A generative engine optimisation agency is a professional services firm that takes responsibility for getting a client cited in AI-generated search responses — Google AI Overviews, Perplexity, ChatGPT, and Gemini. The deliverable is citation presence in the AI answer layer, not blue-link rankings, and the engagement covers entity work, content production calibrated for citation, schema implementation, and ongoing measurement of citation frequency over time.
The GEO agency category emerged through 2024 and consolidated through 2025 as AI Overviews moved from experimental to default for a meaningful share of commercial queries. The market now contains agencies operating at very different methodology depths. Some have built their service from first-principles implementation. Others have rebranded existing content marketing or PR services with GEO terminology. Telling them apart matters because the second category produces inconsistent results that the client tends to discover only after several months of investment.
This article covers what a GEO agency actually does, the deliverables that should appear in any complete engagement, the methodology versus rebrand red flags to watch for during evaluation, and how to read agency proof points to separate engineered citations from incidental ones.
Key Takeaways
- A GEO agency owns citation presence in AI-generated responses across platforms — entity work, citation-calibrated content, schema, and measurement are the core deliverables.
- Methodology depth is the highest-signal evaluation criterion. Agencies that can describe their entity-prioritisation process in specifics are operating differently from agencies that reframe content services.
- Citation history with named platforms, queries, and timeframes is the most reliable proof point. Generic case studies framed around traffic or rankings indicate a rebranded service.
What a generative engine optimization agency actually does
A complete GEO agency engagement covers five workstreams. The entity audit establishes how the brand currently appears across AI platforms — which queries surface citations, which competitors are cited instead, and where the brand’s entity definition is weak or contradictory across its own properties. This is the baseline that all later measurement is built against.
Citation opportunity mapping identifies the specific queries — definitional, comparative, problem-solution — where citation is achievable and commercially relevant. The opportunity set is narrower than a typical SEO keyword list because not every query triggers an AI response, and not every AI response cites brand sources. Agencies that treat GEO as keyword research with new packaging miss this distinction at the start of every engagement.
Content production calibrated for citation extraction
Content production for GEO has structural requirements that diverge from organic SEO. AI systems extract from clearly delineated definitional passages, comparison tables, and stepwise procedures. Long preambles, narrative framing, and embedded calls-to-action interrupt extraction. Content that ranks well organically does not automatically get cited — and the reverse is also true. A capable GEO agency can show side-by-side examples of the same topic written for ranking versus for citation, and explain the structural differences between the two.
Schema, technical layer, and ongoing measurement
Schema implementation covers Organisation, Person, FAQPage, HowTo, and Article schemas applied where they add disambiguation signal for AI systems. Schema is not a guarantee of citation, but inconsistent or missing schema makes a brand harder for AI systems to parse correctly. The fifth workstream is ongoing measurement — citation frequency by platform, cited query coverage, and citation persistence over time. Without measurement against a documented baseline, neither client nor agency can tell whether the programme is working.
How to evaluate a GEO agency
The most reliable evaluation question is procedural. Ask the agency to describe how they decide which entity attributes to strengthen first for a new client. A methodology-led agency will describe a sequence — current citation audit, competitor citation analysis, query-category prioritisation, content gap mapping — with clear reasoning at each step. A rebranded content agency will describe topic research and editorial calendars. The difference is visible within two minutes of the conversation.
Ask also about the agency’s diagnostic process for when citations do not appear within the expected timeframe. Agencies with implementation experience will describe specific diagnostic checks — entity confusion across the brand’s own properties, schema parse errors, content extraction failures, weak organic foundations — and the recalibration steps for each. Agencies without that experience will deflect to platform volatility or recommend more content production.
Methodology versus rebrand red flags
Three patterns indicate a rebranded service rather than a methodology-led one. The first is case studies framed entirely around traffic or ranking metrics, with no citation-frequency reporting. If the agency cannot show citation history for past engagements, the agency is not measuring citations — and an agency that does not measure citations is not optimising for them. The second is deliverable lists indistinguishable from a content marketing retainer — blog posts per month, social posts, design hours — without entity work or schema as line items. The third is timeline promises that ignore the client’s organic foundation. A 30-day citation guarantee for a brand with no existing domain authority is a signal of either misinformation or oversell.
What strong proof of methodology looks like
An agency with genuine methodology can describe the citation history of a specific brand they have worked on — which platforms cited the brand, for which queries, at what frequency, over what period. They can also describe what changed in the brand’s entity layer, content layer, or schema that drove the citations. The narrative connects the work to the result. Agencies that cannot reconstruct that connection are reporting incidental citations rather than engineered ones, and the next engagement is unlikely to produce a different pattern.
Deliverables and reporting cadence
A complete GEO agency engagement produces deliverables across each of the five workstreams on a defined cadence. The entity audit is typically a one-time deliverable refreshed quarterly. Citation opportunity mapping is reviewed monthly as AI platforms expand their query coverage. Content production runs at an agreed monthly cadence. Schema implementation is largely one-time with periodic maintenance. Measurement runs continuously with monthly reports.
Reports should connect work delivered in the period to changes in citation frequency, cited query coverage, and platform-by-platform appearance. Reports that describe activity counts without tying them to citation outcomes obscure whether the work is producing the result. Reports that conflate AI Overview impressions with organic traffic mismeasure the campaign and the discipline. The reporting structure is one of the more reliable visible signals of how the agency thinks about its own work.
Measurement: what to track and how to interpret it
GEO measurement is structurally different from SEO measurement. The primary metric is citation frequency — how often the brand is cited in AI responses to relevant queries — and it is tracked per platform because Google AI Overviews, Perplexity, ChatGPT, and Gemini behave differently. Cited query share of voice measures the brand’s coverage relative to competitors across the citation opportunity set. Citation persistence tracks how long citations hold across platform answer-composition shifts.
Brand mentions in AI responses are also relevant even when the citation does not include a clickable link. The brand has been surfaced to the user; the lack of a clickthrough does not mean the appearance had no commercial value. Measurement frameworks that count only clickable citations understate the visibility being created. Frameworks that include all named brand mentions paint a more accurate picture, particularly for B2B brands where the audience tends to research before acting.
Stridec’s approach as a GEO agency
Stridec is an SEO-only agency founded by Alva Chew with 24 years of digital marketing and SEO experience. The agency’s GEO methodology was developed through implementation — first on Stridec’s own products, then in client engagements once the methodology produced confirmed results. The two-layer AIO Methodology covers a Trigger Layer for early citation appearances and an Authority Layer for citation persistence over time.
The proof point is AeroChat, my AI customer service platform for e-commerce. I applied the entity-first GEO methodology to AeroChat before offering the service commercially as a category. AeroChat appeared in Google AI Overviews for category queries within three weeks of content going live — across the US, UK, UAE, and Singapore — without market-specific localisation for each region. Impression growth was 343% over the measurement period. That result established the methodology’s validity before any client was asked to trust it.
For agencies evaluated against the criteria above, the test is whether the methodology can be described in process terms and whether the proof points include citation history with named platforms and timeframes. Methodology and verifiable citation history together are the highest-confidence evaluation signals. Either one in isolation is weaker than both together.
Conclusion
A generative engine optimisation agency owns citation presence in the AI answer layer. The work is methodology-led when it is done well — entity audit, citation mapping, calibrated content, schema, and measurement — and the agencies that can describe each step in specific terms are operating differently from the agencies that reframe content marketing as GEO.
The evaluation question that surfaces methodology depth quickest is procedural: how does the agency decide which entity attributes to strengthen first, and how do they diagnose when citations do not appear on schedule? Combined with citation history reporting from past engagements, these two signals separate methodology-led agencies from rebranded ones with high reliability. Pricing, agency size, and brand recognition are weaker signals. The work itself is what determines whether the engagement produces durable AI citation presence.
Frequently Asked Questions
What does a generative engine optimization agency do?
How is a GEO agency different from an SEO agency?
How long does it take a GEO agency to produce results?
What should I ask a GEO agency in the discovery call?
How is GEO success measured?
Are all GEO agencies operating with the same methodology?
Stridec is a GEO and SEO agency working with brands globally on AI Overview citation presence through the Managed AI Overview Mastery programme. To discuss whether the methodology fits your category and citation objectives, enquire now.
