Solutions by need 8 of 8

GEO performance measurement: prove your GEO work is working

GEO needs numbers you can defend. MentionX measures the same buyer prompts on the same engines every week and calculates a Visibility Score in code with published weights, so before and after is a fair comparison.

Start free See how it's calculated

Answers stored this scan800

Mention Rate55%

Recommendation Rate30%

Visibility Score0.51

Example: Vela CRM is an invented brand, scanned on Nova (200 prompts × 4 engines).

The definition

What is GEO performance measurement?

GEO performance measurement tracks whether generative engine optimization is changing AI answers: how often engines mention and recommend you, in what position, and how often they cite pages tied to you, on the same prompts over time. MentionX combines them into a Visibility Score with published weights.

Published formulas: Weights and inputs are on the methodology page; the score is calculated in code, not by an AI model.
Versioned scoring: Every scan records the scoring version it used, so results stay comparable.
Before and after: The same prompts re-run every week, so a change in the score means a change in the answers.

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 CRMAbsentAdds nothing to Mention Rate, position or citation share.

MentionPositionCitation

Example answers. Kestrel, Pipewise, Halyard and Vela CRM are invented brands.

Three inputs, one score

Every answer feeds the score in up to three ways

An answer can name you, rank you and cite pages tied to you. Each feeds a different input to the Visibility Score.

Absent

Adds nothing: not named, not ranked, not cited.

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

Mentioned

Adds to Mention Rate only.

…Vela CRM also comes up as a newer option.

Recommended

Adds to Mention Rate and to your average position.

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

First choice

Adds to Mention Rate at position 1, the best possible.

1. Vela CRM is the best fit for a team of 20…

Mention Rate · weight 0.43 outcomes

Average position · weight 0.352 outcomes

The calculation

How GEO performance is calculated

Each square below is one stored answer. Pick a rate to see what it counts; the Visibility Score combines Mention Rate, position and citation share with published weights.

First choiceRecommendedMentionedAbsent

60%

ChatGPT

52%

Gemini

58%

Google AI Overviews

48%

Google AI Mode

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

Visibility Score = 0.4 × 0.55 + 0.35 × 0.78 + 0.25 × 0.09 = 0.51

25 ptsSame prompts, same engines, same weights: when the score moves, the answers moved.

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

Visibility ScoreNormalised position

Week over week

One score, compared fairly

GEO work takes time to show in answers. Weekly re-runs on the same prompts and engines make each week comparable with the last.

Visibility ScoreWeek 1 to week 8+0.07

Normalised positionWeek 1 to week 8+0.08

Example data for an invented brand.

The method

How to measure GEO performance, step by step

Day 0
Fix the prompt set
Choose the buyer prompts you'll measure and keep their wording stable.
Day 1
Take the baseline
Visibility Score, Mention and Recommendation Rate, position and citation share, per engine.
Week 1
Pick what to change
Start with prompts where AI names you without recommending you.
Weeks 2–4
Ship, then compare
Publish, update or earn the source, then compare the next weekly scan with the baseline.
Monthly
Report with the method
Share the score with its formula and the answers behind each change.

Reading the results

Five patterns worth acting on

A score is only useful when you can explain what moved it. These patterns help.

Every chart here uses one colour code

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

Score up, Recommendation Rate flat

You're mentioned more, but not picked more.

First move: Work the near-wins before chasing more mentions.

Recommendation Rate

Mention Rate up, citation share flat

Engines know you but don't cite pages tied to you.

First move: Publish pages engines can cite, and earn third-party sources.

Citation & Source Intelligence

One engine drives the whole change

Your work landed on that engine's sources.

First move: Report per engine so the change isn't overstated.

Cross-Engine Monitoring

Two scans show different scoring versions

The method changed between scans.

First move: Compare scans that share a scoring version.

Methodology

Position improves, first choice doesn't

You climb the shortlist, but the #1 pick holds.

First move: Read what engines say about the #1 pick.

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

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

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

Adds Perplexity

Choose Galaxy

Questions

GEO performance measurement, answered

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

Read the methodology

How do you measure GEO performance?

Track how often AI mentions and recommends you, your position and your citation share on the same prompts over time. MentionX combines them into a Visibility Score.

How is the Visibility Score calculated?

0.4 × Mention Rate + 0.35 × normalised position + 0.25 × citation share, where normalised position = 1 − (average position − 1) ÷ the highest position in the scan.

Is the formula public?

Yes. Formulas and weights are published on the MentionX methodology page, and every scan records the scoring version it used.

Which number should I report?

Recommendation Rate for whether AI chooses you; Visibility Score for overall presence.

How long until GEO work shows up?

It varies by engine and source. Weekly scans on the same prompts show when answers change, so you can see it instead of guessing.

Can I export the numbers?

Yes. Every metric exports as CSV by brand, engine and prompt, and matches the dashboard.

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

Measure your GEO baseline this week

Prefer to talk first?

Talk to the founder· 20 min

Your first scan sets the Visibility Score, Mention Rate, position and citation share you'll compare every week after.