SEO, AEO, GEO – What’s the Difference? How to get found.

Michael Grimm on June 1, 2026

What Actually Gets a Business Found Online in 2026

There is an enormous amount of junk being published about SEO, AEO, and GEO right now.

Some of it is outdated SEO advice with a new acronym attached. Some of it is written to sell software. Some is designed to make ordinary marketing work sound mysterious enough to justify an agency retainer. And some of it encourages businesses to manufacture signals of authority rather than actually becoming authoritative.

The underlying question is much simpler:

What has to be true for a search engine, AI assistant, or prospective customer to find your business, understand it, believe it, and choose it?

Once you frame the problem that way, most of the mystery disappears.

For this article:

SEO — Search Engine Optimization: getting pages discovered, understood, indexed, ranked, and clicked in traditional search.
AEO — Answer Engine Optimization: making information easy to retrieve and use as a direct answer to a question.
GEO — Generative Engine Optimization: making your business and content useful as sources for AI-generated answers, recommendations, comparisons, and research.
Local SEO: making a business eligible, relevant, prominent, and accurate in location-sensitive search, Maps, and local discovery.

If you operate an app, ASO — App Store Optimization — is another separate discipline. It should not be confused with AEO.

The terminology will continue to evolve. The operating principles are much more important than the acronyms.

First, a reality check: GEO is not magic SEO for robots

One of the most important facts being obscured by the flood of GEO services is this:

Google says you do not need special AI optimization to appear in AI Overviews or AI Mode.

There is no secret AI schema.

There is no special markup required for GEO.

There is no special file you must create for Google.

There is no magical block of text that tells an AI system to recommend your company.

For Google’s AI search experiences, the foundation is still:

Crawlability
Indexability
Internal linking
Useful content
Good page experience
Accessible textual information
Accurate structured data
Fresh business and merchant information
Relevance to the query

That does not mean GEO is meaningless.

It means GEO is better understood as an additional visibility and measurement layer built on top of good information architecture, SEO, reputation, and content—not as a replacement for them.

The same is increasingly true elsewhere.

Microsoft now provides website owners with AI-specific reporting showing when pages are cited in generative answers, which URLs are cited, and even some of the “grounding queries” that caused those pages to be retrieved.

ChatGPT Search similarly needs to be able to access your website before your pages can participate in web-based answers.

The technology is different.

The fundamentals are surprisingly familiar.

The Seven Things That Actually Matter

Strip away the acronyms and most online discovery comes down to seven jobs:

Eligibility
Clarity
Relevance
Evidence
Corroboration
Freshness
Measurement

That is a much more useful framework for a business than asking whether it has “done GEO yet.”

1. Eligibility: Can the systems even access you?

Before optimizing anything, make sure you are eligible to appear.

This is boring technical work.

It is also foundational.

For a normal business website, check things like:

Is Google able to crawl the site?
Is Bing able to crawl it?
Are important pages accidentally blocked by robots.txt?
Are important pages marked noindex?
Are canonical tags correct?
Are pages returning the correct HTTP status codes?
Is there an XML sitemap?
Has the site been verified in Google Search Console?
Has it been verified in Bing Webmaster Tools?
Can important pages be reached through internal links?
Is important information actually available as text rather than only inside graphics?
Is the site usable on mobile devices?
Are there serious rendering or performance problems?

If you want your public pages available to ChatGPT Search, make sure OAI-SearchBot is not being blocked by your website, hosting company, firewall, or CDN.

That is different from GPTBot, which relates to potential model training. A publisher can make different choices about search visibility and training access.

For retailers and ecommerce businesses, eligibility also extends beyond webpages.

Product catalogs, inventory, pricing, merchant feeds, availability, and other structured commerce data increasingly matter because discovery systems can retrieve products directly instead of merely retrieving pages about products.

Before asking:

“How do we rank in AI?”

Ask:

“Can the systems we care about reliably retrieve our information?”

2. Clarity: Can a machine tell exactly what your business is?

Many websites fail here.

The homepage looks attractive but says almost nothing.

Innovative solutions for tomorrow.

Your partner in success.

Excellence without compromise.

Those are slogans, not information.

Your website should make basic facts embarrassingly obvious:

What is the legal or public-facing name of the business?
What does it sell?
What services does it provide?
Who are those services for?
Where does it operate?
Does it have physical locations?
Who works there?
What specialties does it have?
What credentials does it hold?
How long has it existed?
How does someone hire or buy from it?
How can someone contact it?

Think about this from the perspective of an AI system trying to answer:

“Who are reputable commercial auction companies in Virginia that handle business liquidations?”

or:

“Find a custom home designer around Lake Gaston who specializes in lakefront construction.”

Could a system confidently determine whether your company belongs in the answer?

Or would it have to infer that from vague marketing language?

Make your business an unambiguous entity

That means maintaining:

A strong About page
Real team pages
Service pages
Location information
Credentials
Licenses where relevant
Organization information
Consistent names and terminology
Relevant structured data
Consistent social and directory profiles

Clarity is optimization.

3. Relevance: Have you actually answered what people want to know?

This is where traditional keyword research becomes buyer research.

A prospective customer rarely thinks:

“I need more keyword-optimized content.”

They think:

How much will this cost?
How long will this take?
Who should I hire?
What’s the difference between these options?
What could go wrong?
What should I ask before signing?
Do I even need this?
Who does this near me?
Can this company handle a project like mine?
What’s included?
What’s not included?
Is there a cheaper alternative?
Is the expensive option worth it?

Those questions should determine much of your content architecture.

Build pages around the buying decision

A serious business site should usually contain some combination of:

Service pages

One strong page for each meaningful service.

Problem pages

Content around problems customers are trying to solve.

Comparison pages

For example:

Auction vs. traditional real estate listing
Architect vs. residential designer
In-house marketing vs. fractional CMO
Live auction vs. online auction
Repair vs. replacement

Pricing and cost content

Even when you cannot publish fixed pricing, explain:

Typical ranges
Pricing models
What drives cost up or down
What is included
What buyers frequently overlook

Process content

Explain what happens:

Before hiring
After signing
During the project
At completion

FAQ content

Not because FAQ schema is some magical ranking hack.

Because buyers have questions.

Answer them.

Case studies

Show how the service works in the real world.

Decision guides

Help customers determine whether something is appropriate for them.

AEO becomes much less mysterious when you approach it this way.

Write the best answer to the question the customer is actually asking.

4. Evidence: Stop saying you’re good. Prove it.

This is one of the biggest opportunities for legitimate businesses.

The internet is drowning in assertions.

Trusted.

Experienced.

Award-winning.

Industry-leading.

Full-service.

Customer-focused.

Results-driven.

Those words carry very little informational value on their own.

Anyone can type them.

What is much harder to manufacture is evidence.

Useful evidence includes:

Original photographs
Project galleries
Before-and-after examples
Case studies
Actual results
Real timelines
Real prices or pricing examples
Original research
Proprietary data
Customer interviews
Testimonials
Reviews
Credentials
Licenses
Certifications
Awards from legitimate organizations
Speaking engagements
Professional association involvement
Press coverage
Years in business
Named staff
Published expertise
Videos showing the work being performed

This is becoming more important, not less, because AI can generate the generic portion of almost any article.

Anybody can publish:

“10 Tips for Choosing an Auctioneer.”

Far fewer can publish:

“We analyzed 214 business-liquidation auctions and found these five factors had the strongest relationship with bidder registrations.”

That is a source.

And sources are increasingly valuable.

5. Corroboration: Does anyone besides you say you’re credible?

Your own website is a claim.

The broader web provides corroboration.

If your website says you are a leading organization but almost no independent source acknowledges that you exist, the claim is difficult to verify.

Real-world businesses naturally leave evidence across the internet.

That might include:

News coverage
Professional associations
State licensing databases
Conference speaker pages
Chamber memberships
Customer websites
Vendor websites
Event pages
Sponsorships
Nonprofit organizations
Universities
Municipal websites
Podcasts
Industry publications
Business directories
Real reviews
Social accounts
YouTube appearances
Academic or professional citations

This is where the old SEO concept of “authority” intersects with something much more useful:

Can independent sources corroborate the claims this business makes about itself?

That is a much healthier objective than obsessing over an invented third-party metric such as Domain Authority.

6. Freshness: Is the information still true?

AI retrieval makes stale information especially visible.

A website saying one thing while Google Business Profile, LinkedIn, Yelp, an industry directory, and an old press release say five different things creates ambiguity.

Businesses should maintain:

Current hours
Current phone numbers
Current addresses
Current team members
Current pricing where published
Current products
Current inventory
Current service areas
Current credentials
Current policies
Current availability
Current business descriptions

For ecommerce, inventory and product-feed freshness can directly affect discoverability.

For local businesses, place information matters.

For informational content, update material when the underlying facts change.

Freshness is not about changing the publication date on an old article every three months.

It is about keeping information true.

7. Measurement: Measure discovery, not just rankings

This may be the biggest practical shift.

For twenty years, marketers could reduce search performance to metrics such as:

Ranking
Impressions
Clicks
CTR
Sessions

Those still matter.

But discovery can now happen without a traditional click.

A customer may:

Ask an AI assistant a question.
Receive a synthesized answer.
Learn your company exists.
Search your company name.
Read your reviews.
Visit your website directly.
Call.

Traditional attribution may credit that conversion to “Direct” or branded search even though AI initiated discovery.

Businesses therefore need a wider measurement stack.

Traditional SEO

Track:

Impressions
Clicks
CTR
Search queries
Landing pages
Indexation
Conversions
Revenue
Conversion rate

AI / GEO visibility

Where tools make the information available, track:

AI impressions
Citations
Cited URLs
Grounding queries
Assistant referral sessions
Brand mentions
Referral conversions

Microsoft’s Bing Webmaster Tools now exposes several of these directly, including citations, cited pages, and grounding queries.

Google has also begun rolling out dedicated reporting for visibility within its generative AI search experiences to some Search Console properties.

ChatGPT Search referral links include utm_source=chatgpt.com, allowing that traffic to be segmented in analytics.

Local SEO

Track:

Search visibility
Profile views
Website clicks
Calls
Direction requests
Bookings
Messages or other profile actions
Review quantity
Review recency
Review quality
Local landing-page conversions

And always connect visibility metrics to:

Leads
Qualified leads
Sales
Revenue
Customer acquisition cost

A citation is not a sale.

A ranking is not a sale.

Traffic is not a sale.

The business outcome is still the point.

Local SEO Is Its Own Battlefield

Local SEO deserves special attention because physical geography changes the rules.

Google describes its principal local-ranking factors as:

Relevance
Distance
Prominence

That creates an important limitation agencies do not always emphasize:

You cannot SEO your way out of being 75 miles away from the customer.

You can improve relevance.

You can improve prominence.

You cannot manufacture proximity.

What businesses can actually improve

Relevance

Make Google understand exactly what the business provides.

Maintain:

Correct primary category
Appropriate secondary categories
Services
Products
Description
Hours
Website
Phone
Attributes
Photos
Accurate location information

Prominence

Build a genuinely prominent business.

That can include:

Reviews
Relevant links
News coverage
Local citations
Association memberships
Community participation
Strong organic search visibility
Well-known projects
Public events
Sponsorships
Partnerships

Notice something about that list.

The best Local SEO increasingly looks like running a business people know about.

Distance

Accept reality.

If geographic coverage matters strategically, the legitimate solution may eventually involve:

Another office
Another staffed location
A different service model
A broader regional brand
Better targeting of markets you can actually serve

Not another SEO plugin.

What About AEO?

The useful idea behind AEO is straightforward:

Make the answer easy to find, understand, extract, and verify.

That does not mean every paragraph needs to be converted into:

Q: What does an auctioneer cost?
A: An auctioneer costs…

That quickly becomes content written for machines instead of people.

Instead:

Use descriptive headings.
Answer questions early.
Define unfamiliar terminology.
Use tables when comparison is genuinely easier in a table.
Use ordered steps for processes.
Use lists where lists improve comprehension.
Provide numbers when you have numbers.
Explain qualifications and exceptions.
Cite primary sources when claims depend on external facts.
Keep answers self-contained enough to make sense when extracted.
Link to deeper supporting material.

Good information architecture is good AEO.

What About GEO?

GEO becomes useful when you stop thinking about “ranking in ChatGPT” as if ChatGPT had ten blue links.

Generative systems can:

Retrieve information
Combine multiple sources
Summarize those sources
Compare alternatives
Cite sources
Recommend entities
Perform additional searches
Reformulate the user’s original question
Personalize answers around context

So your goal is not merely:

Rank #1.

It is more like:

Be one of the best available pieces of evidence for the answer.

That favors content with:

Clear facts
Original information
Direct answers
Evidence
Specificity
Strong entity identification
Accurate dates
Quotable definitions
Useful tables
Primary-source information
Case studies
Original research
Relevant third-party corroboration

That is a much more defensible GEO strategy than stuffing “AI-friendly” phrases into pages.

The Manufactured-Authority Industry

Now we get to the uncomfortable part.

Search engines and humans both use signals to estimate credibility.

Once a signal becomes valuable, someone starts selling a way to manufacture it.

This has happened repeatedly.

Legitimate signal	Manufactured substitute
Real customers recommend you	Buy reviews
Relevant sites cite your work	Buy backlinks
Journalists cover something newsworthy	Buy pseudo-news placements
Experts write useful content	Generate hundreds of generic articles
Real publications recognize expertise	Pay for vanity awards
Customers discuss your company	Manufacture forum conversations
People follow your work	Buy followers
Businesses cite your research	Create fake citations
Local reputation grows	Spam directories and location pages
A respected publication publishes relevant work	Rent its domain authority
Real experience creates expertise	Invent author credentials
Strong information architecture aids retrieval	Stuff pages with fake FAQ blocks
AI systems independently mention a brand	Manufacture artificial mentions

The underlying pattern is always the same:

Find a signal correlated with credibility, then manufacture the signal without creating the underlying credibility.

That can work temporarily.

It is not the same thing as building authority.

Manufactured Authority Tactic #1: Buying “Domain Authority”

Domain Authority, Domain Rating, Authority Score, and similar metrics can be useful competitive-analysis indicators.

They are not Google rankings.

They are not government-issued certifications of website credibility.

And they are not proof that customers trust a business.

Yet an entire industry sells:

“50 DA 60+ backlinks.”

That gets the causal relationship backwards.

Strong websites tend to earn links.

Therefore, link metrics tend to correlate with successful websites.

The bad interpretation is:

If we manufacture enough things that look like links from strong websites, we become authoritative.

Sometimes a legitimate business pays for sponsorship, advertising, distribution, PR, or placement. Payment alone does not make something fraudulent.

The important distinction is intent and representation.

Buying or manufacturing links primarily to manipulate search ranking is very different from earning citations because the business, research, resource, event, partnership, or story is worth referencing.

Manufactured Authority Tactic #2: Scaled AI Sludge

Generative AI has made it possible to create 500 mediocre articles for approximately the cost and effort previously required to create five.

That does not mean a business should.

The relevant distinction is not:

Human content vs. AI content.

It is:

Useful content vs. content created primarily to manufacture search inventory.

AI can be extremely useful for:

Research assistance
Outlining
Transcription
Editing
Content repurposing
Data analysis
Summarization
Structuring subject-matter expert interviews
Draft assistance

The failure mode is:

“Generate 1,000 articles targeting every keyword in this spreadsheet.”

Google explicitly identifies scaled production of low-value pages for ranking manipulation as spam, regardless of whether humans or AI created them.

The cure is not “human-written content.”

The cure is content worth publishing.

Manufactured Authority Tactic #3: Parasite SEO and Reputation Renting

Another shortcut is borrowing someone else’s authority.

A high-authority publisher allows unrelated commercial pages onto its domain.

Those pages rank partly because they inherit signals associated with the host.

Then somebody sells access to that advantage.

Google calls the abusive version site reputation abuse.

Again, nuance matters.

Guest articles are not inherently bad.

Sponsored content is not inherently bad.

Partnerships are not inherently bad.

Publishing on someone else’s website is not inherently bad.

The problem arises when the primary value proposition is essentially:

“Google trusts this domain, so put your commercial page here and exploit that trust.”

That is rented authority rather than earned authority.

Manufactured Authority Tactic #4: Fake Reviews

Fake reviews are not merely cheesy marketing anymore.

They can create legal exposure.

The FTC’s Consumer Review Rule prohibits several practices involving fake or deceptive reviews, including buying fake reviews and conditioning incentives on a particular positive or negative sentiment.

It also addresses:

Undisclosed insider reviews
Fake testimonials
Company-controlled websites pretending to provide independent reviews
Certain forms of review suppression
Fake social-media indicators

The legitimate alternative is not complicated:

Ask real customers for honest reviews.

Systematize it.

Make it easy.

Follow up.

Respond professionally.

Fix recurring complaints.

That creates real reputation.

Manufactured Authority Tactic #5: Review Gating

Review gating is the practice of effectively dividing customers into:

Happy? Go review us publicly.

Unhappy? Tell us privately.

The temptation is obvious.

So is the problem.

A business should absolutely provide an easy private path for resolving problems.

But that should not be used deceptively to suppress or selectively divert negative public feedback.

The healthier system is:

Invite genuine feedback.
Make public review opportunities available appropriately.
Give dissatisfied customers an obvious way to contact the business.
Actually solve problems.
Learn from negative feedback.

Your review program should improve the business’s reputation.

Not merely improve the appearance of its reputation.

Manufactured Authority Tactic #6: Fake Awards and “As Seen In” Logos

There are legitimate awards.

There are also companies whose actual business model is selling the appearance of having won one.

Likewise:

As Seen In Forbes / NBC / CBS / FOX

can mean anything from substantial editorial coverage to syndicated boilerplate that nobody at the publication meaningfully evaluated.

Before treating recognition as authority, ask:

Who selected the winner?
Based on what?
Was there independent judging?
Could almost anyone pay to participate?
What exactly did the publication say?
Was this editorial coverage or paid placement?
Would a reasonable customer interpret the badge differently if they knew how it was obtained?

Marketing should communicate evidence accurately.

Not exploit the fact that customers will assume more than the fine print actually says.

Manufactured Authority Tactic #7: Thin Location Pages

There is nothing wrong with creating:

Commercial Auction Company in Richmond, Virginia

if you genuinely serve Richmond and have meaningful Richmond-specific information.

The abuse is generating:

Auctioneer Richmond
Auctioneer Chesterfield
Auctioneer Henrico
Auctioneer Petersburg
Auctioneer Ashland
Auctioneer Midlothian
Auctioneer Short Pump
Auctioneer Mechanicsville

with essentially the same 800 words and a different city name.

Useful location pages might contain:

Projects completed there
Local customers
Market-specific expertise
Photos
Relevant regulations
Staff serving that market
Travel considerations
Local testimonials
Location-specific FAQs
Actual local resources

The question is simple:

Would this page deserve to exist if Google did not exist?

If the answer is no, reconsider why you are publishing it.

Manufactured Authority Tactic #8: Schema as a Magic Trick

Structured data is useful.

Use it.

But schema describes reality.

It does not create reality.

Adding Person schema does not make someone an expert.

Adding Organization schema does not make a company prominent.

Adding Review markup does not make reviews credible.

Adding FAQ markup does not turn generic content into the best answer.

And there is no special “GEO schema” required to appear in Google’s AI results.

Think of structured data as a labeling system, not a reputation machine.

Manufactured Authority Tactic #9: Fake Reddit, Quora, and Forum Consensus

This one deserves considerably more scrutiny in the AI era.

Someone realizes that AI systems may retrieve forums when answering questions such as:

“What is the best CRM for auction companies?”

The marketer’s response becomes:

“Great. Let’s manufacture forum posts saying ours is best.”

That may involve:

Fake personas
Purchased accounts
Coordinated comments
Undisclosed employees
Artificial questions
Fake testimonials
AI-generated conversations
Manufactured consensus

This attempts to poison the very third-party evidence buyers and retrieval systems use to escape marketing claims.

The legitimate alternative is:

Participate transparently.
Be useful.
Answer real questions.
Correct misinformation.
Let actual customers speak.
Disclose material relationships.

Manufactured Authority Tactic #10: Treating AI Citations as an Authority Score

This may become the next version of Domain Authority.

A dashboard says:

Your company received 183 AI citations this month.

Great.

What does that actually mean?

Microsoft explicitly cautions that its citation reporting reflects how often pages are referenced. It does not necessarily indicate:

Ranking
Importance
Placement
Persuasiveness
Sentiment
Conversion

A page could be cited because an AI system is saying:

“This company’s claim is incorrect.”

A competitor might receive fewer citations but substantially more business.

Do not convert a useful diagnostic into another vanity metric.

Measure citations.

Then measure what happens next.

Real Authority vs. Manufactured Authority

Area	Real authority	Manufactured authority
Expertise	Real practitioners explain what they know	Invented experts and generic bios
Content	Original insight, examples, evidence	Scaled commodity content
Links	Relevant organizations naturally cite the business	Link networks and ranking-oriented purchases
Press	Genuine editorial interest	Pseudo-news placements sold as prestige
Reviews	Real customers describe real experiences	Purchased, fabricated, gated, or deceptive reviews
Social proof	Real audiences and communities	Purchased followers, likes, views, and comments
Awards	Meaningful third-party recognition	Pay-to-play vanity badges
Local presence	Actual market experience and reputation	Hundreds of cloned city pages
Case studies	Named problems, process, evidence, results	Vague success claims
Data	Original research or transparent sources	Invented statistics
Schema	Machine-readable description of real information	Markup used to imply things that aren’t true
AI visibility	Useful information retrieved and cited organically	Attempts to manufacture mentions or consensus
Reputation	Other people have reasons to trust you	You purchase things that look like trust

So What Should a Business Actually Do?

If I were building a modern discovery program for a normal business, I would prioritize work roughly in this order.

Phase 1: Make the business technically discoverable

Set up Google Search Console.
Set up Bing Webmaster Tools.
Submit and validate sitemaps.
Check indexation.
Check canonicalization.
Fix broken pages and redirect problems.
Confirm important content is crawlable.
Check robots directives.
Confirm important information is available as HTML text.
Check mobile usability and page performance.
Allow relevant AI search crawlers when you want participation.
Set up analytics and conversion tracking.

Phase 2: Make the business unmistakably understandable

Build or repair:

Homepage
About page
Team pages
Contact page
Service pages
Location pages
Credentials
Licenses
Organization information
Business categories
Service-area information

Then make terminology consistent everywhere.

Phase 3: Build the money pages

Before publishing an endless blog:

Create outstanding pages for the services people actually buy.

Each should address:

What it is
Who needs it
Problems it solves
Process
Pricing considerations
Timeline
Deliverables
Alternatives
FAQs
Proof
Examples
Next step

Phase 4: Capture the buying conversation

Collect questions from:

Sales calls
Customer emails
Search Console
Sales staff
Support tickets
Reviews
Competitor research
Reddit and forums
AI assistant conversations
Google autocomplete and related queries

Turn the best questions into:

Service-page sections
Articles
Comparisons
Guides
Videos
FAQs
Tools
Calculators
Checklists
Case studies

Do not publish content merely because a keyword tool says the phrase gets 90 searches per month.

Publish it because helping someone answer that question can move them toward a useful decision.

Phase 5: Turn business activity into proof

This is the part most companies dramatically underutilize.

Every completed project can potentially create:

Photos
Video
A testimonial
A case study
A review
Statistics
A lesson
A before-and-after
A customer question
A social post
An article
A portfolio entry

Instead of continuously manufacturing more generic “content,” document more of the work the company is already doing.

Phase 6: Build a real reputation system

Create processes for:

Asking customers for honest reviews
Responding to reviews
Resolving complaints
Capturing testimonials
Publishing case studies
Maintaining professional memberships
Pursuing legitimate awards
Participating in industry organizations
Speaking and teaching
Contributing original research
Building media relationships
Participating in the local community
Building partnerships

This is SEO.

This is Local SEO.

This is GEO.

It is also called building a reputable company.

Phase 7: Optimize local discovery

For local businesses:

Completely optimize Google Business Profile.
Maintain Apple and other relevant place listings.
Choose categories carefully.
Keep hours accurate.
Keep contact information accurate.
Add useful photos.
Add services and products.
Maintain review velocity.
Respond to reviews.
Build useful local pages.
Earn locally relevant mentions.
Track calls, directions, bookings, and website visits.
Accept that distance remains a real ranking constraint.

Phase 8: Instrument AI discovery

Do not guess.

Measure.

In Bing Webmaster Tools

Monitor:

AI citations
Cited pages
Grounding queries
Citation trends

In Google Search Console

Use generative-AI visibility reporting if and when it is available to your property.

In web analytics

Segment:

utm_source=chatgpt.com

and other identifiable AI-assistant referrals.

In your CRM

Add:

How did you first hear about us?

with appropriate options for:

Google
ChatGPT
Gemini
Copilot
Perplexity
Social media
Referral
Other

This captures discovery that click attribution misses.

A Better 90-Day Plan

Days 1–30: Establish the substrate

Audit:

Crawlability
Indexation
Sitemaps
Analytics
Conversions
Business listings
Google Business Profile
Bing
AI crawler accessibility
Services
Locations
Structured data
Business information consistency

Fix the obvious failures first.

Days 31–60: Improve the information

Build or substantially improve:

Core service pages
About/team pages
Location pages
FAQs
Pricing explanations
Comparison pages
Case studies
Customer proof
Internal links

Prioritize pages closest to revenue.

Days 61–90: Build the evidence network

Develop systems for:

Reviews
Case studies
PR
Partnerships
Community involvement
Industry participation
Original research
Videos
Customer stories
Local citations

Then establish reporting across:

Traditional search
Local search
AI citations
AI referrals
Leads
Revenue

At the end of 90 days, the question should not be:

“Did our Domain Authority increase?”

It should be:

“Are more qualified people finding us, trusting us, and becoming customers?”

The Big Idea

SEO, AEO, GEO, and Local SEO look like separate disciplines because the interfaces are different.

Underneath them is a remarkably consistent system.

A discovery engine needs to determine:

What is this?

Then:

Is it relevant?

Then:

Can I trust this information?

Then:

Is there enough evidence to use or recommend it?

And the customer is asking essentially the same questions.

That is why the most durable optimization strategy is not manufacturing more “authority signals.”

It is creating the underlying reality those signals are supposed to represent.

Be easy to crawl.

Be easy to understand.

Answer real questions.

Show your work.

Publish evidence.

Earn corroboration.

Keep the information current.

Measure whether any of it creates business.

Everything else is implementation detail.

The marketing industry has spent twenty years inventing increasingly sophisticated ways to make websites look authoritative.

AI-driven discovery may ultimately increase the value of doing the opposite:

Become genuinely authoritative, then make the evidence impossible to miss.

Category: Marketing
Tag: AI, Marketing