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AI search visibility for vertical B2B software

We measure whether AI engines name you, publish how we measured it, and do not invoice month four if your named count has not improved.

Broadcastwell is a research led practice in AI search visibility for vertical B2B software. Every Broadcastwell Diagnostic asks 35 buyer questions of five AI engines, three times each, and prints the confidence interval on every number. The five engines are ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode, and every question and engine pair is run three times on schedule, so 525 scheduled observed answers with receipts, plus further runs on any pair whose verdicts disagreed. No question names any brand, so the figure cannot be flattered. The protocol, the questions and the scoring rules are published and versioned on our methodology page, alongside three research volumes with DOIs, open datasets, a public monthly index, and our own self audit, including the runs where we scored zero. We take deliberately few engagements, one person is accountable for each, and client data is returned in an open format within five business days if an engagement ends.

No call required. Findings within five business days.

Sample DiagnosticIllustrative data

Northvale FSM appears in 31 of 35 buyer questions. Kalvenor Systems appears in 21.

Question 7

Which software helps fire and life safety companies manage inspections and compliance work?

0 of 15Northvale FSM named
11 of 15Asterforge Kinetics named
Sample data. Northvale FSM, Kalvenor Systems and Asterforge Kinetics are fictional companies used to demonstrate the report. See the full sample

The public benchmark

The Absence Index is the public monthly record of which vendors AI engines name in each B2B software category, free to read at index.broadcastwell.com.

The Diagnostic tells a company why it is or is not on it. Get the Diagnostic, $1,500.

B2B categories measured
AI answers scored
citations traced

Measured, not guessed. Method and data published in The 2026 State of GEO.

The same shape, category after category.

Revenue intelligence: the leader named in 9 of 10 answers. A strong challenger: 0 of 10.

Site search: leader in 9 of 10. A challenger: 1 of 10, cited as a source 0 times.

PDF tools: the giant in 8 of 10. A 70-person European challenger: 1 of 10.

One brand appears in eight or nine of ten answers. Challengers appear less often in these measured examples. The free 10-question check puts ten buyer questions for your category to one engine, Perplexity, and returns your position on the absence ladder and the chapter of The Absence Manual that addresses it, in under a minute.

The Absence Index: who AI names, category by category, every month.

In the August 2026 release, the highest observed mention rate in CRM is Salesforce Sales Cloud, and in project management monday.com.

Salesforce Sales Cloud
66.7%, 78 of 117 answers; published 95% interval 57.7% to 74.6%.
monday.com
59.2%, 71 of 120 answers; published 95% interval 50.2% to 67.5%.

Observed answers on stated dates, not a ranking. The CRM denominator excludes failed calls.

Explore the Absence Index

We run the program. You see every number.

  1. Free

    Free 10-question check

    Ten buyer questions for your category, one engine, your position on the absence ladder and the Absence Manual chapter that addresses it, in under a minute.

  2. $1,500

    Get the Diagnostic, $1,500

    35 buyer questions across five engines, three scheduled runs, 525 scheduled observed answers with a confidence interval on every rate, written findings and a prioritised fix list. $1,500 once, credited in full against the program if the client starts the program.

    See pricing
  3. $4,500 / month

    Start the program

    Four answer pages a month, one schema and entity pass, third-party list and buyer guide placement, a monthly mentions and citations report, and a quarterly five-engine re-score of all 35 questions. $4,500 a month.

The first 90 days

  1. Baseline

    AI Visibility Diagnostic

    35 buyer questions, five engines and three scheduled runs. 525 scheduled observed answers, written findings and a prioritised fix list.
  2. Months 1, 2 and 3

    The same delivery each month

    Four answer pages. One schema and entity pass. Third-party placement work. A report on mentions, citations and sources. A standing client dashboard and one engagement owner.
  3. Day 90

    Quarterly re-score

    The same 35 agreed questions, five engines and the same documented protocol. If the named count has not improved versus baseline, we do not invoice month four. The full policy and its limits are stated below.

Every month, the program delivers four answer pages, one schema and entity pass, third-party placement work, and a report on brand mentions, citations and the sources engines use. A client dashboard is a standing deliverable, and one person owns the engagement. The same 35 questions are re-scored across five engines every quarter using the same documented protocol, with monthly leading indicators on the 10 core questions.

No question in the set names any brand: not the client's, not a competitor's. The 35 questions sit in four groups: 10 core category, 10 buyer role, 10 use case and problem, and 5 evaluation and pricing.

Client work

Engagement in progress · day-28 reading

Vantaa Tax

An early ≈12% reading, directional only, in tracked AI visibility.

Vantaa Tax
100 to 112
index at day 28

Single run at day 28, directional. Full re-score at day 90.

Vantaa Tax engaged Broadcastwell during a transition across its product, brand and buyer story. The first checkpoint focused on making that story clearer and more usable across the questions finance and tax buyers actually ask.

Fixed 10-question benchmark across four AI surfaces: index 100 → approximately 112 in 28 days. Early directional measurement only, not traffic, revenue, ranking or compliance performance.

Single-run checkpoint: 40 answers per run, baseline index 100, day 28 about 112. No interval is reported for this directional index change.

“We gave Broadcastwell a very difficult transition brief. In 28 days, our tracked AI visibility improved by approximately 12%, but the bigger benefit was the clarity they gave us. Their work was research-based, highly specific and genuinely useful.”

Katherine Jane · Founder · Chartered Accountant, Vantaa Tax
Read the Vantaa case study →
Engagement in progress · baseline Diagnostic complete

Neurvalis

AI automation · clarity before scale

Neurvalis AI Automation helps businesses reduce repetitive work, improve efficiency, and build scalable AI-enabled processes. The company engaged Broadcastwell for a $1,500 AI Visibility Diagnostic to establish a clear baseline and a practical direction for what comes next.

“We started with Broadcastwell's $1,500 diagnostic because I wanted an outside view of how Neurvalis was positioned and where we were actually weak. The diagnostic turned a broad problem into specific priorities. It gave us enough clarity to make the next investment confidently.”

Matthew Montes, Founder, Neurvalis AI Automation
Read the Neurvalis case study
Baseline AI Visibility Audit

Valren Atelier

Valren Atelier leather goods and craft imagery

Valren Atelier is an online-first leather goods brand. It engaged Broadcastwell for a baseline AI Visibility Audit and strategic guidance: understanding how AI search platforms see the brand, where its visibility is absent, and what evidence it needs to earn durable inclusion over time.

Excerpt from the client testimonial.

The AI Visibility Audit gave us a much clearer understanding of how AI search platforms viewed our brand and where we were losing visibility to competitors. The findings identified specific bottlenecks and opportunities that we would not have uncovered through traditional SEO reporting alone. Broadcastwell provided a practical framework for measuring and improving our AI visibility over time.

Anitha Kumar, Managing Director, Valren Atelier
Read the Valren case study

Who Broadcastwell is

Sairam Sivakumar, Founder of Broadcastwell

Broadcastwell is registered in Indiana and works as a distributed team of 12 across Bloomington, Chicago, San Francisco and New York: three management consultants, three AI solutions architects, two AI automation engineers, two operations managers, one designer and the founder.

Sairam Sivakumar

Founder

Sairam Sivakumar founded Broadcastwell and wrote its published research, including The 2026 State of GEO and the Absence Manual. He holds an MBA from the Kelley School of Business at Indiana University and works from Bloomington, Indiana.

The dashboard every client gets

Every client gets a live dashboard covering five engines and 35 buyer questions, re-scored on a quarterly cadence, with monthly leading indicators on the 10 core questions. Not a slide, not a summary. The whole thing, with every run kept so you can see what moved and what did not. The account below is a demonstration built on illustrative data.

Sample overview
Public fictional sample overview produced under method v1.0: Northvale FSM appears in 9 of 10 questions and Kalvenor Systems in 6

Sample data. Northvale FSM, Kalvenor Systems and Asterforge Kinetics are fictional companies used to demonstrate the report.

Question 7 detail
Question 7 in the fictional sample: 12 scored answers, no excluded answers, Northvale FSM named 0 times and Asterforge Kinetics 9 times

Sample data. Northvale FSM, Kalvenor Systems and Asterforge Kinetics are fictional companies used to demonstrate the report.

Sample data. Northvale FSM, Kalvenor Systems and Asterforge Kinetics are fictional companies used to demonstrate the report. Open the full sample

Free 10-question check

Start with your position, not a call

The mini-audit puts ten buyer questions for your category to one engine, Perplexity, and returns your position on the absence ladder: named in 0 of 10 answers, 1 to 3, 4 to 6, or 7 to 10. It links you to the chapter of The Absence Manual that addresses that position. It runs in the browser in under a minute and asks for an email address because the daily limit has to attach to something. We keep that address for 24 months and then delete it.

Free 10-question check

One result per address per day. No call, no card.

What you see

Ten real buyer questions. One clear next step.

  1. Your position across 10 answers
  2. A named absence-ladder level
  3. The relevant next chapter to read

Transparent pricing. Observable work. Stated limits.

The AI Visibility Diagnostic

$1,500

A full, decision-ready baseline and findings report: 35 category-defining buyer questions, five engines and three scheduled runs per question and engine pair. $1,500 once, credited in full against the program if the client starts the program.

Get the Diagnostic, $1,500

See a sample Diagnostic report

The program

$4,500 / month

Three-month minimum, then month-to-month. Client stories are optional. Reviews are optional, candid and never tied to a discount, payment or preferential treatment.

Get the Diagnostic, $1,500

The 90-day proof gate and refund policy

At day 90, we re-score the same 35 agreed buyer questions across the same five engines using the same documented protocol of three scheduled runs plus further runs where verdicts disagreed. If the named count has not improved versus baseline, we do not invoice month four and you can end the engagement there. You keep every run, answer, citation and source collected. The program has a 90 day initial term. Month one remains covered by the refund policy; months two and three are not refundable. The $1,500 AI Visibility Diagnostic and the first month of the program are refundable in full, no questions asked, at any time before month two is invoiced. This month-four billing promise is separate from the refund policy and does not guarantee inclusion, ranking, revenue or commercial result.

Read the terms

We do not promise revenue attribution. We report observed AI visibility separately from referral traffic, self-reported discovery, influenced opportunities, and pipeline correlation. Each has a different evidentiary standard.

What people ask before they start.

What is Generative Engine Optimization?

Generative Engine Optimization (GEO) is the practice of making a company and its evidence easier for AI search systems to retrieve, understand, and use when answering relevant buyer questions. Broadcastwell measures whether a company is mentioned, recommended, positioned, and cited as separate outcomes; traffic and commercial impact are measured separately.

Is this just SEO under a new name?

SEO earns clicks by ranking links. GEO earns mentions inside the answer itself. Search engines return ten links a user chooses between. AI engines return a short synthesized answer that names a few companies and stops. GEO optimizes for being one of those named companies, which depends on structured answers, entity clarity, and third-party sources, not just keywords and backlinks. We map the entities and category language that identify a company; strengthen public brand mentions and independent third-party validation across sources AI systems can retrieve and cite; and then check observed answers. We do not claim access to or control over model training data.

How long does GEO take to work?

There is no fixed timetable by engine. Movement depends on crawlability and indexing, the sources each system retrieves, category authority, implementation speed, question wording, and normal run-to-run variance. We establish a dated baseline, document the changes made, and use repeated measurement to distinguish directional movement from a one-off answer.

How do you measure AI search visibility?

We classify each observed answer separately: brand mentioned, brand recommended, recommendation position, supporting citation present, cited source, and relevant competitor named. The AI Visibility Diagnostic records 525 scheduled observations: 35 buyer questions across five engines with three scheduled runs per question and engine pair, plus further runs on any pair whose verdicts disagreed. Every rate is published with its numerator, its denominator and a 95 percent confidence interval. Visibility metrics are reported separately from referral traffic, self-reported discovery, and pipeline correlation.

What happens if it does not work?

At day 90, we re-score the same 35 agreed buyer questions across the same five engines using the same documented protocol of three scheduled runs plus further runs where verdicts disagreed. If the named count has not improved versus baseline, we do not invoice month four and you can end the engagement there. You keep every run, answer, citation and source collected. The program has a 90 day initial term. Month one remains covered by the refund policy; months two and three are not refundable. The $1,500 AI Visibility Diagnostic and the first month of the program are refundable in full, no questions asked, at any time before month two is invoiced. This month-four billing promise is separate from the refund policy and does not guarantee inclusion, ranking, revenue or commercial result.

What does Broadcastwell cost?

The mini-audit is free. The AI Visibility Diagnostic is $1,500 once, credited in full against the program if the client starts the program. The program is $4,500 a month with a 90 day initial term. Client stories are published only with explicit approval. Reviews are optional, candid and never tied to a discount, payment or preferential treatment.

Let us show you what AI says about you.

Get the Diagnostic, $1,500: 35 category-defining buyer questions, five engines, three scheduled runs per question and engine pair, 525 scheduled observed AI answers, and a decision-ready findings report, $1,500 once, credited in full against the program if the client starts the program, and we confirm scope, timing and payment by email before work begins.

Broadcastwell

Where the data lives

Published research, methods and data are linked below, with the limitations stated on each research page.

Published open access under CC BY 4.0. Not peer reviewed.