Measures how the answer engines describe the brand across every prompt a buyer would actually type.
Turns every gap into one ranked queue with the reason, the fix and the confidence attached.
Executes only what was approved then re-scores the same targets against the same six dimensions.
Measured, ranked, approved, executed and re-scored against the baseline it started from.
Every proposal carries its reason and its confidence. Structural changes never auto-fire, and nothing reaches the site without an approval.
One strategist, twenty five agents three surfaces live, one ranked queue.
Three surfaces, one score
Answer engine tracking across ChatGPT, Claude, Gemini and Perplexity, the live citation graph, and full stack SEO with competitive content analysis, all folding into a single measurement rather than three dashboards nobody reconciles.
Every proposal shows its work
Each row in the queue carries its reason, a confidence figure, an effort rating and an impact score, and says on the card when the corroborating data is not there. A recommendation that cannot explain itself is worth less than one that admits the doubt.
Reporting that will say nothing moved
Monthly, weekly and milestone reports are generated from persisted data rather than written to flatter, and they state plainly when a period produced no evidenced movement.
One score per target, six dimensions, measured the same way before and after, so movement shows against the baseline it started from.
Autonomy is earned against outcomes. Approved work, edited messaging and rejected drafts all feed back, and the structural changes that cannot be undone stay behind a gate however high the level climbs.
See the trust modelA property is connected, targets are discovered from the sitemap, and the first run returns the quadrant plot, the six dimension scores per page, the citation graph naming who the engines reached for instead, and a ranked list of the gaps with the fix that closes each one.
Request a visibility audit →The same instance tracks 116 Nagent targets, has logged 2,121 citations across a thirty day window, and reports coverage against 476 tracked keywords without rounding the number up.
See the numbers →What does DRIS actually measure
Whether the answer engines name the brand, and how. Six dimensions per target: coverage, share of voice, entity strength, recommendation position, sentiment, and whether the page is legible to an agent at all.
Which answer engines are covered
ChatGPT, Claude, Gemini and Perplexity, with the exact prompt that produced each result recorded alongside the citation.
What is the Leaders quadrant
Every target is plotted on brand coverage against recommendation position. The top right quadrant is where an answer both mentions the brand and recommends it well. Driving targets into it is the goal the whole queue is ordered around.
Does it change the site on its own
No. Every fix is a proposal carrying its reason and its confidence, approved or rejected on its own. Structural changes never auto-fire at any autonomy level.
What is live today
Answer engine tracking, the citation graph, and the full stack SEO surface with competitive content analysis. Prompt intelligence, the entity graph, agent readiness and the autonomous content agents are phased behind those.
Where does the data live
In the tenant, encrypted in transit and at rest, with role based access and an audit trail carrying the actor and timestamp on every executed fix.