For growth & performance teams

Growth marketing for the AI shortlist.

See which buyer prompts send demand to competitors, track share of voice by engine, and prove every experiment with before-and-after scans on the same prompts.

How do growth teams measure AI search?

With prompt-level wins and losses: which buyer prompts recommend you, which recommend a competitor, on which engine, and how that changes after each experiment. MentionX measures the answers; it does not estimate AI search volume.

See where AI sends my buyersWatch a scan
Jonas WeberHead of Growth · example persona
ChatGPTChatGPTGeminiGeminiGoogle AI OverviewsGoogle AI OverviewsGoogle AI ModeGoogle AI Mode
Scan 0418 · Vela CRM · exampleReading 4 engines
AI answers, as they land
Google AI Modebest crm for a 40-person sales teamRecommends Kestrel, then Pipewise · cites g2-style-reviews.exampleYou: not listed
ChatGPTkestrel alternativesRecommends Vela second · cites toolcompare.exampleYou: recommended #2
Geminicrm with the fastest setupMentions Vela, recommends Halyard · cites halyard.example/setupYou: mentioned
Google AI Overviewsvela pricing vs pipewiseRecommends Vela for teams under 50 · cites vela.example/pricingYou: recommended #1
Share of voice · this week4 brands
Kestrel−2 pts since last scan41%
Vela CRM (you)+12 pts since last scan34%
Pipewise+1 pts since last scan31%
Halyard−3 pts since last scan18%
Experiment readoutWeek 6
Recommendation Rate on 18 comparison prompts22% → 34%After the pricing page rewrite and two new comparison pages.
Same 18 prompts4 enginesStored answers
4engines200prompts18in this test+12ptsExample data · invented brands
The growth view

MentionX features for Growth & performance: Four instruments for a growth team

01 · COMPETITOR TRACKING

Where AI sends your buyers today

A rival is recommendedYou are mentionedYou are recommended
Competitor Tracking →02 · CROSS-ENGINE MONITORING

Your share of voice, engine by engine

One engine is rarely the whole story. Fix the weakest first.

10 AI engines. MentionX monitors the most →03 · INTENT COVERAGE

Which buyer intents you win

Recommendation Rate in four of the six buyer intents each scan covers.

Intent Coverage →04 · METRICS EXPORT

Numbers that drop into your readout

Export prompt-level results as CSV for your own dashboards, or a Boardroom deck for the growth review. Every row traces to a stored answer.

Q3 growth review · AI search
CSV by prompt and engineBoardroom deckStored answers linked
Metrics CSV Export →

Example data. Invented brands and numbers.

The experiment loop

How Growth & performance teams use MentionX: From baseline to proven lift, in four moves

01Baseline

The first scan sets Recommendation Rate and share of voice on the prompts that matter.

02Pick the prompts

Choose the prompts where a rival wins and the intent is closest to purchase.

03Ship the experiment

Pages, comparisons, listings or PR: change one thing and note the date.

04Re-scan and report

Weekly scans on the same prompts show the lift, with answers as proof.

Jonas WeberHead of Growth · example persona
Sprint planning

Growth & performance in practice: Find the test before the budget moves

Jonas Weber · Head of Growth

Paid is flat. Are we losing buyers before they ever click anything?

You · Growth analyst

On 18 comparison prompts AI recommends Kestrel first on three engines. That is the test for this sprint, and we can measure it weekly.

Example conversation. Invented people and numbers.

Proof

Growth & performance results with MentionX: The experiment, before and after

Before22% Recommendation Rate on 18 promptsWe think AI search matters, but we can't tie it to anything we did.
After 6 wks34% Recommendation Rate on 18 promptsThe comparison pages moved us from 22% to 34% on the same prompts. Here are the answers.

Example only. Invented numbers to show the format.

NovaRecommended$249 /month
  • 4 AI engines, 200 buyer prompts
  • Weekly scans on the same prompts
  • Mentionie, 800 messages a month
  • GEO Content Agent, 30 drafts a month
Choose Nova
The right plan

MentionX plan for Growth & performance: The engines your buyers use, in one plan

Nova covers ChatGPT, Gemini, Google AI Overviews and Google AI Mode with 200 prompts, enough to split tests by intent and engine. Galaxy adds Perplexity. Copilot, DeepSeek, Claude, Grok and Meta AI are add-ons.

Compare all plans
Questions

Growth & performance FAQ: What growth leads ask first

How do growth teams measure AI search?

With prompt-level wins and losses: which buyer prompts recommend you, which recommend a competitor, on which engine, and how that changes after each experiment. MentionX measures the answers; it does not estimate AI search volume.

Does MentionX estimate AI search volume?

No. No AI engine publishes query volumes, so MentionX does not invent them. It measures what engines answer for the buyer prompts you track.

Can we measure an experiment?

Yes. Weekly scans run the same prompts on the same engines, so a change in Recommendation Rate or share of voice after a launch is visible, with the answers behind it.

Which engines does Nova cover?

ChatGPT, Gemini, Google AI Overviews and Google AI Mode. Galaxy covers all 5.

Can we export the data?

Yes. Prompt-level metrics export as CSV, and Boardroom turns a scan into a deck for the growth review.

Other teams

Working with another team?

Your next test

Find the prompts where AI sends buyers to a rival.

Your first scan sets the baseline. Free is a plan ($0, ChatGPT): 20 prompts the first week, then 10 a week. There is no 7-day trial, and payment for a paid plan is asked on the dashboard, after the company URL and the market.

See where AI sends my buyers
Prefer to talk first?Talk to the founder· 20 min