We audit how AI assistants currently describe your brand, then fix the crawl access, schema, entity signals, and content they need to cite you. Priced as fixed work blocks, not retainers, and proven on our own site first.
~670
Visits to evolveamz.com from AI assistants in 12 months
GA4, Sep 2025 to Sep 2026
65 → 412
Our monthly organic sessions, winter 2025 to summer 2026
GA4, Google + Bing
48%
AI-assistant visitors engaged, vs 21% sitewide
GA4, last 30 days
$100/hr
Flat rate, fixed hour blocks, 100% upfront
No retainers, no lock-in
When someone asks ChatGPT for the best magnesium supplement or asks Perplexity which Amazon agency to hire, the answer is a short list. Either your brand is on it or a competitor's is.
Cloudflare bot settings, a hosting firewall, or a copied robots.txt can block GPTBot, ClaudeBot, and PerplexityBot without anyone noticing. If they cannot read the page, they cannot cite it. See the 2026 AI crawler list.
No Organization schema, inconsistent names across directories, no Wikidata entry, and a homepage that never says what you sell in plain words. The model fills the gap with a guess, or with a competitor.
Assistants quote pages that answer a specific question in the first screen, with a number, a definition, or a comparison. Most brand sites are built for browsing, not for being quoted.
GA4 files most AI referrals under Referral or (not set). On our own site the AI channel showed 409 sessions when the real total was about 670. Nobody invests in a channel they cannot measure.
Every engagement runs the same sequence, because each layer only works once the one before it is in place.
We run 50 buying-intent prompts across ChatGPT, Claude, Gemini, and Perplexity, record every mention and citation, and check crawler access, robots.txt, llms.txt, and schema. You get a report with a ranked fix list. The method is public in our AI visibility audit guide.
Cloudflare and firewall rules that let the right bots through and stop scrapers, a correct robots.txt, an llms.txt and llms-full.txt, and a schema stack (Organization, Product, FAQPage, Article, BreadcrumbList) that validates. See the schema implementation guide.
One consistent brand name, description, founding date, and sameAs links across your site, Google Business Profile, LinkedIn, Wikidata, and the directories assistants read. Assistants recommend entities they can identify.
Service pages and long-form guides with a quick answer in the first screen, stat bars, FAQ sections with FAQPage schema, and comparisons that name real alternatives. This is the same format that earns our own citations. Start with How to Rank on ChatGPT.
A GA4 channel group that catches AI referrals hiding in Referral and (not set), a monthly citation check on your priority prompts, and a Looker Studio view so you can see whether it is working. Tools compared in our AI visibility tracking tools roundup.
These are our GA4 numbers, pulled September 15, 2026. We publish them with the caveats, because the caveats are the part most agencies leave out.
Google and Bing organic averaged roughly 65 sessions a month from October 2025 through March 2026. After the rebuild and the guide library, it averaged 412 a month from June through August 2026, peaking at 497 in July. The last 30 days were 383, up 385% on the same 30 days in 2025.
ChatGPT about 316, Claude about 173, Gemini about 103, Perplexity about 51, plus smaller sources. GA4's own AI Assistant channel only labeled 409 of them; the rest were filed under Referral or (not set), which is exactly the tracking gap in layer 5 above.
In the last 30 days the AI channel had 126 sessions with a 48% engagement rate and 48 seconds of average engagement, against 21% and 7 seconds sitewide. AI was the only sizable channel still growing month over month, up 15%.
Our lead tracking was broken for this period (legacy key events from the old site), so we cannot say AI visitors convert to booked calls at a higher rate. About half of our raw traffic was bots, which is why we quote organic and AI sessions, not totals. Results on your site depend on your category, your competition, and how much of the fix list you actually ship.
Every package is a defined block of hours with a defined deliverable list. Payment is 100% upfront, typical timeline is 3 to 5 weeks, and there is no monthly contract. Hours are tracked and summarized at the end.
$495
5 HOURS
$995
10 HOURS
$1,995
20 HOURS
$3,995
40 HOURS
Assistants lean heavily on pages that already rank and on sources that already trust you. If your site has no organic traffic and no reviews, AI search work is building the roof before the walls. Start with the basics; the What Is AI Search Optimization? guide explains the overlap.
The audit method, the schema stack, the llms.txt format, and the crawler settings are all documented on this site for free. A competent in-house marketer can run Foundation-level work in a few weeks. We compared the math in in-house vs agency cost breakdown.
Nobody can promise a citation. Assistant answers change week to week, and the models weight sources differently. We show a before-and-after on your prompts and report what moved. If a vendor promises "page one on ChatGPT," ask how they plan to enforce that.
Assistants recommend brands with a clear category, a clear differentiator, and enough content to describe them. If that does not exist yet, the money is better spent on the product page, photography, and reviews first.
Free · 30 minutes · No pitch deck
Book a free 30-minute call. We will run a handful of prompts live and show you where you stand before you spend a dollar.