Generative Engine Optimization · Performance materials (anonymized)
From uncited to the preferred answer in AI.
A performance materials component supplier — a category leader in phase change materials for bedding, foam, and fabrics — was invisible when buyers, formulators, and OEM product teams asked LLMs which supplier to use. Wishbone rebuilt the brand's generative footprint. Within a quarter it was showing up as the preferred solution across every major answer engine.
The engagement
AI & GEO consulting for a performance materials supplier.
Situation
Buyers and formulators increasingly start their supplier research inside ChatGPT, Gemini, Claude, and Perplexity — not Google. When we ran the baseline, the client was not being cited in any of them for its own category. Competitors' claims and older third-party summaries were filling the answer window. Category leadership on the ground wasn't translating to category leadership in the models.
What was broken
- • Corporate site had thin structured data and weak entity definition — LLMs couldn't confidently attribute the brand's claims.
- • Technology and product pages read like brochureware, not extractive answers.
- • Almost no coverage in the press-syndicated outlets that ChatGPT, Gemini, Claude, and Perplexity actually trust as sources.
- • No monitoring — the team had no idea what the models were saying, or which sources they were pulling from.
What we did
- 01
Ran a full generative visibility baseline across ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews, and Copilot for buyer-intent prompts ("best PCM supplier," "phase change materials for bedding and foam," competitor comparison queries). The brand was effectively uncited — competitors owned the answers.
- 02
Rebuilt the technical foundation for AI retrieval: structured data (Organization, Product, FAQ, Article schema), clear entity definitions on the corporate site, and canonical product/technology pages engineered for extractive answers.
- 03
Executed a press-syndication and third-party citation program — placed technical announcements and product news in industry-syndicated outlets (trade press, industry magazines, financial newswires) so the brand's claims were being repeated by sources the LLMs trust and crawl.
- 04
Set up an ongoing GEO monitoring loop: weekly prompt tracking across all six engines, citation source auditing, and content refreshes tied to which passages were actually being cited.
Results
Uncited → Cited
Across ChatGPT, Gemini, Claude, and Perplexity
Within one quarter
Preferred solution
Named in AI Overviews for category queries
Google AI Overviews + Copilot
Syndicated sources
Cited by press-tier outlets the LLMs trust
Trade + financial newswire coverage
The brand moved from invisible to consistently cited across every major generative engine — and in several buyer-intent queries, it's now named as the preferred solution, with the models pulling directly from press-syndicated coverage the Wishbone program placed.
Where the brand now shows up
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