An AI Performance platform
How AITWIRE measures, calibrates, and proves what AI answers about you.
AITWIRE practices AI Answer Engineering: it checks eleven leading public AI systems and answer surfaces, determines why answers go wrong, turns every gap into published authority AI can cite, then re-checks to prove what changed — with before/after evidence you can review and retain.
Measured recommendations, not content generation — AITWIRE tells you exactly what to publish and why, then proves what changed. It doesn't write your blog.
Coming from an AI visibility monitoring tool? See how AI Answer Assurance compares.
Get your free AI Readiness AssessmentEcosystem illustration — 9 AI systems are probed directly; dimmed systems only receive published authority signals.
Four verbs, one loop.
Measure
What did AI answer? Every check graded against the record you approve.
Diagnose & Calibrate
Why — and which approved information or source needs attention.
Intervene
Website, structured source, third party, machine-readable companion, or the AI you control — you approve every change.
Prove
Re-measured after each intervention; reported only when it clears the statistics — including when the honest answer is no reliable change.
Your Analyst Agent works the loop with you — identifies what changed, diagnoses why, recommends the next intervention, and re-measures the result. Every action approved by you.
Public AI
The AI you don't control — ChatGPT, Claude, Perplexity, Gemini and the rest. Measure how they answer about you, calibrate the sources they read with the facts you approve, and prove what changed. You influence and prove it; the engines aren't yours to control.
AITWIRE AI · Private AI
The AI you run or buy — internal copilots, support bots, website chat. Here you own it, so you govern it: tested against the information you approve and the claims you prohibit, continuously.
AITWIRE works across the AI systems and surfaces your customers already trust.
We probe 9 AI engines directly and publish authoritative data to the crawlers and surfaces that feed the rest —
so you can see what AI says, fix gaps, and show up across 39 systems and publishing surfaces.
AI Answer Assurance
Measure how AI systems answer. Calibrate the record. Prove what changed.
Five quality dimensions. Target-audience-aware probes. Confidence on the data.
Across the AI systems you don't control — and the ones you do — AITWIRE measures how those systems answer, identifies gaps and drift, turns them into measured, data-backed recommendations, publishes verified authority surfaces AI systems can crawl and cite — then proves whether your AI answers actually improved, with evidence you can review and retain.
Analyze with confidence
AITWIRE profiles your target audience(s), probes major AI systems with controlled prompts designed around that audience, and scores accuracy, citation, sentiment, quality, recommendation — with a confidence interval on every metric.
Recommend & brief
Gaps become prioritized recommendations with campaign briefs — the facts, entities, and target surfaces — each tied to the measured gap it closes.
Publish where AI looks
Verified authority surfaces stay synced for AI crawlers, and the fix publishes to the destinations you choose — your own CMS, free structured surfaces, and social — with canonical pointing back to your site.
Prove it, or say so
AITWIRE re-measures and reports lift with a 95% confidence interval — confirmed only when it survives multiple-comparison correction, inconclusive when underpowered. When the content is exclusive to an AITWIRE surface, we can show an AI engine actually retrieved it, with controls that bound false positives.
The Five Dimensions
How AI answers about you — scored every AI Answer Update Cycle
Sample data for illustration. Your real scores appear on your AI Monitor dashboard after your first AI Answer Update Cycle.
Built around your target audience
See what AI says to the customers you need to reach
Tell us who you are, what you do, and who you serve — AITWIRE measures how AI systems answer that target audience and turns the gaps into action.
Get your personalised response
See which AI opportunities and risks matter for your specific target audience.
Run your Free AI Readiness Assessment
Check whether your site is ready for AI retrieval — 30 seconds, no account needed.
Start free or upgrade
Start free. Apply for the AITWIRE AI Design Partner Beta to publish what you approve, run correction campaigns, and re-measure for verified change.
How AITWIRE works: the AI Answer Assurance Loop
Measure: AI Measurement + Recommendations. Calibrate: verified authority surfaces AI crawls, canonical to your site. Prove: verified change, plus a controlled retrieval test where the content is ours. AITWIRE measures how AI systems answer, calibrates the gaps, and proves what changed.
Under the hood, every cycle runs the same measured loop — probe → judge (agreement‑validated) → fix → re‑measure → prove — with a confidence interval on every score and false-discovery-rate control on every "it worked" claim. Read the methodology.
Analyze
AITWIRE sends AI systems target-audience prompts and scores what they say, cite, and recommend — with confidence.
Recommend
Measured gaps become prioritized pages, articles, blogs, social posts, and off-site updates.
Publish
You publish from the brief; AITWIRE syncs your verified facts to the surfaces AI crawls — canonical to your site.
Prove
Re-measurement reports verified change — including when the honest answer is no reliable change — plus a controlled retrieval test where the content is ours alone.
AI is already shaping what your customers believe before they visit your website.
When someone asks AI about your category, AI may recommend you, ignore you, cite a competitor, or repeat stale information. AITWIRE shows you the answer, recommends and publishes the fix — canonical to your site — then proves whether it changed.
AI Measurement shows what AI says — and what to do about it
AITWIRE probes major AI systems with target-audience-aware prompts, scores how they describe, cite, and recommend you with honest confidence, flags drift and competitor displacement, and turns the gaps into prioritized recommendations.
- Five quality dimensions — accuracy, citation, sentiment, quality, recommendation
- Target-audience-aware probes — measure what your audience actually asks
- Honest confidence — intervals, sample size, and an “is this change real?” test on every metric
- Gaps → recommendations — each prioritized action cites the measured gap it closes
AI Readiness puts your canonical data where AI looks
AITWIRE compiles your verified facts into structured authority surfaces and publishes them to the destinations you choose — your own CMS, free structured surfaces, and social — with the canonical link pointing back to your site, while always-on authority surfaces stay synced for AI crawlers.
- Directed by data — campaign briefs for pages, articles, blogs, and social; your team writes, AITWIRE measures
- Owned, free, and social destinations — your CMS (WordPress, Webflow, Ghost, Shopify), GitHub, Dev.to, Hashnode, Bluesky, and IndexNow
- Canonical → your domain — every syndicated copy credits your site, not AITWIRE
- Always-on authority surfaces — structured facts AI crawlers can read, with per-item private control
AI Audit & Assurance shows what changed — with evidence you can review and retain
Two honest tiers of evidence. Effect: a verified change in how AI systems answer, reported only when it clears the interval, with calibration that checks our confidence labels themselves. Source: when content is exclusive to an AITWIRE surface, a controlled retrieval test distinguishes genuine retrieval from chance — with controls that bound false positives.
- Measured lift — expected vs actually-measured change on the actions you apply, reported honestly
- Is this change real? — a movement counts only when it clears the combined 95% interval
- Causal retrieval test — a controlled detector that distinguishes genuine retrieval from chance, per surface
- Citation provenance — which URL the AI cited, with false positives bounded
Powered by AITWIRE Intelligence
The platform learns from measurement, human review, recommendations, and published outcomes — then focuses future probes and content on your target audience.
AI Analytics
Measure how AI systems describe, cite, and recommend you to your target audience, across five quality dimensions and 19 signal categories — the baseline you calibrate against and prove change from.
AI Recommendations
Turn measured gaps into prioritized content actions with campaign briefs — a clear goal, rationale, and the facts to substantiate for each recommendation.
AI Publishing
Publish to your own site and a chosen set of owned, free, and social destinations — canonical pointing back to your domain — while always-on authority surfaces stay synced for AI crawlers.
AI-Retrieval Readiness
The technical groundwork AI engines rely on to find and trust you — schema, crawlability, indexation, canonical, and authority signals. It complements your SEO stack rather than replacing it.
Honest Confidence
Every number carries a confidence interval, and a period-over-period change is called real only when it clears that interval — so you can tell a genuine movement from sampling noise.
Causal Retrieval Test
When content is exclusive to an AITWIRE surface, a controlled test distinguishes genuine retrieval from chance, with controls that bound false positives. Kept separate from effect-measurement so claims stay honest.
Evidence you can defend.
AITWIRE backs every number with repeatable probes, confidence thresholds, verified facts, and lift tracking — so you can see what changed, what caused it, and how reliable it is. Credible, not cosmetic.
Tuned to your industry: AITWIRE analyzes how AI systems answer your buyers, publishes the fixes, and proves what changed.
Best fit when AI is becoming how your buyers discover and evaluate you — and your team will act on what we find (publish, then prove). The payoff isn't a vanity score: it's catching misinformation early, tracking your trend and competitors, and proving the measured lift from each change.
Start with a free AI Readiness Assessment. Upgrade when you want deeper analytics, stronger recommendations, and faster publishing cycles.
Go deeper
The working parts.
Monitors AI systems
How AITWIRE measures the way probed AI systems describe, cite and recommend you.
Detects drift
Catching incorrect AI answers before your customers act on them.
Watches social
Flagging misinformation on social surfaces before AI repeats it as fact.
AI connector
Run AITWIRE from inside your own Claude, ChatGPT or Copilot.
Measure how AI systems answer. Calibrate the record. Prove what changed.
Start with a Free AI Readiness Assessment, then use AITWIRE to get measured recommendations, publish verified authority surfaces for AI crawlers, and prove whether your AI answers actually improved — with evidence you can review and retain.