SEO and GEO: best practices for being found in search and cited by AI

SEO is still the base layer. If a page cannot be crawled, understood, trusted, and selected by Google or Bing, it usually will not perform well anywhere else either.

GEO, short for Generative Engine Optimization, adds a second job: make the same content easy for AI answer engines to understand, summarize, and cite. That matters because more searches now end inside an AI answer, a Copilot-style assistant, ChatGPT Search, Perplexity, or Google's AI features. The click is no longer the only possible win. Sometimes the win is being named as the source that shaped the answer.

SEO and GEO in one sentence

SEO helps a page rank in search results. GEO helps a page become useful evidence inside generated answers.

That difference sounds small until you look at the user journey. A classic search result page asks the user to choose a blue link. An AI answer often gives the user a first draft of the answer immediately, then shows citations or source cards. If your page is not structured well enough to be extracted, it may still rank somewhere, but it will be less likely to shape the generated answer.

What good SEO still requires

The boring SEO work did not become obsolete. If anything, GEO makes the basics less negotiable.

1. Make pages crawlable and indexable

Search engines and AI search systems cannot cite what they cannot fetch. Check the basics before writing another content calendar:

• important pages return 200, not soft 404 or redirect chains
• canonical tags point to the real canonical URL
• XML sitemaps include the pages you care about
• robots.txt does not block useful content by accident
• JavaScript does not hide the main content from crawlers

Impact example: a comparison article blocked by robots.txt may still be shared on social media, but it will not reliably appear in search or AI answer citations. You have written content that machines are not allowed to read.

2. Match intent, not just keywords

Classic keyword targeting often stops at "what phrase has volume?" Better SEO asks what the searcher wants to do next.

For example, the keyword "SharePoint eSignature" can mean several things:

• "What is it?"
• "How do I enable it?"
• "What does it cost?"
• "How does it compare with Adobe Sign?"
• "Why does it not work in my tenant?"

Those should not all be one giant article. They are different intents. A hub page can introduce the topic, then link to specific pages for setup, licensing, comparison, and troubleshooting.

Impact example: splitting intent cleanly usually improves internal linking, snippet relevance, and conversion. It also gives AI systems more precise source material. A troubleshooting answer can cite the troubleshooting page instead of a generic overview.

3. Put the answer near the top

A useful page does not make the reader wait six paragraphs for the answer. Start with the practical conclusion, then add detail.

Bad opening:

In today's digital landscape, search visibility is a crucial factor for business success.

Better opening:

GEO does not replace SEO. It extends it. You still need crawlable, helpful pages, but you also need content that AI systems can quote, verify, and connect to named entities.

Impact example: direct openings are better for featured snippets, AI summaries, and impatient humans. Everybody wins.

4. Use structured data where it fits

Structured data does not magically rank a weak page. It does help machines understand what a page represents.

Useful schema types for many blogs and business sites include:

• Article or BlogPosting for editorial content
• FAQPage where the FAQ is visible on the page and genuinely useful
• HowTo where the page contains real step-by-step instructions
• Product, Review, or Offer for ecommerce pages where the markup matches the visible content
• Organization and Person to clarify the publisher and author

Impact example: if an article has author, publication date, headline, image, and FAQ markup, search engines have clearer machine-readable context. AI systems still evaluate the text, but they have fewer reasons to guess who wrote it and what the page is about.

5. Build topical authority with internal links

One article rarely proves expertise. A cluster does.

A practical structure:

• hub page: "Microsoft 365 eSignature guide"
• support page: setup instructions
• support page: licensing and limitations
• support page: comparison with Adobe Sign and DocuSign
• support page: troubleshooting
• support page: governance and audit trail

Impact example: the hub captures broad intent, while support pages capture specific intent. Internal links tell search engines which page owns which question. AI answer engines get a cleaner map of your expertise.

6. Show real experience

Generic text is cheap now. Experience is harder to fake.

Use screenshots, configuration notes, before-and-after examples, limitations, failed attempts, pricing caveats, test data, and real decision criteria. If you have not tested something, say so. If you have tested it, show what you saw.

Impact example: a hands-on setup guide with screenshots and exact error messages is more likely to be useful than a generic "benefits of X" article. It is also easier for AI systems to cite because it contains specific, attributable evidence.

What GEO adds on top

GEO is not a bag of tricks for fooling AI. The useful version is simpler: write and structure content so answer engines can extract the right facts without flattening the meaning.

1. Write answer blocks

Add compact answer blocks under important headings. A good answer block is two to four sentences and can stand on its own.

Example:

GEO is the practice of making content easier for generative answer engines to understand, summarize, and cite. It builds on SEO basics such as crawlability, helpful content, structured data, and authority. The extra work is in clarity: direct answers, named entities, evidence, citations, and content sections that map to real questions.

Impact: answer blocks increase the chance that an AI system extracts the correct summary instead of stitching together a vague one from scattered paragraphs.

2. Make entities explicit

AI systems reason heavily over entities: products, people, companies, locations, standards, dates, tools, and relationships between them.

Weak phrasing:

The tool can be connected to the system for automation.

Better phrasing:

Microsoft Power Automate can connect SharePoint document libraries with Microsoft 365 eSignature workflows, subject to tenant availability and licensing.

Impact: explicit entities make your content easier to match with a user's question. They also reduce ambiguity in AI-generated summaries.

3. Add evidence that can be cited

AI answers are more useful when they can point back to proof. Give them proof.

Good evidence includes:

• screenshots of settings, reports, or search results
• tables with dates, limits, prices, or feature differences
• examples with inputs and outputs
• links to official documentation
• clearly labelled opinions separated from facts

Impact: pages with concrete evidence are more likely to be treated as useful sources. They also convert better when users click through, because the page has substance beyond the summary.

4. Cover follow-up questions

People ask AI tools conversational questions. Your page should answer the follow-ups a human would naturally ask.

For this article, the follow-ups are obvious:

• Is GEO replacing SEO?
• Do I need a separate GEO strategy?
• Should I allow AI crawlers?
• Does schema markup help with AI answers?
• How do I measure GEO impact?

A short FAQ section is not just an SEO trick. It is a map of the conversation around the topic.

Impact: follow-up sections help long-tail search, internal site search, and AI extraction. They also keep readers on the page because the next question is already answered.

5. Control crawler access deliberately

Robots.txt is now more strategic. Googlebot, Bingbot, OAI-SearchBot, GPTBot, PerplexityBot, and other agents do not all mean the same thing. Some crawl for search indexing, some for answer retrieval, some for model training, and policies change.

The practical rule: decide what you want to allow, document it, and verify it in logs.

Impact: blocking every AI-related crawler may protect content from some uses, but it can also reduce visibility in AI search products. Allowing everything may expose pages you did not intend to promote. Treat it like a publishing decision, not a copy-paste robots.txt snippet from someone on LinkedIn.

6. Keep facts fresh and dated

AI systems can surface old content confidently. That is dangerous when your page covers pricing, licensing, APIs, or product limitations.

Add visible update dates. Keep outdated screenshots labelled. Add "tested with" notes where it matters.

Example:

Tested with Microsoft 365 admin center in July 2026. Menu labels may differ between tenants and release rings.

Impact: dates help humans judge reliability. They also give answer systems context when several sources disagree.

Practical SEO checklist

Use this before worrying about GEO:

Practical GEO checklist

Use this after the SEO basics are in place:

How to measure GEO impact

This part is still messy. Traditional SEO gives you impressions, clicks, rankings, and CTR. GEO is harder because AI answers can influence users without sending a click.

I would track four things:

1. Referral traffic from AI surfaces such as Perplexity, ChatGPT, Copilot, Gemini, and other answer engines where visible in analytics.
2. Server log hits from search and AI crawlers on important pages.
3. Manual citation checks for priority topics: ask the same questions monthly and record which sources appear.
4. Branded search changes after AI visibility increases. If people see your brand in an answer, they may search for you later instead of clicking the citation immediately.

Do not overclaim precision here. GEO measurement is directional. That is still useful if you track it consistently.

A concrete before-and-after example

Imagine a page targeting "best document signing option for Microsoft 365".

Weak SEO/GEO version:

There are many electronic signature solutions available today. Choosing the right one depends on your business requirements. Microsoft, Adobe, and DocuSign all offer useful capabilities.

Better version:

For organizations already standardized on Microsoft 365, Microsoft 365 eSignature is worth checking first because it keeps signing workflows close to SharePoint and the Microsoft admin model. Adobe Acrobat Sign and DocuSign are stronger when you need mature external workflows, broader integrations, or advanced agreement lifecycle features. The best choice depends on licensing, compliance requirements, recipient experience, and whether signatures should stay inside Microsoft 365.

Then add:

• a comparison table
• screenshots of the Microsoft 365 admin setup
• a licensing note with date
• links to official Microsoft, Adobe, and DocuSign docs
• a short FAQ: "Is Microsoft 365 eSignature included in E3?", "Can external recipients sign?", "Where are audit trails stored?"

Impact: the improved version can rank for search, serve as a comparison snippet, and give AI tools a clear, balanced answer to cite.

Why GEO is worth doing

GEO is worth doing because search behavior is changing faster than most content teams admit. Users still click links, but they also ask AI systems for summaries, comparisons, recommendations, and troubleshooting steps. If your content only works as a blue link, you are betting that the old journey stays dominant.

The good news: most GEO work improves the page for humans too. Direct answers, better structure, clearer evidence, visible dates, and better examples are not hacks. They are good publishing hygiene.

The bad version of GEO will be spammy: pages stuffed with fake FAQs, keyword variants, and robotic definitions written for bots. That will age badly.

The useful version is more honest: make expert content easier to verify, quote, and trust.

My take

I would not build a separate "GEO team" before fixing basic SEO. That is backwards. Start with crawlable, useful, well-linked pages. Then add answer-ready sections, explicit entities, evidence, and crawler policies.

SEO gets you into the index. GEO helps you survive the answer layer.

Sources worth reading

• Google Search Central: SEO Starter Guide
• Google Search Central: Creating helpful, reliable, people-first content
• Google Search Central: Introduction to structured data
• Google Search Central: AI features and your website
• OpenAI Platform docs: Overview of OpenAI crawlers
• Perplexity docs: Perplexity crawlers