copy this. Write extractable content on the pages engines crawl. If the prompt is "how does a conversational AI platform handle multilingual support," the answer needs to sit inside an H2 on your product page, phrased as a definition, not as a marketing hook. Look at the yellow.ai blog structure for reference.
Copy this. Add author blocks with names, roles, and Person schema. On Cited's 70-brand mid-tier scan across all 10 Cited Index categories, missing Author Attribution was the single most common weakness. It is one of the five signals in our on-site content mistakes playbook. Fix in an afternoon.
Do not copy this. Do not try to out-position Yellow.ai on category-level enterprise language. They already own it. Pick a narrower slice (Gupshup did with WhatsApp; Interakt did with SMB Shopify integrations) and win the prompt set that lives inside that slice.
Do not copy this. Do not spend a quarter chasing Perplexity share through content changes on your own domain. In this category, Perplexity share comes from analyst reports and G2 rankings, not from your website. If Perplexity share is the goal, the investment goes into analyst relations, not into a content sprint.
One action a Conversational AI brand can take this week
Pick your top three product pages (the ones your team already thinks are the most important to the sales funnel), and run each one through the Cited GEO Score scan. Read the JSON-LD Structured Data signal and the Author Attribution signal first. Fix those two before you look at anything else. If both are red, that alone is the reason your brand is not being pulled into an answer when an engine is already crawling the page. On Yellow.ai the same two signals are green. That is the delta.
If you want to track how that fix moves your citation rate across all five AI engines week by week, the Cited dashboard free tier opens the same category view we used to write this piece. Your brand sits inside the same 34-brand Conversational AI Platforms leaderboard. You can see exactly which engine is naming you today and which one is not.
Yellow.ai's lead is real. It is also winnable in a category where the top three own only 29% of citation share and the long tail has 71% left on the table.