YESTERDAY
Traditional search
- 01Buyer types a keyword into Google
- 02Sees ten blue links + ads
- 03Clicks through, lands on your site
- 04You measured this with rank tracking + GA
SEO and Search Console answered everything you needed to know.
Your buyers ask ChatGPT, Claude, Gemini and Perplexity for recommendations before they ever reach your site. AuthorityOn.ai measures what those models say about your brand, products, leaders and competitors, then hands you a prioritised list of the next ten things to fix. Measurement and a plan, on one subscription.
The path from question to recommendation used to run through ten blue links. Now it runs through one synthesised answer, from a model that may or may not name you. This isn't a forecast; it's already how a large share of buyer research happens.
SEO and Search Console answered everything you needed to know.
SEO tools can't see this. Search Console can't see this.
Both are invisible in Search Console, and both move every week.
A global standards body wins 98% of head-to-head AI comparisons when named. It is spontaneously recommended only 2% of the time. The category leader in reality is invisible in the answer.
See it on your brandAn enterprise software vendor with excellent content was invisible to AI. Their WAF was quietly blocking every crawler the major models rely on. Months of editorial work, gated by one firewall rule.
See it on your brandA German court has ruled Google legally liable for AI Overview errors, per Simon Willison's Weblog. Brands cited inaccurately in LLM answers now have a legal vector to pursue, not just a reputational one.
The category is good at one thing: counting how often a model mentions you. Then it stops, leaving you with a score but no sense of which move actually shifts it. AuthorityOn is built around the half most tools skip: turning the measurement into a prioritised plan.
Every audit ends with a prioritised list of the next ten things to do. Sized by lift, ordered by impact.
Models retrain. Your score moves whether you act or not. We tell you the moment it changes, and exactly what changed.
ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, DeepSeek, Copilot. Each scored separately, side by side.
200+ curated prompts per scan against the actual models — weighted toward the open discovery questions buyers actually ask — with verbatim responses kept on file. No synthetic estimates.
Three views carry the loop most customers run on us weekly. Your score moves, you see why, you act. Below is a glimpse of each.
One composite 0–100 number, scanned across every frontier model. Drift alerts fire the moment it changes, so you know what shifted before your CMO asks.
Composite AI Performance score over time
Every model response is clustered into coherent stories: positive, neutral, critical. You see 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
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
+6compositeSignal Five is the named methodology. Five distinct measures of how AI sees your brand, each one transparent and auditable, rolling up into a single 0-100 score you can act on. No black box.
Ask an open buying question with no brand named. Does the model bring you up on its own?
Put you next to a named rival. Asked to choose between you, which one does the model pick?
The crawlers the models train on. Can they reach, render and parse your content at all?
Which sources are shaping what AI says about you, and can you earn a place in them?
Models retrain and the web around them shifts. Is your score moving, and which way?
The five combine into one composite Signal Five score. The headline number and the five measures always agree, so any movement traces straight back to the signal that caused it.
Read the full methodology →Your buyers do not all ask the same model. We query every frontier model your market uses (ChatGPT, Claude, Gemini, Grok, Mistral, Perplexity, DeepSeek, Copilot) and score each variant on its own, so you see which models know you and which do not.
Not a slide deck. A working report: a composite score, the Signal Five broken out, every model scored separately, and a prioritised list of fixes, each sized by the lift it should move.
We can talk you through the full report under NDA on a 20-minute call.
“Wins 98% of head-to-head AI comparisons. Gets recommended unprompted 2% of the time.”
Two pages and a citation play closed 60 points of the gap in eight weeks.
“Excellent editorial output. Completely invisible to every major LLM crawler.”
One WAF rule and an llms.txt drop made the brand fully indexable in eleven days.
We answered them up front so you don't have to book a call to get a straight answer.
Cancel any time. Annual prepay saves about 17%. We do not run a free tier. Paid customers engage seriously, and that is where the methodology earns its keep.
One brand, scanned weekly across four models. A basic website, content and social scan, with three recommendations.
One brand plus up to 100 entities — products, leaders, campaigns and competitors, each scored separately.
For larger teams: five brands, up to 500 entities, white-label reports and priority support.
For agencies reselling AI authority to clients. Managed brands, white-label reports, a multi-client console, reseller pricing.
Weekly Signal Five audit · every major model · drift alerting · a prioritised action plan, not a dashboard. From €49/mo. Cancel any month from your Stripe portal, no notice, no clawback, no sales call required.