If I had to get my brand cited by AI, I would build this Grok bot

I searched AppSumo for AEO and got zero results. More than 30 venture-backed AEO tools share over $200 million in funding. A tracker hands you a percentage you cannot act on. So instead of buying the measurement, I built the thing it measures: seven Grok bots for $20 a month that do the work of getting a brand cited by ChatGPT, Perplexity, Gemini, and Google AI Overviews.

Why do AI answer engines cite some brands and ignore others?

Before I built anything I ran a research pass. I used Firecrawl to index sources and Apify to pull Reddit commentary, 142 posts across 14 subreddits, plus every major vendor study from the last few years. Three findings shaped the build.

First, mentions beat backlinks by about three to one. Ahrefs studied 75,000 brands. Branded web mentions correlate with AI Overview visibility at 0.664. Backlinks correlate at 0.218. Second, reviews are a gate, not a gradient. In the SOCi 2026 Local Visibility Index, recommended businesses average 4.3 stars on ChatGPT, 4.1 on Perplexity, and 3.9 on Gemini. Locations near 3.4 stars with a response rate under 5% are effectively invisible.

Third, volume beats perfection. Uberall studied more than 120,000 mentions across five verticals, and review volume predicted AI mentions better than star rating in most categories. Restaurants with no review platforms beyond Google saw a 51.2% mention rate. At four platforms, 89.6%. A star rating alone is nothing a model can quote. A pizzeria with 4.7 stars and thousands of ratings was ignored for "best pizza near me" because its reviews said "great pizza" while the competitor had paragraphs about the wood-fired crust. Detail, volume, spread, response. That is the whole job.

Why build it in Grok instead of buying an AEO dashboard?

I picked Grok bots for three reasons, and none of them is that it is the smartest model. Every bot gets its own cloud computer and its own logins on Yelp, Trustpilot, directories, and Reddit. Agent-to-agent delegation is on by default, and this workflow is a team with real handoffs. Routines are built in, and Profound found the average Reddit post cited by AI in 2025 was posted roughly a year earlier. This has to run forever, which means it has to run without me.

What are the seven bots and what does each one do?

Build them in this order. Steal all of it.

• Marlow, chief of staff. Before any task he checks whether another bot owns it and hands it off. The mission is one number: how often the brand gets cited on a fixed prompt set.
• Iris, the diagnostic. Runs the same 20 to 50 queries every two weeks, split into branded, unbranded, and comparison prompts. She logs raw counts, such as 47 of 120 queries this month, up from 31.
• Hollis, the crawl auditor. Checks robots.txt, CDN rules, and the web application firewall for GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, and Google-Extended, then reads server logs to confirm they fetch. A permissive robots.txt behind a blocking firewall was the most common silent failure I found.
• Vera, listing accuracy. Checks hours, addresses, phones, and categories on every surface weekly and flags drift. Inconsistency makes the model lose confidence.
• Ansel, the review engine. Drafts a reply to every review and queues it for me, writes the review request so customers name what they bought and what happened, and tracks platform spread beyond Google. He never sends.
• Quill, the crawlable proof bot. Builds one plain-HTML page with ratings and dated review excerpts, because Maps ratings load through JavaScript and AI crawlers mostly cannot see them. Quill also maintains the X versus Y and alternatives pages.
• Sable, the sentiment watch. Watches for new negative third-party threads and pings me within hours. Sable surfaces and drafts. Sable does not post.

Which bot would I build first?

Iris, then Hollis. Iris takes ten minutes and most brands have never run her once. A production data paper on arXiv tracking 102 brands found branded prompt recognition at 94.2% on ChatGPT and unbranded at 22.1%. Comparison prompts surface brands 74.6% of the time. You cannot build agents against a strategy you do not have. Iris is the baseline.

Hollis is boring and has the highest-return hour in the build. Cyrus Shepard's meta-analysis scored 23 factors across 54 studies, and the top factor was URL accessibility, not content or links. Hollis is told not to touch llms.txt. Ahrefs found 97% of llms.txt files across 137,000 sites got zero requests in a month. Never put one on an invoice.

What does it cost compared to AEO services?

Seven bots, $20 a month. The most upvoted pricing breakdown in the AI Search Lab subreddit puts content and technical AEO at $2,000 to $5,000 a month, genuine digital PR at $5,000 to $12,000, and real monitoring at $2,000 to $4,000. Firms I have worked at charge as much as $50,000 a month on retainer for this work.

Two honest caveats. Ansel and Sable never post, because manufactured mentions are the fastest way to lose the channel that still pays your bills. When Reddit sued Perplexity in October 2025, Perplexity's Reddit citation share dropped 86%. And none of this lifts you over 4.0 stars. Most of the data is local, all of it is correlation, and nearly every study is vendor funded. One bad quarter of customer experience drops you below the threshold, and no optimization brings you back. The customer pays your salary. The bots just point the work at them.