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AI visibility tracking: see if AI recommends you

Ask AI engines the questions your buyers ask. MentionX stores every answer and records whether your brand is absent, mentioned or recommended, and who is picked instead.

Start freeSee how it's calculated
BUYER PROMPTSAI ENGINESWHERE VELA CRM LANDSUSE CASESBest CRM for a 20-person sales team?COMPETITIVEKestrel vs Vela CRM: which is better?BUYING CRITERIAWhich CRM is easiest to set up?ALTERNATIVESPipewise alternatives for small teamsASKINGChatGPTGeminiGoogleAI OverviewsGoogleAI Mode4 engines on NovaEach comet is one stored answerFIRST CHOICERanked #1 in the answer7%RECOMMENDEDOn the shortlist, not #123%MENTIONEDNamed, not recommended25%ABSENTNot in the answer45%
Answers stored this scan800
Mention Rate55%
Recommendation Rate30%
Mention-to-recommend gap25 pts
Example: Vela CRM is an invented brand, scanned on Nova (200 prompts × 4 engines).
The definition

What is AI visibility tracking?

AI visibility tracking measures whether AI engines mention and recommend your brand when buyers ask real questions, and how that changes week to week. MentionX stores every answer, so each number opens the answer behind it.

The unit is one answer
One prompt, asked on one engine, on one date. Stored before anything is scored.
Measured weekly
The same prompts re-run every week, so a change in the answer shows up as a change in the number.
Not rank tracking
Rank tracking records where a link sits. This records whether the answer itself names you.
What's the best CRM for a 20-person B2B sales team?

For a 20-person B2B sales team, most reviews point to two CRMs. Kestrel#1 is the usual first pick, with quick pipeline setup and solid email sync. Pipewise#2 suits teams that want forecasting built in. Some teams also consider Halyard, though reviewers rate its pipeline tools lower.

No sources cited in this answer.
Recorded for Vela CRMAbsentNot named. Two rivals are recommended instead.
MentionRecommendFirst choice
Example answers. Kestrel, Pipewise, Halyard and Vela CRM are invented brands.
Four outcomes

Every answer puts your brand in one of four places

MentionX reads each stored answer and records where you sit. Mention Rate, Recommendation Rate and First-choice Rate are these outcomes, counted.

Absent

The answer doesn't name you. Rivals may be named instead.

…most reviews point to Kestrel and Pipewise. Vela CRM
Mentioned

You're named, but not on the shortlist the answer gives.

…Vela CRM also comes up as a newer option.
Recommended

The answer ranks you in its shortlist of picks.

2. Vela CRM is a good fit for small teams…
First choice

You're the answer's #1 pick.

1. Vela CRM is the best fit for a team of 20…
Mention Rate counts these3 outcomes
Recommendation Rate2 outcomes
First-choice Rate1
The calculation

How AI visibility is calculated

A scan asks every prompt on every engine in your plan, so the denominator is prompts × engines. Each square below is one stored answer. Pick a rate to light up the answers it counts.

First choiceRecommendedMentionedAbsent
Each block is one engine: 200 prompts, 200 squares.800 answers this scan
Mention Rate = answers that name youall answers
436 ÷ 800 = 55%800 = 200 prompts × 4 engines
25 ptsAI names Vela CRM in 200 answers without recommending it.

Example data for an invented brand. Counts are calculated in code from stored answers; formulas are published on the methodology page.

0%20%40%60%80%W1W2W3W4W5W6W7W8Comparison page publishedCited by two review sitesMention Rate 55%Recommendation Rate 30%
Mention RateRecommendation RateGap between them
Week over week

Tracking is the trend, not one scan

One scan is a baseline. Weekly re-runs on the same prompts show whether your work moved the answer, and the stored answers show why.

Recommendation RateWeek 1 to week 8+8 pts
Mention RateWeek 1 to week 8+4 pts
Mention-to-recommend gap29 pts to 25 pts−4 pts
Example data for an invented brand.
The method

How to track AI visibility, step by step

  1. Day 0

    Set the prompts

    Enter your URL. MentionX proposes your category, competitors and buyer prompts across six intents. You edit the list.

  2. Day 1

    Run the baseline

    Every prompt on every engine in your plan. Answers are stored before anything is scored.

  3. Week 1

    Read the losses

    Start with prompts where a rival is recommended and you're absent. Open the answer and the sources it cites.

  4. Weeks 2–4

    Fix one gap at a time

    Publish or update the page, earn the citation, then let the weekly re-run show whether the answer moved.

  5. Monthly

    Report the trend

    Recommendation Rate by engine and intent, with the stored answers behind every change.

Reading the results

Five patterns worth acting on

Once a few weekly scans are stored, these patterns tell you where to look first.

Every chart here uses one colour code

Coral: absent, or a rival aheadBlue: mentioned, not pickedMint: recommendedSilver: first choice, or you

Mention Rate well above Recommendation Rate

AI knows your name but doesn't trust you as a pick.

First move: Compare the sources behind the brands picked instead.

Citation & Source Intelligence

Recommended on brand prompts, absent on category prompts

AI finds you only when the buyer already knows your name.

First move: Split results by intent and work category prompts first.

Intent Coverage

Strong on one engine, absent on another

Engines lean on different sources for the same question.

First move: Compare cited domains engine by engine before rewriting.

Cross-Engine Monitoring

Recommendation Rate drops in one week

A competitor earned new coverage that engines now cite.

First move: Diff the sources in answers that dropped you.

Answers & Evidence

On the shortlist, rarely first

You make the cut but lose the top spot to one rival.

First move: Read why engines pick #1 and close that claim gap.

Competitor Tracking
The tools behind it

The MentionX features that do the work

Plans

How much each plan tracks

Answers per scan is prompts × engines, re-run 4 times a month. Spark and above include unlimited seats and competitors; Starter includes 3 of each.

SparkSelf-serve
$149 /mo
100 prompts × 3 engines = 300 answers a scan
Each square is 10 answers1,200 a month
ChatGPTGeminiGoogle AI Overviews
ChatGPT, Gemini and Google AI Overviews
Choose Spark
NovaSelf-serve
$249 /mo
200 prompts × 4 engines = 800 answers a scan
Each square is 10 answers3,200 a month
ChatGPTGeminiGoogle AI OverviewsGoogle AI Mode
Adds Google AI Mode
Choose Nova
GalaxySelf-serve
$599 /mo
300 prompts × 5 engines = 1,500 answers a scan
Each square is 10 answers6,000 a month
ChatGPTGeminiGoogle AI OverviewsGoogle AI ModePerplexity
Adds Perplexity
Choose Galaxy
Questions

AI visibility tracking, answered

The questions buyers ask before they start. Your first scan answers the rest with your own data.

What is AI visibility tracking?

Measuring whether AI engines such as ChatGPT, Gemini and Perplexity mention and recommend your brand when buyers ask real questions, and how that changes over time.

How is Recommendation Rate calculated?

Answers that rank your brand in a shortlist, divided by all answers, where all answers is prompts × engines. It is calculated in code from stored answers, and the formula is published.

What is the difference between Mention Rate and Recommendation Rate?

Mention Rate counts answers that name you. Recommendation Rate counts only answers that rank you in a shortlist. The gap between them shows how often AI knows you but does not pick you.

How often should I track AI visibility?

Weekly. AI answers shift as sources and competitors change, and MentionX re-runs your full prompt set 4 times a month so movement shows up quickly.

Which AI engines does MentionX track?

Spark covers ChatGPT, Gemini and Google AI Overviews. Nova adds Google AI Mode. Galaxy adds Perplexity.

Is AI visibility tracking the same as rank tracking?

No. Rank tracking shows where a link sits in search results. AI visibility tracking shows whether an AI answer names or recommends you at all, and which sources it cites.

Can I try it before paying?

Yes. MentionX is free forever, no card needed. Free is a plan ($0, ChatGPT): 20 prompts the first week, then 10 a week. There is no 7-day trial, and payment is asked on the dashboard, after the company URL and the market, so your first scan shows your Recommendation Rate before you decide.

Other needs

Start from a different question

Free forever, no card needed. Free is a plan ($0, no card, ChatGPT): 20 prompts the first week, then 10 a week. There is no 7-day trial

Ask the question about your own brand

Prefer to talk first?Talk to the founder· 20 min

Your first scan sets your Mention Rate and Recommendation Rate on every engine in your plan, with the answers behind them.