A look at the ways agencies, SaaS, and e-commerce teams put SearchFIT to work, the problems they start with, and the workflow they build around getting cited in AI answers.
Agencies use SearchFIT to show clients where they stand in AI answers, spot the prompts where a competitor gets named instead, and report progress in language a client understands. It becomes a repeatable service line rather than a one-off audit.
SaaS teams track the buying-intent prompts their prospects actually type into ChatGPT and Perplexity, then close the gaps with comparison and use-case content that assistants can cite. The goal is simple: be in the shortlist the AI recommends.
E-commerce teams monitor how assistants answer "best [product] for [need]" questions, watch sentiment around their brand, and publish product and buying-guide content structured to be pulled into those answers.
The details differ, but the shape is the same: measure, act, and track.
Run a report to find which assistants mention you, which name a competitor, and where you are invisible.
Turn missed prompts into content built to be cited, answering the question directly, with the structure and sources AI favors.
Watch share of voice, sentiment, and citations move over time, and report it to clients or leadership.
Track AI visibility, surface insights via Signals, and create content that gets cited. Built for agencies, B2B SaaS, and e-commerce brands.
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