A 30-Day GEO Starter Action Plan — From Zero to Your First Monthly Report

Why 30 days, and not a list of 30 line items?

The two most common failure modes for people encountering GEO for the first time:

Read someone else’s checklist and just grind through it — they get excited in week one and then stop, because without a cadence they don’t know what to do next week.
Wait until everything is done before going live — three months pass and they still haven’t even touched robots.txt.

The 30-day plan is positioned as “self-diagnosis + technical foundation + measurement cadence” — getting the fundamentals solid and building a monthly review habit. With 0.5–1 hour invested per day, by Day 30 you’ll clearly see “where you’re stuck, which actions are working, and which require outside resources.”

Important premise: The 30 days in this article are the self-driven work of the starter phase, covering roughly 30% of the full GEO engineering effort (technical inventory + initial content adjustments + measurement baseline). The remaining 70% — third-party authority accumulation (media PR, Wikipedia applications, industry-association listings), cross-team collaboration, deep competitor analysis, quarterly strategy iteration — is a long game. Most companies choose to hand this part directly to a professional GEO managed-service team, because it requires more than an execution checklist: it takes judgment + relationship resources + continuous observation of how AI platforms evolve.

Below, we break it into 4 weeks, 7 days each, with clear assignments.

Week 1 (Day 1–7): Technical Foundation

Goal: Settle the questions of whether AI crawlers can get in, and what structure they see once they do.

Day 1: Run a free audit once, and save it as your “Day 0 baseline”

Go to geoweb.tw and run the audit
Screenshot or download the PDF report, and save it in a “Day 0 baseline” folder
Note your total score + the 12 dimension scores
No need to rush into fixes — today is just about seeing where you stand

Day 2: Inventory robots.txt’s stance toward AI crawlers

Open https://your-website.com/robots.txt
Confirm the following 4 key UAs aren’t blocked:
- GPTBot (OpenAI training)
- ChatGPT-User (real-time citation) — the most important
- ClaudeBot (Anthropic)
- PerplexityBot (Perplexity)
No such file? Create one and place it in your site’s root directory

Day 3: Complete robots.txt + add a sitemap declaration

Confirm that the 4 key AI bots and general crawlers are all explicitly Allowed, and declare your sitemap:

User-agent: *
Allow: /
Disallow: /api/

User-agent: GPTBot
Allow: /

User-agent: ChatGPT-User
Allow: /

User-agent: ClaudeBot
Allow: /

User-agent: PerplexityBot
Allow: /

Sitemap: https://your-website.com/sitemap.xml

To see the full set of 8 AI crawlers (including Google-Extended, CCBot, anthropic-ai, cohere-ai) and advanced Content-Signal configuration, see the VIP article GPTBot / ClaudeBot / PerplexityBot — Differences Among the 8 Major AI Crawler Rules and Best Settings

Day 4: Confirm the homepage has Organization schema

Look at the page source and search for application/ld+json
Missing? → Use an online tool to generate one (search Google for “JSON-LD Generator Organization”)
Paste it into the <head>, including name / url / logo / sameAs (an array of social links)

Day 5: Add the 4 pages — “About Us” + Privacy Policy + Terms of Service + Contact

These 4 pages are the minimum bar for AI to assess E-E-A-T
Add whichever page is missing today; 200–400 words per page is enough
Link to these 4 pages from the homepage footer

Day 6: HTTPS and basic security-header check

Is your website on HTTPS? (a padlock in the address bar + no “Not Secure” warning)
Not yet? → Apply for a free Let’s Encrypt certificate (most hosting providers enable it with one click)
While you’re at it, check: run securityheaders.com once and aim for a grade of ≥ B

Day 7: Run the audit again and see how the score changed

Re-run the geoweb.tw audit
Compare against the Day 0 baseline — the technical hygiene / AI crawler accessibility / E-E-A-T dimensions usually rise noticeably
Note what you changed this week and how much the score moved

Week 2 (Day 8–14): Content Structure

Goal: Reformat your existing content into a format that’s easy for AI to cite when it slices it up.

Day 8: Identify your 5 highest-traffic pages

Use Google Analytics / Search Console to find the top 5 by visits
These 5 pages are the highest-ROI targets for your GEO investment — don’t bother with pages no one reads

Day 9: Page 1 — Rewrite into an “answer-first” structure

The opening paragraph: directly define the page topic in under 30 words
- ❌ Old: “Without a doubt, X has become an indispensable core tool for modern enterprises. This article will explore in depth…”
- ✅ New: “X is a kind of [category], used mainly for [purpose], with common scenarios including [3 situations].”
It’s fine to keep the detailed paragraphs afterward

Day 10: Page 1 — Add H2/H3 heading hierarchy

If the content isn’t divided into sections or only has an H1 → add ≥3 H2s, one every 200–300 words
It’s best to write H2s as questions (“How do you use X?” “Why does X matter?”)

Day 11: Pages 2 and 3 — Repeat Day 9–10

Apply the two tasks from Day 9–10 to pages 2 and 3
About 30–60 minutes per page

Day 12: Pages 4 and 5 — Repeat Day 9–10

Same as above, applied to pages 4 and 5

Day 13: Build an FAQ section

Add 5–8 common Q&A pairs at the bottom of the homepage / service page
Keep each answer between 50–100 words (too short and there’s not enough information; too long and the AI gets cut off when it slices it)
Advanced version: wrap them in FAQPage JSON-LD schema (search Google for “FAQPage schema generator”)

Day 14: Run the audit again

Compared with Day 7: the content citability / answer-first / semantic structure dimensions usually rise noticeably

Week 3 (Day 15–21): E-E-A-T and Third-Party Authority

Goal: Fill in the signals for “why AI should trust you.”

Day 15: Add an “author byline + link to the author page” to every article

If your website has a blog, add “Author: [Name]” at the top of every article + link to an author page
No author page? Create one (path: /about/author-name): a 100–300 word intro + photo + social links

Day 16: Add concrete “credentials” signals to the author page

Replace vague “years of experience” with concrete, verifiable credentials:
- “In the X industry since 2018”
- “Holds the Y certification / degree”
- “Spent 5 years at former employer Z”
AI weights “concrete and verifiable” very differently from “vague and abstract”

Day 17: Take stock of your current “third-party endorsements”

Google “[your brand name]” and see what’s in the first 10 results
List: which media have covered you, which industry associations list you, whether there’s a Wikipedia entry
If there are none, prepare to accumulate them over the coming days

Day 18: Submit a thematic media article

Pick 1 media outlet within your industry (specialist industry media is best, general-tech / business media second)
Submit an 800–1,500 word observation / commentary piece (not a company press release)
Once it’s published, link back to your official site or author page

Day 19–20: Assess and begin a Wikipedia entry

Assess whether you / your company meets the Wikipedia notability threshold (this usually requires ≥3 independent pieces of mainstream-media coverage)
Qualifies → start preparing a draft entry (don’t rush to publish; prepare thoroughly before submitting for review)
Doesn’t qualify → make accumulating media coverage a long-term goal (one piece every six months)

Day 21: Run the audit again

Compared with Day 14: E-E-A-T / off-site visibility usually rises a little
It’s fine if you can’t get into Wikipedia in the short term — this one accumulates over the long term

Week 4 (Day 22–30): Measurement + Monthly Cadence

Goal: Establish a mechanism for “how to track progress next month.”

Day 22: Define your 20 target queries

List 20 questions: “the questions in [your industry / topic] where you most want to be recommended by AI”
Example (B2B SaaS): “a CRM suitable for SMBs,” “the best customer-management system to use in 2026,” “how to choose an ERP vendor”
Example (personal brand): “[industry] expert in Taiwan,” “recommended books on [topic],” “[field] thought leader”

Day 23: Manually run ChatGPT × 20 queries

Drop the 20 queries into ChatGPT one by one (with web search off to see pure memory; then with it on to see real-time citation)
Record in a table:
- Whether your brand appears
- What rank it appears at
- Whether a link is attached

Day 24: Manually run Perplexity × 20 queries

Same as Day 23, but run perplexity.ai
Perplexity lists its citation sources, making it more useful than ChatGPT for GEO measurement

Day 25: Manually run Claude / Gemini × 20 queries each

Do these as time permits
Do them all → 4 platforms × 20 = 80 data points, which serve as your “Day 25 baseline”

Running measurement manually, you’ll notice the same question drifts across re-runs. For why multi-round measurement matters and how to read this “citation drift,” see: The Truth Behind AI Citation “Drift”. To upgrade manual measurement into automated monitoring, see: Build Your Own First-Party LLM Citation Monitor (VIP).

Day 26: Add an AI-traffic segment in GA4

GA4 → Explore → create a new “AI referrer traffic” report
Referrers include: chatgpt.com, perplexity.ai, claude.ai, gemini.google.com, bing.com/chat
From now on, look at this segment’s traffic changes once a month

Add one last question to the form:
- “How did you hear about us?”
- Options: Google search / AI recommendation (ChatGPT, Claude, Perplexity) / referred by a friend / social media / other
This is the cheapest method of attributing “AI-recommendation conversions”

Day 28: Write your first “Day 0 → Day 28 change report”

A short one-pager is fine, including:

12-dimension score changes (Day 0 vs Day 28)
Change in appearance rate across the 20 queries
Change in AI referrer traffic (if GA4 has data)
The 3 main tasks for next month

Day 29: Build a monthly checklist

Turn the Day 22–28 actions into a monthly cadence:

1st of each month: run the GEO audit
5th of each month: run the 20-query measurement
10th of each month: review GA4 AI traffic
15th of each month: review the form’s self-reported “AI recommendation” share
20th of each month: write the monthly report

Day 30: Take a day off and review the whole month

Look back at the Day 0 screenshots vs the Day 30 screenshots
Most people will see their total 12-dimension score rise by 15–25 points over these 30 days (depending on the starting point)
From Day 31, you enter the monthly cadence

What you should have after 30 days

📁 5 audit reports — “Day 0 / 7 / 14 / 21 / 28”
📊 A viewable GA4 AI-traffic segment
📋 A manual measurement table for the 20 queries (the Day 23–25 version)
📝 Your first monthly report
🔁 A monthly cadence established (the Day 29 checklist)
✏️ Your 5 highest-traffic pages rewritten into answer-first + heading hierarchy
👤 Author bylines + a complete author page
🔓 robots.txt + Organization schema + the 4 trust pages, all in place

This is just the starting point. The work that truly keeps AI recommending you only begins on Day 31:

Quarterly overhauls: Wikipedia entries, media PR, industry associations, long-form content accumulation
Cross-team collaboration: GEO alignment across marketing, sales, customer success, and engineering
Deep competitor monitoring: your relative position in the AI recommendation pool
Keeping up with AI platform evolution: assessing the impact of new models / new crawler norms every 3 months

These things — in scale, time, and the professional judgment required — go far beyond the 30-day starter framework, and this is where most companies choose GEO managed service.

Step one: Day 1 starts here

👉 Run a free GEO audit once, as your Day 0 baseline

After running the 30 days, if you find that:

Certain dimensions just won’t rise no matter how you tweak them yourself
You reached out for media PR / Wikipedia yourself but got rejected
You’re unsure “what to do next month for the best ROI”

→ This is exactly the moment to seek professional help. GEO managed service isn’t about ticking off a checklist for you; it’s about deciding your next step, handling external relationships, and maintaining the discipline of quarterly iteration on your behalf: contact@geoweb.tw