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credoble

Real firms. Real numbers.

Every number here comes from the client's own analytics, published with the client's permission.

Beacon Talent, GTM recruiting for SaaS

beacontalent.io

From no traffic to 10+ booked meetings a month.

10+
booked meetings a month from organic and AI traffic, in under three months, and growing.
Started April 2026. Client analytics.
“Credoble took our site from zero inbound to 10+ booked meetings a month. Those meetings turned into $50k in placements and 4 new clients within 2-months. Nav and his agents made it look easy.”
David Berk, Founder, Beacon Talent
David BerkFounder, Beacon TalentDavid Berk on LinkedIn
Situation
A GTM recruiting agency for SaaS companies with a real reputation in its market and a website that brought in nothing: no organic traffic, no AI traffic, no inbound meetings.
What was done
The Credoble playbook, run by the firm's own team on its own site. Pages that answer the questions hiring managers ask. The firm's specialty, placements, and people stated where a machine can read them. Listings and profiles made consistent.
Timeline
Work started April 2026. Past 10 booked meetings a month in under three months.
Result
10+ booked meetings a month from organic and AI traffic, and growing.

AG Accounting, accounting

anelya.net

On Google's first page for the term its clients search.

Page 1
of Google for startup accounting in Silicon Valley, up from page two or three in 10 weeks.
Started late May 2026. Search Console.
“We had the expertise. Our website just didn't show it in a way Google or AI could read. Credoble fixed that, and now we're on page one.”
Anelya Grant, Founder, AG Accounting
Anelya GrantFounder, AG AccountingAnelya Grant on LinkedIn
Situation
An accounting firm for startups in Silicon Valley, with deep expertise and a site that said none of it in a way a machine could use.
What was done
Credoble's agents implemented the framework. The questions the firm's target clients ask, answered on the site in plain language. Services, credentials, and people made legible. Structure completed.
Timeline
Work started late May 2026. First page within 10 weeks.
Result
First page of Google for startup accounting in Silicon Valley, up from page two or three.
Why it matters
AI systems build their answers from what they can read and confirm. The legibility that put AG on page one is the same legibility AI reads from.

NumbersGame, B2B SaaS

numbersgame.xyz

A site an AI agent can use.

10+
demos a month booked by AI agents, up from single digits, growing month over month.
Since July 2026. numbersgame.xyz analytics.
“With agents taking over tasks and searching on the web for their users, being able to be found is more important than ever.”
Michiel Jansen, Co-founder, NumbersGame
Michiel JansenCo-founder, NumbersGameMichiel Jansen on LinkedIn
Situation
A B2B SaaS company whose site, like most, could be read by an agent but not used by one. Numbers Game connects Claude to QuickBooks Online and Xero for accounting firms.
What was done
The site's actions exposed to agents through WebMCP. Facts, pricing, and next steps made machine-readable. The readiness agent sent to complete a task.
Result
An AI agent booked a demo end to end, and the deal closed. Demos booked by agents grew from single digits to double digits a month, starting July 2026.
Why it matters
This is what your customers' agents will try to do on your site within the next year.

Find out what machines cannot see or use on your site.