AI Citation Case Studies & Brand Mention Results
How Citevex campaigns are structured to move AI citation share, placements, and organic visibility. Case write-ups publish as clients approve.
Framework
How every campaign is measured
1. Prompt baseline
We record which brands AI assistants cite today for the prompts that matter to your category.
2. Placement mix
We plan listicle, statistical, and historical mentions on real editorial sites to close the gap.
3. Citation lift tracking
We re-run the prompts and report changes in citation share, placements, and organic visibility.
Case write-ups
Published as clients approve
Full case studies appear here once clients sign off. Some will be anonymized where clients ask, with methods explained.
We do not publish placeholder numbers or invented results.
What you get
What each write-up covers
The starting point
Category, prompts tracked, and the baseline citation picture.
The work
Placement types, site selection criteria, and timelines.
The outcome
Measured changes, with the method used to measure them.
How we measure results
AI citation share
The share of a fixed prompt set where the brand is named, per engine (ChatGPT, Perplexity, Gemini, Google AI Overviews), measured before and after.
Share of voice
The brand mentions against named competitors across the same prompts.
Placements
Number and type (listicle, statistical, historical, guest post, digital PR), with median site traffic and DR.
Organic performance
Clicks and impressions from Google Search Console, and referring domains from Ahrefs or Semrush.
Time frame
Start and end dates for every figure, so results can be judged fairly.
Methodology notes
AI answers vary by user, location, and session. We report trends across a full prompt set, never a single screenshot. We also note anything else that changed in the period, such as a product launch, a site migration, or a Google core update, so readers can weigh the result.
Case studies by category
SaaS
Software brands competing in comparison and alternatives queries.
Ecommerce
Online stores competing in best-of and product roundup queries.
Agency (white-label)
Partner agencies delivering link building under their own brand.
AI citations
Work focused on being named in AI assistant answers.
Link building
Editorial placements and their effect on organic visibility.
How each write-up is structured
The client
Industry, size band, market, and whether the client is named or anonymized.
The problem
Baseline AI citation share, share of voice, and referring domains, with the baseline date.
What we did
Prompt set, source map, and placements by type.
Results
Before and after figures with dates, and what else changed in the period.
What we learned
Practical takeaways another brand could apply.
Client quote
Included only with written permission.
Our commitment on proof
Case write-ups publish when clients approve them. We anonymize a client only with their agreement and we do not publish placeholder numbers or invented results. Every engagement starts with a baseline, so you know where you stand before any work begins.
Want results like these?
Start with a citation audit and we will outline a baseline and placement plan for your category.