See Where Your Program Stands in AI Search
Run the AI visibility scorecard to grade your program on the metrics that matter, then run the full diagnostic to see where AI cites you today and what it is costing you.
Everything you need to run a release that artificial intelligence (AI) will cite. Written for the person who writes the releases and runs the program.
Lead with a clear point of view on an economically relevant datapoint. Not a range. Not "significant." A specific number tied to money or a metric a buyer cares about. AI cannot invent a number, so when a buyer asks a question that needs one, AI cites the source that published it. Publish the number, become the citation.
| Headlines AI cites | Headlines AI ignores |
|---|---|
| "Third-party logistics (3PL) providers generate $27 for each $1 spent on marketing" | "Acme Logistics Announces Strategic Partnership with XYZ" |
| "Detention fees added an average of $X per load in 2026, up Y% year over year" | "Acme Logistics Names New Vice President of Sales" |
| "On-time delivery in refrigerated freight fell to Z% in the first quarter" | "Acme Logistics Reports Significant Growth This Year" |
These are illustrative formats, not published figures. Use your own real numbers. The point is the shape.
A specific number only works if it sits on a topic buyers actually ask AI about. Write about the questions your buyers type into ChatGPT, not your internal milestones.
| Gets cited | Rarely cited |
|---|---|
| Original benchmark data and survey findings | New hires and promotions |
| Cost and price figures buyers plan around | Award wins |
| Market trend numbers and forecasts | Partnership announcements |
| Operational metrics: dwell time, detention, on-time rate | Office openings and rebrands |
| Return on investment figures | Event sponsorships |
Fill in the brackets. Keep the structure. The headline and first sentence do most of the work, because that is what AI reads and reuses.
Run every release through this before it goes out. If any box is unchecked, fix it first.
Citations are your leading indicator, so measure them directly. Once a week, and again two to four weeks after a release, run a set of buyer questions through each major AI tool and record whether your company or data shows up.
Ask the questions your buyers ask, not your brand name. For example:
Expect a 4 to 8 week lag. A release from last month often shows up in answers this month. Do not judge a release the week it goes out.
| Date | Release or stat | AI tool | Prompt tested | Cited? |
|---|---|---|---|---|
This manual method is the floor. The Answer Engine Optimization (AEO) scorecard tool and the full diagnostic go deeper and automate the check.
Consistency is what lets AI lock onto you as a source. A burst followed by silence does not compound. Show up on the same schedule every week.
Clicks are falling structurally because AI answers the question first. Grade on citations and search impressions. A program can be winning on visibility while its click count falls.
Citations come first, traffic follows on a lag. Do not cancel a working program because week-over-week looks flat. The effect compounds, it just takes time to show up.
Run the AI visibility scorecard to grade your program on the metrics that matter, then run the full diagnostic to see where AI cites you today and what it is costing you.