# Para Labs

> Independent AI brand visibility research lab. Case studies, experiments, and intelligence on how brands adapt to AI-first discovery.

- URL: https://paralabs.ai
- Feed: https://paralabs.ai/feed.xml
- llms.txt: https://paralabs.ai/llms.txt

## What this lab studies

Para Labs is an independent research publication on AI brand visibility. We study how brands are retrieved, cited, and recommended when buyers ask ChatGPT, Perplexity, Gemini, Claude, or Google AI surfaces instead of scanning a results page.

### Citation rate

Citation rate is the share of answers that name or link a brand. A page can rank and still never be quoted. That gap is the measurement problem this lab writes about.

### Source architecture

Source architecture is the set of extractable, attributable, corroborated claims a machine can use. Owned pages, earned coverage, and structured facts have to agree, or the answer engine has nothing safe to cite.

### Measurement after rankings

When discovery happens inside an answer, the useful metrics are citation rate, source selection, and entity clarity — not a single position check on one day.

## How we classify the evidence

Each study names its sources so a reader or an agent can verify the claim. This lab is not an agency, a vendor, or a placement desk. There are no sponsors on this domain, and we do not invent an office address or an affiliation.

### Case studies

A case study starts from a public brand or platform move and asks what it changes about visibility, not what a vendor wants the story to be.

### Experiments and tactical notes

Experiments document a method and a measurable change. Tactical notes state the operator implication that follows from the evidence, then stop.

## Latest Research

- [The AI Visibility Index Shows Brand Discovery Is Now a Citation Rate Problem](https://paralabs.ai/blog/ai-visibility-index-brand-discovery-citation-rate-problem-2026) — AI visibility indexes show brand discovery shifting from rankings to citation rate, source quality, and proof.
- [SharePoint AI Citation Analytics Makes Citation Rate a Real Content Metric](https://paralabs.ai/blog/sharepoint-ai-citation-analytics-brand-visibility-measurement-2026) — SharePoint's AI citation analytics show why citation rate is becoming a practical content metric.
- [Microsoft Clarity Shows Brand Visibility Is Moving Below the Click](https://paralabs.ai/blog/microsoft-clarity-ai-brand-visibility-below-the-click-2026) — Microsoft Clarity's AI citation split shows why brand visibility now lives below the click.
- [The Fake Deodorant Brand That Won AI Recommendations](https://paralabs.ai/blog/fake-deodorant-brand-ai-recommendations-visibility-case-study-2026) — A fake deodorant brand shows why AI visibility needs corroborated source architecture, not prompt tricks.
- [Stanley 1913's AI search shift shows source architecture is now brand work](https://paralabs.ai/blog/stanley-1913-ai-search-brand-visibility-source-architecture) — Stanley 1913 shows how retail AI visibility now depends on agent-facing product evidence, not campaign copy.
- [OpenAI's Product Feeds Move Brand Visibility Into ChatGPT Shopping](https://paralabs.ai/blog/openai-chatgpt-product-discovery-shopping-brand-feed-visibility) — OpenAI's product-feed path turns ChatGPT shopping visibility into a source architecture problem.
- [Zoom's Creator Bet Shows AI Search Visibility Is Becoming Source Strategy](https://paralabs.ai/blog/zoom-creator-ai-search-visibility-source-strategy-2026) — Zoom's creator push shows why AI visibility now depends on source authority, not social reach alone.
- [Brand Visibility Measurement Is Moving Beyond Search Rankings](https://paralabs.ai/blog/brand-visibility-measurement-beyond-search-rankings-ai-platforms-2026) — AI visibility measurement is shifting from rankings to deployed fixes, impact proof, and answer-surface evidence.
- [PetSmart's 22% AI Salon Lift Shows Brand Visibility Is Moving Into Decisioning](https://paralabs.ai/blog/petsmart-ai-salon-bookings-brand-visibility-case-study-2026) — PetSmart's AI salon-booking lift shows why brand visibility now depends on decisioning, not just search rankings.
- [Dove's ChatGPT Hair-Mask Visibility Shows AI Discovery Is Measurable](https://paralabs.ai/blog/dove-chatgpt-hair-mask-ai-visibility-wpp-case-study-2026) — Dove's ChatGPT hair-mask result shows why AI discovery needs measurable, source-backed brand proof.

## Machine-readable related links

- Primary concept: [AI brand visibility](https://paralabs.ai/blog)
- Supporting research: [The AI Visibility Index Shows Brand Discovery Is Now a Citation Rate Problem](https://paralabs.ai/blog/ai-visibility-index-brand-discovery-citation-rate-problem-2026)
- Supporting research: [SharePoint AI Citation Analytics Makes Citation Rate a Real Content Metric](https://paralabs.ai/blog/sharepoint-ai-citation-analytics-brand-visibility-measurement-2026)
- Supporting research: [Microsoft Clarity Shows Brand Visibility Is Moving Below the Click](https://paralabs.ai/blog/microsoft-clarity-ai-brand-visibility-below-the-click-2026)
- Research index: [Para Labs research index](https://paralabs.ai/blog)
- Machine manifest: [Para Labs machine manifest](https://paralabs.ai/machine-manifest.json)