Other
Jan 2024RankScience 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.
SourceCompany research
Public company, workplace, funding, and market signals
Overview
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
2443 Fillmore St #380-1937, San Francisco, CA 94115
3388 17th Street, San Francisco, CA 94110
Business model
SEO and AI search optimization services
Custom consulting / retainer engagements
Funding
Stage
seed
Total raised
$1.9M
Latest round
Seed · Oct 2018
Latest amount
$1.8M
People & investors
Leadership
Chief Strategist and CEO
Founders
Founder / CEO (historical YC profile)
Work & culture
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.
Product & market
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
- —Pure-play SEO and AI search focus after dropping software and PPC
- —Generative Engine Optimization (GEO), Large Language Model Optimization (LLMO), and Answer Engine Optimization (AEO)
- —White-glove client integration with stakeholder interviews
- —Competitor analysis before recommendations
- —Dedicated Slack-based communication
- —Technical, revenue-focused SEO audits and implementation
- —Cross-platform AI visibility across Google AI Overviews, ChatGPT, Claude, Gemini, and Perplexity
Technology
Webflow
Wix
Google Search Console
Squarespace
SEMrush
Ahrefs
JotForm
Atlassian Statuspage
Google Workspace
Postmark
Cloudflare
jQuery 3.5.1
Customers
Startups
SaaS companies
B2B businesses
Enterprise brands
Local service businesses
Telehealth companies
Fintech companies
Ecommerce brands
Healthcare companies
Legal firms
Publishing companies
Marketplaces
Consumer goods brands
Non-profits
LGBTQ+ organizations
Competitors
Moz
Conductor
BrightEdge
Bloomreach
Semrush
Ahrefs
Scale & contact
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
Signals & risks
Other
Jan 2026RankScience says AI platforms can still recommend its discontinued services, illustrating AI training-data lag and stale brand attribution risk.
SourceLatest news
RankScience 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.
Jobs and careers at RankScience
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