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Alternatives to Blusteak Media and White Bunnie: when a named firm's best proof sits in a different trade from the one you are buying

Blusteak Media was named in 8 of 1,260 readings and White Bunnie in 6, both entirely on one engine, and each was cited through exactly one page of its own site. Both are capable full service shops. Here is the evidence to ask for instead, and a measured look at the machine readable file nine Indian firms either wrote or had generated.

Published by AI Knows Us · Updated 21 October 2026

Both of these firms are good at something, and in each case the thing they are best at showing you is not the thing an assistant recommended them for. Across 1,260 readings dated 16 October 2026, Blusteak Media was named in the prose of 8 and White Bunnie in 6, every one of the 14 on Gemini and every one in the India set of 420. Each firm was cited through exactly one page of its own site, the generative engine optimisation page in one case and the AI search page in the other. Open the rest of either site and the published proof is campaign work or borrowed category statistics. So the alternatives question here is really an evidence question: what should you ask a full service shop to show you when the line you are buying is AI visibility.

The counts, and which measure each one is

The run is 1,260 readings dated 16 October 2026: 420 in each of the United States, the United Kingdom and India, 630 put to ChatGPT and 630 to Gemini, across 250 distinct questions. A firm counts once per reading however many times it is written there.

  • Blusteak Media: named anywhere in the prose, 8 readings. Named inside a markdown bold, 8. Named in a bold that is only the firm's name, 6.
  • White Bunnie: named anywhere in the prose, 6 readings. Named inside a bold, 5. Named in a bold that is only the name, 4.

Six and eight namings is a real answer the engines give and a thin basis for any superlative, which is what this page tells you rather than hiding. The bolds are instructive: one reading bolded "Blusteak GEO Services" and another "White Bunnie AI SEO". The engine is naming the service line, not the firm's wider business.

A separate count, over the same readings, of whose pages were used as sources

This is a different question with its own number, and nothing here adds the two or treats one as a version of the other. Counting readings whose source list carried each firm's own domain: blusteak.com appeared in 6 of the 1,260, all 6 on Gemini, and every one of those 6 cited the same single address, its generative engine optimisation service page. whitebunnie.com appeared in 4, all 4 on Gemini, and all 4 cited its AI search page.

One page each. That is the whole surface either firm presented to these engines in this run, and it tells you where to start reading.

What each site publishes, read on 20 October 2026

Fetched the same day under two user agents with identical responses.

Blusteak Media describes itself in its page title as a digital marketing agency in Kerala and states two offices in Kottayam. Its service page for this work is live and specific, naming six components: query intent and keyword research, AI optimised content structuring, schema and technical optimisation, natural language processing enhancement, content gap work and generative testing. Its published case studies are campaign and commerce work, and they are strong: an Onam street campaign in Kochi, a campaign it records at 2.6 crore views, a sweet brand scaled with a stated sales figure and a return on ad spend, and film work for a car brand.

White Bunnie describes itself in its page title as an AI SEO agency in India offering AI optimisation, answer engine and generative engine services, in a navigation that also carries web development, social, branding, paid advertising and content marketing. Its AI search page publishes a benchmark block headed as next generation metrics, subheaded 2025, carrying four percentages about click share, click through rate at position one and how often AI Overviews appear. Those figures are published without a named source beside them. That is a two minute fix rather than a flaw in the firm, and asking for it is the most useful thing a buyer can do to any agency page, because a figure with a source and a date is a figure you can carry into a board paper.

The machine readable file, measured across nine Indian firms

A file at the llms.txt path is a short public index written for machines to read. One fetch of that path on each domain, 20 October 2026:

Firmllms.txtSizeWho wrote it
Blusteak MediaHTTP 200583KB over 344 lines, one line of 272,607 charactersGenerated by an SEO plugin, which the file says on its first line
White BunnieHTTP 20081KB, 232 linksGenerated by the same plugin, stated on line one
LeadnexaHTTP 20013KBGenerated by a different SEO plugin, version named in the file
SEO India OnlineHTTP 2002.6KBGenerated by a third plugin, version named
ScriptbeeHTTP 20028KBHand written, opening with a sentence describing the product
Redefine ROIHTTP 2007.5KBHand written, naming the engines it works on
Mediaverse DigitalHTTP 20086KB over 750 lines, no markdown links at allHand written, with a stated citation policy and a summary per article
VryseHTTP 404None served on that date
Digistreet MediaHTTP 404None served on that date

Seven of nine serve one, a higher rate than the four largest Indian firms in the same measurement manage between them. And the firm cited most heavily in this whole vein is one of the three that wrote its own file. That is one case out of nine on a single date, so it belongs here as an observation to check rather than a rule to follow. The part that stands on its own is simpler: a file whose longest line runs to 272,607 characters of pasted post openings is a sitemap with a new name, and a file that opens with one written paragraph about the business is a description. Writing the second takes an afternoon.

The evidence to ask a full service shop for

  • One dated before and after from this work, not from a campaign. A named question, the answer the engine gave before, the answer it gives now, and the dates of both.
  • The question set in writing, with your brand name absent from it. A question containing your name returns a flattering answer and measures the question.
  • The engines named one by one, with which tier each sits in, because a report covering one assistant describes one assistant.
  • A source and a date beside every statistic in the proposal. Apply it to the agency's own pages and to ours.
  • Who keeps the raw answer log when the contract ends.

Kerala is also a market where the choice is often a practitioner rather than a shop, and that decision, what to hire and how to judge it, is set out in hiring a consultant in Kochi. When this page was written, nothing else on this site pointed at that one. The link above is now its only durable inbound link. Measured 22 October 2026: 1,168 of our 2,902 live pages still carry none.

Where we come into this, and what both firms do better than we do

A disclosure, placed beside the list above because that list sends work towards measurement suppliers: we sell an AI visibility subscription, so we compete for part of the same Indian budget as both firms named here. Our own result from the same 1,260 readings, on the same measures: AI Knows Us appeared inside a recommendation bold zero times, and in the separate source count our domain appeared in 6 readings, all 6 on ChatGPT, with 2 in the India set and none of the 630 Gemini readings anywhere. On being named in India, both firms on this page are ahead of us.

They also sell things we do not. Blusteak produces films, runs influencer work and ran a mass market Onam campaign at a scale no measurement product touches, and it has people in Kerala who will sit with a local brand. White Bunnie carries web development, branding and paid media under one roof, and offers a free audit before any commitment. What we publish instead is narrow: the question bank, the engines each reading used, the raw exports, the dates, and the readings where our own name did not appear.

Questions about Blusteak Media, White Bunnie and the alternatives

Is six or eight namings enough to shortlist a firm?

It is enough to put a name on the list and far too little to rank it first. Treat the count as a prompt to read the firm's own page, then judge the firm on the evidence it hands you.

Why were both firms named only by one engine?

All 14 of these namings came from the 630 Gemini readings with none from the 630 on ChatGPT. A shortlist assembled by asking one assistant is a shortlist for one assistant.

Should a creative portfolio count towards an AI visibility decision?

It counts for the work it shows, which is campaign and production work, and that is genuinely valuable if your brief includes it. For the AI visibility line, ask for a dated reading instead, because that is the deliverable you are paying for.

How do I check an unsourced percentage on any agency page?

Ask for the study, the sample size and the collection date, in one email. A figure that comes back with all three is usable. One that comes back without them goes in the bin and the page is better for losing it.

The one request that sorts a shortlist of full service shops

Ask each of them for a single dated reading of one buyer question, taken before and after their work, with your brand name absent from the question. Both firms on this page were recommended through one service page each, and a service page is a description of intent. A dated reading is the trade's only first party result, and the shop that can produce one for a previous client is a different proposition from the shop that can produce a reel.

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