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Quattr MCP at work · AI visibility

Are AI assistants citing your brand?

You check by tracking citation rate: of the tracked questions each assistant answers, the share where your brand is cited as a source, measured weekly across ChatGPT, Gemini, Perplexity, Claude and Google AI Mode. Read each surface separately. In the video, one surface fell 15 points in one week while the other four held steady.

The recording below is the whole workflow: 3 ordinary questions, asked in an AI chat with Quattr connected.

Recreated from an anonymized session Rebuilt from a real, anonymized account session. The interaction is faithful to the original run; the figures shown are changed or illustrative.
Asked in
ChatGPT
Length
1 min 22 sec
Data source
AI visibility
Account shown
Recreated session · figures changed

Watch the run Run it on my data →

Your next customer might never see a results page.

◐ Recreated from an anonymized session
Read the transcript ↓
Share this run Post on X ↗ Share on LinkedIn ↗

This run

Asked in ChatGPT the chat the team already uses
Connected through Quattr MCP read-only bridge
Sources AI visibility read with your permissions
Analysis AI visibility pulse named, bounded, never freeform
Agent or job Conversational MCP demonstration no catalog Agent claimed
Returned Finding, next move, evidence scope and window printed on the card

In this video, it tracks how often five AI assistants cite one brand, week by week, and writes up the finding.

What the run returned

The numbers set the scope of the problem; the decision names the work that moves it.

−15 ptsGemini citation rate, one week
5AI surfaces tracked weekly
1report, ready to send
Next moveRead the report's topic-level evidence before touching content, the drop is one surface, not a site problem. FindingGemini's citation rate stepped from 31% to 16% in one week while every other surface held steady; Gemini sentiment fell with it. weekly · 5 AI surfaces · tracked prompts ⚠ Observational

Run the same analysis in a Quattr-connected AI chat

Three prompts, copied exactly as written; the video shows what comes back.

Requires the Quattr MCP connection to read your organization's data. The prompt alone will not return your numbers.

  1. Prompt 1 How is our brand doing across AI search? Show me the trend for the last 3 months.
  2. Prompt 2 Break that down further: share of voice, mentions, and sentiment for each platform.
  3. Prompt 3 Is this our content failing? Write the whole thing up for the team.

How Quattr produced the answer

An ordinary question, answered from your own named sources.

Quattr MCP is the read-only bridge between your AI client and Quattr's connected search data and analytical tools. Agents and Skills turn those tools into repeatable search work.

Where you ask AI client The chat your team already uses. The question is typed in plain language.
The bridge Quattr MCP Read-only access to your connected search data and Quattr's analytical tools.
The method Skills and Method The expert steps and the evidence rules, significance, scope, freshness, refusal.
The jobs Agents Repeatable search jobs built from the same capabilities.
The packaging Agent Plugin Packages the MCP connection and orchestrates it with Skills and Method where that delivery model applies.

What decides whether an assistant cites you?

Five things that decide it; each with the sign to look for and the fix that moves it.

01The assistant never read your page

An AI can only cite what its crawler fetched, and those crawlers follow their own rules. You will see AI crawler visits missing or falling in your server logs while Google stays normal. The fix: allow the AI crawlers you want citations from, and confirm they fetch the pages that answer questions.

02Your pages explain, but never answer

Assistants quote sources that state the answer in one extractable block. You will see citations flow to step lists and direct definitions rather than to long narrative pages. The fix: open each key page with the answer in two or three sentences, then keep the depth below it.

03The platform changed what it favors

Each assistant re-tunes which source types it trusts, and a step change on one surface is usually them, not you. You will see one platform drop in a single week while the others hold steady. The fix: compare answers before and after the break, see which source types replaced you, and earn presence there.

04You are thin where the assistant retrieves

Most assistants still retrieve from search results before they write. You will see weak rankings on the question phrasings people actually ask assistants. The fix: cover those question phrasings on pages you already rank with, so retrieval finds you first.

05You track the wrong questions, or none

Citation rate only means something against a steady basket of tracked questions. You will see numbers that swing because the questions changed, not the answers. The fix: track a fixed set of prompts per topic, weekly, per surface, and grow it deliberately.

Transcriptmachine-transcribed · corrected for product terms

0Quick question. When someone asks an AI assistant about your space, do you show up?

6So, we just ask. Plain and simple. It's scanning every surface through the Quattr MCP, week by week.

16And there's the chart. Every surface, week by week.

21Look at that. Jemini falls off a cliff in late June, 15 points in one week, and everyone else held steady.

30Now, let's go wider than citations.

35Share a voice, mentions, and sentiment too. And it's interactive. Pick a surface, everything updates.

44There's Jemini, sentiment dropping too. And the question that matters. Is it our content? Let's get it written up.

54Checking topics and our pages, then writing the report.

1:00And look at this. A proper report. Summary, findings, the evidence, and the plan. Ready to send as is.

1:12That's the Quattr MCP. Citations, share a voice, mentions, sentiment. Every surface, one chat.

Frequently asked questions

Were the numbers in the video real?

This video is recreated from an anonymized session: the interaction is faithful to a real run on a connected account, and the figures shown have been changed or are illustrative rather than a customer’s own numbers.

Can the Quattr MCP check AI citations for my brand?

Yes. Connect Quattr to your AI chat once, then paste the three prompts above: the trend across surfaces, the per-platform scorecard, and the written report. Quattr tracks your prompts daily across ChatGPT, Gemini, Perplexity, Claude and Google AI Mode.

How does it know when a drop is the platform, not my content?

It checks how the drop clusters. Content decay is topical: a few themes fade while others hold. A platform change hits nearly every theme at once while your cited pages stay the same, which is exactly the pattern the video finds.

Where do these prompts run?

In any AI chat that can use connectors (the standard is called MCP). The prompt never names Quattr; the connection is what routes the question to your data, which is why it reads like an ordinary question.

What data can the Quattr MCP read?

Search Console clicks, impressions and rankings, web analytics, paid search, search market share against competitors, AI visibility across assistants, and Core Web Vitals. Every answer is pulled live from the connected account, so the numbers match what your dashboards show.

Find out if the assistants cite you

Connect Quattr once and these prompts chart your citation rate across ChatGPT, Gemini, Perplexity, Claude and Google AI Mode, week by week.

New to Quattr Run this analysis on my data We run these questions against your own sources during the call.
Already use Quattr Connect Quattr to my AI client One connection, then any question in this library runs on your account.

Read-only · OAuth 2.1 · existing Quattr permissions · no API keys