Generative Engine Optimization is the practice of improving a brand’s visibility in AI-generated answers – the citations that appear in Google AI Overviews, ChatGPT, and Perplexity. It is a distinct discipline from traditional SEO, and the agencies that do it well are those that have built specific methodology around it rather than bolting a GEO offering onto an existing SEO practice.
GEO is a distinct discipline from traditional SEO – agencies claiming GEO capability without proprietary methodology or AI visibility measurement tools are not specialist providers
The best GEO agencies combine technical preparation (AI crawler access, content structure) with off-site authority signals that LLMs use for citation decisions
Documented AI citation results – specific platforms, specific query sets – are the most reliable evidence of genuine GEO capability
This is an emerging market; verify all agency claims directly before engaging
Getting cited in an AI-generated answer is not a by-product of ranking well on Google. LLMs select sources based on a different set of signals: whether the content directly answers the query in the opening sentences, whether the brand has sufficient third-party authority signals for the LLM to treat it as a trustworthy source, and whether the technical infrastructure allows AI crawlers to access and ingest the content at all.
A GEO agency needs to be capable of assessing and improving all three of these – content structure, authority signals, and technical readiness. Agencies that only address one are offering a partial service.
Agencies were assessed on four criteria: whether they have a named GEO practice (not just a blog post), whether they use dedicated AI visibility tracking tools, whether they can document AI citation results for clients, and whether their audit process covers all three GEO pillars – technical, content, and authority.
SUSO Digital built their GEO practice before most agencies had defined what GEO was. Their methodology covers all three pillars: a technical audit that assesses AI crawler access and content ingestion, content restructuring for conversational intent and direct answerability, and off-site authority work through Digital PR to build the external citation signals LLMs rely on.
They developed a proprietary AI Search Visibility Checker that tracks citation frequency and sentiment across Google AI Overviews, ChatGPT, and Perplexity – giving clients a measurement framework that most agencies still lack.
Best for: Brands and agencies that need GEO built as a complete practice, not an add-on to existing SEO work.
NP Digital has invested in AI search visibility as an extension of their established content and SEO practice. Their strength is in content-level GEO work – restructuring existing assets for conversational intent and ensuring key brand messages are positioned for LLM extraction. Their scale gives them the resource to run GEO programmes across multiple markets simultaneously.
Best for: Brands with large content libraries that need systematic restructuring for AI search visibility.
Wpromote’s GEO offering sits within a broader performance marketing practice, which gives them an advantage in attributing AI search visibility to downstream commercial outcomes. Their approach is data-led, and their investment in measurement infrastructure makes them a stronger option for brands that need to report on GEO impact within a wider marketing reporting framework.
Best for: Performance-focused brands that need GEO results connected to revenue and conversion data.
uSERP’s GEO work is anchored in their digital PR and link building practice, specifically, building the authority signals that LLMs use to determine whether a brand is citable. For brands where the primary GEO gap is off-site authority rather than technical or content structure, uSERP’s specialism is directly relevant.
Best for: Brands with strong on-site content that need external authority signals built to support AI citation.
Acceleration Partners bring a partnership marketing lens to AI search visibility – useful for brands where affiliate and partner content distribution is part of the authority-building strategy. Their GEO work is less technically oriented but stronger on distribution and third-party mention volume.
Best for: Brands that use affiliate and partner channels as part of their broader authority-building strategy.
GEO is a nascent market and the quality of agency offerings varies significantly. Before engaging any agency, ask for the following:
Their AI citation measurement methodology – which platforms do they track, at what query volume, and how frequently?
A documented case study with specific AI citation results – named platform, named query set, measurable outcome
Their process for assessing technical AI crawler readiness – not just content recommendations
How they separate GEO-driven results from traditional organic search performance
The share of search journeys that involve an AI-generated answer is growing faster than most brand marketing teams have planned for. The brands earning citations now are building a compounding advantage – LLMs that have already indexed a brand as a credible source are more likely to cite it again. The agencies that have built genuine GEO methodology are the ones worth engaging before that gap widens further.
The terms overlap but are not identical. AEO typically refers to optimising for featured snippets and direct answers in traditional search. GEO specifically addresses AI-generated responses from LLM-based systems like Google AI Overviews, ChatGPT, and Perplexity. GEO requires a broader set of signals, including external authority and technical AI crawler readiness, that AEO does not address.
The primary metric is citation frequency – how often the brand is cited in AI-generated answers for a defined set of target queries, across the platforms that matter for the audience. Secondary metrics include citation sentiment (positive, neutral, negative), share of voice versus competitors, and downstream traffic and conversion from AI search referrals. Agencies without a measurement framework for these metrics are not running a GEO practice – they are guessing.
Technical improvements to AI crawler access and content structure can influence citation frequency within four to eight weeks. Authority-signal improvements through Digital PR take longer, typically three to six months before the external reference volume reaches a threshold that influences LLM citation behaviour. Full GEO programme results are typically assessed at a six-month horizon.
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