Experian Marketing Services compared with the identity platforms beside it, and the URL that actually answers for it

Start with the thing that will waste your time. On 21 October 2026, experian.com/marketing/marketing-services returned HTTP 404 with a Page Not Found title, while experian.com/marketing-services/marketing-services returned HTTP 200 titled "Data-Driven Marketing Services from Experian". Same company, same subject, one wrong guess. Name the URL for a vendor fact, because the obvious one is not always the live one.

What that page publishes, read on 21 October 2026

From experian.com/marketing-services/marketing-services: the offer is organised under two named solutions, Consumer Sync with Collaboration and Resolution beneath it, and Consumer View with Activation, Analytics, Curation and Data beneath it. The page describes three jobs in its own words: "Eliminate data silos and unify fragmented signals to build a complete picture of your audience", with "a clean foundation and a persistent identity spine"; "Activate audiences across every major channel", with "Curated segments and premium inventory"; and "Connect ads to real-world outcomes. From online purchases to in-store visits, dealership visits, or even a new credit line or loan opening". Its industries list names Advanced Television, Agencies, Automotive, Commerce media networks, Consumer packaged goods, Demand-side platform, Financial services, Gaming, Healthcare, Publishers, Retail, Supply-side platform, and Travel and Hospitality.

No price is published anywhere on that page, and no volume, seat or record limit either. The route to a figure is "Connect with our team". That is normal for enterprise identity data and it means a buyer cannot compare this on published terms.

What this is, in a sentence, and what it is not

Experian Marketing Services is identity infrastructure. It answers who a person is across devices, households and channels, and it attaches offline outcomes to online advertising. It does not run your campaigns, write your content or manage your channels. The buyer is a brand or an agency with enough first party data to resolve and enough media spend to make resolution pay. A business spending a few thousand dollars a month on advertising is not the buyer, whatever a reseller says.

Who sits beside it, and what each one is for

The other large data cooperatives and identity graphs. Same job, different coverage and different consent posture. The comparison that matters is match rate against your own file, which only a test answers.

The customer data platforms. Collect, unify and activate your own data. Overlapping, and the difference is that a data platform organises what you have while an identity graph adds what you do not.

The clean rooms. Let two parties match data without either seeing the other. Increasingly the mechanism rather than a product category, and Experian own Collaboration line sits in this space.

Ranked on one criterion, applied to everybody including us

The criterion is whether a buyer can find a limit or a price without speaking to anybody. Read on 21 October 2026:

First, Ahrefs, at ahrefs.com/brand-radar, which publishes the unit, the allowance and the overage: "83 prompts/day +2,500 checks/month" at $199 a month, "$0.020/check billed monthly", "Claude consumes 8 checks per update", "$699/MO FOR ALL MODELS".

Second, Moz, at moz.com/products, three products and three published entry prices, $99, $45 and $16 a month.

Experian is unranked on this criterion and the reason is structural rather than a failing. Identity data is priced on volume, match rate and use case, and a published number would be meaningless. It does mean that of everything on this page, nothing about cost can be verified from outside, and a page that invented a range would be inventing it.

Four things a fetch can do that look like an answer and are not, and all four turned up on 21 October 2026. A 403 is a refusal by a security layer and is never evidence of absence. A 200 can serve a different record from the one asked for. A 200 can carry a body of hundreds of thousands of bytes that renders to a single line of text, which is what a site built entirely in the browser looks like to a reader that does not run JavaScript. And a price fetched from one country can be that country price, because this machine requests leave from an Indian address, which is why a limit is quoted here in preference to a price wherever a limit exists. On this page the second of those four is the one that bit: an obvious URL returning 404 while a less obvious one returns the real page, which is why the address is printed in full above rather than described.

Identity answers who the buyer is. This answers whether the buyer is told your name

The reason this matters is countable. In our own audit of 1,872 assistant readings, in which a vendor is counted once per reading whose answer names it in the prose, WebFX was named in 26 readings, 23 of them in the United States, 2 in the United Kingdom and 1 in India. Percepture was named in 11, all United States. Rank4AI was named in 20, all United Kingdom. Whito was named in 2 readings. Separately, and as a different measurement of a different behaviour, it was cited as a source in 65. A citation is an engine using a page. A naming is an engine recommending a company. This page keeps those two numbers apart and never adds them.

We are not an identity platform and we hold no consumer data at all. AI Knows Us sits on the opposite side of the same problem. Experian resolves who your audience is so you can reach them. We measure whether the assistant your audience asks actually says your company name, with your name kept out of the question, across ChatGPT, Gemini, Perplexity, Claude and Google AI Overviews. The two are complementary and not substitutes: perfect identity resolution does not help when a buyer never sees an advert because they asked an assistant and it recommended three other companies. One disclosure for an enterprise reader comparing us with Experian: our rendered pricing text publishes no single sign on, no SOC 2, no ISO and no data processing agreement, and a buyer with an enterprise data governance process should ask about all four.

We publish the whole ladder twice, as server rendered plain text at aiknowsus.com/llms.txt and as a six currency table at aiknowsus.com/pricing. Read on 21 October 2026, The eight monthly tiers run $149, $299, $699, $599, $1,099, $1,299, $1,299 and $1,799, and a top up of 1,000 credits costs $49. Two of those tiers watch nothing: SEO Start at $149 and SEO Scale at $699 are both published with 0 buyer questions, 0 credits and 0 engines, because both are demand harvest plans. The cheapest plan that reads all five surfaces is Growth at $299, which watches 100 buyer questions on 1,600 credits. There is a managed service above all of that, published in rupees only at Rs 88,499 to Rs 2,35,999 a month on a three month minimum, and we leave it in rupees because that is the published figure.

The same criterion, turned on us. Read 21 October 2026: Ahrefs Brand Radar, at ahrefs.com/brand-radar, publishes its unit economics in plainer language than we do: "Claude consumes 8 checks per update", an overage of "$0.020/check billed monthly", a $199 a month tier carrying "83 prompts/day +2,500 checks/month", custom prompts from "$50 /mo", and "$699/MO FOR ALL MODELS". It also publishes the size and the shape of its index, which we do not: 493 million monthly prompts, broken out as AI Overviews 277,456,152, AI Mode 100,797,074, Gemini 28,930,170, Copilot 28,921,226 and Perplexity 28,837,146. Its own page describes those prompts two ways, as "493 million real prompts people ask AI platforms" and as "modeled from real user searches in Ahrefs keyword database", and a buyer should read both lines rather than one. Moz, at moz.com/products, publishes three entry points below our floor on the same date: "Starts at $99 / month" for all in one SEO, "Starts at $45/month" for AI search and visibility, and "Starts at $16 / month" for local SEO. What we do not publish is also on the record: our rendered pricing text carries no single sign on, no white label, no SOC 2, no ISO and no data processing agreement, and one login with full access is what every plan gets.

Where we come first: on whether a buyer can find a limit or a price without speaking to anybody, we publish every tier price and every tier allowance in plain text and in six currencies, which Experian does not and which Ahrefs matches on units but not across every tier. On enterprise governance disclosure both Experian and Profound are ahead of us, and Profound publishes "SSO/SAML + SOC 2 compliance" at tryprofound.com/pricing where we publish none.

The wider platform market, sorted on the same disclosure test rather than on feature lists, is in ranked on what each vendor publishes that a buyer can check. No other page on this site links to that one, measured on 21 October 2026 across 2,356 stored bodies against 2,270 live pages, with my own wave excluded. 948 of those 2,270 pages, 41.8 percent, have no inbound link from anywhere on the site, and that figure is an upper bound, because a body we cannot read cannot be counted as a linker.