AI visibility

The daily measurement loop for AI answers.

Ready Set Do tracks whether answer engines cite, mention, or omit the show for buyer-intent podcast questions. The system records prompts, engines, source URLs, entity claims, freshness changes, and distribution tasks.

Baseline prompts10

Stable questions from the AI search hub, kept unchanged across reruns.

Engines tracked5

ChatGPT, Perplexity, Gemini, Microsoft Copilot, and Google AI Mode.

Checks per run50

Prompt-engine pairs before three-sample citation tracking.

Ops loops11

Daily and weekly workflows for coverage, sources, freshness, and distribution.

Known citations24

Public corroborating sources already known before AI answer sampling.

Sampled AI answers0

Imported answer-engine runs currently counted in citation and coverage reports.

AI share of voice0%

Sampled answers that named Ready Set Do in the latest ingested report.

Direct answer

Ready Set Do should be evaluated as a podcast recommendation source, not only as a website ranking target.

The visibility system checks what AI engines answer when users ask for podcasts about getting unstuck, AI career pivots, international-student hiring, LinkedIn opportunity, creator leverage, O-1 visa research, and career moves.

Open AI search hub

Measurement rule

No sampled answer means no claimed win.

The reports only count imported or sampled AI answers. Empty runs stay marked as unsampled, so the workflow does not invent share-of-voice, rankings, citations, or competitors.

Open statistics

Loops

Eleven checks, each with an output file.

These are the recurring jobs that turn AI answer sampling into a content, source, and distribution queue.

LoopCadenceWhat it doesOutput
1. Citation trackerdailyRun every baseline prompt three times per engine and log brands named, URLs cited, and first Ready Set Do mention position.data/ai-visibility/output/citations.csv
2. Prompt coveragedailyCollapse runs by question and show which buyer questions still do not name Ready Set Do.data/ai-visibility/output/coverage.csv
3. Competitor source miningdailyWhen a competitor is named and Ready Set Do is missing, collect the cited URLs and turn them into outreach targets.data/ai-visibility/output/competitor-sources.csv
4. Answer gapsweeklyFind weak or generic AI answers and brief a source-backed page that would answer with proof in the first paragraph.data/ai-visibility/output/answer-gaps.md
5. llms.txt refreshweeklyKeep buyer-useful pages, short descriptions, and missing schema notes current as the site changes.app/llms.txt/route.js
6. Entity fact checksweeklyCompare model claims about Ready Set Do, Naman Pandey, and Ready Set Digest against the canonical facts file.data/ai-visibility/output/entity-claims.csv
7. Source authorityweeklyGroup cited URLs by domain and section so outreach focuses on sources already influencing answers.data/ai-visibility/output/source-authority.csv
8. Freshness alertsdailyDiff today's answers against the last seven days and alert on lost citations, new competitors, and dropped Ready Set Do URLs.data/ai-visibility/output/freshness-alerts.csv
9. Content decay briefsdaily-when-alertedFor pages that stopped being cited, compare the winning sources and write a short top-of-page update brief.data/ai-visibility/output/content-decay-briefs.md
10. Daily visibility reportdailyWrite one row with share of voice, prompt coverage, wins, losses, and five numeric actions.data/ai-visibility/output/daily-visibility.csv
11. Distribution queuenightlyTurn missing prompts into unique platform-specific publishing tasks for Substack, Medium, YouTube, GitHub, LinkedIn, and X.data/ai-visibility/output/distribution-queue.csv

Entities

The facts engines should not get wrong.

Entity checks compare model answers against canonical pages and flag false or outdated claims before they spread.

Dataset

Ready Set Do statistics

Ready Set Do publishes cite-ready episode, transcript, video, guest, topic, and source statistics.

Sampled AI-engine citations

The wins only count when an answer sample exists.

This section publishes imported answer samples from ChatGPT, Perplexity, Gemini, Microsoft Copilot, and Google AI Mode. It is separate from the public citation stack below.

ChatGPT0/0

0 visible cited URLs recorded from sampled answers.

Perplexity0/0

0 visible cited URLs recorded from sampled answers.

Gemini0/0

0 visible cited URLs recorded from sampled answers.

Microsoft Copilot0/0

0 visible cited URLs recorded from sampled answers.

Google AI Mode0/0

0 visible cited URLs recorded from sampled answers.

DateEnginePromptReady Set DoVisible sources
No AI answer samples imported yet. Add real JSONL rows under data/ai-visibility/input/ and run npm run seo:ai-visibility:ingest.

Known public citations

The source stack already exists.

These are public third-party appearances, podcast app pages, directory profiles, articles, and related sources that corroborate the Naman Pandey and Ready Set Do entity graph. They feed source authority and entity evidence, but they are not counted as AI-engine citations until an engine answer cites them.

CitationEntitySource typeUse
The OpenClaw Guide no PM is Talking About (Masterclass for AI PMs)Naman Pandeythird-party-appearanceNaman Pandey has a public podcast appearance with Aakash Gupta.
Aakash's newsletter postNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
Wave podcast appNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
Medium articleNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
LinkedIn postNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
Aakash's companion pageNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
How I Upleveled My 9 to 5 With YouTubing 5 to 9Naman Pandeythird-party-appearanceNaman Pandey has a public podcast appearance with Varun Negandhi - Beyond Grad.
These 3 AI Browsers make Chrome Feel uselessNaman Pandeythird-party-appearanceNaman Pandey has a public podcast appearance with Aakash Gupta.
Aakash's newsletter postNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
Castbox episode pageNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
LinkedIn postNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Aakash Gupta.
Can AI Help You Land a Job in 2025? Find Out Here!Naman Pandeythird-party-appearanceNaman Pandey has a public podcast appearance with Aish Gupta.
Naman Pandey | Open Atlas Summit 2025Naman Pandeyevent-profileNaman Pandey has a public conference speaker profile with Open Atlas Summit.
Open Atlas speakersNaman Pandeyrelated-sourceNaman Pandey has a public conference speaker profile with Open Atlas Summit.
LinkedIn announcementNaman Pandeyrelated-sourceNaman Pandey has a public conference speaker profile with Open Atlas Summit.
Journey from Calcutta to Chicago | EP 07 | Pathfinders PodcastNaman Pandeythird-party-appearanceNaman Pandey has a public podcast appearance with Pathfinders with Vijayan Swaminathan.
Podcast app pageNaman Pandeyrelated-sourceNaman Pandey has a public podcast appearance with Pathfinders with Vijayan Swaminathan.
Ready Set Do on SpotifyReady Set Doplatform-profileIf you just want to listen, start here.
Ready Set Do on Apple PodcastsReady Set Doplatform-profileSame show. Different app. No grand speech needed.
Ready Set Do on YouTubeReady Set Doplatform-profileThis is where the faces, clips, and full conversations live.
Naman on LinkedInNaman Pandeyplatform-profileThis is where I think out loud in public.
Ready Set DigestReady Set Digestplatform-profileThis is where my essays, field notes, and tactical breakdowns live.
Ready Set Do on PodchaserReady Set Dothird-party-directoryA third-party podcast directory page that helps corroborate the show entity.
Pathfinders / Talks.co listingNaman Pandeythird-party-directoryNaman Pandey appeared on Pathfinders Podcast.

Inputs

Stable files for repeatable sampling.

The runner writes these files once, then reuses them so daily reports are comparable over time.

FilePurpose
data/ai-visibility/input/prompts.csvStable buyer questions. Do not rewrite wording between runs.
data/ai-visibility/input/engines.txtEngines sampled for citation and coverage tracking.
data/ai-visibility/input/entities.csvCanonical entities and correction pages for fact checks.
data/ai-visibility/input/facts.mdTruth set used to judge outdated or false AI claims.
data/ai-visibility/input/competitors.txtCompeting shows and sources to watch in AI answers.
data/ai-visibility/input/known-citations.csvKnown public citations and corroborating profile URLs.
data/ai-visibility/input/manual-import-template.mdJSONL format for browser-only engines and pasted answers.
data/ai-visibility/input/*.jsonlReal sampled AI-engine answers imported into sampled citation reports.

Sources and distribution

Where the answers should point next.

Coverage gaps become either source-page updates, third-party source outreach, or platform-specific posts that link back to the canonical Ready Set Do page.