Results

Case studies & results

Clear Cited gets B2B SaaS and developer-tools companies recommended where ChatGPT, Perplexity, Claude, Gemini, and Grok answer their buyers — by fixing the SEO foundation, producing answer-first content, and building off-site authority. Every result here is measured the same way: each buyer prompt run 10+ times per engine, reported as a median share of model with a 95% confidence interval — not screenshots.

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Real & ongoing: our own

Real · in progress

Clear Cited runs its own AEO — in public

We measure our own share-of-model across every engine and publish the numbers transparently, with method. Our most honest proof.

A measured result, today

A measured result, today: when AI recommends a CI/CD platform, here's who it names — from our AI Visibility Index, republishable with credit.

AI Visibility Index — CI/CD platforms · share-of-modelmeasured snapshot · 2026-07-01

#	Product	Share of model	Share	95% CI
1	GitHub Actions		21.8%	20.1–23.7
2	GitLab CI/CD		19.6%	18.0–21.4
3	CircleCI		19.1%	17.5–20.9
4	Jenkins		16.6%	15.1–18.3

Engines: 5 of 5
Prompts: 10
Answers: 500
Runs/engine: 10
Interval: Wilson score interval, 95% (z=1.96)

Share of model · 5 AI engines · Google's AI surfaces measured separately · 95% CI. Detection is heuristic — a mention isn't always an endorsement. · Methodology →

Client results

As founding engagements complete, each one is published below — drawn from the client's actual measurement data and shared only with written permission. Anonymized cases appear as "a B2B SaaS company" until the client approves being named.

A note on honesty. Clear Cited is newly launched. Until real, client-approved results exist, any example labelled illustrative uses a representative scenario — not a real named client — to show the kind of result and reporting we deliver. Real founding-client case studies are published here, with permission, as they complete.

Real, client-approved case studies will be published here as founding engagements complete — measured the same way, shared with written permission.

In the meantime, see how we run our own AEO in public (real, in progress), read an illustrative example of the format and reporting a finished case study uses, or see an illustrative showcase of the full set of work we hand over — the audit, the data, the content, and the rationale, together (a fictional sample client; the numbers are illustrative).

Real case studies are generated from actual engagement data (with written permission) and auto-repurposed into our newsletter and socials. Want to be one of the first? Start free →

A case study, walked through

How a measured result becomes a written case study.

The case-study walkthrough film. (1:02) · captioned film — no audio by design · illustrative data, labelled in-film

Most AEO optimizes only the slice of citations you own. Here's the whole map — all four tiers AI cites from, and how much of it we actually work.

Clear Cited works all four tiers

Coverage 100% · Control ~86% · Influence ~94% · Earned (best-effort)

Most AEO optimizes the ~44% you own. Clear Cited works all four tiers.

Control ~86% · influence ~94% · the last ~6% earned — worked, not guaranteed.

Source: Yext (6.8M citations), 2025-10 — a third-party citation-tier mix, not measured by our AI Visibility Index (which tracks share-of-model); illustrative of the tier split until we publish our own measured citation-source mix

Coverage is the scope of what we work — never a control or ranking guarantee. · See the full Citation Control Map →