Sometime in the last year, I started noticing something in client analytics that didn’t add up. Organic traffic from Google was flat or slightly down for several of our B2B clients, but their inbound lead volume was actually increasing. Where were these people coming from?
The answer, increasingly, was AI. People were asking ChatGPT, Perplexity, Gemini, or Copilot questions like “what’s the best CRM for small real estate teams” or “recommend a performance marketing agency for B2B SaaS” — and clicking through to the brands that showed up in those AI-generated answers.
This is the shift that’s forcing marketers to think about a concept that barely existed two years ago: Generative Engine Optimization, or GEO.
GEO in Plain English
Traditional SEO is about ranking on Google’s list of ten blue links. You optimize your pages so Google’s crawler understands your content, and ideally, you end up on page one.
GEO is about getting your brand, product, or content mentioned in AI-generated answers. When someone asks an AI assistant a question and the AI synthesizes an answer from various sources, GEO is the practice of making sure your brand is one of those sources.
The important distinction: in traditional search, you need to rank. In AI search, you need to be cited. The AI doesn’t show ten results for you to scroll through. It gives one answer — maybe referencing 3-5 sources. If you’re not one of those sources, you’re invisible in that interaction.
Why This Is Happening Now
A few things converged to make GEO urgent rather than theoretical.
AI search usage is growing fast. ChatGPT’s search features, Perplexity, Google’s AI Overviews, and Microsoft’s Copilot are handling an increasing share of informational and commercial queries. The exact numbers are debated, but the direction is clear. For certain query types — especially complex “recommend” or “compare” questions — AI tools are becoming the first stop.
Traditional organic traffic is under pressure. Google’s own AI Overviews (the AI-generated answers that appear above search results) are absorbing clicks that used to go to organic listings. If Google answers the question directly, many users never scroll to the blue links. This zero-click trend is accelerating.
B2B buyers are adapting. In our experience with B2B SaaS and enterprise clients, the research phase of the buyer journey increasingly involves AI tools. A VP of Engineering might ask ChatGPT to compare CI/CD tools before ever going to Google. If your tool doesn’t appear in that AI response, you’ve lost the opportunity before the prospect even knew you existed.
How AI Tools Decide What to Cite
This is the part that trips people up, because it’s different from traditional SEO ranking factors. AI models don’t have a PageRank equivalent. They don’t crawl the web and assign scores in the same way Google does. But they do have patterns in how they source information, and understanding those patterns is the foundation of GEO.
Authority of the source. AI models tend to reference well-known, high-authority domains. If TechCrunch mentions your product, that mention is more likely to surface in an AI response than a mention on a random blog. Building your brand’s presence on high-authority sites matters more for GEO than for traditional SEO.
Specificity and structure. AI models pull from content that directly answers questions. Pages that are structured as clear Q&A, comparison tables, or detailed guides are more likely to be cited than vague marketing copy. If your website says “we offer world-class solutions for modern enterprises,” that’s useless to an AI trying to answer a specific question. If your website says “our platform reduces CI/CD pipeline failures by 40% for teams of 50-200 engineers,” that’s citable.
Recency and freshness. AI tools with web access (like Perplexity and ChatGPT with search) favor recent content. Blog posts from 2021 carry less weight than updated content from 2025 or 2026. Keeping your content fresh isn’t just good SEO practice anymore; it’s how you stay visible in AI answers.
Third-party mentions and reviews. This is a big one. AI models don’t just pull from your own website. They synthesize information from review sites, comparison articles, forum discussions, and media coverage. A Capterra review that mentions your product, a Reddit thread recommending your service, or a comparison article on a tech blog — all of these feed into AI responses. Your off-site presence matters enormously.
What GEO Looks Like in Practice
Okay, so what do you actually do about this? GEO is still an emerging discipline, and anyone who claims to have it fully figured out is overselling. But based on what’s working for our clients and what the early research suggests, here are the practical approaches.
Structure Content for AI Extraction
Write content that an AI model can easily parse and extract. This means:
- Clear, direct answers to specific questions (especially in the first paragraph of a section)
- Comparison tables that pit options against each other with concrete data
- Statistics with sources cited
- Lists of features, benefits, or criteria that are easy to pull into a summary
- FAQ sections that map directly to how people ask questions
Traditional SEO already rewards this kind of structure. GEO makes it essential.
Build Third-Party Presence
Since AI tools synthesize from multiple sources, being mentioned on authoritative third-party sites is arguably more important for GEO than for traditional SEO.
- Get listed and reviewed on industry directories (G2, Capterra, Clutch for SaaS/agencies)
- Contribute to reputable publications in your space
- Participate in comparison articles and “best of” roundups
- Build a presence in professional communities where your audience congregates
The goal is to create a web of mentions across trusted sources so that when an AI scans the landscape to answer a query about your category, your brand shows up repeatedly.
Invest in Original Research and Data
AI tools love citing specific data points. If you’re the source of a statistic — “according to ROI Sphere’s 2026 Performance Marketing Benchmark, the median B2B SaaS CPA decreased 12% year over year” — you become a citable authority.
Original research, surveys, benchmarking reports, and data analysis are GEO gold. They give AI tools a reason to reference you specifically rather than a generic source.
Keep Traditional SEO Strong
GEO does not replace SEO. In many ways, it builds on top of it. Strong technical SEO, structured data (schema markup), and quality content are all signals that help AI models find and trust your content.
Think of it this way: traditional SEO gets you indexed and ranked by Google. GEO gets you cited by AI. The foundational work — clean site structure, authoritative content, strong backlinks — serves both goals.
What About Google’s AI Overviews?
Google’s AI Overviews are the most visible intersection of SEO and GEO. These are the AI-generated summaries that appear at the top of search results for many queries.
The tricky part: the sources cited in AI Overviews don’t always match the traditional top-ranking pages. Google’s AI sometimes pulls from pages that rank on page 2 or 3 if they have a more direct, structured answer to the query.
This means a page that doesn’t rank #1 traditionally might still get cited in the AI Overview, driving traffic even without a top organic position. Conversely, a page that ranks #1 for traditional SEO might be bypassed entirely if its content is too generic for the AI to extract a clean answer.
For practical purposes: optimize for both. Write content that would rank well traditionally AND that provides clear, extractable answers for AI citation.
The Honest Truth About Where GEO Stands
I want to be upfront about something. GEO is still early. There’s no equivalent of Google Search Console for AI citations. You can’t easily track how often your brand appears in ChatGPT responses or Perplexity summaries. The measurement infrastructure doesn’t exist yet in a reliable, scalable way.
Some tools are emerging — there are platforms that attempt to monitor AI mentions — but they’re limited and imperfect. For now, the best approach is to focus on the fundamentals (authoritative content, third-party presence, structured data, original research) that benefit both traditional SEO and GEO.
The brands that start building for AI visibility now will have a significant advantage as these channels continue to grow. The brands that wait until there’s a perfect measurement tool will be playing catch-up.
Our Approach at ROI Sphere
We’ve integrated GEO thinking into our broader performance marketing and SEO strategy for clients. It’s not a separate workstream; it’s a lens we apply to content strategy, competitive analysis, and off-site presence building.
For most brands, the immediate actions are: structure existing content for AI extraction, invest in third-party mentions and reviews, create original data that’s worth citing, and keep publishing fresh, specific, and authoritative content.
The future of search isn’t one algorithm deciding your fate. It’s a complex ecosystem of traditional engines, AI assistants, social platforms, and voice interfaces all pulling from a shared pool of online content. The brands that invest in being the best, most authoritative source of information in their category will win across all of them.
Want to understand how AI search is affecting your brand’s visibility? Let’s talk about it.