I scanned 18 Indian immigration consultants for AI visibility
I scanned 18 Indian immigration and visa consultant homepages, and this turned out to be the most AI-readable vertical I have measured yet: a median score of 91.5.
On 4 August 2026 I ran 18 Indian immigration and visa consultant homepages through my public AI-readability scoring engine, the same one behind the free Report Card tool. I checked only the homepage of each site, and I am reporting everything anonymously and in aggregate: no firm is named. What came back surprised me. The median score was 91.5 out of 100, the highest median of any vertical I have scanned so far, edging past the previous leaders (study-abroad consultants and IVF clinics, both at 90). Two firms hit a perfect 100. But the vertical is not uniformly strong: the range ran from 43 to 100, and the same signal that separates every vertical I have looked at, structured data, still decides who ends up at the bottom.
The strongest vertical I have scanned
The numbers: median 91.5, mean 85.6, range 43 to 100, and two firms scoring a perfect 100. On grades, 14 of the 18 sites scored an A (85 or above), 1 scored a B, 2 scored a C, and 1 scored a D. Nobody scored an F. That median of 91.5 edges past the previous top I had measured, study-abroad consultants and IVF clinics, both at 90.
Why would visa consultants score higher than almost anyone else I've checked? My guess is the business forces it. A visa consultant's whole job is answering narrow, factual, high-stakes questions: am I eligible for Canada PR, what is the CRS cutoff, how long does the process take, what does it cost. Answering those questions well on a webpage means writing dense, structured, factual content, and that is exactly what an AI answer engine reads well. I should be honest about the shape of the distribution too: it is top-heavy, with most firms clustered high and three clear outliers dragging the low end down. I have no verified breakdown by firm size, destination or type, so I am not claiming one.
Structured data still sorts the bottom
15 of the 18 sites publish JSON-LD structured data, and those 15 have a median score of 92. The 3 that don't have it scored 43, 53 and 58, a median of 53. That is a 39 point gap tied to a single signal, in the one vertical where almost everyone else is doing well.
Structured data is how a webpage tells an AI engine what it is looking at without making it guess: this is a service, this is the price, this is the FAQ, this is the organization. Without it, an AI system has to infer meaning from prose, headings and layout, the way a person would, and it does that job worse than a person. So even in a vertical that is unusually good at writing clear, factual pages, skipping structured data is enough on its own to sink a score by 39 points.
Even the question-answering vertical under-uses FAQ schema
7 of the 18 sites have FAQ schema. That is the highest FAQ adoption I have seen in any vertical I've scanned (most sit around 1 or 2 in 15), but it is still under half. A single clear H1 heading, another basic AI-readability signal, is present on 9 of the 18.
FAQ schema matters more here than almost anywhere else, because the questions a visa consultant's clients ask are exactly what the format is built for: am I eligible, what does it cost, how long will it take, are you registered. FAQPage markup exists to hand an AI engine a direct question and a direct answer, and immigration is about as direct-question a business as exists.
That's the real takeaway: even in the vertical whose entire business is answering questions, most sites still don't hand the answer to an AI engine in the format built for exactly that job. 11 of 18 have no FAQ schema at all. If your business model is 'we answer your visa questions,' your homepage should say so in a format a machine can lift, not just a human reader.
The smaller gaps in the sample:
- FAQ schema: 7 of 18 sites have it.
- A single clear H1 heading: 9 of 18 sites have one.
- Open Graph tags (link previews): missing from 3 of 18 sites.
- The 3 sites without structured data scored 43, 53 and 58, all well under the group's 91.5 median.
What to fix, for the sites still behind
- Add JSON-LD structured data for your organization, services and pricing first: it is the single biggest lever, worth up to 39 points in this scan.
- Add FAQPage schema for your most common client questions (eligibility, CRS cutoffs, fees, timelines, registration status).
- Use one single, clear H1 heading that states what you do and for whom, not a slogan.
- Add Open Graph tags so your page previews correctly when shared or cited.
- Rerun your homepage through the free Report Card tool after each change to confirm the score actually moved.
Method and limits
This is based on 18 real Indian immigration and visa consultant homepages, scanned live on 4 August 2026 with the same engine behind the free Report Card tool. I checked homepages only, and I'm reporting everything anonymously and in aggregate: no firm is named. The sample skews toward more visible, easier-to-find firms, so the wider population of consultants, including smaller and less discoverable ones, likely scores lower than this, not higher.
Frequently asked questions
Why do immigration and visa consultants score higher on AI readability than other verticals?
Most likely because their business forces it. Their clients ask narrow, factual, high-stakes questions (eligibility, points cutoffs, cost, timelines), and answering those well means writing dense, structured, factual pages, which is exactly what an AI answer engine reads well.
What is structured data, and why does it create a 39 point gap?
Structured data (JSON-LD) is a block of code that labels the content on a page for machines: this is a service, this is a price, this is an FAQ. In this scan, the 15 sites with it had a median score of 92; the 3 without it scored 43, 53 and 58, a median of 53. It's one of the highest-leverage single fixes I have measured.
Is FAQ schema really that important for a visa consultant?
Yes. Visa questions (am I eligible, what does it cost, how long does it take, are you registered) are the exact use case FAQPage markup was built for. Only 7 of 18 sites in this scan have it, so most are leaving a direct win on the table.
What is the single fastest fix?
Add JSON-LD structured data. It is the one signal most tightly tied to score in this scan, and it is a one-time technical change, not a content rewrite.