Are you actually getting considered for the business you want?
When a buyer asks ChatGPT, Perplexity, Google or Copilot who to shortlist, your company is either part of that decision or it isn't.
The Algorithmic Authority Audit shows where you're getting recommended, where competitors take your place, why you're being left out, and what to fix first.
Three weeks. $4,500.
Request Your AuditWritten report · prioritized fixes · two calls · 90-day re-run by Maria
The buying decision now happens before the website visit.
A buyer asks an AI assistant who to consider.
It names five companies. Your competitor is on the list. You're not.
Nothing shows up in GA4. No lost click, no abandoned form, no ranking drop to diagnose. Your company never entered the consideration set, and no report in your building recorded it.
That is the decision this Audit measures.
We tested four industries. Most vendors never made the list.
In every B2B category I've tested, established companies are left out of AI-generated shortlists, often without knowing it. Wave 2 asked the shortlist question across cybersecurity, industrial B2B, healthcare and B2B fintech: up to 120 vendors per industry, three AI platforms. Read the full Index findings →
AI visibility and getting considered are different things.
Visibility tools tell you how often your company appears. The Audit asks a harder question: when your buyers ask who they should consider, are you one of the answers?
Share of Model is the percentage of AI answers to your buyers' questions that name your company. That one number covers three very different outcomes.
Most visibility tools blend all three into one score. The Audit reports each one separately, platform by platform.
What you'll know in three weeks
The answers to the three questions your CEO asks next. Where aren't we? Why aren't we? What do we fix first?
Seven questions. One of them is breaking first.
Every shortlist miss traces back to one of these. The Audit tests all seven and tells you which one breaks first. Underneath them sits the Algorithmic Authority Stack™, the seven-layer diagnostic behind the Audit. Each layer has a published guide.
You don't get another audit your team has to decipher.
Every finding arrives with its fix, in the same five parts:
Four descriptions of one company
Your homepage, LinkedIn, G2 and Crunchbase describe four different businesses. The fix replaces all four with one description, written out word for word.
Owner: marketing · checked at the 90-day re-runA firewall rule nobody meant to set
Your security settings block one AI platform's crawler. The fix gives the exact rule to change for your setup.
Owner: IT · checked within weeksThe answer is in paragraph four
The page AI should cite for your category buries its answer under setup. The fix supplies the rewrite and where it goes.
Owner: content · checked at the 90-day re-run- Written report. 30 to 45 pages, ending in the sequenced fix plan.
- Implementation Kit. Every fix specified to the page, with an owner and a success check.
- Share of Model baseline. Mentioned, cited and recommended share across four AI platforms, with the competitors who take your slot.
- Two calls. Kickoff in week 1 to agree the buyer decisions that matter most. Findings walkthrough in week 3.
- 90-day re-run, run by Maria. The same buyer questions, the same platforms, before and after.
- Optional dashboard. Password-protected, with your re-run results added at day 90.
The same diagnostic is available for founders whose personal authority drives the buying decision. The Kit is built around your profiles, bios and content instead of company surfaces. Same price. Choose it at intake.
Tools count appearances. The Audit reads the decision.
I ran four AI visibility tools against my own site in the same week in 2026. The scores ranged from zero to 41 percent. Same site, same week.
A score blends every question, every platform and every outcome into one number. The Audit keeps them apart: your buyers' questions, each platform read separately, repeated runs, and every answer sorted into mentioned, cited or recommended.
Then I read the pattern against 50+ B2B companies audited and the Algorithmic Authority Index. That reading produces the fix order. The fix order is the part a score can't give you.
Every finding carries a confidence grade: observed directly, confirmed against the Index, or flagged for deeper diagnosis.
Having the proof doesn't put you on the list.
Asked what the company does, ChatGPT described it accurately, in the company's own words.
Asked who a buyer should evaluate to add autonomy to their machines, it left the company out. Zero of ten runs, over two days.
The system could describe them. It would not recommend them.
The firm told the market it was a leader, with the credentials to back it.
On its own category question, ChatGPT ranked it fifth of six and described it as an alternative.
The credentials existed. The buyer's AI wasn't carrying them through.
A KLAS-rated vendor, asked about on its own category's shortlist question. Named in 0 of 4 runs, on both platforms, under either of its two brand names.
Two competitors with the same rating: 4 of 4.
The rating was real. The split identity kept it off the list.
$4,500. Three weeks.
A full diagnosis across all seven layers, built from your internal data and external AI answers. Includes the Implementation Kit.
What is included
- 30 to 45 page written report with the sequenced fix plan
- Implementation Kit, every fix specified to the page
- Share of Model baseline across four AI platforms
- Two strategic calls (Kickoff + Findings Walkthrough)
- 90-day re-run, run by Maria
- Optional Interactive Dashboard (password-protected)
- Free follow-up diagnostic if recommended share on the agreed buyer questions hasn't improved at 90 days
The 90-day commitment, in writing.
At kickoff we agree the buyer questions that matter commercially. At day 90 I re-read them on the same platforms.
If your team shipped the first-priority fixes in the Sequenced Fix Plan and your recommended share on those agreed questions has not improved, I run a follow-up diagnostic at no additional cost to find what was missed.
AI platforms incorporate changes on their own cadence. The diagnosis is what I control.
A 15-minute call to confirm scope and start date. 3 Audits per month.
Start with the Snapshot.
$497. 48 hours.
The AI Visibility Snapshot reads your external surfaces and names the layer breaking first. A 6 to 8 page written diagnostic. Optional 20-minute review call. No internal data access required.
If you upgrade to the full Audit within 30 days, the full $497 applies as credit.
Run the Snapshot · $49748-hour written delivery. Credits toward the Audit. No call required.
Direct answers. No marketing softening.
Why isn't my company showing up in ChatGPT recommendations?
A recommendation needs more than a findable website. The platform has to know what category you belong in, connect your expertise to your name, find a passage it can lift, encounter you on the sources it searches, and see someone outside your company backing you up. A break at any of those points drops you from the shortlist while your Google rankings hold steady. The most common first break is identity: your homepage, LinkedIn, directories and press describe you differently, so the platform can't place you in the category your buyer is asking about.
How do I know whether AI is recommending my competitors instead of us?
One screenshot won't tell you. AI answers vary from run to run, so a single result proves nothing either way. A reliable read needs the questions your buyers ask when they build a shortlist, asked repeatedly, on each platform separately, with every answer sorted into mentioned, cited or recommended. That reading is the first thing the Audit delivers: which buyer decisions you're in, which you're missing, and who takes your slot when you're absent.
What is an AI visibility audit?
An AI visibility audit checks how AI platforms such as ChatGPT, Perplexity, Google AI Overviews and Copilot describe and recommend a company when buyers research a purchase. Many stop at a visibility score. The Algorithmic Authority Audit measures whether you're recommended on the buyer questions that drive revenue, names the competitors who take your place, diagnoses which of seven layers causes the miss, and delivers a prioritized fix plan. Three weeks, $4,500.
What's the difference between being cited and being recommended by AI?
Cited means the AI points to your page as a source of evidence. Recommended means it puts your company on the list of who a buyer should consider. AI can cite your content while recommending your competitors. A company can be mentioned constantly, cited often, and still never make the shortlist. Recommended share on your buyers' questions is the number that tracks consideration, and it's the number the Audit's 90-day guarantee is measured on.
How do you measure whether AI visibility is affecting pipeline?
Analytics tools can't see it directly. When a buyer gets a shortlist from ChatGPT and never visits your site, GA4 records nothing. The Audit measures the step before the click: recommended share on the buyer questions tied to your highest-value deals, set as a baseline and re-read at 90 days. Your team lines that up against what it already tracks: win/loss notes, how-did-you-hear-about-us answers, and deal velocity in those segments.
Why $4,500 when I can hire a fractional CMO for the same money?
You can. A fractional CMO is the right partner for ongoing marketing execution across all channels. The Audit is the diagnostic that tells them what to execute on AI visibility specifically. The two run together. Many of the AAPN partners I work with are fractional CMOs who use the Audit to inform the work they do for their clients.
Is the Audit just an SEO audit dressed up in AI language?
No. SEO audits look at how Google ranks pages. The Audit looks at whether AI platforms recommend your company when buyers ask who to consider. SEO fundamentals correlate with AI visibility. Keyword and link-building tactics do not. You can have a perfect SEO audit and still be left off the shortlist.
What if your Audit findings are wrong?
The 90-day re-run is the accuracy check. If your team ships the first-priority fixes and your recommended share on the buyer questions we agreed at kickoff hasn't improved at 90 days, I run a follow-up diagnostic at no additional cost to identify what was missed. Every finding also carries a confidence grade, so you know up front where my confidence is high and where more data would sharpen the diagnosis.
Three weeks is too long. Can you do it faster?
Three weeks is the right length for genuine depth. Rush turnaround is available at +50% ($6,750 for 10 business days). Beyond that, the diagnosis loses the depth that justifies the price.
Do I need to buy the Snapshot first?
No. You can buy the Audit directly. The Snapshot is the entry-level diagnostic for buyers who want to confirm they have a problem before committing $4,500. If you bought the Snapshot first, the fee applies as full credit toward the Audit within 30 days.
I have an in-house SEO team. Can't they do this?
If they have the Algorithmic Authority Stack methodology, the Index pattern library, and diagnostic experience across 50+ B2B companies, yes. Most in-house teams have none of these. The Audit produces the diagnosis. Your SEO team executes the fixes from the Implementation Kit. That is the right division of labor.
What does the Implementation upgrade actually include?
Implementation runs at $4,000 per month across a 90-day initial term ($12,000), then continues month to month with 30 days notice to stop. Maria works directly with your team: a weekly working session, fixes shipped together, and a monthly Share of Model readout on the same buyer questions and platforms. Baseline scope: schema deployment, identity reconciliation across your surfaces, top 5 content retrofits (or profile rewrites and content for founder-led businesses), and crawler access verification. Modules attach to any month for expanded scope.
Why not just use a visibility tool?
A tool points you toward where to look. It can't tell you what's broken or what to fix first. I ran four tools against my own site in the same week in 2026 and got scores from zero to 41 percent. Tools count appearances. The Audit reads whether you get recommended on the buyer questions that pay, names the layer causing the miss, and puts the repairs in order.
Find out which deals
you're missing.
Where you're recommended, who takes your place, why, and what to fix first. Three weeks, with a 90-day re-run by Maria and a free follow-up if your recommended share doesn't move.
Request Your Audit