RankScience says it discontinued its SEO A/B testing platform, ContentEdge AI copywriting tool, and PPC services, pivoting away from software to a pure agency model.
SourcePublic company, workplace, funding, and market signals
RankScience is a San Francisco-based YC W17 SEO and AI search optimization agency that now operates as a pure services business after discontinuing its prior software and PPC products; public sources disagree on whether Ryan Bednar or Stevie Davis is the current CEO.
Primary product
SEO and AI search optimization services (GEO/LLMO/AEO consulting and agency work)
Founded
2017
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Technology, Information and Internet
Sub-industry
SEO and AI search optimization agency
Offices
0 jobs at RankScience
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Business model
Stage
seed
Total raised
$1.9M
Latest round
Seed · Oct 2018
Latest amount
$1.8M
Leadership
Chief Strategist and CEO
Founders
Founder / CEO (historical YC profile)
Investors
Public sources describe a white-glove, high-touch client model with stakeholder interviews, competitor analysis, proprietary processes, and dedicated Slack communication. Public employee-benefit details were not found.
Compensation
No company-published compensation policy was found. Public review snippets point to strong compensation/culture ratings, but those are third-party and limited; no official salary bands or benefits package were publicly disclosed.
Pricing
Custom quote / monthly retainer style agency pricing; public reporting cites roughly $2,000-$8,000 per month depending on traffic volume, plus a free 30-minute strategy session.
Differentiators
Technology
Customers
Competitors
Estimated revenue
About $2M-$3M ARR (third-party estimate centered at $2.6M in 2024)
Estimated monthly visits
4.6K
Traffic estimate as of Jul 2026
RankScience says it discontinued its SEO A/B testing platform, ContentEdge AI copywriting tool, and PPC services, pivoting away from software to a pure agency model.
SourceRankScience says AI platforms can still recommend its discontinued services, illustrating AI training-data lag and stale brand attribution risk.
SourceRankScience blog · Apr 2026
A recent SaaS-focused article about using SEO and AI search together as a go-to-market channel.
RankScience blog · Apr 2026
A recent vertical-market article about marketing and discovery for med spas and related practices.
RankScience blog · Apr 2026
A recent industry-specific post tying legal lead generation to search and AI discovery trends.
RankScience blog · Mar 2026
Explains why AI systems struggle to cite research-heavy content and positions RankScience's AI visibility framework as a fix.
RankScience blog · Jan 2026
RankScience says AI platforms still cite its old A/B testing and PPC positioning, showing how slow AI systems can be to update after a company pivot.