A prospect visits your website, reviews two pages, and leaves without contacting you. Weeks later, they hire another provider you did not even know was competing for the project.
You were left out, and you never found out.
It was not necessarily a problem with your proposal, your website, or your sales funnel. What changed is the way buyers of software development services build their shortlist before speaking with any provider.
That buyer no longer starts their search only on Google. They also open ChatGPT, Gemini, or Perplexity and directly ask which company they should hire.
According to G2’s The Answer Economy research (2026), 51% of B2B software buyers now begin their search in an AI chatbot more often than on Google. Eleven months earlier, that figure was 29%.
If your company does not appear in that answer, it did not lose the project.
It was never part of the evaluation.
Your buyer asks AI who to hire
The same situation is repeating across companies that need to build or outsource software development.
A CTO describes their problem in a chatbot. They need to modernize a system, develop a custom platform, expand their team, or find a nearshore partner. Within seconds, they receive three or four company names, along with an explanation of why each one could be a good option.
That initial list is created without any of those providers taking part in the conversation.
The same G2 report (2026) found that 71% of B2B buyers use chatbots during their research process and that ChatGPT accounts for 63% of that usage.
Before reaching your contact form, the buyer has probably already researched the market, compared alternatives, and formed an initial opinion about which companies are worth considering.
Appearing on Google is no longer enough
For years, the main objective was to rank on Google. A company appeared in the search results, the user clicked, and the evaluation process began.
That model still exists, but there is now a new layer between the search and the website: an artificial intelligence system that analyzes different sources and synthesizes an answer before the buyer visits a single result.
According to Similarweb’s 2025 Generative AI report, generative AI platforms generated more than 1.1 billion referral visits in June 2025, representing 357% year-over-year growth.
That traffic begins with answers that mention only a limited number of providers.
The question is no longer only whether your company ranks on Google. It also matters whether language models recognize it as a relevant option within its category.
GEO means working to become the company AI mentions
GEO, or Generative Engine Optimization, is the discipline focused on structuring a company’s digital presence to increase its chances of being mentioned by generative answer engines.
The term was introduced in an academic paper by Princeton, Georgia Tech, The Allen Institute for AI, and IIT Delhi, published in 2024 and presented at KDD 2024.
The research showed that certain techniques could increase a piece of content’s visibility within generative answers by close to 40%.
The result was not achieved simply by adding more keywords. The most significant improvements came from including statistics, citations, and verifiable sources that helped the model interpret and support the information.
For a software development company, this means building a clear, specialized, and consistent digital presence. AI needs to understand what the company does, the types of projects it works on, the industries it serves, the technologies it uses, and why it should be considered a trustworthy source.
AI names three companies, not ten
A Google results page can include ten links. A user may browse several of them, open multiple tabs, and compare different options.
A generated answer usually includes three or four names. People rarely ask for a second list with ten additional alternatives.
That is why visibility in LLMs is not only a concern for companies that develop artificial intelligence products.
It also affects software factories, custom software development companies, technology consultancies, and nearshore teams.
They are all competing for a much smaller list.
Not appearing is also a decision, but someone else makes it for you
The most uncomfortable part of this change is that it happens silently.
When a company loses positions on Google, it can observe a drop in clicks, impressions, or organic traffic. There is a signal that makes the problem visible.
When AI does not mention your company, there is often no record of it.
The buyer receives a list, researches the recommended providers, and moves forward with one of them. Your company never appears in the dashboard because there was never a visit to measure.
G2 also found that 85% of buyers have a more positive view of a provider when it is mentioned by a chatbot.
Not appearing does not only leave you off the list. It also gives an additional authority signal to the competitors that were recommended.
Appearing does not win the project, but not appearing can lose it before it begins
It is important to be clear about the promise.
Being mentioned by ChatGPT, Gemini, or Perplexity does not automatically close a contract. The buyer will still visit your website, analyze your portfolio, review your case studies, and evaluate your commercial proposal.
That is where they decide whether your company can really move forward.
Visibility in generative search engines does not sign the contract. It allows you to enter the conversation.
But when you do not appear, the buyer never gets to evaluate any of those things because your company was never considered as a candidate.
The window to position your company is still open
Models tend to reinforce the sources, brands, and companies they already recognize and cite.
That is why companies that begin building clear signals of specialization and authority today can develop an advantage that will be much harder and more expensive to achieve later.
For a company whose business is building software for third parties, this work should begin with an approach to SEO for software development companies that considers visibility in generative search engines from the beginning of the strategy.
Buyer behavior has changed, and it is unlikely to go back.
Before the first meeting, they have probably already asked the question.
The only question is whether your company appeared among the answers.
If AI does not mention you, you do not exist for your buyer.
Sources
- G2 — The Answer Economy: How AI Search Is Rewiring B2B Software Buying (2026): 51% of B2B buyers start on AI (vs 29% in April 2025), 71% use it during research, 63% ChatGPT, 85% view the mentioned vendor more favorably (n=1,076)
- G2 — New Research: Half of B2B Software Buyers Now Start Their Research With AI Chatbots (press release, April 15, 2026)
- Similarweb — 2025 Generative AI Report: generative AI platforms drove more than 1.1 billion referral visits in June 2025, +357% year-over-year
- Aggarwal, Murahari et al. (Princeton, Georgia Tech, The Allen Institute for AI, IIT Delhi) — GEO: Generative Engine Optimization, KDD 2024: citation, statistic and quotation techniques lift visibility in generative engines by up to 40%
