Trusted by leading teams worldwide
The #1 autonomous inbound engine for AI search
Trusted by innovative teams
Trusted by innovative teams
Audit your digital content to find blind spots and missed AI citation opportunities.
Fix, structure, and deploy content updates before AI detects any outdated stale data.
See real-time metrics on how fresh content increases AI citations and site traffic.
Let the results speak.
Wrodium scans your website and audits how AI models see you. Understand your brand's presence across ChatGPT, Perplexity, Gemini, Claude, and more — before your competitors do.
Wrodium optimizes your content for AI citation signals — structure, entity clarity, evidence, and comparatives — then publishes it directly. No guesswork, no manual rewrites.
Track how each AI model sees and recommends your brand — across ChatGPT, Perplexity, Gemini, Claude, Copilot, and more. Know exactly where you stand, engine by engine.
Turn Search Console insights into ready-to-publish content and ship it straight to your CMS. WordPress, Webflow, Ghost, Contentful, Framer, or custom API — we connect to all of them.
Wrodium scans listicles, roundups, and comparison articles across the web — then surfaces the writers and publications most likely to feature your brand, with relevance scores and contacts.
Draft personalized outreach in seconds. Wrodium writes tailored emails for each writer, referencing their article and explaining why your product is a fit — ready to send or edit.
For individuals building content for one brand or project
For growing teams optimizing visibility across AI engines
For organizations building enterprise-grade GEO strategies
Most "GEO" services are traditional SEO agencies repackaging old tactics for a new buzzword. Wrodium is different in four ways:
We're GEO-native, not SEO-retrofitted. We started by studying how AI systems actually decide what to cite and recommend, then built our framework (GEO-16) around those patterns. You're getting an approach designed for AI answers first, not links first.
We optimize for trust signals, not tricks. AI engines don't "rank" content the way Google does. They look for credibility, clarity, and consensus signals that make answers defensible. We translate that into practical content changes: structure, entity clarity, evidence, comparatives, and "citation-ready" formatting.
We're accountable to measurable outcomes. If a vendor can't define what success looks like in numbers, you're buying vibes. We work against a scoreboard: baseline AI visibility, citation share, prompt coverage, and conversion impact.
Founder-level work, not account-manager telephone. You work directly with the team building the frameworks and testing them. That means tighter feedback loops, faster iteration, and fewer "we'll ask our strategist" delays.
Here's the business case in plain terms you can share internally:
The risk: Customer discovery is shifting from search results to AI answers. If you're not cited or recommended in AI responses, you become invisible at the exact moment buyers are evaluating options. This isn't replacing SEO—it's a new distribution channel that influences pipeline earlier.
The opportunity: GEO is earlier and less saturated than SEO, so first movers establish "default" authority. AI-driven traffic tends to be higher-intent because users arrive pre-educated. Winning AI visibility creates compounding returns: more mentions lead to more authority, which drives more citations.
The investment thesis: You're buying measurable share of voice in AI answers, not "content refreshes." We implement inside your current workflows with no CMS migration, so risk and lift are low. We report monthly against agreed KPIs and show progress toward pipeline impact.
We track four categories of metrics designed to satisfy both marketing and finance:
AI Visibility Score — How often you appear for a defined set of commercial prompts, measured from baseline to target.
Citation Share — The percentage of AI answers that cite or mention you versus your competitors.
Prompt Coverage — The number of buyer questions where you appear in the top recommended set.
Down-Funnel Impact — Assisted conversions, demo requests, sales-sourced mentions ("found us via ChatGPT/Perplexity"), and customer acquisition cost impact.
First 30 days: We establish baselines—where you show up today, for which prompts, and why competitors win. We ship quick wins: "citation-ready" changes to high-value pages like comparisons, pricing, category pages, and FAQs. Early movement often shows up as more mentions and better inclusion in AI summaries.
60–90 days: Noticeable lift in citation frequency and prompt coverage for the prompt set we target. Clear before-and-after reporting of you vs. competitors by topic cluster. First evidence of downstream impact: more qualified inbound, better lead quality, and sales mentions.
3–6 months: Stronger category authority—you appear more consistently across multiple prompt variants. Durable defensibility: your content becomes the "safe source" models lean on. Conversion improvements from better content clarity, even outside AI. Most teams see more "shortlist" appearances (top 3–5 recommendations), more citations on high-intent prompts like "best X for Y," "X vs Y," "pricing," and "alternatives," and better-qualified demos because prospects arrive with context already built.
If even a slice of discovery moves to AI answers, the risk is not "less traffic"—it's less consideration. When buyers shortlist inside AI, you can't retarget your way into the conversation. The brands that establish authority in AI responses now will compound that advantage over time, making it progressively harder and more expensive for late movers to catch up. This is a visibility and pipeline protection play: be present where decisions are forming, or be left out of the consideration set entirely.
Didn't find your questions in here?
Ask our GPT
