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AI search has a winner in your category. Make sure it's you.

Consumer search behavior changed faster than most content strategies. When someone asks ChatGPT or Perplexity about your category, a brand is showing up in the answer. Trevant helps make sure it's yours.
See where you stand

69%

of AI-cited videos have no chapter markers — the single biggest fixable gap.

8x

more citation opportunities per video with proper chapter structure.

41%

of AI-cited YouTube videos have under 1,000 views. AI rewards structure, not popularity.

Start with what you have. Build what's missing.

Most clients start with the retrofit. The audit it produces maps exactly where your brand is showing up in AI answers — and defines what content to build next.

start here

AEO VIDEO RETROFIT

Activate your existing library.

You've already invested in producing YouTube content. Destination videos, product demos, educational guides — those are dormant citation assets, trusted by YouTube and invisible to AI. The retrofit activates what's already there without touching a single frame of video.

This service is for owned and branded content. For building net-new citation assets with creators — the format AI answer engines are already favoring — that's what AEO Creator Content is built for.

Best for brands with an existing YouTube library that's performing on-platform but hasn't been optimized for AI extraction.

What's included: AEO retrofit

  • AI visibility audit

    Category citation analysis: what questions AI is answering and whose content is winning in your space

  • Prioritized retrofit list

    Up to 15 videos scored and selected based on citation potential vs. current text-layer quality

  • Full metadata rebuild

    Corrected captions, chapter timestamps, rewritten descriptions, and sharpened titles — all implemented

  • 60-day measurement report

    Before/after citation tracking at the video level with directional data on what moved

  • Content roadmap

    Prioritized gaps your existing library can't fill — the natural brief for net-new content
Start with an AEO retrofit

WHEN GAPS EXIST

AEO CREATOR CONTENT

Build for the questions you don't yet own.

The retrofit activates what exists. When there are gaps — questions AI is being asked in your category that no existing video can substantively answer — metadata optimization can't fix that. You need content purpose-built for those gaps.

The creator we select for an AEO brief may not be the one with the biggest following. A creator with 15K subscribers who covers your topic with genuine depth can earn more AI citations than a lifestyle creator with 500K. We source by topic authority, not follower count.

Best for brands already running creator programs who want to extend that investment into AI visibility — or brands seeing AI answers in their category but not appearing in them.

What's included: AEO creator content

  • Citation gap analysis

    Identification of category questions your library can't answer

  • Creator sourcing and vetting

    Matched by topic authority and content depth, not follower count

  • AEO content briefs

    Structured briefs specifying chapters, depth, and exact questions — built for citation from day one

  • Metadata optimization at publish

    Every video goes live with a citation-ready text layer already in place

  • 90-day citation tracking

    Post-publication performance by video, by prompt, by AI engine

  • Performance report and roadmap

    What earned citations, what didn't, and what to build next
Build for the AEO content gaps

COMPARISON


 

Retrofit

Creator Content

Best For

Content that exists but is AI-invisible

Gaps no existing video can fill

Timeline

4 months including measurement

5–6 months including production and tracking

Natural Next Step

Identify gaps for creator content

Ongoing citation monitoring

What does an AEO engagement look like?

Every engagement starts with an audit. For the retrofit, that's a category citation audit — what questions AI is answering and whose content is winning. For creator content, it's a gap analysis — the questions your library can't answer become the briefs.

AEO VIDEO RETROFIT

  1. 01 CATEGORY AUDIT What questions AI is answering in your space, and which content is winning those citations
  2. 02 LIBRARY SCORING Your YouTube library mapped against demand data, scored by citation potential vs. current text-layer quality
  3. 03 TEXT LAYER REBUILD Corrected captions, chapter markers, rebuilt descriptions, sharpened titles — all implemented in-platform
  4. 04 MEASURE & REPORT 60-day before/after citation tracking with a video-level report and content roadmap

AEO CREATOR CONTENT

  1. 01 GAP IDENTIFICATION Questions no existing content in your library can substantively answer become the briefs
  2. 02 CREATOR MATCHING Sourced by topic authority and content depth — the right creator per brief, not the biggest name available
  3. 03 AEO BRIEF & REVIEW Structured, specific, built for extraction: required chapters, depth per section, exact questions the video must answer
  4. 04 PUBLISH & OPTIMIZE Every video goes live with a citation-ready text layer already in place — no retroactive fixing needed
  5. 05 90-DAY TRACKING Citation performance monitored by video, by prompt, and by AI engine throughout the window

HOW DO WE TRACK AEO PERFORMANCE?

Citation behavior can't be managed without visibility. Before any optimization begins, we establish exactly where your content stands: which questions AI is answering in your category, which content is winning those citations, and where your brand appears (or doesn't).

Every engagement uses AI citation measurement technology that tracks performance at the video level, the prompt level, and across AI engines — including ChatGPT, Perplexity, and Google AI Overviews. The baseline is set before work begins, so citation lift is attributable to the work, not platform noise.

WHAT WE TRACK:

Prompt-level citation visibility

Exactly which questions AI is answering with your content and which competitors are winning the prompts you should own

A note on expectations: AI citation behavior is determined by third-party platforms and can shift as models update. We treat every engagement as a measured experiment and report directional data honestly — not guaranteed outcomes.

Multi-engine coverage

Where your content earns citations across ChatGPT, Perplexity, Google AI Overviews, and others
A note on expectations: AI citation behavior is determined by third-party platforms and can shift as models update. We treat every engagement as a measured experiment and report directional data honestly — not guaranteed outcomes.

Video-level attribution

Which specific videos earn citations and for which prompts — not just domain-level tracking

A note on expectations: AI citation behavior is determined by third-party platforms and can shift as models update. We treat every engagement as a measured experiment and report directional data honestly — not guaranteed outcomes.

Before/after measurement

Cleanly attributable to methodology, not model shifts or platform updates
A note on expectations: AI citation behavior is determined by third-party platforms and can shift as models update. We treat every engagement as a measured experiment and report directional data honestly — not guaranteed outcomes.

industries we work with

Travel & Experiences
 
Fashion & Apparel
 
Health, Beauty & CPG
 
Home, Family & Pets
 
Tech & Consumer Electronics
 
Retail & Commerce
 

 

see where you stand

Where does your brand show up in AI answers right now?

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