What if the client's pick rate is zero?

Present it as the starting line, not a failure. Show who is named instead and why; a zero with a clear fix list is often the most persuasive report.

How often should I send AI visibility reports?

Monthly works for most clients, with a full re-test every 4 to 8 weeks and lighter weekly tracking in between. Alerts for big drops are worth turning on.

How to present an AI visibility report to a client

By the Pickgap team · Updated Oct 15, 2026 · 3 min read

Lead with one number and one name: the client's pick rate and the competitor AI picks most. Then show the questions where they're missing, the sources AI relies on, and three fixes with the evidence for each. Be honest about noise and limits, agree on the next steps, and set the date for the re-test that will show whether the fixes worked.

Start with the finding

Owners are busy. Open with the one thing they need to know:

"When people in Tampa ask AI for a dentist, Harbor Family Dental is named in 64% of answers. You're named in 12%. That 52-point gap is what we're going to close."

Everything else in the meeting explains that sentence and what to do about it.

A 20-minute meeting outline

1. The number (3 minutes)

Pick rate overall, with the sample: "12%, 30 of 250 answers."
The noise range, in plain words: "Run this test again tomorrow and you'd land somewhere between 8% and 16%."
The most-picked competitor and their rate.

2. By AI surface (3 minutes)

Show the rate on each surface: ChatGPT, Gemini, Perplexity, Google AI Overviews and Google AI Mode. Clients are often surprised that they do well on one and are absent from another. Explain in one line why: Google's AI uses Google's data; ChatGPT and Perplexity rely more on directories and other sites.

3. Who gets picked instead (3 minutes)

The leaderboard: the 5 businesses named most, with their rates. Ask the client what they know about them. This is usually where the meeting comes alive.

4. Real answers (3 minutes)

Read out two or three actual AI answers, including one where a competitor is recommended and the client isn't. Hearing the words makes it real.

5. Why, and the fixes (6 minutes)

Three fixes, each with its evidence:

"Harbor has 612 Google reviews; you have 88. Goal: 150 in 90 days."
"AI cited Healthgrades in 41 answers; your profile there is unclaimed."
"Your homepage doesn't mention Tampa or the insurance you take."

6. Next steps (2 minutes)

Agree who does what, and set the re-test date, usually 4 to 8 weeks out.

Be honest about limits

Say these out loud; they build trust:

It's a standardized test through the AI services' APIs, not what every customer sees in the apps.
AI answers vary; small changes month to month can be noise.
No one can guarantee AI will name a business. The fixes raise the chances.

Follow-up reports

Each month, show the same view, with the movement since last time, labeled up or down only when it's bigger than the noise. Then show which fixes were completed. Over time, the story becomes: "we fixed these three things, and your pick rate moved from 12% to 31%". That's the result you can't fake and the client can't argue with.

Formats that work

A PDF with your logo for the owner to keep and forward.
A walkthrough call for the first report, so the client hears the findings before reading them.
A short email with the headline numbers and the link, for owners who won't open attachments.

Pickgap reports come as a PDF white-labeled with your logo, which is emailed to the client's contacts after each deep scan, and the sample report shows the full layout.

Questions

What if the client's pick rate is zero?: Present it as the starting line, not a failure. Show who is named instead and why; a zero with a clear fix list is often the most persuasive report.
How often should I send AI visibility reports?: Monthly works for most clients, with a full re-test every 4 to 8 weeks and lighter weekly tracking in between. Alerts for big drops are worth turning on.