Suits.ai is an AI platform for marketing, PR, and communications agencies. It turns a firm's own methodology, client history, and quality standards into AI agents the team uses on every account. The first agent is ready in less than 5 minutes. Benjamin Zenou is CEO and co-founder of Suits, Inc. Plans are priced by the number of client accounts, not by seat.

How long does it take to set up Suits.ai?

The first working agent is ready in less than 5 minutes. Upload the firm's existing methods, proposal templates, or brand guidelines, then connect the client context. A full rollout across accounts takes longer. Hirsch Leatherwood, a PR agency, became fully AI-first within 30 days.

Wide panoramic mountain valley under a gradient sunset sky

← Back to blog

Why GEO Is the New SEO Battleground

Market Trend

May 24, 2026

Updated October 23, 2026. Added key takeaways and a direct answer.

Key takeaways

GEO is the work of getting a brand cited in AI answers. It sits on top of SEO. It does not replace it.
The Answer Visibility Shift has four parts: Findability, Evidence, Extractability, and Observability.
A page-one ranking can still lose the question when ChatGPT, Perplexity, and Google name a competitor instead.

Traditional rankings still matter, but brands now compete to be cited by AI answers, forcing agencies to balance familiar SEO playbooks with evidence, authority, and answer-level visibility.

The Monday client call goes quiet. Your team has the brand ranking on page one for its priority category, yet when the client asks ChatGPT, Perplexity, and Google the same commercial question, a smaller competitor appears in every answer. Your client does not want another keyword report. She wants to know why the market’s new research assistant keeps recommending someone else.

Speed alone will not solve this problem. An agency can publish AI-assisted content faster than ever and still produce pages that lack original evidence, clear attribution, or a quotable answer. Fast but wrong GEO work creates a familiar chain reaction: strategists spend hours rebuilding weak content, account leads struggle to explain inconsistent visibility, and clients question whether the agency understands how discovery is changing.

The Answer Visibility Shift

Generative Engine Optimization, or GEO, is the practice of improving the likelihood that a brand, source, or point of view will be included and cited in AI-generated answers. The academic research that formalized GEO found that tactics such as adding citations, quotations, and statistics could improve visibility in generative responses by as much as 40% in the study’s benchmark scenarios [1].

For agencies, this is not a reason to abandon SEO. It is a reason to expand the definition of visibility.

The Answer Visibility Shift gives agency teams four connected disciplines for doing that well: Findability, Evidence, Extractability, and Observability.

1. Findability: Preserve the SEO Foundation

AI answer visibility still depends on content being discoverable, crawlable, technically sound, and connected to a recognizable entity. That means agencies still need clean information architecture, internal links, descriptive titles, structured data, fast pages, and clear relationships between the brand, its experts, and the topics it owns.

The mistake is treating technical SEO as the finish line. Ranking gives a brand the opportunity to be found, but it does not guarantee that an AI engine will select, summarize, or cite it.

2. Evidence: Give the Answer Something Defensible to Use

AI engines need more than polished opinion. They need specific claims supported by primary research, named experts, transparent methodology, customer evidence, and links to original sources.

For PR agencies, this creates a natural advantage. Executive commentary, survey data, campaign analysis, industry benchmarks, and earned media already sit inside the agency’s operating model. GEO turns those assets into discoverability infrastructure, provided the evidence is published clearly enough to verify and cite.

3. Extractability: Make Expertise Easy to Quote

A strong page can be authoritative and still be difficult for an answer engine to use. Long introductions, buried conclusions, unsupported superlatives, and dense blocks of brand copy make it harder to identify the exact answer to a specific question.

Extractable content states the question, gives a concise answer, defines key terms, and then supports the conclusion. Short summaries, descriptive headings, comparison tables, FAQs, attributed quotations, and clearly labeled statistics help both human readers and retrieval systems understand what the page contributes.

4. Observability: Measure Answers, Not Just Positions

A traditional rank tracker tells you where a URL appears. GEO measurement asks a different set of questions: Is the brand mentioned? Is it cited? Which source URL is used? What attributes are associated with the brand? Which competitors appear instead?

That distinction matters because AI-generated answers can vary by engine, prompt, geography, and time. Research into millions of LLM-driven sessions reinforces the need to evaluate AI discovery across multiple platforms rather than treating it as one uniform channel [2].

The Hidden Cost of Skipping the Shift

Consider a $15,000-per-month agency account with eight strategic topic clusters. The agency manually tests 20 prompts across ChatGPT, Perplexity, and Google AI experiences each month, creating 480 answer checks.

At four minutes per check, including recording citations and competitor mentions, the audit consumes 32 hours. Add 10 hours for spreadsheet cleanup, screenshots, and client reporting, and the agency has spent 42 hours before improving a single asset.

If that work is handled by a senior strategist at an internal loaded cost of $110 per hour, monitoring alone costs $4,620 per month. When the process is inconsistent, the account team also risks presenting an incomplete picture to the client, such as celebrating a page-one ranking while missing that three competitors dominate the corresponding AI answers.

The greater cost is strategic. If the client believes the agency is reporting yesterday’s version of visibility, renewal conversations become harder, regardless of how polished the SEO dashboard looks.

How Suits.ai Solves This

Suits.ai gives agencies a way to turn The Answer Visibility Shift into a repeatable client workflow rather than another collection of tabs, prompts, and spreadsheets.

GEO/AEO Snapshot: Teams can evaluate priority questions across AI answer environments, recording brand mentions, citations, linked sources, competitor inclusion, and answer themes.
Agent Builder: Agencies can encode their own GEO methodology into an agent, including what prompts to test, how to score citations, which competitors to compare, and when a result requires human review.
Client Context Intelligence: The workflow can use each client’s approved positioning, subject-matter experts, services, proof points, and strategic priorities instead of producing generic optimization advice.
Style-book and brand voice controls: Recommended content can stay aligned with the client’s editorial standards while becoming clearer, more evidence-rich, and easier to extract.
Workflow templates: Recurring steps such as prompt testing, citation capture, content-gap analysis, brief creation, executive review, and reporting can follow one documented process.
Dashboard reporting: Teams can place traditional search performance beside answer-level visibility, giving clients a more complete view of how the brand is discovered.
Client data isolation: Each client’s information remains separated, which is essential for agencies managing confidential positioning, campaign plans, and proprietary research.

The mechanism matters more than the automation claim. AI accelerates collection, comparison, and first-pass analysis. Agency strategists still determine whether a source is credible, whether a recommendation fits the communications strategy, and whether a proposed answer is accurate enough to publish.

Proof Point: What a Practical GEO Workflow Can Save

Here is an illustrative agency scenario, not a reported customer case study.

An agency monitoring eight clients reduces monthly answer checks from 32 manual hours to six hours of review by using an automated GEO/AEO Snapshot and structured exception reporting. The team saves approximately 26 hours per month, then redirects that capacity toward source development, executive interviews, content improvement, and digital PR.

At a blended billable rate of $175 per hour, those 26 hours represent $4,550 in monthly delivery capacity. The value does not come from removing strategists. It comes from keeping senior people out of repetitive prompt logging and putting them back into judgment-heavy work.

The Day-to-Day GEO Workflow for an Agency Team

Define the client’s answer territory.
The strategist selects 15 to 30 questions tied to reputation, category leadership, buyer consideration, and revenue. AI can suggest query variations, but the account lead decides which questions reflect real client priorities.
Establish a baseline snapshot.
The GEO/AEO workflow tests approved questions across relevant answer engines and records mentions, citations, sources, competitors, and brand associations. A human reviewer checks material findings before they enter a client report.
Diagnose the visibility gap.
The agent compares cited competitors with the client’s existing content, media coverage, expert profiles, and proof points. The strategist determines whether the gap comes from weak evidence, unclear positioning, poor extractability, insufficient third-party authority, or a technical discovery issue.
Choose the right intervention.
Not every visibility problem needs another blog post. The right response may be an original data study, an executive byline, a clearer service page, a journalist briefing, a comparison resource, stronger structured data, or better distribution of existing research.
Build an evidence-led content brief.
AI assembles verified source material, proposed questions, competitor citation patterns, and recommended page structure. The subject-matter expert validates the argument, and the strategist decides which claims the agency can defend publicly.
Draft for humans and answer engines.
The first draft leads with direct answers, then supports them with evidence, examples, and context. Brand voice controls keep the content recognizable, while human editors remove vague claims and confirm every quotation, statistic, and attribution.
Publish and distribute beyond the client’s website.
The team supports the asset with executive commentary, earned media, relevant community participation, partner references, and digital PR. GEO depends on authority across the wider information environment, not just on-page adjustments.
Recheck visibility and document movement.
The workflow reruns the target questions after publication and distribution. The team tracks whether the brand moved from absent to mentioned, from mentioned to cited, or from cited to prominently recommended.
Report business meaning, not citation volume alone.
The client receives a combined view of rankings, AI citations, referral traffic, branded search activity, assisted conversions, and competitive share of answer. The strategist explains what changed, what remains uncertain, and what the agency will test next.

SEO Earns the Opportunity; GEO Competes for the Answer

The agencies that win this transition will not discard SEO or pretend every AI citation produces immediate revenue. They will build on familiar search fundamentals, add stronger evidence and authority, structure expertise so it can be used accurately, and monitor how brands appear inside the answers shaping buyer perception.

That is the standard behind The Answer Visibility Shift: be findable, be defensible, be extractable, and be measurable.

If your agency is ready to turn that standard into a repeatable GEO service, book a tailored Suits.ai demo to see how client-specific agents and workflows can support the process.

Frequently Asked Questions

What is generative engine optimization, and why should agencies add GEO to their SEO services?

Generative Engine Optimization is the practice of improving a brand’s likelihood of being mentioned, cited, or recommended in AI-generated answers. Agencies should add GEO because clients are now discovered through both traditional search results and AI answer interfaces, so rankings alone no longer describe the brand’s complete search visibility.

Is GEO replacing traditional SEO?

No. GEO extends SEO by adding answer-level visibility, citation monitoring, evidence quality, and AI-engine analysis to the existing foundation of technical optimization, authority building, and useful content. Agencies still need SEO because content must be accessible and understandable before it can become a credible source for an AI-generated answer.

How can an agency measure GEO performance?

An agency can measure GEO through brand mention rate, citation rate, linked-source frequency, share of answer, competitor inclusion, brand sentiment, and the attributes associated with the client. Those indicators should be reported alongside rankings, organic traffic, AI referrals, branded search, leads, and assisted conversions rather than treated as isolated vanity metrics.

What content is most likely to earn citations from AI answer engines?

Content is more citable when it provides a direct answer supported by original data, named expertise, transparent methodology, verifiable sources, and clearly structured explanations. No format guarantees inclusion, but concise definitions, research reports, comparison pages, FAQs, expert commentary, and evidence-rich guides give retrieval systems clearer material to evaluate and reference.

How should PR agencies package GEO as a client service?

PR agencies should package GEO as a recurring visibility program that combines answer-engine monitoring, evidence development, executive authority, content optimization, digital PR, and performance reporting. The strongest offer connects GEO to the agency’s existing strengths instead of selling it as a one-time technical fix or a replacement for SEO.