Your buyers ask AI.
We make you the answer.
ChefBench is an answer-engine optimization studio for technology brands. We get you cited across ChatGPT, Perplexity, Gemini and Google AI Overviews and prove it in citations, not vanity rankings.
Trusted by technology brands
See what ChatGPT says about you.
Ask a buying question from your market and watch the model answer it live: the exact response, and the brands it chooses to mention. If you are not in it, that is the gap we close.
Get your auditSearch your business on ChatGPT.
Ask a question your buyers would ask. You get the exact answer the model gives, and the brands it chooses to mention.
AEO proof report
Weekly share-of-voice movement
9%
share
2
citations
1
engines
“When an assistant answers a buying question, it cites two or three sources. Either you are one of them, or a competitor is.”
Prove it in citations, not vanity rankings.
We track the sources models quote, the engines that mention you, and the before-and-after prompt set so movement is measured in share of voice.
Get your auditThe results page is becoming a single answer.
When an assistant answers a buying question, it cites two or three sources. Either you are one of them, or a competitor is.
Zero-click
Buyers get the recommendation inside the chat. There is no page two to save you.
Two or three citations
Models quote a handful of trusted sources per answer. Share of voice is the new ranking.
Compounding lead
Engines re-use sources they already trust. Early citations snowball, waiting gets expensive.
Everything it takes to be quotable.
A full map of every prompt that matters to your pipeline: where you are cited, where competitors own the answer, and exactly what to fix first, scored and prioritized.
Pages rebuilt into claims models can quote, clear answers, canonical structure, and clean markup.
Consistent facts about your brand everywhere engines look: schema, profiles, the knowledge graph.
Mentions on the sources LLMs already trust: reviews, directories, communities, press.
Weekly citation tracking against competitors, before/after prompts, and share-of-voice reports.
From audit to cited, in weeks.
One tight loop, run every week until you own the answers your buyers ask.
Case study - Polar - payments infrastructure
From absent to the answer for payments queries.
We audited how every major engine answered the questions Polar's buyers actually ask, rebuilt the pages engines misread, and placed the mentions that made models trust them. That audit is now the template we run for every client.
Book a demoCited
for the target prompt set across engines
6 weeks
from kickoff to first tracked citations
1 audit
became the playbook for every engagement
Fair questions.
The ones every founder asks on the first call.
SEO earns you a position on a results page. AEO earns you the citation inside the answer itself. The work overlaps, but the unit of success is a citation, not a click.
We track citations, share of voice, prompt coverage, before-and-after answer quality, and the sources models trust across the engines that matter to your category.
The audit takes two weeks. First movement depends on crawl cycles, model refreshes, and category competition, but most programs are built around weekly prompt monitoring.
No. We give your team the map, structure, citations, and briefs needed to make existing expertise easier for answer engines to quote.
ChatGPT, Perplexity, Gemini, Google AI Overviews, and the category-specific answer surfaces your buyers already use.