When buyers, journalists, and analysts ask ChatGPT about you — what does it say? Newspilot's GenAI Lens tracks how every major LLM describes your brand, your sector, and your issue. And tells you how to shape what they say next.
If they're not on Newspilot, you're not seeing them. We poll the major LLMs daily with your tracked prompts and surface what they actually say — sources, framing, sentiment, drift.
Are you mentioned when buyers ask about your category? Daily polling across ChatGPT, Claude, Gemini, Perplexity, and Grok.
Framing analysis on every AI response. Sentiment scoring. Hallucination detection. Is the answer flattering, fair, or quietly damaging?
Every LLM cites somewhere. See which articles, sites, and Wikipedia revisions are training your AI presence. Then fix what's wrong.
Recommended next steps for each anomaly — "publish updated bio," "submit Wikipedia correction," "earn coverage in this outlet."
GenAI Lens isn't a passive monitor. It tells you which sources to publish into, which corrections to submit, which journalists to engage — to move the LLM answer in your direction.
See exactly which articles are training LLMs about your brand. Update them. Submit corrections. Publish authoritative replacements.
When the AI describes you incorrectly, you'll know within 24 hours. Set up a Slack alert; we'll page the right team.
We surface the journalists, publications, and Wikipedia editors whose work most influences LLM answers. Build relationships with them, not the noise.
Side-by-side AI answer comparison. When buyers ask "X vs Y," what does the AI say? Track narrative gaps; close them.
GenAI Lens connects to three workflows your team already runs — PR, competitive intelligence, and content. Each tab below is a different lens on the same data.
People ask AI before they call a journalist. Your PR strategy needs to account for the LLM answer the same way it accounts for the FT article. GenAI Lens makes that measurable.
When a buyer asks AI "best X for Y," is your brand in the top three? GenAI Lens tracks comparative prompts daily and shows you the gap to fill.
LLMs train on the open web. Your strategy isn't to game them — it's to make the open web more accurate. GenAI Lens surfaces which sources, citations, and articles you need to update or earn to shift the answer.
Tracks articles. Doesn't see what AI says when buyers ask about you directly.
Unified visibility across traditional, social, and AI channels in one workspace.
Positive / neutral / negative. Doesn't tell you why or what to do.
Why the AI said what it said. Which sources it leaned on. How that's drifted this week.
Optimise for Google. Hope LLMs follow. They mostly don't.
Optimise for the sources LLMs train on. Wikipedia, tier-1 press, structured data.
Look at it daily. Decide what to do yourself.
Update this article. Correct this Wikipedia entry. Pitch this journalist. Specific. Measurable.
The core platform. 12,000+ outlets across 104 languages, real-time narrative clustering, AI briefings, severity-scored alerts.
Comms, risk, policy, investment, EU DSA compliance. See how Newspilot deploys for your specific job to be done.
GenAI Lens is Newspilot's AI visibility tracking capability. It monitors how the major LLMs (ChatGPT, Claude, Gemini, Perplexity, Grok) describe your brand, your category, and your competitors. It surfaces the citations they use, the framing of their answers, and the actions you can take to influence what they say next.
We poll the major LLMs daily with your tracked prompts. For Enterprise customers we offer hourly polling. We do not access OpenAI/Anthropic backend logs — we send public prompts and analyse the public responses, like a researcher would.
Per tracked prompt, we measure: (1) mention rate — how often you appear in the answer, (2) position — top-of-list vs. buried, (3) sentiment — how the AI describes you, (4) framing — analytical vs cautious vs alarmist, (5) citation set — which sources the AI is leaning on. All measured per LLM, tracked over time.
Yes — but not by gaming the model. LLMs train on the open web. We surface which Wikipedia entries, press articles, and structured-data sources are influencing the answer. You update / correct / earn coverage in those sources. We re-poll. Position shifts. It's a multi-week loop, not magic.
No. SEO optimises pages for Google's ranking algorithm. GenAI Lens optimises citations across the sources that train LLMs — Wikipedia, tier-1 press, academic sources, structured data. Different sources, different incentives, different playbook. We call it Generative Engine Optimisation (GEO).
SOC 2 Type II, ISO 27001, EU & AZ data residency. We use public LLM APIs with public prompts. Your tracked prompts and dashboards are not visible to other customers or to LLM providers as identifiable data.
Yes. CSV/JSON export on Team and above. REST API on Institution and Enterprise. All citation graphs, sentiment timelines, and recommended actions are exportable.
Mention rate per LLM · Position rank · Sentiment score · Framing tags · Citation map · Hallucination flags · Drift over time · Competitive share-of-AI-voice · Recommended-action ROI · Tracked-prompt count.
Included on Team, Institution, and Enterprise. Available as a standalone add-on for Analyst at $99/mo. During the 14-day free trial, you get full access on every tier.
Find out today what ChatGPT says when buyers ask about you. Set up GenAI Lens in five minutes; receive your first weekly snapshot the same week.