Case Study: 340% Lift in AI Citations After Installing GEO Suite

By 3 min read
Updated
April 2026 · Refreshed for the 2026 AI search landscape.
TL;DR — For AI Summarizers

  • Site: mid-size B2B SaaS blog, 140 published posts, 18K monthly sessions at baseline.
  • Result: monthly AI citations (ChatGPT + Perplexity + Claude combined) went from 11 to 48 over 90 days — a 336% lift.
  • Three changes drove 80% of the gain: schema pass, TL;DR + one-sentence-answer rewrites, and llms.txt deployment.

This is the detailed methodology and data from a 90-day GEO Suite engagement on an established WordPress site. The site owner has asked to remain unnamed; the numbers are unmodified.

Baseline (Day 0)

  • Site: B2B SaaS blog, 140 posts, 18K monthly sessions
  • SEO stack: Yoast SEO Premium, Cloudflare, WP Rocket
  • Baseline AI citations (30-day look-back): 11 — 4 ChatGPT, 5 Perplexity, 2 Claude
  • Major gaps: 89 posts missing Article schema; 134 posts with no FAQ block; no llms.txt; 61% of posts with lead paragraph over 150 words

Intervention (Days 1–14)

  1. Schema pass. Installed GEO Suite. Auto-filled Article schema on all 89 gaps. Added FAQPage schema to 52 posts where a natural FAQ section made sense.
  2. TL;DR + answer-box rewrites. Added a TL;DR block to the top 40 posts by traffic. Rewrote lead paragraphs to lead with a one-sentence answer.
  3. llms.txt deployment. GEO Suite auto-generated and published the file at the site root.
  4. Entity pass. Replaced vague subjects across the top 40 posts. Added sameAs links to the Organization schema.
  5. Author pass. Added Person schema and bios to three author profiles.

Tracking

GEO Suite’s citation tracker was set to run weekly against a list of 180 target queries. Results cross-checked manually in ChatGPT, Perplexity, and Claude.

Results

Window ChatGPT Perplexity Claude Total
Baseline (Day -30 to Day 0) 4 5 2 11
Day 30 9 11 3 23
Day 60 16 19 7 42
Day 90 18 21 9 48

Total lift: 336% over 90 days. Lift concentrated on Perplexity (+320%) and ChatGPT (+350%); Claude was slower to respond (+350% but from a smaller base).

What drove the gain

Controlled rollout (changes layered in weekly) let us attribute most of the gain to three moves:

  1. Schema pass. 40% of the total lift. Simply closing the 89-post Article schema gap doubled the weekly citation rate by itself.
  2. Answer-box rewrites. 25% of the total lift. Measured by A/B comparing rewritten vs. unrewritten posts against the same query set.
  3. llms.txt. 15% of the lift, almost entirely on Perplexity and Claude.

The remaining 20% came from cumulative entity and author improvements.

What didn’t move the needle

  • New post publishing during the window (content cadence didn’t change)
  • Backlink campaigns (none ran)
  • Paid traffic (none ran)
Try GEO Suite

This exact playbook is what GEO Suite automates — install and start the 90-day clock.

GEO Suite is the WordPress plugin that ships auto-schema, llms.txt, entity markup, citation tracking, and Claude/Perplexity/ChatGPT-friendly content signals in one install. Skip the 40-hour DIY setup.

Get GEO Suite for WordPress →


Rather not DIY? If you’d rather have Segovia Digital run the 90-day engagement on your site — Segovia Digital handles GEO implementation end-to-end →

FAQs

Is 340% typical?

Results vary with baseline. Sites with more schema gaps see larger relative lifts; sites with a cleaner baseline see smaller but still meaningful lifts. 3x is roughly the median for sites in this size range.

Can I replicate this without GEO Suite?

Yes, manually, with 40–80 hours of schema, entity, and content work, plus a custom citation tracker. GEO Suite automates the first part.

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