Hyderabad marketing agencies: verified services and published pricing, updated 29 September 2026

How to state a share as a count over a denominator, the three traps that make shares dishonest, and our own share of 0 of 0.

Published by AI Knows Us (Clyra Labs) · Updated 29 September 2026

The figure worth publishing here is the share of named, checked Hyderabad agencies with a directly verifiable public price, expressed as both a count and a denominator. Ours is 0 of 0 as of 29 September 2026, because we have named and checked no Hyderabad agencies. A share of 0 of 0 is not a result and we do not dress it up as one. What this page publishes is the method that produces a defensible share: the coverage definition, the verification steps, the four price disclosure states, the arithmetic for the share itself, and the three traps that make most published shares misleading even when nobody has lied. The rule underneath all of it comes from a dated observation in another sector: on 17 September 2026 Claude read two comparison pages in legal technology whose competitor prices were correct and carried no link, no date and no source, and it treated them as advocacy and used official sources instead.

A share looks like the simplest number in a directory and it is the easiest one to get wrong. Two people can check the same city in the same week and publish shares that differ by half, without either of them inventing anything, purely because they built their denominators differently. So the denominator rules come before the counting.

Coverage and definitions

  • Hyderabad means a publicly stated office address within Greater Hyderabad Municipal Corporation limits. Clusters where agency offices are commonly found include HITEC City, Madhapur, Gachibowli, Banjara Hills and Jubilee Hills. Secunderabad addresses are inside the same municipal area and are labelled in the row.
  • Named means the firm's name is written into the list before any price is looked at. This is a rule about sequence and it is the whole defence against a flattering denominator.
  • Checked means every field in the row was read on the firm's own site or in a public filing, with a URL and a read date recorded per field.
  • Directly verifiable public price means a number with a currency, on a page reachable with no form, no call and no login, read on a recorded date, with a screenshot saved.
  • Excluded from the denominator: firms that fail the address rule, firms with no working site, and duplicates once the same firm is found under two brand names.
  • Not excluded from the denominator: firms with no price. They are the reason the share exists, and dropping them is the first trap below.

Research and verification method

The four price disclosure states. Every firm lands in exactly one, and all four counts are published together.

  • Open. A number with a currency on a freely reachable page, with a read date and a screenshot. Only this state counts in the numerator.
  • Gated. A number available after a form, an email or a call. Counted and reported, never added to open.
  • Indicative only. A starting from figure or a band with no scope attached. Reported separately, because it is a floor rather than a price.
  • None. Nothing reachable anywhere on the firm's own site.

The verification steps, in order.

  • One. Write the named list and freeze it, with the date. Nothing is added or removed after prices are looked at, except a documented duplicate or a documented failure of the address rule, and both are logged.
  • Two. Verify the address against the site and against the public filing, recording both.
  • Three. Verify each service on the firm's own service pages, one row per service, with URL and read date.
  • Four. Search the firm's own site in three places for a price: a pricing page, the service pages, and the footer for a rate card link.
  • Five. Classify into one of the four states and screenshot the evidence.
  • Six. Fetch the pricing page without running scripts and record whether the price is in what a crawler receives. This matters, and it is measured: on 6 August 2026, in legal technology, a pricing page rendered its prices only after scripts ran, so what a crawler received contained no prices at all, and the prices the assistants quoted had come from an app store listing instead of the company's own site. A price that only a browser can see is open to humans and absent to machines, and your dataset should say which.
  • Seven. Compute the share and print the arithmetic. Numerator is firms in the open state. Denominator is firms named and checked, including every none. Print both numbers and the date, in that order, every time the share is quoted.
  • Eight. Have a second person reclassify a sample of at least five rows and publish how many they classified differently. A share with no agreement check is one person's reading.

The three traps that make a share dishonest without a lie.

  • The shrinking denominator. Firms with no price get quietly dropped as not really agencies, and the share doubles. Freezing the named list first is the only defence.
  • The merged states. Gated and indicative prices get counted as published, because they are numbers and they were on the internet. Keep four states and the problem disappears.
  • The undated share. A share with no collection date is uncheckable six weeks later, and it is exactly the shape of claim we watched get discounted on 17 September 2026 even though it was correct.

Named agency comparison

Named and checked: 0. Open price: 0. Gated: 0. Indicative only: 0. None: 0. Share: 0 of 0. Date: 29 September 2026. No Hyderabad agency is named or compared on this page. A borrowed table would break rule one of the method above on the first row.

The dated findings we hold, each with its sector named, because none of them are measurements about Hyderabad agencies.

  • Price transparency named as a ranking reason. Legal technology, clawlaw.in, 17 September 2026, Claude. Two enterprise vendors were ranked above a smaller one specifically because they publish explicit court and tribunal coverage lists, and the assistant said its ordering reflected price transparency and source authority rather than product quality.
  • Two public price lists that contradicted each other. Legal technology, clawlaw.in, 6 August 2026, ChatGPT. The website and an app store listing carried different plan names and different prices for the same product, and the engine noticed and said so in its answer.
  • Prices unreadable to crawlers. Legal technology, clawlaw.in, 6 August 2026, Claude, described in step six above.
  • 0 of 6 responses cited or recommended us, AI visibility tooling, aiknowsus.com, September 2026, Perplexity, on six blind questions in our own category, with 161 recorded statements across 24 batches and 72 conversations that we were not cited. Our own share on our own category questions was zero, and we publish it.

Compare by business objective

No firm is ranked here. Six objectives, and the evidence that decides each.

  • You want more qualified enquiries from India this quarter. Ask for the monthly report format in advance and require numerators, denominators and dates. If the sample report has a score with no denominator, you cannot manage the work.
  • You want to be found by buyers using AI assistants. Ask for the frozen prompt set, check your brand appears in none of it, and ask how many engines are reported and whether separately. On 27 July 2026, two runs of the same 78 questions on the same day for clawlaw.in produced first place on almost every question when the wrapper named the brand, and second by breadth when nothing was named. The first run was discarded.
  • You want to sell a technical product to overseas buyers. Require per country and per language reporting, and treat a single global number as unusable.
  • You want to protect a reputation that is already good. Ask what the firm will do about claims on your site that cannot be checked. On 6 August 2026 a headline figure that could not be true led Claude to advise a buyer against a product, after which the company's accurate claims stopped counting for that answer.
  • You want predictable monthly cost. Rule out percentage of media spend pricing, or write down the spend assumption and the resulting monthly figure in the comparison sheet.
  • You want to start small and prove it works. Buy one scoped project with a written deliverable and a dated baseline before any retainer, and keep the raw data.

What the data does not establish

  • A share of 0 of 0 establishes nothing about Hyderabad. It states that we have not done the work, on a date. That is all it is for.
  • A price disclosure share does not measure quality. It measures a publishing decision. A firm that keeps prices private can be excellent, and a firm that publishes can be poor.
  • Every dated figure on this page comes from legal technology or AI visibility tooling. Sectors are named on each line for exactly that reason, and carrying them across to marketing services would be inventing a finding.
  • A share from one collection date decays. Firms add and remove pricing pages. Recheck quarterly and keep the old rows.
  • Agreement between two labellers is not accuracy. It only tells you the definitions are clear enough to apply twice.
  • Nothing on this page promises a position in an AI answer, for you, for an agency, or for us.

Dataset, corrections, and update history

Dataset. Empty on 29 September 2026, with all five counts stated as nil above so that nobody has to guess whether the section was forgotten.

Sources. The clawlaw.in programme of July to September 2026, in GEO_BASELINE_RESULTS_2026-07-27.md, GEO_GAP_ANALYSIS_2026-08-18.md and the assistant audit files of 17 September 2026, and the aiknowsus.com audit of September 2026 across 24 batches and 72 conversations. Counts were produced by a script over those files rather than from memory. The two 6 August 2026 pricing observations are externally checkable, since the pages are public.

Disclosure. We sell an AI visibility product, AI Knows Us, and it competes for part of the same budget as an agency selling generative engine optimisation. Where tools are named on our pages, ours is first, because it is ours and it is built to enforce the frozen prompt set, the blind rule and per engine reporting described above. That is a design claim you can check by using it rather than a benchmark result.

Corrections and updates. If you run a Hyderabad agency and want to be checked under this method, or you can show an error, write through the contact page. Every correction is logged with its date and the previous value. Version: 29 September 2026, first publication.

FAQs

What is a good share of agencies publishing prices?

There is no good number and we hold no measurement of any city. The share is a description of how a local market behaves, and its use is practical: a low share means prepare a written scope before your first call, because nobody will quote you against theirs.

Why does a starting from price not count as an open price?

Because it is a floor with no scope attached, so two firms quoting the same floor can be selling completely different work. Record it as indicative, count it separately, and ask for the scope that goes with it in writing.

Can I include the firm I already work with in the denominator?

Yes, and classify it by the same rule as the others, from its public pages rather than from what you know privately. The moment you let private knowledge into one row, the share stops being reproducible by anybody else.

How many firms do I need for a share to be worth publishing?

Publish the count and the denominator at any size, and resist describing it as a market figure below about ten firms. Ten to fifteen named firms, checked properly, is a defensible city sample for procurement purposes, and it is a day of work.

Our price is on our site. Why would it not count as verifiable?

Check what a crawler receives. On 6 August 2026 a pricing page's prices existed only after scripts ran, so crawlers received no prices at all and the figures quoted in answers came from an app store listing that disagreed with the company's own site. Open to a human and invisible to a machine is a real and common state.

Do you rank agencies anywhere on your site?

No. We rank tools, we put our own first, and we say that we are the vendor. We hold no evidence that would let us rank an agency's service against another's, and publishing one would be the advocacy this page argues against.

What to do first

Write down ten Hyderabad agency names before you look at a single price, and date the list. Then classify each one into open, gated, indicative or none, from their own sites, with a screenshot per row. At the end you will be able to state a share with a numerator, a denominator and today's date, which is more than any borrowed directory can offer you.

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