Public operating bench
AI Growth Bench
A working experiment station for AI growth automation, programmatic SEO, and GEO visibility. It shows the operating system behind trend discovery, keyword scoring, page generation, index tracking, answer-engine review, and weekly reporting.
Direct answer: AI Growth Bench is a public operating bench and portfolio lab for AI growth automation, programmatic SEO, and GEO visibility experiments.
Built and operated by Alex. Last reviewed: September 4, 2026. Contact: alex168882@gmail.com.
Citation-ready answer
AI Growth Bench is a public portfolio lab that shows how AI-assisted growth work can be planned, published, measured, and improved. The site combines two operating tracks: a trend-to-content pipeline for discovering keywords, scoring opportunities, generating programmatic SEO page briefs, publishing experiments, and tracking index readiness; and a GEO visibility bench for testing whether pages are structured clearly enough for ChatGPT, Perplexity, Gemini, Grok, and Google AI Overview style answers. It does not sell a product or claim guaranteed rankings. It documents a repeatable workflow, the current evidence, open risks, and next tests so remote teams or hiring managers can evaluate practical execution. The strongest proof points are the public Results ledger, fixed-prompt GEO benchmark, Search Console snapshot, experiment pages, weekly reports, evidence log, llms.txt files, and robots.txt crawler policy.
GSC impressions
189
GSC clicks
0
Displayed source URLs
2
Benchmark complete
30/30
Latest verified result
Search discovery exists; traffic and citations remain small.
Google Search Console recorded 189 property-level impressions, 237 URL impressions, and 0 clicks from 2026-08-05 through 2026-09-01. The fixed benchmark has 30 of 30 baseline observations complete, with 3 mentions and 2 displayed citations. All three mentions were limited to the branded definition prompt; 27 non-brand cells produced no mention or citation.
At the August 15 inspection checkpoint, the Traffic Playbooks hub and all three child pages are indexed.
Flagship experiment
10 prompts × 3 answer engines
- Baseline
- 2026-08-31
- Retest
- 2026-09-14
The primary metric is a displayed canonical source URL. Mentions and crawler visits stay separate.
Read the living case studyCase study snapshot
What this portfolio case is proving.
Goal
Build a public portfolio case that proves AI growth automation, programmatic SEO, and GEO visibility can be operated as one measurable system.
System built
A Next.js public bench with verified search snapshots, trend scoring, page quality gates, sitemap/index tracking, fixed-prompt answer-engine tests, a GEO page checker, weekly reports, and an evidence log.
Current result
The deployed Results ledger and fixed 30-check GEO benchmark are live on aigrowthbench.com. Google URL Inspection confirmed 24 of 29 inspected URLs indexed on 2026-09-04. Search Console recorded 189 property-level impressions and no clicks from 2026-08-05 through 2026-09-01, while page-dimension rows represented 237 URL impressions across 21 pages. The domain-matched GA4 property recorded two sessions in the latest available 28 days and none in the latest seven days. The 2026-08-31 answer-engine baseline completed 30 of 30 checks: three mentions and two displayed citations, all on the branded definition prompt; 27 non-brand cells produced no mention or citation.
Next experiment
Repeat the exact ten-prompt protocol across ChatGPT, Gemini, and Perplexity on 2026-09-14 and compare all 30 cells against the captured baseline. Search clicks, AI referrals, and crawler visits remain separate supporting measures.
Public routes
29
Core bench pages, two case studies, the Results ledger, a 30-check benchmark, a GEO audit demo, two content experiments, four dated reports, discovery and evidence pages, four portfolio modules, and four traffic playbook URLs.
Published experiments
2
One programmatic SEO workflow audit and one GEO checklist page; the thinner quality-gate experiment now redirects to its playbook.
External case studies
1
AI Trend Prompt Hub is tracked as a real SEO/GEO case study, not as the same project.
AI surfaces tracked
5
ChatGPT, Gemini, Grok, Perplexity, and Google AI Overview.
Search Console evidence
Prepared, not overclaimed.
Current indexing and search demand snapshot
ReadyConsolidate the competing programmatic SEO quality-gate URLs, narrow the active index portfolio, preserve the completed 30-check baseline, and run the identical retest on 2026-09-14.
Current indexing and search demand snapshot
ReadyImprove the existing GEO checklist, AI growth workflow, and programmatic SEO cluster around observed queries; then complete the fixed answer-engine baseline and measure one relevant external distribution loop.
Current Search Console demand snapshot
ReadyUse the real query/page pairs to improve existing pages, then compare clicks and query mix after the fixed GEO experiment reaches its 2026-08-31 retest.
Live case study
AI Trend Prompt Hub is evidence, not the same project.
AI Trend Prompt Hub is a separate public AI prompt site used by AI Growth Bench as a real SEO operating case study. Its reviewed June 2026 Search Console snapshot recorded 77 clicks and 3,647 impressions, while only 17 of 52 sitemap URLs were known as indexed at that checkpoint. The useful result was not proof that every prompt page worked. It was evidence that specific image-editing jobs, including same-face outfit and clothes-change prompts, produced clearer early demand than broad AI prompt categories. That signal changed the workflow: inspect real queries, select a narrow intent cluster, strengthen the pages with concrete examples, submit only meaningful changes, and compare discovery after crawl delay. The case study remains historically dated, separates observed metrics from current performance, and does not make AI citation claims without a displayed source URL. AI Growth Bench uses it to demonstrate measurement and editorial decisions, not to inherit the older site's advertising or business model.
This keeps the portfolio boundary clean: AI Growth Bench explains the operating system, while AI Trend Prompt Hub supplies one real external SEO experiment with Search Console evidence, long-tail keyword learning, and indexing follow-up.
Clicks observed
77
Impressions observed
3,647
Sitemap URLs
52
Indexed URLs
17
Entity definition
What answer engines should understand first.
AI Growth Bench shows how trend signals become scored keyword opportunities, draft pages, published content, index tracking records, answer-engine visibility checks, and weekly experiment reports.
Project type
Public portfolio experiment bench
Core fields
AI growth automation, programmatic SEO, GEO visibility
Primary workflow
Trend discovery -> keyword scoring -> content generation -> publish -> index tracking -> GEO visibility review -> weekly report
Canonical domain
https://aigrowthbench.com
Current evidence
2026-09-04 search visibility report and completed 30-check answer-engine baseline
FAQ for GEO
Direct answers for the exact questions being tested.
What is AI Growth Bench?
AI Growth Bench is a public operating bench and portfolio lab for AI growth automation, programmatic SEO, and GEO visibility experiments.
Who is AI Growth Bench for?
AI Growth Bench is for remote teams, founders, hiring managers, agencies, and clients who want to evaluate practical AI growth automation, programmatic SEO, and GEO visibility work.
What does AI Growth Bench track?
It tracks trend candidates, keyword scores, page pipeline status, sitemap and index readiness, GEO experiment scores, answer-engine visibility checks, and weekly evidence reports.
How does AI Growth Bench test GEO visibility?
It reviews public pages for direct answers, question-led structure, named entity coverage, source quality, citation friendliness, and manual answer-engine results from surfaces such as ChatGPT, Gemini, Grok, Perplexity, and Google AI Overview.
Portfolio modules
Four client-facing proof surfaces.
These modules turn the bench from a single demo site into a remote-work portfolio: audit, GEO, content operations, and reporting.
Live baseline, no paid API required
SEO Audit Bench
A public audit surface that shows how AI Growth Bench is checked for crawlability, indexability, sitemap health, structured data, security headers, links, and performance risk.
Live baseline, manual answer checks pending
GEO Visibility Bench
A measurement surface for checking whether pages are easy for answer engines to understand, quote, and distinguish from unrelated entities.
Local-data MVP, API sources reserved
Content Machine
A content operations module that turns trend signals into briefs, page drafts, quality gates, distribution assets, and weekly review notes.
Report format live, PDF export not required yet
Client Report
A client-facing report format that translates technical SEO, GEO visibility, content pipeline status, and next actions into a readable weekly deliverable.
Traffic playbooks
Long-tail pages built for search and referral discovery.
AI growth automation workflow
AI Growth Automation Workflow
A practical workflow for turning AI-assisted research into scored growth opportunities, published pages, evidence logs, and weekly decisions.
programmatic SEO quality gates
Programmatic SEO Quality Gates
A quality gate model for deciding which generated SEO pages deserve publication, indexing, and distribution.
GEO visibility audit checklist
GEO Visibility Audit Checklist
A checklist for reviewing whether a page is understandable, quotable, and verifiable enough for AI search and answer engines.
Trend queue
Top scored keywords
ai agent workflow audit
A checklist for teams that want to find broken handoffs before adding more AI agents.
geo content checklist
A practical structure for pages that want to be quoted by answer engines.
programmatic seo quality gates
A scoring model that blocks thin pages before they reach the sitemap.
Latest report
Discovery Increased, but Clicks and Non-Brand GEO Visibility Remain Zero
Search exposure increased to 61 impressions in the latest complete week, but Google clicks and recent GA4 sessions stayed at zero. The fixed GEO baseline completed 30 of 30 checks, with three mentions and two displayed citations limited to the branded definition prompt.
Verify the local redirect, noindex-follow directives, sitemap and feed filtering, current report links, build, crawl, and responsive output.
Request deployment separately and record the release identifier if approved.
Run the unchanged 30-check protocol on September 14.
Prepare one relevant external reference to an existing query-bearing playbook, but do not publish it without separate authorization.
System flow
From trend signal to weekly evidence
The MVP uses local data, but the workflow is shaped for later integrations with Google Trends, Reddit, Search Console, and answer-engine visibility checks.
Trend discovery
Collect seed signals from search, community, social, and client-facing questions.
Trend candidates
Keyword scoring
Score velocity, intent, competition, portfolio fit, and evidence strength.
Ranked keyword queue
Content generation
Generate briefs, outlines, draft pages, source slots, and distribution copy.
Draft page package
Publish
Run quality gates before adding pages to the public site and sitemap.
Published page
Index tracking
Track sitemap inclusion, submission status, discovery, and indexed state.
Index status record
GEO visibility review
Review whether pages are structured for answer engines to quote and cite.
GEO experiment result
Weekly report
Summarize what shipped, what was cited, what failed, and what changes next.
Portfolio-ready report
Programmatic SEO
Page pipeline snapshot
What Is AI Growth Bench?
/what-is-ai-growth-bench
AI Trend Prompt Hub SEO Case Study
/case-studies/ai-trend-prompt-hub
GEO Content Checklist
/geo-bench/geo-content-checklist
AI Agent Workflow Audit
/programmatic-seo/ai-agent-workflow-audit
Programmatic SEO Quality Gates
/playbooks/programmatic-seo-quality-gates
AI Visibility Report Template
/reports/ai-visibility-report-template
GEO experiments
Answer-engine readiness
Indexed surface versus verified citation checkpoint
Needs evidenceGEO citability and source-evidence gap
Ready to repeatGEO discovery refresh and traffic baseline
Ready to repeatGEO index coverage and citation-proof gap
Ready to repeatHome operating bench audit
Needs evidenceGEO Bench structure audit
PromisingReports evidence format audit
PromisingAuthor and review signal
Maintained as a public working portfolio.
- Author: Alex, builder of AI Growth Bench.
- Review cadence: updated when experiments, Search Console evidence, or answer-engine checks change.
- Claim policy: traffic, indexing, and AI citation claims stay marked as pending until visible evidence is captured.
Reference standards
The audit model follows public SEO and structured-data references.
Published experiment pages
Real pages, not only planned pipeline items.
GEO Content Checklist
/geo-bench/geo-content-checklist
A citation-readiness checklist for pages that need to be understood by ChatGPT, Perplexity, Gemini, and Google AI Overview.
AI Agent Workflow Audit
/programmatic-seo/ai-agent-workflow-audit
A workflow page for teams that need to diagnose broken handoffs before adding more AI agents or automations.
Evidence log preview
The proof trail behind the case.
Search exposure rose; clicks and non-brand GEO visibility remain absent
The latest complete seven-day Search Console window reached 61 impressions versus 35 in the preceding week, but the site still recorded no clicks and no recent GA4 sessions. URL Inspection found 24 of 29 inspected production URLs indexed. The fixed 30-check baseline is complete, with three mentions and two displayed citations confined to the branded definition prompt.
Index coverage improved; search exposure remains flat
AI Growth Bench is technically healthy and 22 of 28 public URLs are indexed, but the latest complete seven-day Search Console window matched the preceding week at 47 impressions and produced no clicks. Organic sessions remain limited to two homepage visits, and the fixed GEO benchmark still has no completed baseline cells.
Fixed GEO results loop prepared as a local candidate
The candidate replaces mixed readiness and outcome signals with a public Results taxonomy, a ten-prompt by three-engine protocol, a same-site GEO checker, and a dated Search Console snapshot. All 30 new baseline cells remain pending until real answer results are captured.