I scanned 18 Indian law firms for AI visibility

On 30 July 2026 I ran 18 real Indian law firm homepages through my AI readability scanner, the same engine behind every study on this site. Law is a high trust, high value profession, the kind of decision a client researches carefully before ever picking up the phone. I expected a strong result. Instead the median score came out at 59.5 out of 100, well below the medians I found scanning IVF clinics (90) and dermatology practices (89) earlier this year, and the scores split hard by firm size: the large national firms mostly did well, the mid-size and boutique firms mostly did not.

A weak, split result: median 59.5, and firm size decides who scores

Across the 18 firms, scores ranged from 23 to 92, with a mean of 60 and a median of 59.5. The grades split into a barbell: 4 firms scored an A (85 or above), 1 scored a B, 8 landed in the C band, 2 scored a D, and 3 scored an outright F. More firms failed outright than scored an A.

That puts law among the weaker verticals I have measured. It sits well below IVF clinics (median 90) and dermatology practices (median 89), and it is stronger only than gyms, the single weakest vertical I have scanned so far (median 53.5). A profession built on trust and expertise is, on the whole, not built to be read by AI.

The scores split cleanly by firm size. The 9 large, national, full service firms had a median of 83, solidly in A to B territory. The 7 mid-size and regional firms had a median of 50. The 2 boutique and specialist firms in the sample scored 29 and 52, a median of 40.5. The big firms invested in real websites. Most of the rest did not.

Structured data is the line between the two groups

Only 7 of the 18 firms publish JSON-LD structured data on their homepage. Those 7 have a median score of 89. The 11 firms without it have a median of 50. That is a 39 point gap on a single signal, the widest structural gap I have measured in any vertical I have scanned.

Structured data is a block of code on the page that states facts directly: this is a law firm, this is its name, these are its practice areas, this is its address. An AI engine does not have to interpret a paragraph of marketing prose to find that, it just reads the block. Without it, the engine is left guessing at what the page is actually saying, and guesses are what get a firm left out of an answer.

This single check explains most of the spread in the section above. Firms with structured data cluster in the A and B grades. Firms without it cluster in C, D and F. If a law firm fixes one thing on its site, this is the one with the largest measured effect.

FAQ schema: zero of 18, the cleanest opportunity in the whole study

Not one of the 18 firms in the sample has FAQ schema on its homepage. Zero of 18. I have not measured a vertical yet where an entire high value profession sat at zero on a single check.

FAQ schema matters more for law than for almost any other vertical I have scanned, because the questions clients ask AI before hiring a firm are specific: does this firm handle SEBI matters, what are the fees, which courts does the firm appear in, is there a free first consultation. FAQ markup is the format built to answer exactly that kind of question in a way an engine can lift and quote directly.

Because every firm is at zero, this is not a competitive disadvantage yet, it is a wide open lane. The first firms in this vertical to add real FAQ schema, answering the actual questions clients ask, will likely be the first ones AI engines start naming by name.

The smaller gaps in the sample:

• Open Graph tags missing on 11 of 18, so shared links preview blank.
• No single clear H1 on 9 of 18 homepages, confusing the page topic.
• None of the 7 firms with JSON-LD also carry FAQ schema.
• 3 firms scored an outright F, the bottom of the scale.

What to fix, for the sites still behind

1. Add JSON-LD structured data naming your firm, its practice areas and its partners, the single check with the biggest measured effect. My free schema generator builds this block for you.
2. Add FAQPage schema answering the specific questions clients actually ask: fees, jurisdiction, practice areas, consultation policy.
3. Give every page one clear H1 that states what the page is about, not a slogan.
4. Add Open Graph tags so a shared link previews the right title and description instead of blank.
5. Run your homepage through the free Report Card tool to see exactly which of these checks you are failing.

Method and limits

This is a live scan, not a survey: I ran 18 real Indian law firm homepages through the same public AI readability engine anyone can use on this site, on 30 July 2026. It checks the homepage only, not the full site, so it is a snapshot of one page in time, not a verdict on the whole firm. The results are reported anonymously and in aggregate, no firm is named. The sample skews toward firms with an existing web presence worth finding and scanning, so the real long tail of law firms with no meaningful website at all is likely weaker than what is shown here.

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