Brand monitoring & PR
Geared toward CMOs, PR professionals, and content marketers. These tools excel at treating AI as a new media channel, tracking share of voice, brand sentiment, and competitor benchmarking across various AI models.
The Answer Engine Optimization market excels at brand monitoring and PR. SurfaceGX serves a complementary but distinct purpose; verifying and repairing the technical infrastructure that feeds those AI outputs in the first place.
Visibility intelligence and repair, side by side.
Geared toward CMOs, PR professionals, and content marketers. These tools excel at treating AI as a new media channel, tracking share of voice, brand sentiment, and competitor benchmarking across various AI models.
We show you how AI engines currently understand, cite, compare, or ignore your brand.
Analyzes the final answers generated by LLMs. Tracks which prompts trigger brand mentions, calculates citation share, and monitors ranking fluctuations in tools like ChatGPT and Google AI Overviews.
Then we fix the technical, content, and authority gaps that determine whether AI engines can discover, parse, trust, and cite you.
Provides insights that guide editorial calendars, suggests topics for new blog posts, and identifies third-party domains for off-page PR outreach and link-building.
Translates audit findings into concrete Fix Cards that explicitly separate code-level tasks (e.g. dynamic JSON-LD injection in Next.js applications) from editorial tasks, bridging the gap to the engineering sprint board and GitHub PR.
Delivers value through comprehensive reporting suites, leaderboards, and historical data visualization designed for marketing reviews and strategy sessions.
Focuses on direct infrastructure updates, automated generation of
robots.txt, sitemap.xml, agent-facing
manifests like llms.txt and llms-full.txt,
plus handoffs and GitHub PR workflows.
We show you how AI engines understand, cite, and ignore your brand.
We fix the technical, content, and authority gaps that determine whether AI engines can discover, parse, trust, and cite you.
Use a crawler-based preview scan or fixed-scope audit to validate the problem before committing to a recurring managed program.