AI visibility for Indian SaaS companies: one site, two currencies, and the pricing page an assistant actually reads

An Indian SaaS company gets named by an assistant when the facts a buyer asks for are sitting in readable text on its own website. Across 597 usable readings of ChatGPT and Gemini on 15 October 2026 we recorded 10,652 citations across 2,708 distinct domains, and 85.6% of them went to a page on the vendor's or the agency's own website. Review directories took 0.8%. On the India readings in that run, 189 of them, our own domain was cited twice. So the work is not a listings campaign. It is a small number of pages on your own domain, and for an Indian SaaS company the one that decides the most is the pricing page.

The pricing page is read from one place, and only one

Here is a failure from our own site, because 68 of the 102 build spec conversations we ran asked to see failures rather than wins. During that run ChatGPT volunteered that the aiknowsus.com pricing page showed rupee prices and no US pricing. We fetched the page and it agreed: rupee amounts, no dollar amounts. The page prices by location and was read from an Indian address, so it returned Indian prices and did exactly what it was built to do. The engine was not wrong about what it saw. It described one version of a page that has several, and reported that version as a fact about the company.

Every Indian SaaS company with a geo priced pricing page has this. A buyer in Bengaluru asks whether you have an INR plan. A buyer in Austin asks whether you publish dollar pricing. The answer each gets depends on where the fetch came from. The fix is cheap and it is not a redesign:

• Keep the geo switch for the person browsing. It is good for conversion and there is no reason to remove it.
• Publish one static, crawlable page carrying every currency you actually charge in, as text, in a table, with the date you last reviewed it.
• Put the unit on it: per seat, per workspace, per thousand API calls. The unit is what a buyer is really asking about and it rarely changes by country.
• Say whether the figure includes GST and whether an Indian buyer gets a tax invoice carrying your GSTIN. Indian finance teams ask this first, and most Indian SaaS pricing pages do not answer it.

102 of the 102 build specs asked for pricing in the reader's own currency, level with a date as the most requested thing in the set.

The questions an Indian buyer asks that a global buyer does not

Buyers describe their situation in sentences, and the Indian version of that sentence carries constraints a page written for an American buyer never answers. Each row needs a page or a section that answers it outright, in text, not a logo wall and not a PDF.

What the buyer asks	What it is testing	Where the answer has to live
Is GST charged, and do I get a tax invoice	Whether you are set up to sell to an Indian company at all	A billing page with your GSTIN and the invoice format
Where is my data stored	Residency, and your position under the Digital Personal Data Protection Act, 2023	A security page naming the region and the date reviewed
Can I pay by UPI or NEFT	Whether procurement can actually raise the payment	The billing page, as a list of methods, in text
Does it work with Tally or Zoho Books	Whether you fit the stack an Indian back office runs	One page per integration, each naming the other product

None of those is a marketing question, which is why they tend to be owned by support articles nobody in the growth team has read. Those articles are often the most quotable pages an Indian SaaS company owns. Give each one a title that is the question, put the answer in the first two sentences, and check that the docs host and the help centre each have their own robots.txt, because every host needs its own file.

One site cannot serve the domestic buyer and the export buyer

The domestic buyer wants GST, rupee billing and a number to call. The export buyer wants certification status, a data processing agreement and dollar invoicing. One page trying to reassure both ends up specific to neither, and specificity is what gets a page retrieved. Build two shallow sets instead of one deep compromise, and use the same category wording in both, because one repeated category claim builds a single strong entity while three variations build three weak ones. What genuinely changes from industry to industry and what never does is set out in SEO by industry, and this domestic and export split is one of the few things that really is category specific.

Write the comparison page yourself, and be fair in it

An Indian SaaS buyer shortlists a domestic incumbent and a global one in the same breath: a Zoho or a Freshworks product alongside whichever international platform the category is known by. If the only comparison page in your category was written by one of them, that is the page an assistant has to read. Yours needs a factual table of the real decision criteria, a link to each competitor's own source page for every claim you make about them, the date you checked, and no adjective you cannot support. Where you lose on a criterion, say which buyer should pick the other product. That sentence costs nothing and it is the reason the page gets quoted.

What the numbers above cover, and what they do not

The run behind every figure here read two engines, ChatGPT and Gemini, on 15 October 2026, across the United States, the United Kingdom and India. Perplexity, Claude and Google AI Overviews were not in it. Our own product measures five surfaces and this dataset covers two, and we keep those statements apart wherever the numbers appear. We also did not measure SaaS as a separate industry: the vertical questions in the run were generic, so every figure above is a whole run or market level figure and is labelled as one. The method sits in what AI assistants actually cite across 597 readings, and the India slice, including which Indian domains the engines used, is in Indian sources won the Indian questions.

Run the check on your own product this week

• Write ten questions the way an Indian buyer types them, with your product name in none of them and a constraint in each.
• Ask each twice in ChatGPT and twice in Gemini, memory off, and record who was named and every source cited.
• Open your pricing page in a plain fetch rather than a browser. That is the version an engine sees.
• Read the access log for OAI-SearchBot, GPTBot, PerplexityBot and ClaudeBot by name, on every host you own.

Questions Indian SaaS teams ask about AI answers

Our pricing is geo priced. What does that do in AI answers?

It gives an engine one version of the page and nothing that signals the others exist, which is how our own pricing page came to be described as having no US pricing. We then did the thing this page tells you to do, on 16 October 2026, a few hours after publishing it: our pricing page now carries a server rendered table of every plan in every region we sell in, so a fetch with no cookies and no accept-language returns dollar, pound, euro and rupee figures in the visible text. The region detection was never the problem and was not changed. A browser sends a network country header or a time zone and gets its own ladder; a crawler sends neither and reached the default, which is deliberately rupees so that an Indian buyer on an en-GB handset is not shown a ladder more than twice his own. What was missing is the thing this section asks for: the other currencies were not in the document at all. Keep the geo switch and add one static page carrying every currency you charge in, with a date on it.

Should an Indian SaaS company publish INR prices if most revenue is in dollars?

Publish both. 102 of the 102 build specs asked for pricing in the reader's own currency, and an Indian buyer reading a dollar only page assumes the product is not sold to them. If you cannot publish a list price, publish the structure: the unit, the tiers, what moves a quote and whether GST applies.

Do G2 and Capterra profiles get an Indian SaaS product recommended?

They are worth completing because they are structured and easy to read, and they are a small share of what gets cited: review directories were 0.8% of the 10,652 citations recorded on 15 October 2026, with g2.com itself appearing in 49 readings. Complete them in an afternoon and spend the quarter on your own pages, which took 85.6%.

Which pages should an Indian SaaS company write first?

The crawlable pricing page with every currency on it, the billing and GST page, one page per integration an Indian back office already runs, and the two comparison pages for the competitors you lose shortlists to.

How do we show data residency in a way an assistant can use?

Name the region in plain text on a page a crawler can reach, list the sub processors, state your position under the Digital Personal Data Protection Act, 2023, and put the date you last reviewed it at the top. A trust centre behind a form is a page no engine will read.

The pricing page is the one to look at first

If you do one thing after reading this, open your own pricing page the way a machine opens it and see which country's prices come back. That page answers the question Indian SaaS buyers ask most often, and it is the one most likely to be telling an assistant something true for one reader and false for the rest. We sell the fix, so read that as a disclosed interest: AI Knows Us reads the buying questions in your category across five assistants and then writes the pages that answer them, and 64 of the 102 build specs asked for that disclosure to sit on the page itself.