GEO for brands is the work of getting your name into the answer when a buyer asks ChatGPT, Gemini, Perplexity, or Google AI what to buy and who to trust. That question is being asked in every category now, and the engines answer it the same way everywhere: they corroborate a brand across reviews, mentions, and answer-first pages before they recommend it. Bowen AI Strategy Group runs the measured version of this work, in production today for a Pennsylvania auto retailer: real buyer questions across 7 AI engines, scored out of 100, re-measured every month.
The Shift
Whatever you sell, some share of your buyers now starts with a question to an AI engine instead of a search results page. The engine answers with a short list of names. How it builds that list is knowable.
ChatGPT's local answers draw on Bing's web index. If your brand's presence in that index is thin or inconsistent, the most-used AI engine is assembling its answer without you.
Google's AI reads your Google profile and the wider web. What it finds there, or fails to find, becomes how it describes your brand to a buyer who asked for a recommendation.
Perplexity licenses data from review platforms, which turns your review footprint into direct source material. What customers wrote about you is being quoted to the next customer.
The common mechanic: AI engines corroborate a brand across the web before recommending it. One strong page is not enough, and neither is a big ad budget the engines cannot see. The brands that get named are the ones the engines can verify in several places at once.
The Work
The program shape does not change by category, because the engines do not change by category. What changes is the questions we measure and the platforms that matter for you.
We capture the real questions buyers ask in your category, run them across 7 AI engines, and score who gets named. That number is your baseline, and every month of work afterward answers to it.
For each question that matters, a page that answers it in the first lines. Engines quote pages that match the buyer's literal question. They skip brand poetry.
A steady flow of real reviews on the platforms the engines read and license, plus repair of the identity and listing inconsistencies that make a brand look unreliable to a machine built for corroboration.
Mentions and presence across the wider web the engines cross-check, then the loop that keeps everyone honest: the same questions re-run monthly, re-scored, and reported to you.
And the part we say out loud that many vendors will not: schema markup and llms.txt are table stakes, not the lever. We ship them because they are cheap and correct. The lever is the work above.
Proof
Bowen runs the full program right now for a family-run Pennsylvania auto dealership, one of the most competitive local categories there is. Live measurement of 10 real buyer questions across 7 AI engines scored out of 100, a 70+ page audit, an answer hub site, identity and listings repair, a monthly review-and-deals email engine, award-cycle entries, and a monthly re-measured score. We do not name clients on marketing pages, but the program on this page is the one in production.
If you want to see how the program looks fully built out in that vertical, the dealer page walks through every piece: GEO for car dealerships. Your category gets the same machinery pointed at your buyers' questions.
Pricing
Flat, published, and in this order on purpose: you should see the baseline before you commit to ongoing work.
Step 1 · One-Time
$1,500
The scored baseline: how the AI engines answer your category's real buyer questions today, who wins each answer, where your reviews and presence stand, and the fix plan. Yours to keep either way.
Step 2 · Monthly
$1,500/month flat
The ongoing work: query-matched answer-first pages, reputation and review work, off-page authority, and the same buyer questions re-measured across 7 engines every month with the score reported to you.
Common Questions
GEO, Generative Engine Optimization, for brands is the work of getting your name into the answer when a buyer asks an AI engine what to buy or who to trust in your category. Engines assemble those answers from the web they can verify: ChatGPT's local answers draw on Bing's web index, Google's AI draws on your Google profile and the wider web, and Perplexity licenses review platforms. AI engines corroborate a brand across reviews, mentions, and pages before recommending it. GEO is the practice of strengthening exactly those inputs, then measuring whether the engines started naming you.
The honest answer: the method is category-agnostic because the measurement defines the questions per category. We do not start with a generic playbook. We start by capturing the real questions your buyers ask, whatever your category, then run them across 7 AI engines and score who gets named. The fixes that follow, answer-first pages, review and reputation work, off-page authority, are the same levers everywhere because every engine corroborates before it recommends. What changes per category is the questions, the platforms that matter, and the competitors in the answer.
It is running now. Bowen runs the full GEO program today for a family-run Pennsylvania auto dealership: live measurement of 10 real buyer questions across 7 AI engines scored out of 100, a 70+ page audit, an answer hub site, identity and listings repair, a monthly review-and-deals email engine, award-cycle entries, and a monthly re-measured score. We do not name clients on marketing pages, but the program shape you read on this page is the one in production, not a concept.
Every engagement starts with a one-time GEO Audit + Roadmap at $1,500: the scored baseline of how the AI engines answer your category's buyer questions today, who wins each answer, and the fix plan. From there, the GEO Retainer is $1,500 per month flat for the ongoing pages, reputation work, off-page authority, and monthly re-measurement. Audit first, then the retainer. You see the baseline before you commit to anything ongoing.
Start with the $1,500 GEO Audit + Roadmap. You will see how ChatGPT, Gemini, Perplexity, and Google AI answer your category's buyer questions today, who gets named, and the plan to make it you. Then the score gets re-measured every month.
tyler@bowenaistrategygroup.com | (412) 841-5392 | Based in Canonsburg, PA, south of Pittsburgh, working with brands nationwide