Key takeaways
- A monthly cadence is the sweet spot. It catches real shifts without creating reporting fatigue, and AI answers are noisy enough that weekly snapshots mislead.
- Build the report around a fixed prompt set per location, split by intent (branded, commercial, informational), and track the same set every month.
- Show five things: visibility score, share of voice against named local competitors, average position, the sources AI cites, and what you did about the gaps.
- Pair AI data with Google data. BrightLocal's own 2026 consumer survey found that 75% of AI users head to Google to verify a recommendation, so a report that ignores Google tells half the story.
- Don't promise outcomes. No tool can guarantee a recommendation. Report what changed, what you did, and what you'll do next.
Why local clients need their own AI report
A small business owner doesn't care about "share of model." They care whether ChatGPT tells someone to call them instead of the competitor down the street. That's the whole job of this report.
The demand is real, though the figures come from a vendor. BrightLocal's 2026 consumer survey (n=1,164) reports that 58% of consumers have used AI to find or get a recommendation for a local business, and AI is the fourth most common place to start a local search. It also found that 18% of AI users contact a recommended business directly. Treat these as one vendor's data, but the direction matches what agencies are hearing from clients.
The tricky part is that general AI visibility reports are built for brands with national footprints. Local clients need location-level data, a short prompt list that reflects how real customers phrase things ("best plumber near me", "emergency dentist open Sunday"), and a plain-English narrative. That's what this guide covers.
Step 1: Define the scope per client
Before you track anything, write down three things for each client.
- Locations. Each physical location or service area gets its own score. Blending five locations into one average hides the one that's failing.
- Competitors. Pick three to five real local rivals, the ones the client actually loses jobs to. Auto-detected competitors are useful as a starting point, but check them. Sometimes the detected competitor is a directory, not a business.
- Business goal. Phone calls, bookings, store visits, form fills. This decides which "so what" you attach to the numbers.
A one-page scope document saves arguments in month four when the client asks why you aren't tracking their cousin's competing shop.
Step 2: Build a fixed prompt set
The prompt set is the foundation of the report. Change it every month and you can't compare anything.
A workable local set is 15 to 20 prompts per location. BrightLocal's tracker, for what it's worth, caps at 20 prompts per location and suggests prompts by business category, which is a reasonable ceiling for a small client anyway.
Split the prompts into three intent buckets:
| Intent | Example (dental clinic) | Why it matters |
|---|---|---|
| Branded | "Is Smith Family Dental any good?" | Shows reputation and what AI says when people already know you |
| Commercial | "Best dentist in Leeds for nervous patients" | Where new customers are won or lost |
| Informational | "How much does a dental crown cost in the UK?" | Early research, builds familiarity |
The split isn't cosmetic. Promptwatch Data found that ChatGPT's citation mix changes by intent (Sep 28 to Oct 4, 2026). For commercial prompts, product pages made up 26.0% of citations and landing pages 20.6%. For branded prompts, reviews were 5.6%, more than three times their overall share. So a client who is invisible on commercial prompts needs a different fix than one with a weak review footprint.
Two practical rules. Write prompts the way customers talk, including the city or neighborhood. And freeze the list for at least a quarter, adding new prompts only as a clearly labeled addition.
Step 3: Pick the engines to track
For local businesses, three surfaces do most of the work: ChatGPT, Google AI Overviews, and Google AI Mode. Add Perplexity and Gemini if the client's audience skews that way.
Track them separately. According to Promptwatch Data on average sources per response, ChatGPT cites about 5 sources per web-search answer while Google AI Overviews cites about 10 and Perplexity almost exactly 10. A local business that narrowly misses ChatGPT's short list can still appear in Google's longer one. Blending them would hide that.
The same report notes that Copilot's average swung from under 2 to nearly 17 sources within a few weeks, so judge it on monthly trends only. Perplexity's count barely moves, which makes it a useful stable test bench.
Step 4: Choose the metrics
Resist the urge to show twenty charts. Most trackers produce a flood of numbers, and a recurring complaint from agencies on Reddit's r/b2bmarketing is that raw mention counts and sentiment scores don't tell a client anything. Pick a few and explain them.
| Metric | What it answers | How to explain it to a client |
|---|---|---|
| Visibility score (0-100) | Overall, how often and how prominently are we recommended? | "Our report card for AI" |
| Mention rate | On what share of tracked prompts do we appear? | "Out of 20 questions, we came up in 7" |
| Share of voice | How do we compare to named competitors? | "For every 10 recommendations, we got 3" |
| Average position | When we appear, are we first or fifth? | "Are we the first suggestion or an afterthought?" |
| Sentiment | What tone does AI use about us? | "Is AI saying good things?" |
| Citation sources | Which sites does AI lean on for our category? | "Where AI gets its information" |
Read them together. Low share of voice is a coverage problem: you aren't being mentioned enough. Late position with decent mentions is a prominence problem. Mentions but few citations of the client's own site point to a content or crawlability issue.
Step 5: Add the Google layer
This is the part many AI reports skip, and clients notice. BrightLocal's survey says 75% of AI users go to Google to verify further. So the sequence is often: AI suggests, Google confirms, the customer calls.
Include a small block with:
- Google Business Profile views, calls, and direction requests
- Review count and average rating versus the top competitors
- Local pack position for two or three core queries
- Organic clicks from Search Console for the pages AI tends to cite
If a client's AI visibility rises while Business Profile calls stay flat, something is broken in the verification step: thin reviews, wrong hours, inconsistent listings. That's a useful finding, and it's one an AI-only report would never surface.
Step 6: Show where AI gets its information
Citation sources are the most actionable part of the report. For a local business, the cited pages are usually directories, review sites, local news, "best of" listicles, and the business's own site.
List the top ten domains AI cited for the client's prompts, mark which ones mention the client, and highlight the ones that mention only competitors. That list becomes the to-do list: get listed, get reviewed, get included in the roundup.
A caveat worth telling clients: third-party mentions are associated with AI visibility but don't guarantee it. An Ahrefs study of 75,000 brands, cited by SearchEye, found web mentions correlated at 0.664 with Google AI Overview visibility versus 0.218 for backlinks, and Ahrefs itself notes correlation isn't causation. Present citation work as raising the odds, not buying a result.
One more piece of context. Promptwatch Data shows ChatGPT now cites social platforms very little (0.46% of citations from Sep 28 to Oct 4, 2026, versus 12.2% for Google AI Overviews, in its social media citations report). If a client is pouring effort into social posting in hopes of ChatGPT recommendations, the report is where you gently redirect that budget.
Step 7: Choose your data collection tool
You don't need to hand-run prompts. Pick a tracker that fits the number of clients and locations you manage. Most vendor comparison articles rank their own product first, so treat their rankings with some salt and check pricing on official pages.
| Tool | Best fit | Notes |
|---|---|---|
| BrightLocal | Agencies already doing local SEO | Tracks ChatGPT, AI Mode, AI Overviews; 0-100 score per location; up to 20 prompts per location; 14-day trial |
| Promptwatch | Agencies wanting tracking plus fixing | Real-UI tracking, crawler logs, content tools, white-label reports |
| Otterly.AI | Tight budgets, short prompt lists | Some engines sold as add-ons |
| Peec AI | Source and competitor reporting | Monitoring focus |
| Semrush | Existing Semrush shops | Priced per domain |
| Tibly | Local-specific tracking | Smaller, local-focused tool |
BrightLocal is the natural choice if your local SEO stack already lives there: scores are per location, competitors are auto-detected, and an AI sources leaderboard routes citation gaps into its citation builder. I couldn't find public pricing for the AI add-on, so confirm with them.
If you want the report to feed into action rather than just describe the problem, Promptwatch tracks the real interfaces of ChatGPT, AI Overviews, AI Mode, Gemini, and Perplexity, supports country and (from the Business plan) state and city tracking, and has white-label PDF reports and an agency plan family. Check promptwatch.com/pricing for current plans.
For budget-conscious setups, these are worth a look:
For more options, the directories at ai-rank-tools.com and bestgeosoftware.com list dozens of trackers by price and feature.
A tool can't do the report assembly itself unless it has agency features. If you juggle several data sources, a client-reporting dashboard like AgencyAnalytics helps stitch AI, Google, and listings data into one view.
Step 8: Structure the report itself
Keep it to four or five pages. Clients skim. Here is a structure that works.
Page 1: Executive summary
Three sentences and one chart. What changed since last month, why it matters in plain language, and what you're doing next. If visibility fell, say so on page one.
Page 2: Scorecard
Visibility score per location, month over month, with mention rate, share of voice, and average position. One small table per engine. Flag changes smaller than your noise threshold as "no meaningful change". AI answers vary run to run, so a two-point wiggle isn't news.
Page 3: Competitor view
A simple table: client versus the three to five named competitors on share of voice and position. Add one sentence on who gained and why, if you know.
Page 4: Sources and gaps
The cited-domains list, with gaps marked. This is where you show the client that the fix is specific: "Three of the top five sources AI used for 'best electrician in Austin' list two competitors and not you."
Page 5: Actions and next month
What you completed (listings fixed, review request campaign launched, service page rewritten), what's planned, and anything you need from the client such as photos, FAQs, or approvals.
Step 9: Write the commentary
Numbers without a story get ignored. For each section, write one to two sentences answering "so what?"
A few patterns that work:
- Name the cause when you know it. "Visibility on emergency prompts rose after we added opening-hours schema and a dedicated emergency page."
- Admit uncertainty when you don't. "AI Overviews dropped us on two prompts; we don't see a change on our side and are watching it."
- Connect to business outcomes where possible, such as calls or form fills from AI referrals in analytics, but don't claim attribution you can't support. AI referral traffic is often small and partly hidden.
Avoid promising rankings. Tracking reveals source and competitor gaps. Content and placements can address them. Nobody can guarantee a given answer will include the client or stay stable after you publish.
Step 10: Set the monthly workflow
A repeatable process keeps the report profitable. Here is a rough schedule.
- Day 1: Pull the data from the tracker for all locations and engines.
- Day 2: Check anomalies. If a score jumped or collapsed, rerun a few prompts manually to confirm it isn't a tracking glitch.
- Day 3: Pull Google Business Profile, review, and Search Console numbers.
- Day 4: Write the commentary and the action list.
- Day 5: Send the report and book a 20-minute call for clients who want one.
Add a quarterly review. Once a quarter, refresh the prompt set, reset competitors, and compare the three-month trend. That's where bigger conclusions belong. Cognizo's guidance also lands on monthly as the right rhythm for most teams, and I agree: weekly reports tempt clients to react to noise.
Keep an eye on platform changes that can shift numbers overnight. Promptwatch Data documented that ChatGPT began using the site: operator at scale on August 8, 2026, jumping from roughly 0.4% to about 17% of fan-out queries (report), and that reddit.com's share of ChatGPT citations fell from about 4% to 0.5% on August 14, 2026 (report). When something like that happens, add a one-line "platform change" note to the report so the client doesn't blame you for a shift you didn't cause.
Common mistakes
- Tracking too many prompts. Fifty prompts per location produces noise and a big bill. Twenty good ones beat fifty vague ones.
- Ignoring location. A single national-style score for a client with four branches is nearly useless.
- Reporting only wins. Clients trust you more when the bad month is on page one.
- Forgetting content decay. Promptwatch Data's half-life study shows news pages lose half their citations within 36 days while landing pages and docs last longer (report). Evergreen service pages are a better bet for local clients than timely blog posts.
- Using unverified stats. Some vendor listicles quote figures like 800% traffic growth with no source. Leave those out of client decks.
A starter template you can copy
Client: ______ Month: ______
1. Summary (3 sentences)
2. Scorecard per location
- Visibility score (this month / last month)
- Mention rate by engine
- Share of voice vs. competitors
- Average position
3. Competitor table
4. Top cited sources + gaps
5. Google layer: GBP calls, reviews, local pack, Search Console
6. Actions completed / planned / needed from client
7. Platform changes this month
Where to go from here
Start with one client and one location. Build the prompt set, run a baseline, and send a first report that's honest about where they stand. The second report is where the value shows up, because that's when you can say what moved and why. If you plan to scale to many clients, choose a tracker with agency pricing and white-label exports before you commit, and confirm current plans on the vendors' own pricing pages.