The operating system for AI search optimization
ReachOS is the only AI search platform that lets you execute a winning AI search strategy end to end: from finding the demand, to doing the work, to proving the revenue.
Proof
You're always competing for the same search demand your potential customers are running. Every keyword, every AI prompt has a winner. Reach makes sure that's you, with the same platform we used to get these results.
done for you
Reach professional services: the same senior strategists and AI agents that produced the results above, operating the platform for you end to end. Strategy, content, mentions, community and reporting, all in the open, inside the same workspace you have access to.
Reach OS
A forward-deployed SEO & AEO strategist builds it around your business and runs it with you, from day one. You keep full platform access; we make sure it delivers.
Custom
On Custom terms, a senior strategist and a dedicated team own your account alongside an executive sponsor, with a custom cadence built around your org.
the features
Until now, winning AI search meant a visibility tracker that shows you how invisible you are, plus four disconnected tools and a lot of guessing. Reach replaces the stack: find the demand, do the work, prove the revenue.
01
Research
Mined from real search data from Google and AI models, Reddit, reviews, People Also Ask and your own sales calls. Then ranked by the revenue each search can drive, not by raw volume.
02
Understand
Per-prompt visibility across ChatGPT, Perplexity, Gemini, AI Overviews and Claude. Reach studies the pages Google ranks and the companies AI recommends, and extracts the patterns that win.
03
Prioritize
For each search, Reach studies the pages Google ranks and the companies AI recommends, then extracts the formats, sections and sources that win. Create vs revamp called per page, cannibalization caught before it costs you.
04
Execute
The system of record where your team and agents work the roadmap together: content, SEO, link and mention building and community agents, equipped with your company context, live SEO and AEO data, and the playbooks that win.
05
Mentions
The listicles, reviews and comparison pages that models pull as proof, found, pitched and tracked to secured. This is how you show up in answers your own site alone cannot win.
06
Community
Reach finds the Reddit, Quora and Hacker News threads your buyers actually read, and drafts a value-first reply with the exact angle for each one. No spam, real answers.
07
Measure
Search Console, Analytics, rankings and AI citations in one view. Every page scored on what it needs to rank and get cited, with the fixes queued and results measured where it matters: pipeline.
Test
A/B test titles, sections, schema and formats against rankings and AI citations. Winners get rolled out to every matching page, so the system compounds instead of guessing.
AI drafts from your knowledge base, scored live on SEO, AEO, CRO, accessibility and brand voice. Experts calibrate, then it ships.
One click from approved draft to WordPress, Webflow, Framer or Sanity, with versions and locales built in.
Every agent action logged, reviewable and reversible. Nothing ships without your approval.
Still have questions?
01
How do you find the questions our buyers are asking AI?
There is no public log of ChatGPT conversations, so Reach reconstructs the demand from where those questions actually surface: real search data from Google and AI models (including the fan-out queries models run behind a single prompt), Reddit, Quora and Hacker News threads, review sites like G2 and Capterra, People Also Ask, and your own sales call transcripts. Every question is deduped, mapped to a buyer journey stage, and ranked by the revenue it can drive. That ranked list is what your roadmap is built from.
02
How is Reach different from AI visibility trackers like Profound or Peec?
Trackers show you how invisible you are, then hand you a generic to-do list. Reach is the operating system that executes the strategy end to end: it finds every question your buyers ask AI, reverse-engineers why the winners get recommended, builds a prioritized roadmap, and then your team plus AI agents do the work in one shared workspace, with results measured against Search Console, Analytics and AI citations. From finding the demand, to doing the work, to proving the revenue.
03
How do ChatGPT, Perplexity and Google's AI decide which companies to recommend?
That is the question we spent a year reverse-engineering with a team of SEO and data science experts. The short version: models lean on patterns, the formats that get cited, the third-party sources they treat as evidence (listicles, reviews, communities), freshness, and how consistently your brand is described across the web. Reach decodes those patterns per prompt in your category and turns them into the exact work on your roadmap.
04
What is AEO, and will it replace SEO?
AEO (answer engine optimization) is the work of getting recommended and cited by AI answers in ChatGPT, Perplexity, Gemini and Google's AI results. It does not replace SEO: AI models lean heavily on what ranks and what trusted sources say, so the two compound. Reach runs both in one system, because the same research, content and mentions drive both channels.
05
Can I run the platform myself, or does Reach run it for me?
Both. Run the full platform in-house on published pricing, with every feature on every plan. Or have Reach's senior strategists and agents operate it for you end to end, inside the same workspace. The done-for-you engagements are how the platform was built and proven. See platform pricing and services pricing.
06
What results should I expect, and when?
Most teams see early signals in 30 to 60 days and meaningful pipeline impact in 3 to 6 months. Reach customers have grown AI search revenue 14x in a year (Indie Campers), gone from 0% to a 34.58% AI citation rate (Carro), and influenced $506K in signed contract value in about 4 months (ColdIQ). Results compound as the system learns what wins in your category.
