AI Citations Case Study: Documented GSC Results

📅 Updated September 20, 2026  ·  👤 Ottmar J.G. Francisca  ·  🎯 Dated evidence checkpoints
📌 Key Takeaways
  • The documented baseline CTR was 0.1%; the three-month reporting window ending 1 August 2026 showed 6.5% CTR.
  • Cumulative checkpoints rose from 909 clicks and 19.9k impressions through 3 July to 1.81k clicks and 28k impressions through 1 August. These totals cover different-length windows and are labelled accordingly.
  • Sitewide average position remained broadly stable, moving from 7.9 to 8.4, while the documented core query reached #1. These are different metrics.
  • The dated evidence snapshot confirmed citations in Perplexity and Copilot. AI results can change and must be rechecked per query and per system.
  • The gains occurred during the implementation period while the GRAAF, GSC and Citation Brief workflow was applied. The contribution of each individual change cannot be isolated.

This AI citations case study documents Google Search Console results from contentscale.site. The evidence is shown as dated screenshots and clearly labelled checkpoints. Search rankings and AI answers vary by date, location, personalization and prompt, so live searches may not reproduce an earlier snapshot exactly. The purpose of this page is to preserve what was measured, not to promise that every site will obtain the same result.

The workflow was straightforward: I assessed the pages with the GRAAF ContentScore, reviewed GSC queries and page data, corrected search-intent overlap and stale sections, implemented the resulting Citation Brief actions, waited for recrawling, and recorded later checkpoints.

The AI evidence uses the current five-system method: the complete answers and source URLs from ChatGPT with web search, Claude, Perplexity, Microsoft Copilot, and Google AI Overview / Gemini are collected manually and saved per query. This separates a recommendation, a mention and a direct citation instead of treating them as the same signal.

⭐ Featured case · My own site

AI citations case study #1: contentscale.site — three months of documented checkpoints

Case study: Google Search Console performance for contentscale.site, 1 May to 3 July 2026

Source: Google Search Console · contentscale.site · 1 May – 3 July 2026

909
Clicks
19.9k
Impressions
4.6%
Avg. CTR
7.9
Avg. position

Earlier query-level evidence placed the target terms around positions 20–30. During the measurement period I applied the GRAAF, GSC and Citation Brief workflow. No paid advertising or purchased backlinks were used. The links below open current searches, but current results may differ from the dated evidence:

#1 · content at scale ↗ #1 · contentscale ↗ #2 · content scale ↗
🟢 GSC checkpoint · July 19, 2026 Reporting window: May 1 – July 19, 2026

AI citations case study checkpoint: 5.6% CTR in the reporting window

For the May 1–July 19, 2026 reporting window, Google Search Console showed 5.6% CTR, 1.4k cumulative clicks, 25.1k impressions, and average position 8.3. The separately recorded baseline CTR was 0.1%. During this period I restructured the HTML with GRAAF, reviewed cannibalization and stale-content signals, and acted on GSC impression gaps. This is an observed before-and-after checkpoint; it does not isolate the effect of each individual change.

5.6%
Window CTR · baseline 0.1%
Jul 19
Dated checkpoint
#1
On “ContentScale”
25.1k
Impressions
Google Search Console checkpoint for contentscale.site from May 1 to July 19, 2026: 5.6 percent CTR, 1.4k clicks and 25.1k impressions

Evidence: Google Search Console screenshot for contentscale.site, reporting window May 1–July 19, 2026.

📈 THREE-MONTH CHECKPOINT — THE FULL PICTURE

May 1–August 1: the next documented checkpoint

For the reporting window ending 1 August 2026, Google Search Console showed 6.5% CTR, 1.81k cumulative clicks, 28k impressions, and average position 8.4. The separately recorded baseline CTR was 0.1%. No paid advertising or purchased backlinks were used during this implementation period. These figures document the measured outcome; they do not prove that one individual change caused the full difference.

ContentScale Google Search Console checkpoint for May 1 to August 1, 2026: 6.5 percent CTR, 1.81k clicks and 28k impressions

Screenshot: Google Search Console, contentscale.site · reporting window May 1–August 1, 2026. The screenshot is the evidence record; live Search results may differ.

📊 KEY FINDINGS FROM THIS CASE STUDY
0.1% / 6.5%
Baseline snapshot / three-month window CTR
#20+ → #1
Google Search ranking for target keywords
65× ratio
Arithmetic ratio between the two recorded CTR values
2 confirmed
Dated citation evidence: Perplexity + Copilot

What made the difference

1. GRAAF Framework scoring — every page measured against a 100-point checklist covering E-E-A-T, entity coverage, search intent alignment, and content freshness.
2. Google Search Console analysis — impression gaps, keyword cannibalization, stale content detection, and CTR optimization identified from real GSC data.
3. Citation Briefs — the existing page, GSC evidence and competitor coverage were reviewed before proposing specific HTML changes.
4. Entity and claim optimization — added relevant named concepts, sourced facts and direct answers without assuming that any one signal guarantees selection by an AI system.
5. Search intent restructuring — moved the direct answer into the first 100 words and restructured headings to match the questions the page needed to answer.
6. No bulk-publishing shortcut — no paid ads or purchased backlinks during the reporting period; changes were made page by page and measured after recrawling.

Tools and methodologies used

GRAAF Framework AI Citations Tracker Google Search Console SERP Spy PULSE + NEXUS Entity Optimization Article Schema Search Intent Analysis
🔍 DATED AI + GOOGLE EVIDENCE · JULY 30, 2026

A documented ranking and citation snapshot

At this checkpoint, the stored evidence showed the target query at #1 in Google Search and confirmed citations in Perplexity and Microsoft Copilot. The result was not confirmed in Google AI Overview at that moment. The current tracker now stores complete answers and source URLs from five systems — ChatGPT with web search, Claude, Perplexity, Copilot, and Google AI Overview / Gemini — so recommendation, mention and direct citation are evaluated separately. AI answers are not permanent and must be rechecked using the same query.

ContentScale AI citations and Google Search ranking results — case study evidence

Evidence snapshot dated July 30, 2026. Preserve the exact query, complete answer and cited source URLs with each later recheck.

More AI citations case study results

📈 Case #1

contentscale.site

Three months of dated GSC checkpoints, including 909 cumulative clicks through July 3 and a query-specific #1 ranking snapshot.

Featured above ↗
💬 CASE #2
Ruston J.

Traffic recovery on Google Search and AI systems including Google AI Overviews.

“Ottmar helped me well with getting back traffic on Google Search and AI systems like Google AI Overviews.”

★★★★★ Verified Google review
💬 CASE #3
Leonardo L.

Switched from Semrush to ContentScale’s Free AI Citations Tracker for deeper analysis.

“I even tried Semrush but the free AI citations tracker of ContentScale has so many extra tools…”

★★★★★ Verified Google review

Challenge, solution, results — in full

The challenge. My own homepage sat at 0.1% CTR and average position 24 — buried on page 3. The ContentScore was 34/100. The page had impressions but almost no clicks, and it collided with an unrelated Android API term in search results.

The solution. I applied my own method, step by step:

  • Measured the page with the GRAAF ContentScore and created a Citation Brief from the page, GSC evidence and competitive coverage.
  • Rewrote the HTML for AI Overview and voice-search extraction.
  • Added only structured data that accurately described visible page content; structured data was not treated as a ranking guarantee.
  • Fixed keyword cannibalization and the search-intent mismatch.
  • Detected and refreshed stale content, then closed the impressions gap flagged in Google Search Console.
  • Rescanned, then repeated the loop every few weeks.

The results. The separately recorded CTR baseline was 0.1%. For the three-month window ending 1 August, GSC showed 6.5% CTR, 1.81k cumulative clicks, 28k impressions and average position 8.4. An earlier checkpoint through 3 July showed 909 cumulative clicks, 19.9k impressions and average position 7.9. Perplexity and Copilot citations were confirmed in the dated AI snapshot. These observations do not establish that every change contributed equally.

How to read this case study

This is a documented single-site before-and-after case, not a controlled experiment and not a guarantee. GSC totals are cumulative within the labelled reporting windows. Average position is a sitewide or filtered average; a #1 query position is query-specific. They should never be presented as the same metric.

AI evidence is also query- and date-specific. A valid record preserves the AI system, exact question, complete answer, recommendation status, direct-citation status and raw source URLs.

What people say

★★★★★ 5.0 average · 9 verified Google reviews · See all on Google →

Charie Lantad★★★★★

The AI Citations Tracker has a game-changing feature called the Pre-Write Brief. I’m honestly amazed by how thorough it is.

Leonardo Lavarias★★★★★

I even tried Semrush, but the free AI Citations Tracker of ContentScale has so many extra tools.

Ruston Jugarap★★★★★

Ottmar helped me well with getting back traffic on Google Search and AI systems like Google AI Overviews.

Radny Williams★★★★★

Ze hebben nu enkele platforms gemaakt. De Gratis AI Citations Tracker is wat mij geholpen heeft.

Ingemar Francisca★★★★★

Wat een ontdekking! Als ondernemer in België had ik te maken met een daling in websiteverkeer. Gelukkig vond ik ContentScale.

Benjamin D.★★★★★

Ik ben ontzettend blij met de hulp van ContentScale. Mijn website had te maken met een aanzienlijke daling in verkeer.

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Frequently asked questions

What period does the 6.5% CTR cover? +
The 6.5% figure is the GSC CTR shown for the reporting window ending 1 August 2026. The page preserves earlier dated checkpoints separately instead of presenting cumulative windows as identical measurements.
Did you use ads or paid links to get these results? +
No paid advertising or purchased backlinks were used during the documented period. Several on-page and technical changes were made, so the effect of each individual change cannot be isolated.
Which AI engines now cite the page? +
The dated snapshot confirmed Perplexity and Microsoft Copilot citations for the tested query. That does not mean the result is permanent. The current workflow rechecks ChatGPT with web search, Claude, Perplexity, Copilot, and Google AI Overview / Gemini separately.
Can I reproduce this on my own site? +
You can reproduce the measurement workflow, but not promise the same outcome. Record a baseline, review GSC and page evidence, implement justified changes, preserve the published version, and compare later checkpoints using the same filters and AI questions.
Is the tracker free to use? +
One tracked page is free. The five AI answers are collected in separate AI systems and pasted with their source URLs, after which the tracker compares the evidence and builds the combined Citation Brief.
Ottmar J.G. Francisca — independent SEO consultant and creator of ContentScale, Amsterdam

Written by Ottmar J.G. Francisca — Independent SEO consultant · Amsterdam

I’m an independent SEO and GEO consultant based in Amsterdam, specializing in Technical SEO, AI Search Optimization, and Local SEO. I created ContentScale — the GRAAF Framework and the free AI Citations Tracker — and I run the exact method documented on this page on my own site first. Every number here comes from my own Google Search Console.

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ContentScale · contentscale.site · Results measured in Google Search Console · GRAAF Framework

Ottmar Francisca — Founder ContentScale, free Content at Scale SEO platform GRAAF Framework creator