Citations You Can Measure.
GEO only matters if it shows up in answers and pipeline. The examples below are illustrative of the outcomes we build toward, real, attributable case studies replace them as engagements complete.
What Results Does GEO Deliver, and How Do You Measure Them?
GEO results are citations: how often AI engines name, quote, and recommend you for the prompts your buyers actually ask. We measure citation frequency, share of voice per engine, sentiment, AI-referred traffic, and the pipeline it drives, baselined before we start and re-audited monthly, so every gain is attributable to the work that earned it.
Illustrative Outcomes
Modeled on our methodology and the published GEO research, not named clients. They show the shape of the lift a focused engagement is built to produce.
From Invisible to Default Answer in 11 Weeks
Answer-capsule rewrites plus an original benchmark study made them the most-cited source for their core comparison query in ChatGPT and Perplexity.
Owning the 'Best Alternative To' Prompt
Technical GEO unblocked AI crawlers, then a digital-PR program earned placements on the third-party surfaces the models trust most.
Sentiment Turnaround
We corrected outdated framing models were repeating and seeded accurate, current sources, flipping how engines describe the product.
How We Measure Results
GEO has its own scoreboard. We track five layers, from the raw citation up to the pipeline it influences, the full method lives in our guide to measuring AI visibility and runs continuously inside the ezgeo.ai platform.
Citation frequency
How often AI engines name and quote you across a fixed panel of buyer prompts, re-run on a schedule.
The base unit of GEO. If you aren't cited, you aren't in the buying conversation.
Share of voice per engine
Your citations as a percentage of all brands named for a prompt, scored separately for ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude, and Copilot.
Each engine retrieves differently. A blended average hides where you're winning and losing.
Sentiment
Whether the engine describes you positively, neutrally, or negatively when it does cite you.
Being named badly is its own problem. Outdated or wrong framing repeats until you correct the sources.
AI-referred traffic
Sessions and assisted conversions arriving from AI surfaces, isolated from organic search in analytics.
Citations that send qualified visitors, the bridge between visibility and revenue.
Pipeline influence
How AI-sourced visits map to demos, trials, and opportunities in your CRM.
The only number your board cares about. Every report we send ties back to it.
What a Typical Engagement Looks Like
One 90-day arc: audit, fix, re-measure. We baseline before any work starts so the lift is attributable, then keep a freshness cadence running so you don’t fall off the citation cliff once you’re winning. See the full sequence in how it works.
Audit
We baseline citation frequency, share of voice, and sentiment across all six engines, then map the gap to the competitors AI names instead of you. You get a prioritized roadmap before any production work starts.
Fixes
Crawl access for GPTBot, PerplexityBot, and Google-Extended; schema and entity infrastructure; answer-capsule rewrites of priority pages; and the first digital-PR and original-research pushes that earn third-party citations.
Re-measure
We re-run the same prompt panel against the same baseline so the lift is attributable, not anecdotal, then keep the freshness cadence going so you don't fall off the citation cliff.
What Good Looks Like
We don’t set targets from thin air. These are the lifts the published GEO research associates with specific tactics, the benchmarks we engineer toward. Dig into the underlying levers in our guides on answer capsules and GEO statistics.
| Tactic | Benchmark lift | Why it moves the needle |
|---|---|---|
| Add statistics to a page | ~+41% citation visibility | Concrete numbers get lifted verbatim into answers far more often than vague claims. |
| Add authoritative quotations | ~+28% citation visibility | Quoting credible third-party sources is one of the strongest single levers in the GEO research. |
| Earn distribution across cited surfaces | markedly more pickups | Content placed on the sources models already trust is referenced far more often than self-published pages alone. |
| Keep content fresh | favoured for citation | Recently published or updated pages are favoured before the freshness cliff drops them out of answers. |
Figures are directional, drawn from public GEO research; real per-client lift depends on starting position, category competition, and engine.
Results, Answered Honestly
How long until GEO results show up?
Technical and access fixes can lift visibility within a few weeks. Durable citation share, being consistently named for your category's key buyer prompts, typically takes two to four months of content and authority work, then compounds from there. We re-measure against your baseline so you can see the curve.
How do you prove ROI?
Every report ties back to pipeline. We track AI-referred traffic in your analytics and map those sessions to demos, trials, and opportunities in your CRM, alongside the citation and share-of-voice gains that produced them. You see the lift and the work that earned it, not a vanity dashboard.
Do you guarantee citations?
No, and you should be wary of anyone who does, because no agency controls how a model retrieves. What we guarantee is the method: the access fixes, answer-ready content, third-party placements, and freshness cadence that the published research shows drive citation lift, plus monthly measurement so progress is visible and accountable.
What if it doesn't work?
Because we baseline first and re-measure on the same prompt panel, we catch a flat curve early and adjust, usually it points to a specific gap in access, authority, or freshness. We'd rather change tactics than keep spending against a metric that isn't moving, and the audit makes that visible within the first engagement.
How is success measured?
In AI-native terms, re-audited monthly: citation frequency, share of voice per engine versus competitors, which buyer prompts you appear in, sentiment, AI-referred traffic, and the pipeline it drives. We track six engines separately because each one retrieves differently and a blended average hides where you're winning or losing.
Are these case studies real clients?
Not yet. The agency is new, so the examples on this page are illustrative of the outcomes our methodology and the published GEO research build toward, not named clients or testimonials. We replace them with real, attributable results as engagements complete.
See What AI Says About You Today.
Run the free check to see whether AI recommends you and who it names instead, or book a strategy call and we’ll walk your numbers with you. No obligation either way.