The inputs that decide how AI sees you
- ·Brand foundations
- ·Owned editorial
- ·Third-party signal
- ·Topic ownership
- ·Source mix
- ·Competitive presence
AuthorityOn.ai runs real prompts against the major LLMs every week, scores your brand on the Signal Five, and turns the result into a prioritised list of fixes. It scopes to your market. Global for enterprise brands. Country or city for SMEs and local-services firms. You see the competitors AI actually puts you next to. Here is how each piece works.
Most AI-visibility tools start with symptoms. We start with the inputs you can actually move, six levers that decide how models see you, measure them as the Signal Five, and hand back a prioritised plan. A causal chain, not a leaderboard.
The next ten things to fix, each tied back to a lever above and the signal it moves, ordered by impact. Refreshed every week as the measurement updates.
Nine views carry the weekly loop, plus the bonus surfaces your team will live in. Each view is a working dashboard, not a one-off PDF. Updated weekly from real prompts run against every frontier model.
A composite 0–100 score across every frontier model, refreshed weekly. The single line on the dashboard your CMO will ask you about.
Composite AI Performance score over time
Some models already know you, others don't. You see which is which, so you can focus content effort on the models that don't yet recall your brand.
Every prompt is interpolated with your brand's city and country, so the model answers the question your local buyer would actually ask, not the global default. A Geneva firm and a London firm get two different scoreboards.
PROMPT TEMPLATE
“What are the best private banks for high-net-worth clients {{ in Geneva, Switzerland }}?”
Every model response is clustered into coherent stories: positive, neutral, critical. You read the shape of the answer, not just the score, plus exactly which claims are moving in your favour or against you.
Clustered from 200+ model responses this scan
Competitors, products, leaders and campaigns rendered as a single map. Sphere size is the AI score, edges are co-mentions. Click any node to see how AI describes that entity, at the same level of detail as your own brand.
Brand + tracked entities, AI score = sphere size
Every audit ends with a prioritised inbox: each action tagged by strategy (content / authority / discovery / earned media), each with an estimated lift on the composite score. Triage like email. Done, snooze, mute.
Next ten actions, sized by composite-score lift
Publish FAQ schema on /pricing
+12compositeAdd ClaudeBot to robots.txt allow-list
+8compositePitch 3 Tier-1 analyst firms on the new product line
+6compositeModels retrain. Sources fade. Competitors ship. Set thresholds per metric per entity and we fire to Slack and email on the first breach, with the diff explained so you know exactly what to look at.
Recommendation rate dropped 14% on ChatGPT
Likely cause: a new competitor citation on Forbes / TechCrunch in the last 72h is showing up in ChatGPT's recall pool for your category prompts. Open the diff for the full trace.
Three companion audits explain WHY the composite moves: web crawler access + schema, content citability + freshness, social presence + channel mix. Each scored 0–100 with its own action list, rolling up into the headline number.
Three companion audits explain WHY the AI score moves
Crawler access, schema, render parity, page-speed.
Citability score, AI-extractable structure, freshness.
Cross-channel presence, voice consistency, citation share.
Connect GA4, Plausible, Matomo or Piwik PRO and we isolate the sessions arriving from ChatGPT, Perplexity, Gemini and the rest, then overlay that AI-referred traffic on your AI Score — so you can see whether rising visibility is moving real visits, and read an estimated traffic lift on each recommendation. Growth and up.
AI Score ↔ AI-referred sessions: r = 0.74
Sessions arriving from ChatGPT, Perplexity and Gemini, isolated from the rest of your traffic and overlaid on your weekly AI Score, so you can see whether rising visibility is moving real visits.
Track real buyer questions in your category: "best AI brand-monitoring tool", "top ESG consultancies". See your rank, competitors' ranks, the citation sources behind both.
Test a prompt against every model on demand, see verbatim responses, then promote it to a Prompt Group so it joins the weekly scan.
Generate a token-gated public URL for any report, scoped to expire on a date you set. Share with your board or agency. No platform account needed at the other end.
A free daily briefing on AI model launches, citation-pattern shifts, brand-visibility moves. We watch the AI search shift so you don't have to.
EU residency by default; Swiss residency available on Scale and Agency. SOC 2 controls, GDPR + nFADP compliant.
We query up to eight major LLMs every week with a curated set of discovery, comparison and recommendation prompts. Real prompts. Real responses. Kept on file.
Most GEO tools stop at a leaderboard. We hand you the next ten things to do, in order.
Drop in your URL and the brands you benchmark against. We pick the prompt set automatically from your category. No tag, no SDK, no DNS change.
We query every major model with the prompt set, audit your crawler access, score citation sources, and benchmark against your competitors. Real prompts, real responses, kept on file.
One clear list: what to fix on the site, what to publish, where to earn coverage, what to monitor next. Sized by lift, ordered by what moves the needle first.
Starter is €49/mo, one brand, the full Signal Five, your first action plan ready the moment you sign in. Cancel any month, no notice.