Cara Membuat Program AI Visibility 90 Hari untuk Perusahaan Indonesia

Hari pertama program AI Visibility sering dimulai dengan salah langkah.

“Target kita masuk ChatGPT.”

Masuk untuk query apa?

Dengan jawaban apa?

Sumber mana?

Untuk buyer siapa?

Apa yang dianggap sukses?

Tidak ada.

Lalu tim membuat content calendar 90 hari.

30 artikel.

20 page.

50 prompt test.

Dashboard.

Tool subscription.

Bulan ketiga, semua sibuk.

Tidak ada yang tahu apakah bisnis jadi lebih mudah ditemukan atau justru hanya menghasilkan lebih banyak file.

Program 90 hari harus dimulai dari diagnosis.

Bukan produksi.

Tujuan 90 hari juga bukan “menaklukkan AI.”

Tidak realistis.

OpenAI menyatakan tidak ada cara menjamin top placement di ChatGPT Search. Google juga menegaskan tidak ada special hack, AI text file, atau markup yang dibutuhkan untuk generative AI Search; fundamental SEO dan useful, reliable content tetap penting.

Jadi program yang sehat fokus pada area yang bisa dikontrol.

Truth.

Access.

Evidence.

Measurement.

Correction.

Source coverage.

90 hari cukup untuk membangun operating system.

Tidak cukup untuk menjamin outcome platform.

Minggu 1: Bentuk tim kecil

Jangan committee 25 orang.

Core:

Program owner.

SEO/GEO.

Content.

PR.

Technical.

Data/analytics.

Legal/compliance on-call.

Product/operations owner.

Agency jika ada.

Executive sponsor.

Define role.

Program owner coordinates.

Domain owner verifies truth.

No one person owns all facts.

Meeting weekly 30–45 minutes.

Not daily standup.

Minggu 1: Tentukan business objective

Pilih dua atau tiga.

Example B2B:

Masuk buyer shortlist.

Reduce wrong AI claims.

Increase owned-source citations.

Improve procurement discoverability.

Example retail:

Product discovery.

Price/availability accuracy.

Local discovery.

Example clinic:

Location, service, doctor accuracy.

No “increase AI visibility” alone.

Visibility is means.

Objective business.

Write:

“If successful after 90 days, what changes?”

Clear.

Minggu 1: Build critical claim inventory

List 30–50.

Company identity.

Product.

Service.

Location.

Price.

Leadership.

Policy.

Certification.

Availability.

Client.

Capability.

License.

Support.

Mark severity.

High:

Legal.

Financial.

Health.

Security.

Price.

License.

Location.

Medium:

Positioning.

Product detail.

Low:

Minor history.

This becomes accuracy baseline.

Minggu 1–2: Build buyer query panel

Don't start 500.

Core 30.

Discovery 5.

Category 5.

Comparison 5.

Verification 5.

Trust 5.

Commercial 5.

Add local/industry.

For enterprise, procurement.

For SaaS, security.

For F&B, location/menu.

Use real sales call questions.

Support tickets.

Search Console.

Internal sales.

No invented “AI keywords” only.

Panel should represent buyer.

Minggu 2: Baseline testing

For each query:

Platform.

Date.

Exact prompt.

Session condition.

Mention.

Citation.

Answer accuracy.

Source.

Competitor.

Issue.

Run repeated for critical query if resource.

Do not rank with one screenshot.

Create evidence ledger.

Store raw.

Don't cherry-pick.

This is baseline.

Minggu 2: Technical eligibility audit

Website.

Crawlable?

Indexable?

Robots?

Canonical?

Status code?

JavaScript content visible?

Sitemap?

OAI-SearchBot blocked?

CDN?

Google indexed?

OpenAI says OAI-SearchBot access matters for inclusion in ChatGPT Search.

Google says generative AI eligibility remains rooted in Search indexing/quality.

Fix basic.

No llms.txt obsession before this.

Minggu 2: Source map

For each critical claim:

Official page.

Third-party.

Regulator.

Directory.

Review.

Media.

Product feed.

Old source.

Mark:

Current.

Stale.

Wrong.

Conflict.

Missing.

This often reveals biggest work.

Marketing thinks homepage issue.

Actually directory still shows old office.

Month 1 deliverable

By day 30:

Objective.

Owner.

30 core query.

Critical claim list.

Baseline.

Technical audit.

Source map.

High-risk correction list.

Measurement definition.

Do not require 20 articles.

If month one ends with diagnosis only, that's okay.

You now know problem.

Month 2 starts fixing.

Days 31–45: Correct canonical source

Priority:

Wrong official fact.

Missing buyer-critical.

Stale product.

Location.

Pricing.

Service.

Leadership.

Policy.

Create or improve pages.

About.

Service.

Product.

Location.

FAQ.

Evidence.

Security.

Pricing model.

No need blog first.

Canonical pages are foundation.

Every material claim has owner.

Days 31–45: Improve entity clarity

Organization name.

Legal relation.

Brand.

Founder/leadership.

Product identity.

Branch.

Seller.

Parent/subsidiary.

Use Organization/LocalBusiness structured data appropriately where relevant and supported, but no fake property.

Schema mirrors visible truth.

Not AI control knob.

Google explicitly says special schema is not required for generative AI Search.

Use structured data because it serves broader Search/understanding, not guaranteed AI citation.

Days 31–45: Fix external high-impact sources

Media old.

Directory.

Business Profile.

Marketplace.

Partner.

Association.

Regulator if wrong process exists.

Do factual outreach.

No demand remove criticism.

No fake coverage.

PR and GEO together.

Track result.

If cannot fix, residual risk.

Days 31–45: Build evidence

Top buyer claims.

Case study.

Methodology.

Certification.

Official registry.

Research.

Data.

Product docs.

Support docs.

Evidence should be:

Current.

Verifiable.

Scoped.

Dated.

Limited.

Don't build proof page saying “we are best.”

Build proof for specific claim.

Days 46–60: Content expansion

Now article.

Only based on query gap.

If buyer asks:

“how compare X and Y?”

Create comparison guide.

If asks:

“can product integrate SAP?”

Integration page.

If asks:

“how does service work?”

Process.

If asks regulation:

Reviewed article.

No 50 generic posts.

Google's current AI search guidance emphasizes unique, non-commodity content and warns against scaled content created mainly to manipulate search.

Quality > volume.

Days 46–60: Local and commerce data

If local:

Business Profile.

Branch.

Hours.

Direction.

Service area.

If ecommerce:

Product feed.

Price.

Stock.

Seller.

Policy.

If SaaS:

Docs.

Integrations.

Pricing.

Security.

If manufacturing:

Spec.

Capability.

Certification.

Different site, different data.

No universal GEO template.

Month 2 deliverable

By day 60:

Canonical truth improved.

Top source conflicts addressed.

Evidence gaps reduced.

Content built for real questions.

Technical issues fixed.

Dynamic data owner assigned.

Correction log active.

Now retest.

Days 61–70: Retest same core panel

Same method.

Do not change query because ugly.

Compare.

What changed?

Mention.

Accuracy.

Citation.

Source.

Shortlist.

Error.

But don't overclaim causality.

Model/platform may change.

Source may change.

Note event.

Observation:

“Brand appeared more often after changes.”

Not:

“Page caused 40% increase” unless experiment supports.

Measurement integrity.

Days 61–70: Add platform-native data

Google launched Generative AI performance reports in Search Console in June 2026, initially rolling them out to a subset of sites. If available, use.

Impressions.

Pages.

Countries.

Devices.

Dates according to report.

Do not merge blindly with ChatGPT manual observation.

Different data source.

Label.

ChatGPT referral can be tracked because OpenAI adds utm_source=chatgpt.com to referral URLs from ChatGPT search results, according to its publisher guidance.

Add analytics.

But remember zero-click influence.

Referral is subset.

Days 71–80: Build governance

Policy.

Who approves claim?

Who updates?

Freshness cadence.

Correction.

Paid vs organic.

Agency evidence ownership.

Crawler.

Privacy.

AI content disclosure.

High-risk escalation.

No need giant policy.

One-page matrix each.

Especially regulated/enterprise.

Days 71–80: Review buyer fit

Don't only ask:

“Did visibility increase?”

Ask sales:

Are leads more informed?

Did prospect mention AI?

Did wrong expectation decrease?

Do buyers find evidence?

Support:

Are AI-referenced tickets appearing?

What misinformation?

PR:

What third-party sources dominate?

Operations:

What facts stale?

AI Visibility becomes business feedback system.

Days 81–90: Executive readout

Keep simple.

1. Baseline.

2. Changes made.

3. Current query coverage.

4. Accuracy.

5. Critical errors.

6. Source coverage.

7. Commercial signals.

8. Limitations.

9. Next 90 days.

No 60-page deck.

Raw evidence attached.

Decision:

Scale?

Maintain?

Fix governance?

Expand platform?

Build product feed?

PR?

No decision means program incomplete.

What metrics after 90 days?

Five primary.

Buyer Query Coverage.

Material Answer Accuracy.

Critical Error Count.

Current Evidence Coverage.

Commercial/Operational Signal.

Secondary:

Citation.

Source diversity.

Referral.

Shortlist.

Freshness.

Correction velocity.

Paid separate.

No single “AI score.”

What should not happen in 90 days?

500 articles before audit.

30 fake media.

Buy backlinks marketed as AI citations.

Mass llms.txt experimentation for Google.

Schema stuffing.

Fake reviews.

Generate location pages without locations.

Guarantee ChatGPT recommendation.

Change methodology after seeing result.

Publish client data.

Ignore SEO.

Google 2026 guidance directly rejects several “generative AI hacks” and says foundational SEO remains relevant.

No need reinvent web.

Budget allocation example

Not fixed percentage.

But categories:

Audit/measurement.

Technical.

Canonical content.

Evidence.

PR/source correction.

Dynamic data.

Governance.

Tools.

Don't spend all on tools.

Tool cannot create missing evidence.

Don't spend all on content.

Wrong source remains.

Don't spend all on PR.

Official page remains vague.

Balanced.

What companies should extend beyond 90 days?

Enterprise.

Regulated.

Multi-location.

Large catalog.

High-stakes.

International.

They need ongoing.

Monthly monitoring.

Quarterly audit.

Regulation watch.

Source freshness.

Product data.

AI platform changes.

90 days is foundation.

Not finish.

What if result doesn't improve?

Good question.

Check.

Were critical pages crawlable?

Did source gaps remain?

Were queries realistic?

Was brand fit?

Did product/evidence support shortlist?

Were changes too recent?

Did platform update?

Was measurement stable?

Maybe no short-term change.

Don't manufacture.

Continue if business case.

Stop tactic that has no evidence.

AI Visibility program must have kill criteria too.

What if brand already strong?

Then focus accuracy and risk.

High visibility increases consequence of wrong facts.

Strong brand may need less content, more governance.

What if company is small?

Scale down.

10 query.

10 claims.

5 pages.

Business Profile.

Correction.

No enterprise dashboard.

90-day framework is modular.

The principle matters.

Not project size.

A good 90-day program should make company smarter even if AI ranking doesn't change.

At day 90, company should know:

What buyers ask.

What AI says.

Which source shapes answers.

Where facts conflict.

Which claims lack evidence.

Who owns correction.

What visibility can be measured.

What cannot be concluded.

That organizational knowledge has value itself.

AI Search will continue changing.

Specific models and interfaces may change.

But a company that knows its public truth and buyer questions is more resilient.

So don't define success as:

“We entered ChatGPT.”

Define success as:

“We built a repeatable system to understand and improve how our business is represented in AI-assisted discovery, without pretending we control the engine.”

That is a 90-day program worth funding.