Analyze AI - AI Search Analytics Platform
Sheets

Run AI agents at scale across any marketing workflow

Turn URLs, companies, keywords, competitors, articles, leads, prompts, and content ideas into live operating tables where every row can be researched, enriched, scored, summarized, drafted, routed, or exported by agents.

Open Sheets
Prompts table248 rows · enriched
Filter+ Column
PromptVis %CitesIntentTop comp.Match pageOwnerStatus
best CRM for SaaS startups
12%
24HIGHSalesforceNew
salesforce alternatives 2026
8%
18HIGHHubSpot/vs/salesf.Doing
AI CRM comparison guide
6%
31HIGHHubSpotNew
CRM pricing benchmarks 2026
22%
12MEDPipedrive/pricingDoing
enterprise CRM onboarding
14%
8MEDSalesforce/onboardNew
CRM migration playbook
4%
21MEDHubSpotDone
3 rows selected
Generate brief▶ Run agent
Views
All prompts248
Prompt gaps42
Competitor cited31
Rows enriched
248 / 248
CUSTOMERS

These are some of our customers

Kylian
Nebor
Fuel50

Turn repeatable agent work into a scalable operating table

Some workflows are not one-off. You do not want to research one company, audit one page, classify one keyword, or generate one brief. You want to run the same high-quality process across hundreds of inputs. Sheets gives your team the table layer for doing that.

🔗URLs🏢Companies🔑KeywordsCompetitors📰Articles👤Leads↑ CSV
URLTypeSessionsStatus
/blog/crm-guideblog1,240imported
/vs/salesforcelanding892imported
/product/apiproduct634imported
/pricinglanding421imported
/blog/ai-trends-2026blog298imported
/guides/migrationguide187imported
/case/healthcare-cocase142imported
500 URLs · imported from sitemap

Any input type

Start with the rows your workflow depends on

Build a Sheet from URLs, companies, keywords, competitors, prompts, articles, authors, leads, products, accounts, or uploaded CSVs. Each row becomes an object an agent can work on.

Agent columns · run on every row+ Add agent column
URLAGENT ResearchAGENT ClassifyAGENT ScoreAGENT Recommend
/blog/crm-guideCompares CRM tools for SaaS startupsComparison92Add competitor table + pricing
/vs/salesforceDirect vs/salesforce landing pageComparison88Refresh proof + add ROI calc
/product/apiAPI reference & SDK docsFeature85Add SDK examples + tutorials
/pricingPricing tiers w/ feature matrixPricing64Add yearly toggle + ROI calc
/blog/ai-trends-2026Predictions list, opinion pieceThought58Add proof data + quote sources
/guides/migrationStep-by-step migration playbookHow-to52Add template + Q&A section
/case/healthcare-coHealthcare vertical case studyCase study46Add metrics + buyer quotes
1 agent · 4 columns · 500 rows · same logic

Agent columns

Run agent steps across every row

Add columns that research, classify, summarize, score, extract, rewrite, enrich, compare, or generate. Instead of asking an agent to handle one task, Sheets lets you apply the same agent logic across an entire dataset.

Connected:GA4GSCSemrushDataForSEOAnalyze AIBrand VaultHubSpotCMS
URLGA4GSCAnalyzeVaultHubSpot
SessionsClicksVis%Sentim.Deals
/blog/crm-guide1,24089212%0.823
/vs/salesforce8926348%0.687
/product/api6344216%0.742
/pricing42129822%0.5511
/blog/ai-trends-202629818714%0.711
/guides/migration1871424%0.780
/case/healthcare-co142982%0.844
Every column joined live · refreshed every 6 h

Connected data

Use the same data your agents already understand

Sheets pulls from Analyze AI visibility data, SEO data, GA4, GSC, Semrush, DataForSEO, Brand Vault, CRM records, CMS content, web research, enrichment tools, and prior agent outputs. Your rows are not static spreadsheet cells — they are connected to the systems your marketing team uses.

Running audit-agent on 500 rows324 / 500 · 65%
Run on allPauseRetry 12 failed
URLScoreStatusStep
/blog/crm-guide92DoneBrief ready
/vs/salesforce88DoneBrief ready
/product/api85DoneBrief ready
/pricing64RunningGenerating brief…
/blog/ai-trends-202658RunningGenerating brief…
/guides/migration52!FailedAPI timeout
/case/healthcare-co46·QueuedWaiting
1 agent · 500 inputs · parallel executionavg 3.2s / row

Batch execution

Turn one agent into hundreds of completed tasks

Use Sheets when the workflow is repeatable: audit every page, research every account, enrich every lead, classify every keyword, summarize every article, generate every brief, or compare every competitor. Run the workflow across selected rows or the full table.

Review queue · filter: needs approval3 awaiting
URLAgent outputStatusOwnerActions
/blog/crm-guideBrief · 1,200 words · 5 sectionsNeeds review
/vs/salesforceBrief · ready to publishApprovedSend →
/product/apiBrief · 980 words · 4 sectionsNeeds review
/pricingBrief · sent to writerApprovedSend →
/blog/ai-trends-2026Brief · needs rework on introEdit & retryEdit
/guides/migrationBrief · 1,420 words · 6 sectionsNeeds review
/case/healthcare-coBrief · queued for CMS pushApprovedSend →
4 approved · ready for CMS push1 rejected · sent back to writer

Review layer

Keep humans in control before work moves forward

Filter, sort, review, edit, approve, and assign outputs before sending them into the next step. Sheets gives your team a shared workspace for deciding what should become a brief, draft, alert, CRM update, CMS task, report, or campaign.

Agents at scale

Run the same agent workflow across hundreds or thousands of rows instead of one input at a time.

Any row object

Work from URLs, companies, keywords, prompts, competitors, articles, leads, accounts, authors, or CSV uploads.

AI-powered columns

Research, enrich, classify, score, summarize, compare, draft, rewrite, extract, and recommend at row level.

Built-in review layer

Filter outputs, approve rows, assign owners, retry failures, and route finished work into agents, exports, CMS, CRM, or reports.

Example Workflows

Real Sheets your team can run today

A Sheet is the same agent workflow applied to hundreds of rows at once. Six teams already running.

Content OpsManual · Import 500 URLs#01

From 500 URLs to a prioritized optimization queue

Replaces a quarter of manual page-by-page auditing. The content team opens one table that has already audited, scored, and assigned the work — they decide what ships first.

500 → 38URLs audited → high-priority fixes scored
Manual trigger
Import 500 URLs
  1. AI
    Import URL list (CSV or sitemap)
    01
  2. AI
    Run audit agent on every row
    02
  3. Analytics
    Enrich: GA4 sessions + citation share
    03
  4. AI
    Classify the content issue per row
    04
  5. AI
    Generate a recommended fix
    05
  6. AI
    Score opportunity (traffic × fix lift × intent)
    06
  7. Logic
    Filter priority > 80 + assign owner
    07
  8. Action
    Export to Notion · push briefs to writer queue
    08
AEO / SEOManual · Pull uncovered prompts#02

From 500 uncovered prompts to 18 ready-to-write briefs

Replaces a multi-tab spreadsheet drag-and-drop. The content team opens one table that already knows what to write, who owns it, and which page to update.

500 → 18raw prompts → prioritized briefs
Manual trigger
Pull uncovered prompts
  1. AI
    Import uncovered prompts from Analyze AI
    01
  2. AI
    Enrich: competitor mentions + cited sources
    02
  3. AI
    Classify intent (Comparison · How-to · Pricing)
    03
  4. AI
    Map each prompt to your existing pages
    04
  5. AI
    Score opportunity (intent × demand × gap)
    05
  6. Logic
    Filter priority > 80 + assign owner
    06
  7. AI
    Run agent: Generate content brief per row
    07
  8. Action
    Export to Notion editorial calendar
    08
SalesManual · Upload 200 accounts#03

200 target accounts → enriched leads with personalized intros

Every AE walks into the day with researched, enriched accounts and a personalized first email already drafted. CRM stays clean.

200 accountsresearched, drafted, routed overnight
Manual trigger
Upload 200 accounts
  1. AI
    Upload account list (company + domain)
    01
  2. Research
    Hunter + Tomba: find decision-maker emails
    02
  3. Research
    DataForSEO Domain Overview + Lighthouse
    03
  4. Research
    News Research on each prospect
    04
  5. AI
    Generate personalized intro per account
    05
  6. Action
    HubSpot Upsert Contact + Create Note
    06
  7. Action
    Slack each AE with their assigned list
    07
AgencySchedule · 1st of month · 7 AM#04

Monthly client reports — every account, in parallel

Reporting day stops existing. One agent, one Sheet, every client report ships before 9 AM on the 1st.

24 clientsone workflow · no production line
Schedule trigger
1st of month · 7 AM
  1. Logic
    Loop over 24 client domains
    01
  2. Data recipe
    exec-one-pager recipe per client
    02
  3. Analytics
    AI visibility delta vs. last month
    03
  4. Analytics
    GA4 + GSC top-pages summary
    04
  5. Research
    Competitor SERP movement + new backlinks
    05
  6. Action
    DOCX with client letterhead template
    06
  7. Action
    Send Email to each account team
    07
PR & CommsManual · Import journalist list#05

80 journalists → 80 personalized pitch drafts

A media list becomes 80 tailored drafts in a single Sheet run — not a generic press blast.

80 draftspersonalized in parallel
Manual trigger
Import journalist list
  1. AI
    Upload 80 target journalists
    01
  2. AI
    Web Page Scrape last 5 articles each
    02
  3. AI
    Classify their beat + recent angles
    03
  4. Research
    Tomba Author Finder for current email
    04
  5. AI
    Inject Brand Context (tone + proof)
    05
  6. AI
    Draft a personalized pitch per journalist
    06
  7. Action
    Export to outreach tool · log to HubSpot
    07
Competitive IntelSchedule · Every Monday · 6 AM#06

Weekly competitor diff across 40 tracked URLs

Catch competitor positioning shifts the week they happen — before they turn into a blind spot in three months.

40 URLsdiffed and analyzed every Monday
Schedule trigger
Every Monday · 6 AM
  1. Logic
    Loop over 40 competitor URLs
    01
  2. AI
    Web Page Scrape current version
    02
  3. AI
    Diff against last week's snapshot
    03
  4. AI
    Classify messaging shift (positioning · pricing · proof)
    04
  5. AI
    Prompt LLM: suggested counter-moves
    05
  6. Action
    Export comparison table (CSV)
    06
  7. Action
    Slack the strategy team with summary
    07
Use Cases

One table layer — every team that needs to do the same work, many times

Content operations

Audit pages, generate briefs, rewrite sections, classify gaps, and manage refresh queues.

SEO and AI visibility

Analyze prompts, keywords, citations, competitors, pages, and visibility opportunities at scale.

Agency reporting

Run the same report workflow across many clients, domains, campaigns, or accounts.

Sales research

Research companies, enrich leads, summarize websites, find contacts, and draft personalized outreach.

PR and media

Research journalists, summarize articles, enrich authors, classify coverage, and draft pitch angles.

Competitive intelligence

Track competitor pages, claims, citations, messaging shifts, and recommended counter-moves.

Case Study

How Kylian AI Drove 1k+/m Visits from AI SEO

The Analyze AI dashboard showed exactly which pages were converting. Top pages achieved conversion rates of 7–8%, far above the typical blog benchmark of 1–2%.

By August, the compounding effect was undeniable. AI referrals now make up 3% of all site traffic, spread across multiple AI engines.

5% Conversion Rate

From AI search traffic — far above the typical blog benchmark of 1–2%.

1,000+ Sessions/mo

AI-sourced sessions scaled from 200 in May to 1,000+ in November.

Multi-Engine Growth

Resilient growth spread across ChatGPT, Copilot, Claude, Gemini, and more.

Trusted by marketing teams driving AI growth.

Gilbert Igor

Gilbert Igor

We're now observing a 5% conversion rate from AI search traffic and we can attribute it down to the source page and medium. Our goal is to double down on Analyze AI's recommendations to reduce our over-reliance on Google.

Gilbert Igor
Marketing Coordinator, Kylian

Justin Ahinon

Justin Ahinon

Owner, What Is That Movie

Google has been quite unreliable since the creation of What Is That Movie.”

We've been using Analyze AI to diversify our traffic sources and have been using their recommendations to boost our AI SEO traffic by 35% month-over-month.

WhatIsThatMovie
Yannick Kok

Yannick Kok

Cofounder, Nebor

Analyze AI doesn't only help you understand how visible your brand is vs your competitors in the LLM's, it also points you in the right direction for improving this visibility.”

That opens up the black box and is super powerful for any marketer!

Nebor

Insights & Guides

Practical guides to help you improve your brand's visibility and performance across AI platforms.

April 6, 2026
How To Rank On Perplexity AI (Based On Analysis Of 65,000 Prompt Citations)

How To Rank On Perplexity AI (Based On Analysis Of 65,000 Prompt Citations)

Discover how to rank on Perplexity AI with insights from 65,000 prompt citations based on real citation data.

April 6, 2026
How To Rank On ChatGPT (Based On Analysis Of 65,000 Prompt Citations)

How To Rank On ChatGPT (Based On Analysis Of 65,000 Prompt Citations)

Discover proven strategies to rank on ChatGPT using insights from 65,000 prompt citations backed by real citation data.

April 6, 2026
How To Outrank Competitors In AI Search: Based on Real Citation Data

How To Outrank Competitors In AI Search? (Based on Real Citation Data)

Discover proven strategies to outrank competitors in AI search using real citation data and actionable insights for higher visibility.

questions & answers

Frequently Asked Questions

Answers to common questions about sheets in Analyze AI.

What are Analyze AI Sheets?

Sheets are operating tables for running Analyze AI agents at scale. You can add rows of inputs, run agent-powered columns, enrich each row with connected data, review outputs, and route finished work into reports, briefs, drafts, CRM updates, CMS tasks, or exports.

How are Sheets different from normal spreadsheets?

Traditional spreadsheets store and organize data. Analyze AI Sheets execute work. Each row can trigger research, enrichment, scoring, summarization, drafting, classification, extraction, or routing powered by Analyze AI agents.

How are Sheets connected to Agent Builder?

Agent Builder is where you design workflows. Sheets is where you run those workflows across many rows. You can build an agent once, then apply it to a table of URLs, companies, keywords, leads, competitors, prompts, or content ideas.

What can I run through Sheets?

You can run workflows across URLs, companies, keywords, prompts, competitors, articles, authors, leads, accounts, content ideas, customer lists, and CSV uploads.

What can Sheets do to each row?

Sheets can research, enrich, classify, score, summarize, compare, extract, rewrite, generate, assign, export, or send the row into another agent workflow.

Can Sheets use my Analyze AI data?

Yes. Sheets can use Analyze AI visibility data, citation data, prompt data, AI traffic, competitors, Brand Vault, SEO data, GA4, GSC, CRM data, CMS content, enrichment tools, and web research.

Who should use Sheets?

Sheets are useful for teams that need to scale repeatable marketing work: content teams, SEO teams, AI visibility teams, agencies, PR teams, growth teams, and sales teams.

Is Sheets only for AI search workflows?

No. AI search is one use case. Sheets can support any workflow your agents can run, including content operations, lead enrichment, account research, PR research, competitive intelligence, reporting, and CMS workflows.
Get Ahead Now

Start winning the prompts that drive pipeline

See where you rank, where competitors beat you, and what to do about it — across every AI engine.

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0 new citations

found this week

#3

on ChatGPT

↑ from #7 last week

+0% visibility

month-over-month

Competitor alert

Hubspot overtook you

Hey Salesforce team,

In the last 7 days, Perplexity is your top AI channel — mentioned in 0% of responses, cited in 0%. Hubspot leads at #1 with 0.2% visibility.

Last 7 daysAll AI ModelsAll Brands
Visibility

% mentioned in AI results

Mar 11Mar 14Mar 17
Sentiment

Avg sentiment (0–100)

Mar 11Mar 14Mar 17
SalesforceHubspotZohoFreshworksZendesk