Google AI Overviews
AI prompts naming the client
from AI engines to the AI Notice
The Business
The client is a brand naming agency that creates product and company names across multiple industries through a staged naming process. The agency screens every candidate for linguistic and trademark risk before showing any options. Buyers sit on both the marketing and legal side, from chief marketing officers and brand managers to general counsel and regulatory affairs directors.
The client’s own view is that the evaluation behind a name decides how long the name lasts. The pilot built its content on that view: an AI Notice and an Anchor Article both make the evaluation argument and answer the questions these buyers ask AI engines when they shortlist a naming firm.
The Objective
The AI visibility optimization pilot set out to make the client a source that AI engines cite when buyers ask which brand naming firms to consider.
- Focus on buyer questions about the naming process, linguistic and trademark risk, and names for regulated products, where the buyer is choosing a firm
- Publish one Anchor Article on the client’s domain to build its authority on brand naming
- Publish one AI Notice on the wire to carry the client’s evaluation argument into third-party sources
- Track the client’s AI visibility on four AI engines with a fixed set of buyer prompts for the AI Notice
- Measure share of voice and prompt coverage against competing brand naming firms
Core Challenges
Competing With Established Brand Naming Firms in AI Answers
Three rival naming firms were named 243, 207 and 189 times in the AI Notice prompt set. The sources the engines cited most were rival firms’ own websites and business directories. Engines draw on that footprint, so a firm without one starts every answer behind.
Buyers Ask AI About Naming Process and Risk
Buyers in this category ask exact questions, such as how a naming firm screens candidates for linguistic risk before showing them or how a drug name is reviewed for look-alike confusion. Engines answer those questions from firms that explain their method in public, so a naming process kept inside client meetings leaves them little to cite.
The Strategy
Prompt Selection Around the Buying Moment
The pilot wrote its buyer prompts in the voices of the people who hire a naming firm, from Chief Marketing Officer to General Counsel. The prompts mixed two kinds of questions: how naming works, such as how regulators review a drug name, and which firm to hire. Together they followed a buyer from learning the terms to picking a firm.
One Anchor Article
A long-form guide on the client’s site covers the same evaluation argument in full.
One AI Notice
The AI Notice went out on the wire and restated the client’s evaluation argument on third-party news sites.
Day-Zero Launch, Day-7 Measurement
Seven days after the AI Notice launched, the pilot ran its buyer prompts across four AI engines and tracked citations to the AI Notice’s placements. A separate Google check tracked the AI Notice’s keywords.
AI Visibility Optimization Results
AI Notice as a source
AI citation
with positive sentiment
second-most-named rival
The AI Notice’s campaign report adds the media side: the AI Notice ran on 660 placements with a combined potential audience of 86.9M monthly unique visitors, and AI engines cited it 109 times.
Share of Voice Among Brand Naming Firms
The client was named 46 times across the four engines in the AI Notice prompt set. Against the second-most-named rival, the client ranked higher in 80% of the 15 head-to-head matchups, with 12 wins and 3 losses. Against the most-named rival the figure was 35% of 23 matchups, and against the third-most-named rival it was 33% of 21.
Prompt Coverage and First-Named Finishes
The client’s AI visibility reached 39 of 200 buyer prompts, a brand visibility of 20%. Grok ranked the client first in 2 answers. The largest group of prompts naming the client was category questions, followed by buyer-intent and education questions.
Unprompted Discovery
No buyer prompt used the client’s name, yet AI engines named it in 39 of the 200. The other 35 prompts shared wording with the client’s own materials, such as a portfolio size or a number of process phases. 4 of the 39 prompts carried none of the client’s wording. They asked why technology names go obsolete, which agencies create technology names that last, how the FDA reviews drug names for look-alike confusion and what naming process would catch sound-alike confusion before launch.
The report’s awareness funnel follows that coverage by buyer awareness stage. Coverage was highest on solution-aware prompts and product-aware prompts, and lowest on problem-aware prompts. The report assigned no prompts to the most-aware stage.
| Buyer awareness stage | Coverage | Named the client | Prompts in stage |
|---|---|---|---|
| Unawarehas not identified the problem | 16% | 3 | 19 |
| Problem-Awareknows the problem, still scoping solutions | 2% | 1 | 55 |
| Solution-Awareevaluating solution categories | 49% | 19 | 39 |
| Product-Awarecomparing specific products | 30% | 13 | 43 |
AI Visibility by Engine
All four engines that ran named the client and read it positively, and the report logged no negative mention. Perplexity named the client in 30 of 200 prompts, followed by Grok at 7, Gemini at 6 and ChatGPT at 3. ChatGPT rated the client a top pick, Gemini and Perplexity recommended it, and Grok mentioned it. Grok was the only engine that ranked the client in a list, at #1.0.
Where the AI Visibility Came From
Citation tracking on ChatGPT, Gemini, Perplexity and Grok logged 109 placement citations to the AI Notice. Perplexity logged 96 of them, Gemini 7, and ChatGPT and Grok 3 each. In addition, AI engines used the AI Notice as a source in 100 of 200 buyer prompts.
Distribution Reach
The AI Notice reached 660 placements with a combined potential audience of 86.9M monthly unique visitors. Six placements carried the citations: the wire release and five regional editions of one financial news site. These six account for 41.0M of the reach, 47% of the total. Perplexity and Grok cited the news-site editions, while ChatGPT, Gemini and Perplexity cited the wire release.
Google AI Overview Visibility
Google tracking covered 802 keywords, 123 branded and 679 non-branded. Copies of the AI Notice ranked on Google for 38 keywords, 16 branded and 22 non-branded, with 37 of them in the top 10 and 8 in the top 3. Google AI Overviews cited a copy of the AI Notice on 184 keywords, 19 branded and 165 non-branded, and quoted it as the first source in 109 answers. All 184 citations pointed to news-site copies, and none pointed to the wire release.
Examples From AI Answers
None of the three prompts named the client, yet each answer listed it.
“What naming agencies have experience creating technology names that do not become dated quickly?”
Asked for agencies whose technology names last, Perplexity listed the client among six firms and described it as an experienced naming agency.
“Why do technology product names go obsolete faster than names in other categories, and what evaluation prevents that?” (asked as Tech Journalist)
For a journalist asking why technology names date quickly, Perplexity built its answer around prelaunch evaluation, trademark conflict checks and linguistic review, and it named the client in that answer.
“Our product is going to 18 countries and we need linguistic screening that covers pronunciation, misreading and unintended meaning across all target languages, what firms provide that?” (asked as Global Product Manager)
Gemini placed the client second among nine firms and highlighted its screening for pronunciation, misreading and unintended meaning.
How We Measured
The results on this page measure the AI Notice. The AI visibility optimization pilot tested it with one set of 200 buyer prompts, and each prompt ran on four AI engines: ChatGPT, Gemini, Perplexity and Grok. A mention counts when an engine names the client in its answer. Brand visibility is the share of prompts in which at least one engine named the client.
Citations were matched by exact URL, so a citation counts only when an engine listed a published copy of the AI Notice itself as a source. A separate Google check recorded organic keyword rankings and which Google AI Overviews cited a copy of the AI Notice.
Why This Matters
No buyer prompt used the client’s name, and AI engines named it in 39 of the 200. On 4 of those prompts, which carried none of the client’s own wording, the client still appeared in the answer.
Coverage was lowest on problem-aware prompts, where the client was named in 1 of 55. More AI Notices and Anchor Articles aimed at those prompts can extend this AI visibility optimization work to them.
Zen Media has applied this AI visibility optimization approach in small business insurance and home medical equipment. Want to see how your brand appears in AI answers to buyer questions? Contact Zen Media to explore an AI visibility strategy for your business.
