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Qwairy v1.19 introduces Source Authority, 36 Agent Skills, rebuilt Crawler Analytics and broader analytics connections to turn AI visibility data into action.
AI visibility becomes useful only when it changes a decision.
Knowing that a brand appeared in an answer is not enough.
Teams still need to know which sources shaped that answer, whether AI crawlers can reach the right pages, what happened after an AI referral, and what to do next.
Qwairy v1.19 connects those questions into a single operating loop.
Source Authority reveals the domains that influence AI answers.
Agent Skills turn complex GEO work into guided analyses.
A rebuilt Crawler Analytics makes observed bot activity easier to understand.
Broader analytics connections link AI visibility to visits, conversions, and revenue.
The result: less time interpreting disconnected dashboards, and more confidence in the next move.
Citation volume tells you how often a source appears.
It does not tell you whether that source consistently shapes important answers across topics and AI providers.
Source Authority gives every cited domain a score from 0 to 100 based on its observed influence in your monitored AI landscape.
It considers:
This is not another name for Domain Rating or Domain Authority.
Those metrics estimate backlink strength across the web. Source Authority measures influence inside the AI answers your audience actually sees.
A specialist publication can therefore matter more to your brand than a much larger website if AI engines repeatedly trust it for the questions you monitor.
The score appears alongside citation usage in Monitor > Citation Sources, as well as in exports, Looker Studio, the REST API, and the MCP server.
More importantly, Source Authority now informs the Action Center when it prioritizes source, outreach, and backlink opportunities. Instead of treating every missing mention as equally valuable, Qwairy can bring the sources with the strongest expected influence to the top.
You can protect the sources already working for you, close meaningful authority gaps, and avoid spending time on placements unlikely to change an answer.
Run a free audit: in a few minutes, ChatGPT, Gemini and Perplexity answer 8 buying questions about your market live, and you see who they recommend.
A blank AI chat is flexible. It also makes every user invent the right analysis from scratch.
v1.19 replaces generic suggested prompts with 36 Agent Skills, organized into six categories: Visibility, Sources, Content, Site & Impact, Reputation, and Help.
Each skill is a carefully structured analysis request with a clear goal, relevant evidence, and useful constraints. You can start with jobs such as:
Selecting a skill prepares the full prompt in the composer. It never sends the message automatically. You can review it, adapt the scope, and decide when to run it.
The Qwairy Assistant responds in the language of your message and works from the workspace data you are allowed to access.
Where useful, it can render a focused chart or table, surface the supporting answers and sources, and separate verified evidence from hypotheses.
Agent Skills do not hide the prompt behind automation. They make strong analytical methods reusable while keeping the user in control.
Being allowed by robots.txt and being crawled are two different signals.
The rebuilt Crawler Analytics shows which recognized AI bots requested your site, which pages they visited, how often they returned, and whether those requests succeeded, redirected, or failed.
Coverage and freshness are visible, and the timeline stays focused on the periods teams use most: 24 hours, 7 days, and 30 days.
The setup directory covers the infrastructure teams already operate, including Cloudflare, Vercel, AWS CloudFront, Akamai, Fastly, Netlify, and generic HTTP pipelines.
The interpretation remains deliberately clear:
This makes Crawler Analytics useful for practical decisions: fix a blocked or failing route, strengthen pages that bots visit but never cite, and investigate valuable pages that appear invisible to AI crawlers.
AI visibility matters differently once it produces a visit, a lead, or a purchase.
v1.19 expands Qwairy's analytics connections beyond Google Analytics 4 and Piwik Pro with support for Matomo, Piano Analytics, Adobe Analytics, and Amplitude.
Each connection exposes the capabilities its platform actually provides, so referral-only data is never presented as revenue.
AI Revenue is now configurable for both ecommerce and lead-generation journeys.
Teams can choose the purchases, events, goals, or provider metrics that represent a conversion. When native revenue is unavailable, a fixed estimated value can be assigned without mixing it with measured revenue.
Piano Analytics can contribute revenue data when Sales Insights is available.
Together, the Measure workspace keeps three stages distinct:
That separation makes the funnel easier to trust. Qwairy does not collapse access, traffic, and outcomes into one ambiguous attribution number.
Follow the sentiment AI attaches to your brand across the answers you monitor.
v1.19 brings the main layers of an AI visibility program into one workflow:
Most visibility tools end at reporting. Qwairy v1.19 is designed to make the next decision clearer, and the next action easier to defend. Start with Qwairy | Book a demo | Explore integrations
Track the questions that matter to your business, see which brands each answer mentions and which sources it cites, then work on the gaps.
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