Quattr MCP at work · AI search rivals
Why are your AI search competitors different?
AI search competitors differ from Google competitors because the two surfaces reward different pages: assistants cite explainers and comparisons they can quote, while Google can rank documentation, free tools and big general sites. The domains above you rarely match, so compare both lists before copying anyone. In the video, the Google leader was missing from AI answers entirely.
The recording below is the whole workflow: 4 ordinary questions, asked in an AI chat with Quattr connected.
You know who beats you on Google. AI search has a different list.
◐ Recreated from an anonymized sessionMeet your real AI search rivals
This run
In this video, it ranks 26 tracked domains to reveal a different rival list inside AI answers.
What the run returned
The numbers set the scope of the problem; the decision names the work that moves it.
Run the same analysis in a Quattr-connected AI chat
Four 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.
- Prompt 1 Who are we actually up against inside AI answers?
- Prompt 2 Is that the same list that outranks us on Google?
- Prompt 3 Where do we stand on each AI search surface?
- Prompt 4 What are the leaders doing that we are not?
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.
How the Quattr MCP works → See these sources joined in one answer →
Why do AI answers pick different winners?
Five causes; each with the sign that reveals it and the fix that closes the gap.
01Assistants recommend; Google matches
An assistant composes a recommendation and cites the pages that back it up, while Google ranks whatever best matches the words typed. You will see product and comparison companies leading AI answers while big general sites lead Google. The fix: track the two lists separately, and stop treating your Google rivals as the whole field.
02Different page formats win each surface
Assistants quote explainers and comparison pages, while Google will happily rank documentation and free tools that no answer cites as a recommendation. You will see the Google leader missing from AI answers, and AI regulars missing from your Google list. The fix: publish the formats the cited pages share, starting with comparison pages.
03Each assistant keeps its own sources
ChatGPT, Claude, Gemini and Perplexity read and cite the web differently, so the standings shift from one to the next. You will see yourself near the lead on one assistant and near the bottom of another over the same weeks. The fix: rank the surfaces by your gap to the leader, and put the quarter's work where the gap is smallest.
04Pages built to sell rarely get cited
A page written to sell does not read like an answer, so assistants pass over it when they compose one. You will see rivals earning citations from comparisons while most of yours come from product pages. The fix: keep the product pages, and give each one an explainer and a comparison an assistant can quote.
05People ask assistants to choose
Searchers type fragments into Google but ask assistants for a shortlist, so the contest moves to whoever the cited pages recommend. You will see a handful of comparison questions deciding most of the citations in your category. The fix: answer those questions directly on your own pages, naming the options and where each fits.
Transcriptmachine-transcribed · corrected for product terms
0Every team knows the handful of names that beat them on Google, but inside the AI answers, the list is not the same one.
8Let us go and see who is actually there.
11So the first thing I want is simply the leaderboard for the answers themselves.
17It ranks every competing domain by its share of the AI answers through the Quattr MCP.
25And there is the field, Linkhaven and Rankfort out in front, and we are fourth of 26.
31And notice what every single one of them is, a product with explainers and comparisons behind it.
40Because the obvious question is whether this is the same list we already fight on Google.
48So it puts the two leaderboards side by side and lines them up domain by domain.
55And watch what happens when it switches over to the Google side of that.
1:01Dev base and page meter win Google.
1:05They win nothing in the answers because nobody recommends a docs page.
1:11So then I want our own position on every surface we are tracked on.
1:17It takes our share and our rank across all five of them at once.
1:24And they are nothing like each other.
1:27Second place on one, sixth on another.
1:31Two of the five have us in the top three, and those are the ones worth a quarter of real work.
1:39Which leaves the question I actually came here to answer.
1:43What are they doing that we are not?
1:46It compares the pages getting them cited against the pages getting us cited.
1:53And there it is. Comparisons are the biggest single source of citations for both leaders.
2:01Ours are product pages, which the answers barely touch.
2:05So it hands back three moves and the surface to start on.
2:11So we came in thinking we knew the competition.
2:14And we leave with a different list.
2:16A surface we are nearly winning and the format that actually gets cited.
2:21That is the Quattr MCP.
2:23It tells you who you are really up against and how to beat them.
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 map my AI search competitors?
Yes. Connect Quattr to your AI chat once, then paste the four prompts above. The same sequence runs on your own numbers: who leads your AI answers, whether that matches Google, where you stand on each assistant, and what the leaders publish that you do not.
How does it know who appears in AI answers?
Quattr tracks a set of questions in your category and records which domains each assistant cites when it answers, week after week. Share of voice is each domain's slice of those citations, so the leaderboard comes from observed answers rather than estimates.
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.
Meet your real AI search rivals
Connect Quattr once and these prompts rank the domains inside your category's AI answers, set them against your Google list, and show what the leaders publish.
Read-only · OAuth 2.1 · existing Quattr permissions · no API keys