---
title: "Your Brand Was Mentioned Three Times: An AI Visibility Sales Call"
description: "Scene: the discovery call Date: Tuesday, 10:02 AMAttendees: Chad: Senior Director of Strategic Growth & AEO Solutions, PromptPulse.io Mark: Co-owner of…"
url: "https://groas.com/post/your-brand-was-mentioned-3-times-this-mo"
image: "https://groas.com/media/blog/3c34f7f96af36ae8953d0246669f1cbc79b7797d5f880b0dcddad05c68df01fe.png"
published: "2026-10-04T05:41:16.182Z"
modified: "2026-10-04T05:41:16.954Z"
---

[AI For Google Ads](https://groas.com/category/ai-for-google-ads) · October 4, 2026 · 9 min read

# Your Brand Was Mentioned Three Times: An AI Visibility Sales Call

[DavidFounder & CEO @ groas](https://groas.com/author/david)

![Cover image for: Your Brand Was Mentioned Three Times: An AI Visibility Sales Call](https://groas.com/media/blog/3c34f7f96af36ae8953d0246669f1cbc79b7797d5f880b0dcddad05c68df01fe.png)

In this article

1. [Scene: the discovery call](#scene-the-discovery-call)
2. [Scene: the proposal](#scene-the-proposal)
3. [Scene: month three](#scene-month-three)
4. [Exhibit C: the translation table](#exhibit-c-the-translation-table)
5. [Scene: the implementation question](#scene-the-implementation-question)
6. [Scene: the final question](#scene-the-final-question)

## Scene: the discovery call

**Date:** Tuesday, 10:02 AM\
**Attendees:**

- **Chad:** Senior Director of Strategic Growth & AEO Solutions, PromptPulse.io
- **Mark:** Co-owner of a regional industrial valve distributor ($18M annual revenue)

**CHAD:** Thanks for making time, Mark. Before we inspect the platform, I want to benchmark your brand’s AI share of voice. When a plant manager asks Perplexity or ChatGPT for high-pressure sanitary valves in Ohio, how often does your company get cited?

**MARK:** I have no idea. We spend twelve thousand dollars a month on Google Ads, and the warehouse phone rings.

**CHAD:** That worked in 2023. Right now, your business is invisible in the latent space. Let me pull up our enterprise console.

### Exhibit A: the share-of-voice pie chart

**CHAD:** What you’re looking at is our proprietary _Sovereign Retrieval Matrix_. We run simulated buyer journeys across ChatGPT, Claude, Perplexity, and Google AI Overviews. Look at this pie chart. Competitor A holds 42% share of voice for Midwest valve procurement. Competitor B has 31%. Your brand sits in the grey slice labeled “Other,” which controls exactly 4.1%.

**MARK:** Who is Competitor A? That company went into liquidation eighteen months ago.

**CHAD:** The models haven’t absorbed that development, Mark. What matters is citation density. Competitor A has persistent authority in the answers we track. Every time an operations director gets that recommendation, your catalog gets bypassed.

**MARK:** Our warehouse did two million dollars in gross shipments last month.

**CHAD:** Unmeasured shipments. Offline momentum running on legacy search fumes. What happens when AI answers swallow another thirty percent of your organic pipeline?

**MARK:** Is that thirty percent in the pie chart?

**CHAD:** It’s in the risk outlook. Different tab.

### Exhibit B: the live query

**CHAD:** Watch this. I’m typing into Perplexity: _“Who are the top three distributors of stainless sanitary butterfly valves in Cleveland?”_ There’s the answer. Citation two is an affiliate blog that hasn’t published since November 2021. Citation three is a Reddit thread from seven years ago. Your domain isn’t in the answer, the footnotes, or the follow-up suggestions.

**MARK:** **If we sign up, do you get our catalog into that answer?**

**CHAD:** We provide the enterprise observability layer. We query eighty prompt variations twice a week, quantify brand sentiment, and generate an executive PDF every Monday. Your leadership team can see precisely how much visibility you’re missing.

**MARK:** So you tell us we aren’t on the screen.

**CHAD:** With context. You cannot improve what you do not measure.

**MARK:** Do you do the improving?

**CHAD:** That’s an excellent question for the proposal.

## Scene: the proposal

### Three tiers, each with a larger view of the same screen

**CHAD:** We structure the platform around algorithmic query bands. _Vanguard Observer_ costs **$399 a month** for 25 tracked prompts across two engines. For ChatGPT, Claude, and Perplexity, _Latent Momentum_ costs **$899 a month** for 75 prompts. Most industrial leaders choose _Sovereign Presence_ at **$1,850 a month**: 150 prompt permutations, daily drift reports, and webhook alerts when an LLM hallucinates your pricing.

**MARK:** What happens after the webhook alert?

**CHAD:** Your team gets the alert.

**MARK:** Right. Let me do the math on the first tier. [Perplexity’s Sonar API lists a request fee of five dollars per thousand searches](https://docs.perplexity.ai/guides/pricing). That’s half a cent a request. The checks aren’t the expensive part of a $399 subscription.

**CHAD:** You aren’t buying requests. You’re licensing our proprietary orchestration architecture. It aggregates semantic vectors, calculates competitive model mindshare, and maps cross-engine latency into an executive interface. [Other AEO and GEO intelligence platforms use subscription tiers](https://ayzeo.com/geo-platforms-compared-2026/), too. Premium observability requires an interface.

**MARK:** I already have an interface. It’s where your PDF arrives.

**CHAD:** Ours has a pie chart.

![A slide showing three AI monitoring subscription tiers beside a widget reading “Zero actions taken.”](https://groas.com/media/blog/49b0d49280583a0758a98daf7cd7987b9dc5e30fa3e7d2c27e98a617a0b344f9.png)

### The Sentiment Index meets the actual answers

**MARK:** Fine. Say I pay $899 a month. What’s this second dial, the one labeled _Syntactic Warmth Velocity_?

**CHAD:** Our conversational sentiment index. It analyzes token-level embeddings to determine whether a model sounds structurally optimistic or adversarial about your brand. Your score is **7.8 out of 10**. Solidly in the upper quartile of latent industrial goodwill.

**MARK:** In the eighty-prompt sample you showed me, we appeared twice. The first answer said we went out of business during the pandemic. The second gave the phone number of a pizza restaurant in Akron that took over our old warehouse six years ago. How do two wrong answers make a 7.8?

**CHAD:** Token valence. The model called the supposed closure an _honorable restructuring_. It used _legacy_, _tenure_, and _historic operations_. A person sees a factual error. Our platform detects an exceptionally cordial tone.

**MARK:** A customer calls a pizzeria asking for four-inch butterfly valves, and the syntax is cordial.

**CHAD:** That’s why we show the score beside the raw outputs. For context.

**MARK:** Can your platform correct either answer?

**CHAD:** It can alert you when the score changes.

**MARK:** Can it tell us why the wrong phone number appeared?

**CHAD:** It can show you where it appeared.

**MARK:** Those are different things.

**CHAD:** They occupy adjacent tabs.

## Scene: month three

### The report announces 400% growth

Three months and $2,697 later, the scheduled executive summary lands in Mark’s inbox. A multicolored donut chart fills the cover. Its lime-green callout reads **Brand Presence Velocity: +400%**.

The underlying count rose from **one mention to five** across the monitored prompts. In month one, the company appeared once in a hallucinated Perplexity footnote. In month three, three mentions appeared in Claude outputs comparing discontinued 2014 flange specifications. Perplexity cited a scraper directory in another. ChatGPT supplied the fifth by identifying Mark’s company as an Italian valve manufacturer based in Modena.

The report calls this a _quadrupled categorical footprint_. It does not call any of the five a correct answer to a buyer’s question.

**MARK:** We’re not based in Modena.

**CHAD:** Which is why geographic perception is now an opportunity area.

**MARK:** And the discontinued flanges?

**CHAD:** Historical product association. It tells us the models have formed a relationship with your brand.

**MARK:** Do any of the five answers help somebody buy a valve from us?

**CHAD:** The report measures presence, not purchases.

### Page fourteen contains the plan

Beneath a spiderweb diagram titled _Semantic Resonance Across Core Industrial Verticals_, Mark finds the quarterly _Strategic Next Steps_:

1. **Maintain Observational Vigilance:** Continue monitoring the existing 75 prompt vectors.
2. **Expand Query Coverage:** Upgrade to _Sovereign Presence_ ($1,850 a month) to track 150 prompt variations.
3. **Content Enrichment Alignment:** Review Appendix C and consider producing technical assets that address retrieval gaps.

**MARK:** Which technical assets did you produce?

**CHAD:** We identified the gap.

**MARK:** Which crawl errors did you fix?

**CHAD:** We don’t touch your site.

**MARK:** Which trade publications did you approach? Which product specifications did you make easier to find? Did you correct anything that led to the pizzeria?

**CHAD:** Those are execution questions. We’re the intelligence layer.

**MARK:** Then why is the next step to pay you more?

**CHAD:** At 150 prompts, you can see twice as many gaps.

## Exhibit C: the translation table

**CHAD:** I can walk you through the terminology. It’s all in the deck.

**MARK:** Keep the deck. I’ve made my own table. I checked [the AEO glossary](https://groas.com/post/the-aeo-and-ai-search-glossary-what-ever) when your proposal arrived.

| Pitch-deck term                  | What I thought I was buying                                     | What your report delivered                                             |
| -------------------------------- | --------------------------------------------------------------- | ---------------------------------------------------------------------- |
| **Algorithmic Share of Voice**   | A way to help buyers find our business instead of a competitor. | A count of how often our name appeared in a set of tracked queries.    |
| **Syntactic Sentiment Index**    | A measure of how the answers described our products.            | A high score for a polite sentence saying we had closed.               |
| **Semantic Drift Alert**         | Protection when a damaging answer appeared.                     | An email saying a different answer appeared.                           |
| **Strategic Visibility Roadmap** | Work to make accurate citations more likely.                    | A request that our team consider writing content and buy more prompts. |

**CHAD:** “Delivered” is a narrow way to frame an intelligence product.

**MARK:** It’s a useful way to frame an invoice.

## Scene: the implementation question

### Mark asks what would have to change

**MARK:** Forget the sentiment dial. If the answers are wrong or missing, what would somebody actually work on?

**CHAD:** Appendix C lists potential retrieval voids.

**MARK:** In plain English.

**CHAD:** Your team could review whether crawlers can access the relevant pages. A misconfigured `robots.txt` file can block a bot; a page that serves an empty HTML shell until JavaScript runs may leave it with little to retrieve. Our platform could monitor whether the domain starts appearing after your team addresses that.

**MARK:** So first, make sure a machine can read the catalog. What else?

**CHAD:** Put the specifications and answers buyers need where they can be extracted, instead of burying them beneath paragraphs of corporate introduction. There’s a [passage-first layout guide](https://groas.com/post/how-to-get-your-business-cited-in-ai-ove) in our references. You could also review where independent sources discuss your company and products: trade publications, specialist databases, community forums. A model drawing on those sources needs something useful and accurate to find.

**MARK:** That sounds more relevant than whether its tone is warm. Do you fix the crawl access, work on those pages, or build those outside references?

**CHAD:** No. But we can tell you whether your mentions move after someone does.

**MARK:** Can your report at least tell a correct citation from the Modena one?

**CHAD:** The raw output is available for human review.

**MARK:** By a human on my team.

**CHAD:** Yes.

**MARK:** While your dashboard calls both of them growth.

**CHAD:** It calls them presence.

### Mark prices the part he can do himself

**MARK:** I need a baseline. I don’t need 75 prompts or a warmth score. I could check the twenty buyer questions we care about once a week and note whether our domain appears in the citations. That’s about eighty checks a month.

**CHAD:** Manually? That won’t scale.

**MARK:** With a small script or a Google Sheets automation. Query Perplexity, inspect the returned citations, record our domain or the domains that appeared instead, and keep the answer beside the date so somebody can check whether it’s right. At the [listed request fee](https://docs.perplexity.ai/guides/pricing), eighty searches would cost about forty cents in request fees. I’d still have to set it up and review it. But the report wouldn’t pretend an Italian headquarters is a win.

**CHAD:** Our platform offers cross-engine coverage.

**MARK:** And I’d need separate checks if I wanted a comparable view elsewhere. I understand the limitation. I’m not trying to build your whole dashboard; I’m trying to find out whether watching is the expensive part.

**CHAD:** Our reporting includes executive-ready visualization.

**MARK:** The warehouse phone is executive-ready.

![Diagram contrasting a SaaS dashboard alert with a short script checking Perplexity citations.](https://groas.com/media/blog/1640aa80d7313205ed1c00f9131ec523c9fe70750315d6dfe8568973352b04e8.png)

## Scene: the final question

**CHAD:** Before you decide, I can extend the _Latent Momentum_ rate if you commit this week. You’ll get the Monday PDF, drift alerts, and a quarterly review of the visibility roadmap. If the five mentions become thirty, you’ll see the change immediately.

**MARK:** Who is doing the work that might make them thirty? Who checks access, fixes the pages, publishes useful specifications, and works on the sources buyers and models actually consult?

**CHAD:** Your team, or an execution partner.

**MARK:** Then that’s the proposal I need. [groas earned search](https://groas.com/earned-search) at least puts execution in the offer: AI models doing the ongoing search work, with a human strategist responsible for direction and guardrails. Your offer is a subscription to the view from the sidelines.

**CHAD:** We prefer _continuous visibility intelligence_.

**MARK:** I gathered that from the pie chart.

I used to see this in 2015 PPC reporting decks: **knowing you aren’t cited is not a plan for getting cited.**

## Frequently Asked Questions

### Does an AI visibility monitoring tool actually get my brand cited in AI answers?

No. Monitoring platforms like the one in this story only measure and report mentions; they do not fix crawl access, restructure pages, or build outside references. Earning citations requires execution work, either by your own team or by a partner that puts it in the offer.

### What are AEO monitoring subscriptions actually charging for, given how cheap the underlying API checks are?

Mostly dashboards and reporting. The example uses Perplexity's Sonar API, which lists five dollars per thousand searches, about half a cent per request, while tiered plans run from $399 to $1,850 a month. The vendor's answer is that customers are licensing proprietary orchestration and an executive interface, not the requests.

### How can a 400% AI visibility growth number be misleading?

Because it counts presence, not purchases. In the example, mentions rose from one to five, but the answers included a claim the company had closed, discontinued 2014 flange specifications, and an identification of the company as an Italian manufacturer in Modena. None of the five was a correct answer to a buyer's question.

### What should I work on if AI assistants give wrong or missing answers about my company?

First make sure machines can read your catalog, since a misconfigured robots.txt file or a page serving an empty HTML shell until JavaScript runs can leave crawlers with little to retrieve. Then put specifications and answers where they can be extracted instead of buried under corporate copy, and review what trade publications, databases, and forums say about your products.

### Can I track my brand's AI citations myself instead of paying for a platform?

Yes, for a basic baseline. Check the buyer questions you care about weekly with a small script or Google Sheets automation, note whether your domain appears in the citations, and keep answers beside the dates for human review. At Perplexity's listed request fee, about eighty searches a month cost roughly forty cents.

### Why does the vendor's next step after monitoring involve upgrading to a higher subscription tier?

Because more prompts mean more visible gaps, not more fixes. The proposal in the story recommends upgrading to 150 prompt permutations so the company can see twice as many gaps, while the vendor explicitly does not touch the site, fix crawl errors, produce content, or approach publications.

## Related Posts

- [![Clay figure pours a wheelbarrow of articles into a wall funnel whose pipe is disconnected, so the pages pile on the floor beside an unused wrench.](https://groas.com/media/blog/e1a99963f159a4756e614472ee73400643c5900fa7bde718abe8fa563e8cdc77.png)](https://groas.com/post/can-chatgpt-even-read-your-site-a-45-min)
  ### [Can ChatGPT Read Your Site? A 45-Minute Check Before You Write More AEO Content](https://groas.com/post/can-chatgpt-even-read-your-site-a-45-min)
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- [![A tiny worker on a ladder fixes up five model shopfronts while a giant dusty 'take a number' dispenser looms behind, its ticket queue ignored.](https://groas.com/media/blog/35c8ce6c06242ab08178711c5abe08dda0df51ec927a2dd6bc9770aa5f83bdbf.png)](https://groas.com/post/one-strategist-zero-developers-five-clie)
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## The Machines Already Run Search, You Should Probably Own One

[get started free](https://groas.typeform.com/to/xC1bQNUT)

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