Review count and quality are direct trust inputs when an engine decides who to recommend. The platforms that count are the ones it already reads in your category.
Trustpilot, Google Business Profile, G2 and others, selected by where engines actually pull from in that industry.
Email flows that request a review when a customer is most likely to leave a good one.
A repeatable process through the engagement, so review volume keeps pace with the category.
Yelp prohibits soliciting reviews and filters solicited ones, so it stays out of any outreach plan.
Reviews are the clearest third-party signal a business has, and they arrive as text an engine can quote. A recommendation that says a company is well reviewed on a named platform is doing two jobs at once: naming the brand, and attributing the confidence to someone else.
Review volume is also comparative. An engine choosing between companies in the same category sees the gap, which is why the target comes from what competitors have.
The work sits inside done-for-you execution across all seven workstreams and never runs on its own.
The ones an engine already pulls from in that category, which commonly means Trustpilot, Google Business Profile, and G2. The platform set is chosen per industry, because a review on a site an engine never reads carries no citation value.
There is no fixed threshold. What matters is standing reasonably against the other companies an engine is choosing between in the same category, so the target comes from what competitors actually have.
On most platforms yes, and the timing of the ask does most of the work. Yelp is the notable exception: it prohibits soliciting reviews and filters ones it detects as solicited, so it is never part of an outreach plan.
By building a repeatable plan that runs continuously: email flows that ask at the moment a customer is most satisfied, pointed at the platforms that matter for that category. The plan runs continuously so review volume keeps pace with competitors.
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