Flint
Flint is an AI an autonomous web platform that generates on-brand landing pages and ad-account recommendations to improve paid conversion. It links Google Ads to campaign-specific pages and learns from approvals to lower CAC for growth and paid-media teams.
About Flint
Flint is an AI an autonomous web platform that combines a Pages product for generating campaign-specific landing pages with a set of Agents that analyse and recommend changes to paid-ad accounts. Pages creates net-new landing pages matched to the campaign, ad group or keyword driving the click, publishes them to your subdomain and preserves analytics, tag manager scripts and existing lead forms.
The Google Ads Agent connects via OAuth to surface issues such as negative keywords to add, ad groups pointed at the wrong page, and pages worth swapping; every recommendation waits for your review and must be approved before Flint writes final URL updates or other changes back to Google Ads. Flint captures Business Context and reads your design system so generated pages stay on-brand and aligned with account goals.
Flint closes a learning loop between ads and pages: each approved or rejected recommendation updates the platform memory so subsequent suggestions reflect what has already been tried. Google Ads is live today; Meta and LinkedIn agents are listed on the roadmap. The platform runs alongside your existing stack, supporting analytics and CRMs, and is presented as a pilot or scoped deployment rather than a self-serve pricing catalogue.
Flint does not publish standard self-serve pricing; the website asks organisations to book a demo or contact sales to scope pilots and enterprise plans.
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Who is using Flint?
Key Features
- Generate and publish campaign-, ad-group- or keyword-specific landing pages to a customer-controlled subdomain while preserving analytics, tag manager scripts and lead forms.
- Connect to Google Ads via OAuth to surface recommendations and push approved final URL updates and safe account changes.
- Google Ads Agent surfaces negative keywords, ad-group to page mismatches and pages worth swapping for paid traffic.
- Read and apply a client design system and Business Context so generated pages remain on-brand and aligned with campaign goals.
- Closed-loop learning memory that updates recommendations based on every approved or rejected action.
- Integrations with Google Analytics, Google Tag Manager, HubSpot, Salesforce and PostHog; pages coexist with Webflow, Framer, Next.js and WordPress sites.
Use Cases
- Launch targeted landing pages tied to specific keywords, ad groups or campaigns.
- Reduce customer acquisition cost by iterating page content and ad-account recommendations together.
- Automate ad-account housekeeping such as negative keyword suggestions and final URL updates.
- Publish ABM microsites or GEO pages that remain on-brand and trackable within existing analytics.
- Run a scoped pilot to validate page and ad changes on live paid traffic before committing to larger programmes.