AI competitor tracking

The AI competitor-tracking MCP + API: see who AI recommends instead of you. Your brand vs. competitors, side by side.

The reason most people buy a brand tracker isn't to see their own number, it's to see whose number is bigger. /v1/compare takes a prompt, your brand, and up to 10 competitors, and returns a side-by-side ranking plus a co-mention graph in a single call across all four models.

$1 free on signup
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POST /v1/comparelive

1. You ask your AI, in plain English
Does AI recommend Tabbly or NorthCRM first?

2. Cite42 MCP checks every model for you
→ ChatGPT · Claude · Perplexity · Gemini

3. You get back, in plain English
NorthCRM leads on 3 of 4 models — you trail on price prompts.

WHAT YOU CAN ASK

Ask in plain language. Get structured JSON.

Each is one call against the endpoint, ask in plain English through the MCP, or hit the API directly. Same key, same credit balance.

You ask“How do I rank vs. my competitors?”

You get{ "yourRank": 2, "of": 4, "mentionRate": 0.61 }

You ask“Who does AI name first in my category?”

You get{ "leader": "northcrm", "firstRate": 0.9 }

You ask“Which rivals get named alongside me?”

You get{ "coMentions": ["northcrm", "slate"] }

Why your battlecards are blind

Your win-loss deck names rivals. AI names them to your buyer first.

Sales battlecards and win-loss reports tell you who you lose to and why, after the deal closes. They're built from CRM notes and rep memory, and they go stale the moment a competitor ships. None of them tell you the thing that now shapes the shortlist before a rep is ever involved: when your buyer asks ChatGPT or Gemini for the best option in your category, whose names come back, and in what order.

One call to /v1/compare takes your brand plus up to 10 competitors and a prompt, asks all four models, and returns the field ranked by mention rate and average position, plus a co-mention graph of who AI brackets you with. It's a battlecard that refreshes every time you run it, sourced from the answers your buyers actually read.

See the rival AI names ahead of you, on the exact prompts that decide deals.
Catch a competitor's launch the week AI starts recommending them, not next quarter.
Read the co-mention graph to learn which leader you're framed against.

AI MODELS (4)

Every model, one API key.

One call reaches all 4 AI models, ChatGPT, Claude, Perplexity, and Gemini, or pass “models” to narrow to the ones you need. Billed per model queried.

ChatGPT
OpenAI
Web search on
The highest-traffic AI surface
Claude
Anthropic
Web search tool
Cited, source-grounded answers
Perplexity
Perplexity Sonar
Web-grounded
Always answers from live sources
Gemini
Google
Google Search grounding
Google's own model layer
Google AI Overviews
Google Search
Live SERP
The AI summary atop Google results

PRICED FOR REAL WORK

Real scenarios. Real numbers.

Real workflows, real call counts, real totals, see what this looks like before you commit. Credits never expire.

agency strategist
Build a client onboarding deck
Rank a new client against their top 3 competitors on a 25-prompt buying set across all four models, and open the engagement with where they stand. 25 calls · $7.00 total.
founder
Track the field every quarter
Run your brand plus 5 competitors on the same 20 prompts each quarter and watch your rank move across all four models. 80 calls · $22.40 across the year.
competitive analyst
Map the co-mention graph
Sweep 40 category prompts to see who AI frames you against and which leader you’re bracketed with across every model. 40 calls · $11.20 total.

vs. battlecards and win-loss reports

A static deck built from closed deals, or the live shortlist AI hands your buyer.

Battlecards and win-loss analysis explain why deals went the way they did, after the fact, from CRM data and rep recall. /v1/compare measures the competitive field at the moment of consideration, in the AI answers that build your buyer's shortlist before a rep is in the room. Same competitive question, one looks back, one looks at now.

	Cite42	Battlecards / win-loss
Source of truth	Live AI answers, the shortlist your buyer reads	CRM notes and rep memory from deals already closed
Timing	Pre-shortlist: who AI names before a rep is involved	Post-mortem: why a deal was already won or lost
Freshness	Re-ranks the field on every call, catches launches in days	A quarterly artifact that's stale by the time it ships
Output	Mention rate, average position, and a co-mention graph as JSON	A slide deck a human reads and updates by hand
Integration	MCP-native + REST, your agent calls cite42_compare directly	Manual research compiled into a doc or enablement tool
Cost, full field across 4 models	$0.28 per prompt (brand + up to 10 rivals), or $0 on a cache hit	Analyst hours per refresh, plus an enablement-tool seat

PRICING

Pay per call. $25 minimum deposit. Credits never expire.

This page's endpoints below. See /pricing for the full per-endpoint table.

Endpoint	Price	What you get
POST/v1/compare	$0.07/model	Brand vs. up to 10 competitors + co-mention graph, $0.07 per model per call, all four for $0.28
POST/v1/rankings	$0.07/model	Rank a single brand on a prompt set, the per-brand primitive compare builds on

See all endpoints and the model coverage table →

KEEP EXPLORING

Related endpoints

Same API key, same credit balance, different question.

AI search visibilityAI brand rankingsMention rate, position, and share of voice.Explore ai brand rankings AI searchAI searchOne prompt in, every model's answer out.Explore ai search AI brand sentimentAI sentimentPositive, neutral, or negative, per model.Explore ai sentiment

QUESTIONS

Questions about ai competitor compare.

AI answers don't link to URLs the way Google results do. They cite a few sources but recommend brands by name. If your buyer asks "best CRM for SaaS" and gets "NorthCRM, Loopline, Tabbly", what matters is the brand list, not which URL ranked.

Up to 10 competitors plus your brand in a single /v1/compare call, all on the same prompt across all four models. Need more than 10? Split them across two calls and merge the rankings.

When a model names both you and a competitor in the same answer. High co-mention with a leader means you're being framed in their category. High co-mention with a peer means buyers will compare you head-to-head.

Same underlying data, call official model APIs with web search, count brand mentions. Different business model: they sell monthly subscriptions, Cite42 charges $0.07 per model per /v1/compare call covering your brand plus up to 10 competitors. A 20-prompt sweep across a full four-model competitive set costs $5.60 once, instead of a monthly seat, and a single-model sweep is a quarter of that.

Yes. Brand names are just strings we look for in model responses. No relationship, signup, or permission needed.

READY WHEN YOU ARE

See where you stand vs. your top 3 competitors.

$1 free on signup. Run one compare on us.