AI answers, users don’t click
When AI recommends three brands in a sentence, page-one rankings don’t matter. Either you’re in the answer or you’re invisible.
Glaring is the AI Visibility Platform that shows you exactly what AI says about your brand: the sources it cites, the threads it trusts, and the gap to close next.
Citation share, recommendation rate, and the exact gaps to close, refreshed every week.
When AI recommends three brands in a sentence, page-one rankings don’t matter. Either you’re in the answer or you’re invisible.
Traditional analytics can’t tell you how often AI cites you, which competitors it prefers, or why. You’re optimizing blind.
AI engines lean on listicles, review sites, and Reddit threads. These conversations change weekly. Yesterday’s snapshot is already stale.
Glaring runs your market’s real questions through AI engines every week and turns the responses into an operating system for your brand’s AI visibility.
See exactly which domains AI cites when answering your category’s questions, and where your brand ranks among them, week over week — overall and by topic.
Beyond mentions: how often does AI actively recommend you? Track the highest-value signal in AI search, per prompt and over time.
The pages and threads AI trusts where your brand never appears — ranked by influence and curated into a recommendation queue your team works from proposed to done.
The exact community conversations AI cites in your category, with sentiment, key quotes, and whether you’re part of the conversation.
Fresh, high-intent threads scored and prioritized daily. Your community team gets an action list, not a research project.
Monday-morning snapshots and monthly rollups with key insights and action items — and GLOW monitors the data pipeline daily, so your numbers never silently go stale.
Every insight traces back to a real AI response and a real conversation, so acting on it takes one click, not a research project.
The exact Reddit threads AI leans on, with citation counts, sentiment, and whether you’re in the conversation. Every thread carries a working status — new, sent, done — so your community team runs it like a queue and nothing slips.
“What’s the best option for first-time buyers?”
Every weekly response is stored verbatim, with your brand’s mentions highlighted and recommendations flagged — and an AI judge screens out false-positive mentions before they count, so the words always back the numbers.
Don’t start from a blank page. Give Glaring your domain — it reads your site and drafts the buyer questions AI engines actually get asked, grouped into topics and ready to edit before anything runs.
Prompts live in topic sets, and every metric slices by topic — so you can see you’re winning comparison questions at 42% share while pricing questions lag, and put your effort exactly there.
You define the subreddits, keywords, and buying-intent signals that matter in your market. Glaring scans them daily, scores every thread for intent, and flags the conversations AI engines are already citing.
Every week Glaring mines the new answers for gaps and drafts recommendations. Your team — or GLOW — curates the queue from proposed to done, and that same queue powers the action items in every report. One brain, not two.
We configure the real questions your customers ask, then run them through ChatGPT, Perplexity, and Gemini every week, capturing every response, citation, and mention verbatim.
Glaring maps the listicles, review sites, and Reddit threads powering AI answers in your category, and flags every influential source where you’re absent.
Your team or GLOW works the gap list. Citation share tells you what worked.
GEO is the practice of improving how AI engines like ChatGPT, Perplexity, and Gemini represent your brand: how often they cite you, recommend you, and pull from sources where you have presence. It’s SEO’s successor for the AI-answer era.
SEO tools measure rankings on results pages people increasingly skip. Glaring measures the answer itself — what AI actually says, cites, and recommends — and traces it back to the specific sources you can influence.
Mostly, yes. GEO (generative engine optimization) and AEO (answer engine optimization) describe the same discipline: improving how often AI engines cite and recommend your brand. Glaring covers both, because it tracks the signal underneath both terms: citations and recommendations, not rankings.
Three today: ChatGPT, Perplexity, and Gemini, each run weekly against your prompt set with web search on. A dedicated research agent maps the Reddit threads they cite. We go deep on the engines driving the most buyer research rather than shallow across eight — and we add an engine the moment it starts showing up in real buyer behavior.
Three layers of screening. Mentions are matched on exact word boundaries, so a brand named 'Cadence' never gets credit for the word 'cadences'. If a prompt itself names your brand, the AI echoing it back never counts toward visibility — only unprompted mentions do. And an AI judge reads each remaining mention in context to confirm it's genuinely about your company, with rejected matches shown alongside the judge's reason, never silently dropped.
A source AI already cites when answering your category’s questions — a listicle, a review, a Reddit thread — where your brand never appears. Those are the highest-leverage targets.
Yes. Glaring is built by GLOW. We can run the full loop: gap analysis, content strategy, and authentic community engagement, with Glaring measuring the results.
The scoreboard is live in week one. Community engagement can move answers in weeks; content placements compound over months.
We’ll run your category’s questions live and show you your citation share, your gaps, and your competitors’ footprint, before you commit to anything.