Generative search summarizes and recommends instead of just ranking pages. GEO makes sure that summary is accurate, favourable and sourced from you.
Quick answer
Generative Engine Optimization (GEO) is the practice of improving how often and how accurately generative AI systems, such as Google AI Overviews, ChatGPT, Perplexity and Gemini, mention, describe and recommend a brand. It combines consistent entity information across the web, in-depth content with citable facts and statistics, and third-party coverage those systems draw from.
Common challenges
When AI tools leave a brand out of their answers, or describe it wrongly, it usually comes down to one of these.
Old descriptions, different service lists and outdated details on directories and profiles give AI systems conflicting information about you.
Generative answers lean on what third-party sites say. A brand that's only described on its own website is easy to leave out.
General marketing copy gives an AI system no specific fact, number or comparison to pull into an answer.
"Best X for Y" and "X vs Y" questions are where recommendations happen. Brands without comparison and use-case content rarely appear in them.
Most teams have never checked how AI tools describe their brand, so errors go unnoticed.
What’s included
Your business, products and expertise described consistently across the structured sources generative engines draw from.
Consistent facts, positioning and messaging across your site, directories, profiles and third-party sources that feed AI summaries.
Content with the depth, specific facts, statistics and sources that generative engines favour when choosing what to synthesize from.
Ongoing tracking of how your brand is described and recommended in AI answers for your key category and comparison queries.
Honest comparison, alternative and "best for" pages that give AI tools accurate material for recommendation queries.
Digital PR, reviews and directory work aimed at the sources AI answers already cite in your category.
Our process
We check how your brand currently appears in AI-generated answers for your core category, comparison and "best" queries, and where it's missing.
Structured data, profiles and third-party listings are aligned so generative engines have consistent facts to draw from.
Key category and product content is deepened with specifics, evidence and sources worth citing.
We track changes in AI answers over time and adjust as the engines update how they choose sources.
Why FluxSEO Pro
GEO draws on all three. We run them together instead of handing you three separate plans.
Our approach follows the published research on generative engines and Google's own guidance on AI features, which we cite in our GEO guide.
AI answers change often and no one controls them. We report what moved and what didn't, with the prompts we tested.
Reporting
We measure how AI tools describe you, and whether that turns into visits and enquiries.
Related services

Mala's local entity signals, answer-first content and travel press coverage are the same building blocks GEO uses to shape how AI tools recommend a brand.
View case studyClient feedback
Before working with FluxSEO Pro, our website wasn’t generating much business from Google. They improved our service pages, local SEO, and overall site structure. We’re now receiving more relevant visitors and inquiries from search.
FluxSEO Pro brought a clear strategy to our SEO instead of simply sending monthly keyword reports. They worked on our technical issues and helped us create content around the services our potential clients are actually searching for.
Finding an SEO company that understands B2B search behavior isn’t easy. FluxSEO Pro understood our products and buyer journey and built the strategy around commercial searches. We’ve noticed a meaningful improvement in both visibility and lead quality.
FAQ
SEO earns rankings in search results. GEO earns inclusion and accurate representation inside AI-generated answers. Strong SEO helps GEO, but GEO also depends on how consistently your brand is described across the web and how citable your content is.
AEO focuses on being cited for direct questions. GEO focuses on how generative engines summarize and recommend your brand more broadly, including research and comparison queries such as "best [category] for [need]".
Content that answers the query directly, contains specific facts, statistics and quotations with sources, and comes from brands that trusted third-party sites also mention. Research on generative engines (Aggarwal et al., "GEO: Generative Engine Optimization", 2023) found that adding citations, quotations and statistics can raise a source's visibility in AI answers by up to 40%.
No. No one controls generative engine output, and it changes often. We optimize the signals within reach and report results transparently.
Yes. People increasingly use AI tools for local and category research, so consistent business information and reviews matter at any size.
From their training data and, when they search the web, from the pages they retrieve at the time. That is why consistent information on your own site, directories, reviews and third-party coverage all influence what they say.
We run a fixed set of prompts for your category, comparison and brand queries across the main AI tools on a schedule, and record whether you're mentioned, how you're described and which sources are cited. Tracking the same prompts over time shows the trend.
Yes. B2B buyers increasingly use AI tools to shortlist vendors. Comparison content, case studies and coverage in trade publications are often the most effective GEO work for B2B brands.
Tell us about your site and goals. We’ll come back with specific opportunities, not a generic proposal.