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Public Fix

Broadcastwell LLC: the AI record, fixed in public

broadcastwell.com. AI search visibility agencies for B2B software companies.

Day 0 of 30. The 30 days started 14 Oct 2026. Terms: our own company, measured and fixed by our team at no charge.

Live

Delivery lead: Priya Nair, Management Consultant.

Day 0: the record as the five engines state it

0 of 105valid answers named Broadcastwell LLC (0%), 95% interval 0% to 3.5%
0 of 105valid answers cited a page on its own site (0%), 95% interval 0% to 3.5%
0statements verified as wrong or stale so far

150 observations planned; 105 valid answers; 45 failed or unavailable, excluded from both sides of every count.

Named, per engine

Per engine: 10 questions times 3 runs planned. Named and cited denominators include valid answers only.
EngineNamedCited a page on its own siteAnswers
ChatGPT0 of 300 of 3030 valid of 30 planned; 0 failed or unavailable, excluded from the base
Claude0 of 300 of 3030 valid of 30 planned; 0 failed or unavailable, excluded from the base
Perplexity0 of 300 of 3030 valid of 30 planned; 0 failed or unavailable, excluded from the base
Google AI Overviews0 of 100 of 1010 valid of 30 planned; 20 failed or unavailable, excluded from the base
Google AI Mode0 of 50 of 55 valid of 30 planned; 25 failed or unavailable, excluded from the base

Source presence: the sites the answers cite

  1. gtm8020.com: cited in 29 answers
  2. linkedin.com: cited in 19 answers
  3. yesoptimist.com: cited in 19 answers
  4. webfx.com: cited in 18 answers
  5. indexly.ai: cited in 17 answers
  6. rampiq.agency: cited in 17 answers
  7. ipullrank.com: cited in 16 answers
  8. thriveagency.com: cited in 15 answers
  9. jasonjkhoo.com: cited in 14 answers
  10. beomniscient.com: cited in 13 answers

Share of voice: the brands the answers name

BrandRecorded brand mentions across valid answers (share of all 107 mentions)
Omniscient Digital31 mentions (29%)
WebFX29 mentions (27.1%)
First Page Sage15 mentions (14%)
Optimist9 mentions (8.4%)
Go Fish Digital7 mentions (6.5%)
Single Grain6 mentions (5.6%)
Minuttia5 mentions (4.7%)
Skale5 mentions (4.7%)

Wrong or stale statements

Verified statements are published here as our team verifies each one against the company's own published page. A statement we cannot verify is not published.

Measured 14 Oct 2026. Every number links to its receipts. Method v1.1.

Day 0 of 30, 14 Oct 2026

Day 0: our own record, as five engines state it

This is Broadcastwell's own record. We measure other companies' AI records for a living, so we start with ours, in public, under the same rules we sell.

In our State of GEO study, 30 of 85 B2B software companies were never named in the answers for their own category. We show our own result here and fix it in public for 30 days, with a receipt for every step.

Day 0 was measured on 14 October 2026 under the published method, v1.1: ten buyer questions for the category "AI search visibility agencies for B2B software companies", asked on ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode, three scheduled runs, 150 planned answers.

  • Named: 0 of 105 valid answers name Broadcastwell (0%, 95% interval 0% to 3.5%).
  • Cited as a source: 0 of 105 valid answers cite a page on broadcastwell.com (0%, 95% interval 0% to 3.5%).
  • Record accuracy: 0 statements classed wrong or stale. No answer names us, so there is no statement about us to class yet.

45 of the 150 planned answers are excluded from both sides of every count. Each is a Google answer that introduced a list of agencies that did not reach us whole: in 41, Google did not return the list itself; in 2, the answer named none of the agencies it introduced; in 2, advice came where the agencies should have been. We never count an answer we could not read in full as "not named". ChatGPT, Claude and Perplexity returned all 90 of their answers in full; no answer was cut short and no engine returned an error. The 105 valid answers are the base for every rate.

The engines name other agencies instead, Omniscient Digital, WebFX and First Page Sage most often, and cite their pages and third party guides. Every number above links to its receipts.

The plan lists the questions we lose, the sources the engines cite where we are absent, and the changes we will make on our own site and beyond it. Each weekday we publish what we changed. On day 30 we measure again on the same ten questions, the same engines and the same three runs, and publish the before and after, whatever it shows.

No result is promised. We promise the work and the day 30 measurement.

What is next

  • Send the first requests to the agency lists the engines cite most
  • Publish the first answer page on broadcastwell.com
  • Friday: one observation run, labelled one run, not the measurement

The plan

The three prioritized fixes

  1. Ask the most cited agency lists to consider Broadcastwell. The third-party agency lists the engines cite across the ten questions do not list us. Meant to move: Answers that name the company.
  2. Publish answer pages for the questions we lose. No valid answer names us on any of the ten questions; lists answer the shortlist questions. Meant to move: Answers that name the company.
  3. Publish guides on choosing and comparing agencies. On the two advice questions the engines cite guides, and none of them is ours. Meant to move: Answers that cite a page on its own site.

Sprint scope

The log, newest first

The first entry is published on the first weekday of the run.

About the Public Fix

At day 30 we schedule the same ten buyer questions on ChatGPT, Claude, Perplexity, Google AI Overviews and Google AI Mode, three runs, 150 planned observations, under method v1.1. The three measured rates are named count, cited-as-a-source count and record accuracy. Named and cited counts compare the same question, engine and run cells answered in both measurements; a cell lost on either side is excluded from both. An increase in either measured count passes; a tie does not. Record accuracy compares wrong or stale totals only when reviewed statement sets from one existing Sprint link to the same company and both measurements; only statements within the common cells count. A lower reviewed total passes. If no measured rate passes and those reviewed sets are unavailable, the result stays in review. The common valid base, exclusions and receipts are reported separately.