Key Tactics for GEO and AEO Success: How to Make Your Content Easier for AI Search to Find, Trust and Cite

You publish useful content. Your website explains what you do. You may already rank for some of the searches that matter to your business. Then you ask ChatGPT, Google AI Mode or another AI system the same question a potential customer might ask. Your competitors appear. You do not.

This is the problem Generative Engine Optimization (GEO) and Answer Engine Optimization (AEO) are trying to solve. The industry has already made the subject more complicated than it needs to be, with endless checklists telling businesses to add FAQs, schema, statistics, question headings, backlinks, llms.txt files and dozens of other supposed AI signals. Some are useful. Some are useful for reasons different from what people claim. Others are becoming GEO folklore faster than the evidence can support them.

A more useful approach is to understand what has to happen before an AI system can use your content at all. Your information needs to be discoverable, understandable, credible, extractable and sufficiently relevant to the question being asked. Then you need to measure whether any of that is actually improving your visibility.

What are the key tactics for GEO and AEO success?

Successful GEO and AEO combine strong SEO foundations with clear answers, credible evidence, useful content, technical accessibility, relevant structured data and genuine authority across the web. The goal is not to write for a language model. It is to create information that people and retrieval systems can find, understand, verify and use confidently. No individual tactic guarantees an AI citation, because different systems retrieve and synthesise information differently and source selection changes over time.

Quick takeaways

1. 1Evidence gives AI systems something useful to cite. Original data, credible references and specific facts beat unsupported marketing claims.
2. 2Answer clearly, then add depth. Direct answers under descriptive headings improve extraction, but good GEO does not mean chopping every article into tiny artificial fragments.
3. 3Technical accessibility comes before optimisation. A page that cannot be crawled, indexed or rendered properly has a much harder time participating in retrieval based AI search.
4. 4Schema and mentions support the system, they do not replace good content. Neither structured data nor manufactured third party mentions is a shortcut to AI visibility.

Before GEO: can the AI system find the page at all?

Before discussing citations, snippets or schema, there is a more basic question. Can the relevant system access your content? Many AI search experiences use some form of retrieval or grounding against web information rather than relying solely on a model's pre trained knowledge.

Google says its generative Search experiences use retrieval augmented techniques connected to its Search index, and its official recommendation remains familiar: make important pages crawlable, indexable, technically accessible and easy to use. ChatGPT Search has its own consideration. OpenAI states that publishers wanting their content eligible for inclusion in ChatGPT Search summaries and snippets should allow OAI-SearchBot rather than blocking it. Microsoft similarly recommends maintaining crawlability, sitemaps and freshness signals such as IndexNow.

• Are important pages indexable?
• Are they accidentally blocked in robots.txt or by a noindex directive?
• Is OAI-SearchBot allowed if ChatGPT Search matters to your buyers?
• Do sitemaps reflect the pages you actually want retrieved?
• Is the important content present in accessible HTML rather than locked behind scripts?

Your content has to be discoverable before it can be retrieved, and useful before it is worth retrieving.

Tactic 1: Strengthen authoritative citations, statistics and evidence

Evidence gives a system something concrete to work with. Compare a claim such as our approach significantly improves marketing performance with a statement such as in our 500 run test, the workflow averaged approximately $0.12 per completed prospect before the next optimisation pass. The second has an owner, a number, a context, a methodology that can be explained and limits that can be stated.

What does research say about citations and statistics in GEO?

The original academic paper that introduced Generative Engine Optimization tested several modifications to source content, including adding citations, quotations and statistics. Across its experimental benchmark, GEO methods improved source visibility in generated responses by up to 40 percent, although effectiveness varied considerably by domain and method. That does not mean adding three statistics will make ChatGPT cite you 40 percent more. It means evidence oriented content changes showed meaningful potential within the researchers' experimental setting.

More recent 2026 research looking at citation selection across ChatGPT, Google and Perplexity found that highly influential cited pages tended to be more structured, semantically aligned and richer in extractable evidence such as definitions, numerical facts, comparisons and procedural explanations. The findings are descriptive rather than proof of causation, but they reinforce the value of evidence rich content.

What evidence should you add?

• Original company research and first party operating data
• Customer or market data you have permission to publish
• Survey findings with a stated methodology
• Independent industry reports, government or regulatory information
• Peer reviewed research and product specifications
• Documented processes and transparent calculations
• Named expert commentary where the expert genuinely provided it
• Clear comparisons based on stated criteria

Do not manufacture statistics because numbers look authoritative. Do not cite twenty sources for a claim that needs one strong source. Do not quote experts who never spoke to you. And do not take a statistic from an article that cites another article that cites another article. Go back to the strongest available source. Good GEO evidence is not decoration, it makes a claim easier to verify.

Tactic 2: Give direct, snippet ready answers

Answer the question clearly before making the reader search through six paragraphs. If someone asks whether schema markup helps with GEO, a useful article should not open with a paragraph about the rapidly evolving digital landscape. It should state that schema markup can support GEO by giving search systems structured information about entities and page content, but does not guarantee AI citations, and then explain the nuance.

Use question based headings where they help

• What is Generative Engine Optimization?
• Does GEO replace SEO?
• How does ChatGPT find websites?
• Does schema markup improve AI visibility?
• How do you measure AEO?
• Why are competitors appearing in AI answers instead of us?

But do not turn the entire website into an FAQ

Google explicitly says there is no requirement to break content into tiny pieces so its generative systems can understand it. Use a direct answer where a direct answer is useful, a paragraph when nuance matters, a table when comparison matters, a list when scanning matters and a worked example when understanding matters. Write for the reader first and structure the information so machines do not have to fight the page. Those goals are compatible.

Tactic 3: Improve technical readability and clean formatting

The objective is not to make your page easy for AI scrapers. It is to make the information clear, accessible and structurally unambiguous. A useful page normally has one clear primary topic, a descriptive H1, logical H2 and H3 sections, readable paragraphs, tables for genuine comparisons, lists for scannable information, descriptive link anchors, clear relationships between related pages and consistent information about brands, products and services.

A simple test: if this formatting disappeared, would the information become harder for a person to understand? If yes, it has a purpose. If not, you may be formatting for an algorithm you cannot actually see.

Tactic 4: Build genuine digital PR and off page trust

Your website is not the only place AI systems encounter your company. Digital PR, expert coverage, reviews, interviews, third party comparisons, community conversations and industry references matter in an AI mediated discovery journey. Google acknowledges that its generative Search features may draw on what is said about products and services across the web, including blogs, video and forum discussions, while warning that manufacturing inauthentic mentions is not a useful strategy.

Good off page GEO

• Reviewed by actual customers
• Included in relevant industry comparisons
• Quoted by respected publications
• Discussed in professional communities and specialist podcasts
• Referenced by partners and included in genuine case studies

Bad off page GEO

The same business creates 80 fake accounts, places its brand into irrelevant answers, buys hundreds of low quality listicles and distributes identical best software paragraphs across questionable websites. That is not authority, it is footprint manufacturing, and it is exactly what major search systems are trying to suppress.

Ahrefs' analysis of its own brand presence in AI answers found that third party pages frequently accounted for important brand mentions, sometimes more often than its own site. That is observational evidence rather than a universal ranking rule, but the strategic implication holds: if buyers and independent sources consistently describe your company in a certain way, AI systems have more public evidence available when working out what your company is.

Tactic 5: Use schema markup, but understand what it actually does

Structured data provides machine readable information about page content and entities and remains useful for traditional search features and semantic clarity. It may support the broader machine understanding layer of a website, but it does not guarantee AI citation or inclusion. Google's 2026 generative AI guidance says structured data is not required for generative AI search and there is no special schema.org markup businesses need to add for it.

Which schema types may be useful?

• Organization, to clarify the organisation behind the website
• Article or BlogPosting, for editorial content, dates and authorship
• Product, where a page genuinely represents a product
• Service, to describe a genuine business service
• LocalBusiness, for relevant local entity information
• BreadcrumbList, to clarify page hierarchy
• Person, when a genuine named expert or author is relevant
• FAQPage, where real questions and answers appear on the page

Google stopped showing FAQ rich results in Search in May 2026. That does not make an FAQ section useless, because people still ask questions and clear question and answer content is still helpful. It simply means businesses should stop presenting FAQ schema as a magic visibility feature. Use structured data when it truthfully represents content that actually exists on the page. Never create fake ratings, reviews, authors, offers, locations, credentials or entities. Structured data should clarify reality, not manufacture it.

The principle above all five tactics: create something worth citing

You can execute all five tactics perfectly and still create an unremarkable article. Google now explicitly recommends non commodity content for generative AI visibility: useful material built from actual knowledge, experience, expertise or a distinctive point of view rather than another summary of information already available everywhere. If a model can produce almost the same article without visiting your website, what information are you actually contributing?

• Original benchmarks, internal research and experiments
• Real implementation lessons and proprietary frameworks
• Expert interpretation and primary source interviews
• Market specific analysis and decision frameworks
• Transparent comparisons, calculators and datasets
• Clear explanations of something others routinely misunderstand

A practical framework: Discover, Understand, Trust, Extract, Corroborate, Measure

At Soluma we treat AI Search Visibility as a chain. If one part is weak, adding more content may not solve the problem.

If your pages are blocked, writing more articles is not the first answer. If the system can access the site but cannot determine what your company does, entity clarity is the issue. If the business is understood but never appears in high intent buyer questions, the content may not answer those decision moments. If excellent content exists but competitors dominate third party references, the gap is external authority. Different problems require different interventions, which is why GEO should start with diagnosis rather than a content quota.

What people often misunderstand about GEO and AEO

Myth 1: we need to write differently because AI only understands short chunks

Clear sections help readers and retrieval systems, but Google explicitly says there is no requirement to artificially break pages into tiny chunks. Write naturally and structure deliberately.

Myth 2: schema will make ChatGPT cite us

There is no credible basis for guaranteeing this. Structured data is useful infrastructure, not a citation button.

Myth 3: we need llms.txt for Google AI Overviews

Google says llms.txt neither helps nor hurts visibility or ranking in Google Search. Other systems may choose to use such files, so maintaining one can still have a purpose. Do not confuse adoption by one service with a universal requirement.

Myth 4: more brand mentions always improve GEO

Genuine third party evidence can be useful. Manufactured mentions are different, and Google explicitly warns against chasing inauthentic mentions for generative AI visibility.

Myth 5: if we are cited, GEO is working

Citation is only one outcome. An answer can cite your website and still recommend three competitors without ever naming your company. Technically you earned a citation. Commercially you lost the buyer moment. Ask whether the brand was named, whether it was recommended, whether the right service was understood, which competitors appeared and whether the visit converted.

How should you measure GEO and AEO performance?

For years, measurement had an obvious problem: analytics could report clicks from AI platforms but not how often a page appeared inside an answer when nobody clicked. That is changing. In February 2026 Microsoft introduced AI Performance in Bing Webmaster Tools, which can show citation counts, cited pages, visibility trends and sampled grounding queries. In June 2026 Google announced generative AI performance reporting in Search Console for a subset of websites, showing impressions and pages appearing in features including AI Overviews and AI Mode. OpenAI adds a chatgpt.com source parameter to referral links, so those visits can be identified in analytics.

1. 1Prompt coverage: across the questions buyers actually ask, how often does your brand appear?
2. 2Citation share: how frequently are your pages used as cited sources?
3. 3Brand mention rate: how often does the answer name you even without citing your site?
4. 4Competitor share: which competitors consistently appear instead?
5. 5Source concentration: which domains repeatedly influence answers in your category?
6. 6Query coverage: are you appearing only for your brand name, or for non branded buyer questions too?
7. 7Citation to visit rate: are AI citations generating site visits?
8. 8Commercial outcome: do those visits become enquiries, demos, bookings, calls or purchases?

How do you prioritise GEO and AEO work?

Do not start by publishing 100 articles. Start by finding where visibility is being lost.

1. 1Identify real buyer search moments. Not what does this brand offer, but which companies provide X, what is the best option for Y, who can help with Z, X versus Y and how much should X cost.
2. 2Test the answers. Run representative questions through the AI systems your audience uses and record brands mentioned, brands recommended, sources cited, repeated sources and your presence or absence.
3. 3Diagnose the gap. Is the issue discovery, content, evidence, entity clarity, off page authority, freshness or technical access? Do not assume.
4. 4Fix the highest impact problem. Missing commercial evidence, a broken technical layer and absent third party authority need different responses.
5. 5Retest. GEO and AEO work as an operating loop: measure, diagnose, improve, republish, recheck.

When GEO and AEO may not be the first priority

If your website does not clearly explain what you sell, fix that first. If your local business information is inconsistent, correct it. If your service pages do not answer basic buyer questions, strengthen them. If your technical SEO is broken, repair it. If the offer itself is unclear, no amount of schema will solve it. And if almost nobody in your target market currently uses AI systems to research your category, other channels may deserve more investment today. Good strategy follows buyer behaviour, not hype.

How Soluma approaches AI Search Visibility

The first question we ask is not how many GEO articles should we write. It is what does the AI currently tell your potential customers when they ask who to contact. From there we examine which buyer questions matter commercially, whether your brand appears, which competitors appear instead, which sources repeatedly influence the answers, what evidence those competitors have that you do not, whether your site is technically accessible, and whether your company and services are clearly represented.

That produces a far more useful roadmap than adding GEO to an existing SEO checklist. Before trying to optimise for AI, it helps to know exactly where AI is currently choosing someone else.