Looktech Case Study: AI Citations up 210%, ChatGPT Share of Voice Tripled vs. Ray-Ban Meta with Agentic Page

Case StudyApr 23, 2026

See how CES 2025 challenger Looktech used Agentic Page to lift AI citations by 210% and triple ChatGPT share of voice against Ray-Ban Meta and other incumbents. Free case study with the Competitor Hedging Graph playbook inside.

Joy LinkedIn

Shoppers don't buy $200+ AI hardware on impulse. They ask AI assistants to compare specs, privacy models, battery life, and ecosystems — often for days before they ever hit a product page. According to IDC's 2026 Smart Wearables Outlook, AI assistants now shape the shortlist for 58% of consumer-electronics purchases over $150.

Looktech — the AI smart-glasses brand behind the voice assistant Memo, a 13MP camera, and a privacy-first architecture — turned heads at CES 2025 and raised $1.17M on Kickstarter. But in ChatGPT, Perplexity, and Claude, the brand was being drowned out by better-indexed incumbents.

"Our site has everything a buyer needs — specs, demos, privacy whitepapers. But when AI answered 'best AI smart glasses,' we weren't in the conversation. Agentic Page got us into the answer."

— Ryan Chen, Head of Growth, Looktech

Challenge: a challenger hardware brand losing the AI search battle

Looktech's analytics told the story plainly. Direct organic traffic was flat, while referral traffic from AI platforms had quietly become a top-five source — and customer service kept hearing, "I asked ChatGPT about AI glasses and your name came up… sort of."

Head of Growth Ryan Chen ran an audit. Three things stood out:

• High-intent prompts — "AI glasses with GPT," "Ray-Ban Meta alternatives," "privacy-first smart glasses" — returned incumbents by default. Looktech appeared inconsistently, often without its differentiators.
• The site's spec tables, comparison widgets, and demo videos were all client-rendered or media-only. AI crawlers saw the scaffolding, not the substance.
• In a category where three or four incumbents own mindshare, losing AI search meant losing the category.

Solution: why Looktech chose Agentic Page

Looktech evaluated three AI-search optimization platforms and chose Agentic Page for two reasons: a single platform covering diagnosis, optimization, and monitoring end-to-end; and a prioritized playbook — what to fix first, and what lift to expect.

In the first week, Agentic Page delivered:

• ACCC Diagnosis — first scan: 52 (Fair band). robots.txt partially blocking AI crawlers, the hero was a video with no transcript, the competitor comparison table was client-rendered, spec sheets buried behind tabs, URLs weren't semantic.
• AI Mirror Site — 46 core pages: product page, 11 feature deep-dives, 8 comparison pages, privacy architecture document, 14 press pages, and full FAQ. Cutting tokens 58% per page while raising information density.
• Traffic Monitoring: AI-source traffic segmented by bot (GPTBot, PerplexityBot, ClaudeBot, Google-Extended) with period-over-period trends.

Implementation: deploying a Competitor Hedging Graph against the incumbents

Phase 1 — Baseline measurement

For two weeks before launch, Looktech tracked brand presence, citation counts, and prompt coverage across ChatGPT, Perplexity, Claude, and Gemini for 46 target pages.

Phase 2 — Mirror generation and review

Agentic Page auto-detected, parsed, analyzed, and generated each mirror page. The team reviewed side-by-side diffs to verify critical facts — camera resolution, AI model support, battery life, weight, privacy guarantees, prescription compatibility — were preserved in structured summaries.

Phase 3 — Competitor Hedging Graph

A structured, LLM-parseable comparison asset — a table plus a logical tree — pre-encoded the key decision variables buyers weigh against Ray-Ban Meta and other incumbents:

• Privacy architecture (on-device anonymization vs. cloud-tied inference)
• Prescription compatibility and frame options
• Battery life and thermal profile under continuous AI use
• Multi-model support (GPT-4o, Gemini, Claude) vs. single-vendor lock-in
• Data retention and teardown paths

Phase 4 — Content-side EEAT lift

Added transcripts and structured captions to every demo video, converted the interactive comparison widget into a static AI-parseable table, promoted the privacy architecture summary to the top of the homepage, and filled a structured FAQ covering price, supported AI models, compatibility, and shipping.

Results: eight weeks, incumbent-level presence in AI answers

Comparing February 15 – April 15, 2026 against the prior period:

• AI Citations:+210%. Mirrored pages cited in AI responses more than 3x as often.
• Prompt Coverage:+187%. Prompts where Looktech appeared grew from 62 to 178.
• Category Share of Voice:+285%. For non-branded prompts like "best AI smart glasses," Looktech's share of brand mentions nearly tripled.
• ChatGPT Head-to-Head vs. Top 3 Competitors:7% → 22%. Presence share in direct comparison prompts more than tripled.
• AI-Generated List Appearances:1 of 5 → 4 of 5. Looktech now appears in 4 of the top 5 AI-generated "best AI glasses 2026" lists.
• ACCC Score:52 → 91. All four dimensions moved into the Excellent band.
• AI-Sourced Pre-Order Conversion:+58%. Buyers arriving from AI platforms converted meaningfully higher than traditional channels.

"We're a challenger brand in a category full of giants. AI search was the one place where the rules hadn't been written yet — and Agentic Page helped us write them in our favor."

— Ryan Chen, Head of Growth, Looktech

Key Takeaways for challenger hardware brands

• Don't wait to be discovered.Deploy a Competitor Hedging Graph that pre-encodes every decision variable buyers weigh against incumbents.
• Convert client-rendered comparison widgets to static tables.If AI can't parse the comparison, it falls back to the incumbent's narrative.
• Transcribe every demo video with timestamps.Rich media without text is invisible to AI crawlers.
• Promote the privacy/differentiation summary to the top fold.LLMs have finite token budgets — lead with what separates you.
• Monitor post-click signals, not just citations.Sustained engagement is what keeps you anchored in the RAG pool.

Industry playbook:AI Visibility for Electronics & Accessories DTC →

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