Generative Engine Optimization

LLM Mention Tracking, Run Every Month

We run your prompt set across the major AI engines every month and report exactly how your mention, citation and recommendation rate is moving.

Book a call Generative Engine Optimization

Sounds familiar?

01You ran one AI visibility check months ago and have no idea if anything changed
02A competitor's citation share is moving and you'd have no way to know
03AI answers about your category shift and no one on your team notices

An AI visibility audit gives you a moment in time. Without tracking, you have no way to know if the fixes worked, if a competitor pulled ahead, or if an engine quietly changed how it answers your category. Most companies find out only when a client mentions it.

We run your fixed prompt set across ChatGPT, Perplexity, Gemini and Google AI Overviews every month, score mention and citation share against named competitors, and flag what moved and why. You see the trend, not a single snapshot.

What you keep

Monthly scored report across four engines and your priority languages
Trendline of mention and citation share versus named competitors
Alert on new factual errors or shifts in how engines answer your category
Updated prompt set as your market and offering evolve
Quarterly review tying visibility movement to content and citation work

Who this is for

You've already run an AI visibility audit and want to know if it's moving
You're investing in GEO content or citation work and need to prove it's working
AI referral traffic matters enough to your pipeline that you want it watched monthly

Generative Engine Optimization

What we build and run

Run your fixed prompt set across four AI engines every month
Score mention, citation and recommendation rate against named competitors
Track movement over time, not just a single month's snapshot
Flag new factual errors or outdated claims as they appear
Identify new questions worth adding to the prompt set as your market shifts
Deliver a short monthly report your team can act on

How it runs

From kickoff to a running sales system in 30 days.

Week 1–2
Confirm or build the prompt set and competitor list, set the baseline
Week 3–4
Stand up the monthly run and reporting format
Week 5–8
Deliver the first two monthly reports, tune what's tracked
After
Monthly tracking continues; you can pair it with our content or citation work

Questions we get

How is this different from a one-time AI visibility audit?

The audit sets a baseline. This tracks it every month, so you can see whether a fix actually moved citation share, whether a competitor is gaining, and whether an engine's answer to your category has shifted. Answers vary by session, so a single check tells you less than a trend.

Do the AI engines answer the same way every time?

No, and that's exactly why we track trends across a fixed prompt set rather than reacting to any single response. Individual answers vary by session and model version; what matters is the direction of mention and citation share over several months.

What do we actually get each month?

A short, scored report: mention and citation rate by prompt and engine, movement against the previous month, where a named competitor is gaining or losing, and any new factual error worth fixing. It's built to be read in ten minutes, not analyzed for a day.

Can this run alongside your content or entity work?

Yes, and it usually should. Tracking on its own tells you what's happening; pairing it with answer-first content and entity and citation work is what changes the numbers. Many clients start with tracking alone and add the other work once they see where the gaps are.

Other sub-areas in this service

AI Visibility Audit Entity & Citation Strategy Answer-First Content LLM Mention Tracking