AI narrative needs a ledger.

Search used to show a list. ChatGPT and Claude answer with a point of view.

That shift creates a new risk surface: the buyer may hear your brand named, omitted, misframed, or compared on terms you did not write.

iSeer is the system of record for AI brand narrative risk and recovery. The core measure is AI Recommendation Share: the percentage of buyer-intent AI prompts that mention your brand.

AIRS is not a vibe check. It is a repeatable way to see whether your brand is present when the category is being decided.

AI answers move. We treat that variance as a measurement problem, not a storytelling problem.

We use Wilson confidence intervals to bound proportions and McNemar paired tests to evaluate week-over-week change. The point is not false precision. The point is knowing when the narrative has actually moved.

In May 2026, iSeer v2.0 became narrative-first: clearer reports, an action queue with validation, a weekly Fix Plan, and crawler readiness audits.

We do not build real-time monitoring, browser extensions, mobile apps, or ML benchmarking. We focus on the operating loop: see the narrative, act on it, validate the change.

We don't tell you to add llms.txt files, “chunk” your content for robots, sprinkle schema.org markup as a magic trick, or buy fake mentions on forums. Platform guidance offers no lever there.

What moves the needle is knowing what AI says about you, week over week — then changing the underlying content, relationships, and citations that AI is reading. iSeer is the instrument. The fix is your work. The proof is in our trend lines.

iSeer is built by a small independent team.

The product is priced to start narrow and scale with the work: Free for one brand, Pro at $99, and Agency plans for larger programs.