This is not a generic AI website audit. Bodark runs the purchase-intent questions your buyers ask through multiple leading AI models, runs 73 checks across seven measurement packs, records which businesses get cited, and scores coverage pack by pack. Every gap becomes a drafted fix for your approval, followed by implementation, another measurement, and scheduled reporting. A one-time baseline is $750. Ongoing work runs $750/month for the first three months, then $300/month once the foundation holds.
Fifteen minutes, no charge. We'll show you what your buyers are being told today.

Someone with money in hand still asks "who should I call for this?" They just ask an AI assistant now, and it hands back two or three names instead of ten blue links. If you're not one of them, you never enter the conversation — no impression, no click, no chance to compete on price or service. You don't lose the deal. You never hear about it.
That gap doesn't hold still. Every month a competitor is the name that comes back, they collect the citations, reviews, and mentions that teach the next model to name them again. The cost of closing the gap goes up the longer it stays open.
They are three different finish lines. Most businesses are still optimizing for the one their buyers use least.
| Discipline | What you're trying to win | Where it happens | How it's measured |
|---|---|---|---|
| SEO Search Engine Optimization | A ranked link on a results page | Google and Bing results | Position for a keyword |
| AEO Answer Engine Optimization | Being the source the answer quotes and links | AI overviews, answer engines, and conversational search | Citation rate across buyer questions |
| GEO Generative Engine Optimization | Being the business the answer recommends by name | Inside the generated answer itself | Share of answers that name you |
A rank-tracking report tells you none of this. You can sit at position four for a keyword and be absent from every AI answer that keyword produces — which is why the first thing we do is measure the answers, not the rankings.
A short report you can read over coffee, and a list of changes someone can make this week.
Not "your visibility is low." The actual question a buyer asked, the actual answer they got, and the actual businesses named in it. That list is usually the most uncomfortable and most useful page in the report.
Every finding arrives with the actual fix attached — the tag, the page copy, the structured data, the content brief. You approve what ships. Nothing changes on your site without a person saying yes.
The same fixed set of buyer questions runs every week, so week-over-week change means something. A moving ruler measures nothing, so we freeze the questions and recalibrate on a schedule instead of whenever the numbers look bad.
Models change, competitors publish, and a citation you earned in March can quietly disappear in June. You find out the week it happens instead of the quarter your phone stops ringing.
Anyone can paste a URL into an AI prompt and get a flattering checklist. Real measurement shows what passed, what failed, where coverage is missing, which competitors get cited, and what needs to happen next. Bodark preserves that evidence, repeats the test, and shows whether the approved work changed the answers those models return.
| A generic AI audit | Bodark Visibility Agent |
|---|---|
| One model reviews your website once | Multiple leading AI models answer the same purchase-intent questions on a schedule |
| Best-practice advice with no competitive evidence | The cited sources, brand mentions, and competitors in each answer are recorded |
| A score with an invisible or changing formula | A versioned 73-check methodology with seven separate diagnostic scores |
| A checklist that ends with recommendations | Drafted fixes, human approval, implementation, and a rerun that verifies the result |
| A PDF that starts aging the day it arrives | A living history with regression, citation, and competitor-change alerts |
The distinction is simple: an audit produces advice. The Visibility Agent produces a baseline, an evidence trail, approved work, and proof of what changed.
Two numbers, because being technically ready and actually being named are different problems. Both are scored 0–100.
| Score | What it measures | How it's earned | Weight |
|---|---|---|---|
| Technical | Whether your site can be read, understood, and quoted | 73 checks across seven diagnostic packs, weighted 1–3 by impact | 40% |
| Visibility | Whether AI engines actually name and cite you | A cited link earns full credit; an unlinked mention earns half | 60% |
| Overall | One number to watch month over month | 0.4 × technical + 0.6 × visibility | — |
Technical work is the means; being the answer is the end. That's why it carries less weight — a perfect technical score that never gets you named is a report, not a result.
Seventy-three checks, 156 weighted points, grouped into seven packs so a strong score in one area cannot hide a weak one somewhere else.
| Diagnostic pack | Checks | What failure costs you |
|---|---|---|
| Core SEO | 25 | Pages search engines cannot reach, understand, or rank |
| AEO / GEO | 14 | Facts an assistant cannot extract, quote, or connect to your business |
| E-E-A-T | 15 | Claims with too little experience, expertise, authority, or trust to repeat |
| Agent readability | 7 | AI agents unable to determine your offer, price, availability, or next step |
| Off-site discovery | 5 | Too little independent evidence beyond your own website to support a recommendation |
| Measurement | 4 | Missing analytics or conversion evidence that leaves results unprovable |
| Local presence | 3 | Engines unsure where you operate or which locations you serve |
Every question is asked across multiple leading AI models, and each model's result is reported separately so a strong channel cannot hide a weak one.
Your onboarding baseline runs all 55 buyer questions through every engine. Weekly benchmarking uses 12 fixed, high-value questions on every engine, and the full set runs again monthly. As new assistants earn real buyer traffic we add them to the set, and existing clients get the new coverage at no change in price.
Published prices. The service is designed to get cheaper as the foundation matures, not to keep billing for implementation capacity you've stopped using.
| Package | Price | Term | What's included |
|---|---|---|---|
| Visibility Baseline | $750 once | No recurring term | Onboarding, the 73-check diagnostic audit, a 55-question multi-model baseline, human review, and a prioritized roadmap. |
| Visibility Launch | $750/month | First three months | Everything in Baseline, plus weekly benchmarking, monthly recalibration, competitor analysis, reviewed reporting, and one approved optimization batch each month. |
| Visibility Watch site managed by Bodark | $300/month | Month to month after Launch | Weekly benchmark, monthly full sweep, regression and citation alerts, monthly report and review, quarterly recalibration, annual rebaseline. |
| Visibility Watch site managed elsewhere | $499/month | Month to month after Launch | The same monitoring scope, priced for coordinating fixes with your outside developer, agency, or CMS. |
At the end of month three the default is to step down to Watch. Launch continues at $750 only when both of us agree there's real implementation work left, and you can pause without penalty.
| Typical SEO retainer | Bodark AI Visibility | |
|---|---|---|
| What's measured | Keyword rankings and traffic | Whether AI answers name you, per engine |
| What arrives monthly | A dashboard export | A short report plus drafted, ready-to-approve fixes |
| Who does the work | Often offshore content production | An engineer with 27 years of production experience |
| Price over time | Flat or rising | Steps down from $750 to $300 by design |
| Contract | 6–12 month lock-in | Three months, then month to month |
The honest part
Our first baseline, on August 3, 2026, scored 63.2 technical and 0.0 visibility. Across 36 answers from three engines, not one named Bodark. Every answer named somebody — just never us. Two days of fixes took technical to 78.6, and the visibility number is the one we're still working, in public, on our own site.
We tell you this because it's what the first report usually looks like, and because a firm that only shows you its wins is showing you a brochure. What we won't promise is a ranking, a citation, or a lead count in 90 days. What we will promise is that you'll know exactly where you stand, what changed, and what to do next — every single week.
Answer engine optimization is the work of becoming the source an AI assistant quotes and links when it answers a buyer question. Traditional SEO competes for a position on a results page; AEO competes to be inside the answer itself, where the buyer usually sees two or three options instead of ten.
AEO is about being cited — the answer links your page as a source. GEO, generative engine optimization, is about being recommended by name inside the generated text, whether or not a link comes with it. Both matter, and a business can win one without the other, so we score them separately.
Technical fixes show up in the next weekly sweep. Being named in answers is slower, because it depends on what the engines find about you across the whole web, not just on your site. We do not promise a citation, a ranking, or a lead count inside 90 days. We promise you will know exactly where you stand every week and what to do next.
No. Every fix arrives as a draft with the actual change attached, and nothing goes live until a person approves it. If your site is managed by another developer or agency, we hand them work that is ready to paste, and price that coordination at $499 per month instead of $300.
Every package measures multiple leading AI models, with each model reported separately so a strong channel cannot hide a weak one. As new assistants earn real buyer traffic, we add them to the measured set and expand existing clients' coverage without changing the price.
No, and anyone selling it that way is guessing. Most of what makes a site quotable by an AI engine — crawlable pages, clear structure, real answers, credible mentions elsewhere — also makes it rank. The difference is what gets measured and what gets prioritized: we start from the answers your buyers are actually being given, then work backward to the fixes.
The one-time Visibility Baseline is $750 and includes the 73-check diagnostic audit, a 55-question multi-model measurement, human review, and a prioritized roadmap. Ongoing work is $750 per month for the first three months, then $300 per month for monitoring on a Bodark-managed site, or $499 per month on a site managed elsewhere.
Fifteen minutes on a call. We'll run a few of the questions your buyers actually ask and read you the answers, competitor names included.
Reviewed and updated August 9, 2026