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Embrisk

AI search visibility

Your clients are being recommendedin answers you cannot see.

An answer engine names three companies and moves on. There is no results page to check, no position to screenshot, and the same question returns something different tomorrow. Embrisk samples those answers continuously and turns them into a figure you can put in front of a client.

  • Six engines
  • 1,248 prompts sampled daily
  • Observation counts on every figure
Visibility by engineDemo data
  • ChatGPT+14.2%72%
  • Google AI Overviews+8.6%61%
  • Gemini+11.4%49%
  • Perplexity−3.2%43%
  • Claude+5.9%37%
  • CopilotLimited coverage+2.4%29%
Six engines, weighted by prompts tracked. Where a provider limits what can be observed, the interface says so rather than filling the gap.

What changed

There is no page one in ChatGPT.

Your reports assume a ranked list and a position on it. An AI answer has neither. It names a few companies and moves on, so you need a different way to measure it.

How the unit of measurement differs between traditional search and answer engines.
The unitWasA keywordNowA question, asked in someone’s own words
The resultWasTen blue links, in a fixed orderNowOne synthesised answer, different every run
The winWasRanking firstNowBeing named, and being the source that was cited
The evidenceWasA rank trackerNowSampled answers, counted over a window
The reportWasPosition changed from 4 to 2NowNamed in 68% of answers, cited in 41%, up 12 points

AI search

Know exactly how your clients appear in AI search.

Being mentioned is the least interesting thing an answer can tell you. What decides whether a client wins the category is where they land, which sources the model leaned on, and who it named instead.

  • MentionsNamed at all
  • PositionWhere in the answer
  • CitationsLinked as a source
  • SourcesWhich domains fed it
  • CompetitorsWho else appears
  • PromptsWhat triggered it
  • Share of voicePortion of the category
  • SentimentHow it is characterised
  • ModelWhich engine and version
  • GeographyWhere it was asked
  • IntentWhat the asker wanted
Sampling logDemo data

Observations today

4,820

Prompts tracked

214

Engines

6

  • 09:14“best accounting software for small businesses”ChatGPTCited#2
  • 09:14“best accounting software for small businesses”PerplexityMentioned#5
  • 09:13“alternatives to QuickBooks”AI OverviewsAbsent
  • 09:13“payroll software for a 20-person company”GeminiCited#1
  • 09:12“switching accounting platforms mid-year”ClaudeMentioned#3
  • 09:12“accounting software with open banking”ChatGPTAbsent
  • 09:11“best accounting software for startups”CopilotMentioned#4

Generative answers vary between runs. Every figure on this page is a sample estimate over a window, reported with the observation count behind it.

AI visibility

One client, every engine, one number you can defend.

Visibility is aggregated from thousands of sampled answers and broken back down by engine and competitor, so you can always say where a figure came from.

Meridian DigitalDemo data
AI search visibilityLast 90 days

AI visibility

64.8%+18.4 pts

Across 6 engines, sampled daily on priority prompts

Share of voice34.8%+6.2%
Mention rate52.1%+9.3%
Citation rate38.7%−2.1%

Visibility by engine

Share of sampled answers naming the client, with observation counts

  • ChatGPT+14.2%72%
  • Google AI Overviews+8.6%61%
  • Gemini+11.4%49%
  • Perplexity−3.2%43%

Share of voice

Category: small-business accounting

  • Alder AccountingYour client+6.2%34.8%
  • Ledgerly−1.8%27.1%
  • Countway+2.6%21.4%
  • Bookmark Books−4.1%16.7%

Position when named

Where the client lands in answers that mention it at all

  • First named18%
  • Second24%
  • Third21%
  • Fourth or later22%
  • Not named15%

Coverage differs by engine. Where a provider limits what can be observed, the interface says so rather than filling the gap with an estimate.

Prompt intelligence

Track the questions that decide your client’s category.

Rankings used to be the unit of work. Now it is the question, and a client can lead one phrasing while disappearing from the next.

214 prompts tracked · refreshed daily

Demo data

Select a prompt to see the competitor leading it, the engines it was observed on, and whether the client was cited rather than merely named. Prompts are grouped by intent so a research question is never scored against a buying one.

In practice

What an agency does with it.

Measurement is only worth paying for where it changes a decision. These are the three it changes most often.

Win the pitch

Sample a prospect’s category before the first call and show them where they stand against the three competitors they already worry about. A specific absence beats a generic audit.

Defend the retainer

When a client asks why AI mentions dropped, the answer is on screen with the prompts, engines and dates attached, not assembled over the following three days.

Price the new work

A measured gap is a scope. Prompt coverage, competitive position and citation share are all things a proposal can be written against.

Find out which of your clients AI is skipping.

Name one client. We email their AI visibility snapshot within 24 hours. No call needed.

  1. Name one client

    Their website, and where to send the result.

  2. We ask the engines

    12 questions their customers ask, on ChatGPT, AI Overviews and Perplexity.

  3. In your inbox in 24 hours

    Where they stand and what to fix first.

Free, with no card and no call. When you sign up, that client is already in your workspace.