For years, tech companies have focused on one main question: How do we rank higher in Google?
That question still matters, but search behaviour is changing.
People are increasingly asking AI-powered search tools direct questions instead of browsing through pages of search results. A founder might ask, What is the best CRM for a growing SaaS company? A marketing manager might ask, “Which AI tools can help a small team automate content production? Someone researching software may simply ask an AI assistant which platforms are worth considering.
The answer may contain only a few recommendations.
That creates a new challenge for tech brands. It is no longer enough to have a good website, publish blog posts and rank for a collection of keywords. Your brand also needs to be understandable, credible and consistently represented across the wider web.
This is where Generative Engine Optimization (GEO) comes in.
A GEO agency works on the signals that can help AI search systems understand a company, its products, its expertise and its relevance to specific questions. The work can involve content, technical SEO, digital PR, entity optimization, brand mentions, competitor research and ongoing AI-search monitoring.
The goal is not to “force” an AI system to recommend a particular company. No legitimate agency can guarantee that.
The goal is to build a stronger information ecosystem around the brand so that when relevant questions are asked, the brand has a better chance of being discovered, understood and included.
What Does It Mean for a Tech Brand to Be Recommended by AI?
Traditional search generally gives users a list of pages.
Generative search works differently. Instead of simply showing ten blue links, an AI system may interpret the user’s question, retrieve information from different sources and produce a direct response.
For a software company, that difference is significant.
Imagine someone asks:
What are some good project management platforms for a remote technology startup?
The user may never visit the tenth or twentieth search result. They may receive a short list of products directly in the AI-generated answer.
For a tech brand, appearing in that answer depends on much more than having a page that contains the phrase “project management software.”
The AI needs enough reliable information to understand what the company does, who it serves, how it compares with alternatives and whether other sources support the information available about the brand.
That is why GEO is broader than simply adding keywords to existing pages.
Why Tech Brands Need More Than Content
A common mistake among software companies is assuming that publishing more content automatically creates more AI visibility.
It doesn’t.
A company can publish hundreds of articles and still have a weak presence in AI-generated answers if its positioning is unclear or if there is very little independent information about the business.
For example, a SaaS company might describe itself as an “AI-powered business automation platform” on its website. Elsewhere, it may be described as a CRM tool. A review site might call it a sales automation platform, while a third-party article may place it in a completely different category.
These inconsistencies can make the brand harder to understand.
This is one reason a GEO strategy needs to look beyond the company’s own website.
How a GEO Agency Can Improve AI Visibility
A professional GEO strategy usually combines several activities rather than relying on one trick.
Here are ten areas that can contribute to a stronger AI-search presence.
| GEO Area | What It Does | Why It Matters for Tech Brands |
|---|---|---|
| 1. Entity Optimization | Clarifies what the company, product and founders represent | Helps create a consistent understanding of the brand |
| 2. Digital PR | Builds coverage through relevant publications and media | Adds independent sources that can reinforce credibility |
| 3. Brand Mentions | Expands the brand’s presence across relevant websites | Gives AI systems more information about the company |
| 4. Technical SEO | Improves crawlability, structure and accessibility | Makes important information easier to discover |
| 5. Content Optimization | Improves existing pages and creates useful new content | Helps content answer specific user questions clearly |
| 6. AI-Search Monitoring | Tracks how the brand appears in AI-generated answers | Shows where visibility exists and where gaps remain |
| 7. Competitor Analysis | Studies competitors appearing for relevant prompts | Helps identify missing content and authority signals |
| 8. Query Research | Finds real questions users may ask AI systems | Moves strategy beyond traditional keywords |
| 9. Authority Building | Strengthens evidence around expertise and relevance | Supports trust around the brand’s claims |
| 10. Ongoing Optimization | Continuously tests and improves the strategy | AI search changes, so GEO cannot be treated as a one-time project |
The important point is that these activities work together. A technically perfect website cannot compensate for a complete lack of authority, and a strong PR campaign will not fix a website that is difficult to crawl or understand.
1. Entity Optimization Makes the Brand Easier to Understand
Before an AI system can recommend a company, it needs to understand what that company actually is.
Entity optimization focuses on creating a clear and consistent identity around the brand.
That includes basic questions such as:
- What does the company offer?
- Which category does it belong to?
- Who is the product designed for?
- What problems does it solve?
- Which industries does it serve?
- What makes it different from alternatives?
This information should not exist in isolation.
The company’s website, profiles, directories, publications and other relevant sources should communicate a reasonably consistent picture.
For a tech startup, this becomes especially important because startups often change their positioning as they grow. A company that started as an AI writing tool may later become an enterprise content platform.
If the web still contains five different descriptions of the company, the brand’s digital identity becomes harder to interpret.
2. Digital PR Builds Evidence Outside the Website
A company saying that it is innovative is one thing.
Other credible sources talking about the company is another.
This is where digital PR can become an important part of GEO.
Relevant media coverage, expert interviews, industry publications, product discussions and editorial mentions can create additional sources that describe the company.
The objective isn’t simply to collect as many links or mentions as possible.
Relevance matters.
A software startup serving financial teams is better served by being discussed in relevant business, technology or finance publications than by collecting random mentions from unrelated websites.
A GEO agency can use digital PR to build a wider footprint around the brand and strengthen the information available outside the company’s own domain.
3. Brand Mentions Give AI More Context
Backlinks have traditionally been viewed mainly through an SEO lens.
But brand mentions can have a broader role in establishing online context.
If a SaaS company is repeatedly discussed by relevant websites as a customer-support platform, for example, that reinforces a particular association around the brand.
The same principle applies to founders, products, features and industry expertise.
This doesn’t mean that every mention will result in an AI recommendation. It means that a broader and more consistent web presence gives search systems more information from which to understand the company.
4. Technical SEO Still Matters
GEO does not make traditional SEO irrelevant.
AI systems still need to discover and retrieve information.
If important pages are blocked, poorly structured, difficult to navigate or technically inaccessible, there is less useful information available for retrieval.
Technical SEO can therefore provide the foundation for the wider GEO strategy.
Areas worth reviewing include:
- Crawlability
- Indexation
- Internal linking
- Site architecture
- Structured data
- Page accessibility
- Canonicalization
- Broken links
- Duplicate content
- Mobile usability
Technical improvements are not glamorous, but ignoring them can undermine everything else.
5. Content Needs to Answer Real Questions
A lot of technology content is written around keywords rather than people.
That approach creates pages such as:
Best AI Software | AI Software Platform | AI Software Solutions.
The page may technically target the keyword, but it may not answer the questions a potential customer actually has.
AI-search users often provide much more context.
They might ask:
Which AI customer-support software is suitable for a SaaS company with a small support team and a high volume of repetitive questions?
That is a very different search intent.
Content optimization should therefore focus on questions, use cases, comparisons, problems and outcomes.
The best content isn’t written simply to mention a phrase. It explains something clearly enough that a reader—or a search system—can understand the answer without having to decode the page.
6. AI-Search Monitoring Shows What Is Actually Happening
One of the biggest problems with GEO is that traditional ranking reports don’t tell the whole story.
A company can rank well in Google and still be missing from important AI-generated recommendations.
That means brands need to test relevant prompts across the AI search platforms their customers use.
For example:
- Is the brand mentioned?
- Which competitors are mentioned?
- How is the brand described?
- Is the product category correct?
- Are important features missing?
- Which sources appear to support the answer?
- Does the brand appear for informational prompts but disappear for commercial prompts?
This is where AI-search monitoring becomes useful.
Instead of guessing whether GEO is working, a company can build a set of important prompts and track changes over time.
7. Competitor Analysis Finds the Gaps
Suppose a software company asks an AI system:
What are the best CRM platforms for early-stage SaaS companies?
Three competitors appear repeatedly, but the company itself doesn’t.
The next question shouldn’t simply be, “How do we create more content?”
It should be:
Why are those competitors being included?
Perhaps they have more third-party coverage.
Perhaps their product is mentioned by industry publications.
Perhaps their category positioning is clearer.
Perhaps they have stronger comparison pages.
Perhaps their website explains their use cases more effectively.
Competitor analysis helps identify these differences.
A GEO agency can compare the sources, content, entities, mentions and technical signals surrounding competing brands and then identify areas where the client has a genuine visibility gap.
8. GEO Starts With Prompts, Not Just Keywords
Traditional SEO often starts with keyword research.
GEO needs to think more broadly.
A technology company should consider the questions its potential customers could realistically ask an AI assistant.
For a cybersecurity company, that could include:
What cybersecurity platforms are suitable for a 50-person SaaS company?
For an HR software company:
Which HR software is easiest for a startup to implement without a dedicated HR team?
For an AI writing platform:
What AI content tools are useful for a marketing team that needs brand consistency?
These are not just keywords. They represent real decision-making scenarios.
A strong GEO strategy maps these scenarios to content, authority and brand signals.
9. Authority Needs to Be Built Across the Web
A company’s own website naturally has a promotional purpose.
That doesn’t make it useless, but AI systems can benefit from information available across multiple sources.
That is why authority building should extend beyond owned content.
Relevant industry publications, interviews, reviews, expert commentary, partnerships and other third-party sources can all contribute to a broader picture of the brand.
Again, the objective should not be to manufacture mentions everywhere.
A hundred irrelevant mentions are not necessarily more valuable than a smaller number of highly relevant sources.
For tech brands, quality and context matter.
10. GEO Is an Ongoing Process
AI search is still developing.
The platforms change. Search behaviour changes. Competitors publish new content. Products change their positioning. New sources become influential.
That makes GEO a continuous process rather than a one-time technical setup.
A brand may become visible for one group of prompts and remain invisible for another.
A competitor may suddenly start appearing in recommendations.
A product update may also change the questions people ask.
Ongoing monitoring allows the strategy to respond to those changes instead of relying on an outdated snapshot.
Where Search Forge Digital Fits In
This is where a specialist GEO agency can provide value.
Search Forge Digital approaches Generative Engine Optimization as a combination of technical SEO, content, authority, entity signals and AI-search intelligence, rather than treating GEO as another keyword-placement exercise.
The process can begin by understanding how the brand currently appears across relevant AI-search queries.
From there, the work can identify gaps in entity positioning, content, technical SEO, brand mentions and competitor visibility.
Digital PR and brand-building activities can then help strengthen the brand’s presence beyond its own website, while content optimization makes important information easier to understand and retrieve.
AI-search monitoring provides another layer of visibility by showing how the brand is actually being represented in AI-generated answers.
The benefit of bringing these activities together is simple: instead of working on isolated SEO tasks, the brand gets a coordinated strategy for becoming easier to discover and understand across modern search environments.
What Should a Tech Brand Measure?
GEO should not be judged only by whether a company “appeared in ChatGPT.”
That is too simplistic.
A better measurement framework can look at several signals:
- Brand mention rate across priority prompts
- AI-search visibility compared with competitors
- Accuracy of the brand description
- Frequency of relevant product mentions
- Sources being used to describe the company
- Referral traffic from AI platforms where measurable
- Engagement and conversions from AI-referred visitors
- Growth in relevant third-party mentions
- Coverage of important commercial questions
No single metric tells the whole story.
A brand might receive fewer AI mentions but appear for highly valuable buying questions. Another brand might receive many mentions for informational searches but very little visibility when customers are choosing a product.
The business objective should therefore determine which prompts and measurements matter most.
Final Thoughts
GEO is not a shortcut around SEO, and it is not a secret method for controlling what AI recommends.
It is a broader approach to digital visibility.
For a tech brand to have a realistic opportunity of being included in AI-generated recommendations, it needs to be easy to understand, technically accessible, relevant to the user’s question and supported by credible information across the web.
That requires more than publishing another blog post.
It can involve entity optimization, digital PR, brand mentions, technical SEO, content optimization, competitor analysis and continuous AI-search monitoring.
For founders and marketing teams, the key shift is to stop thinking only about where a page ranks and start asking a bigger question:
When a potential customer asks an AI system about the problem we solve, does our brand have enough credible information around it to be considered?
That is the problem a well-planned GEO strategy is designed to address.
And for technology companies competing in increasingly crowded markets, being discoverable may no longer be enough. The next challenge is making sure the brand is understood, supported and visible when the recommendation is being generated.
