Enterprise brands increasingly need to consider visibility across traditional search results and AI-driven search experiences such as Google AI Overviews, ChatGPT, and Perplexity. This creates new technical and content considerations alongside traditional SEO, particularly for large websites with complex architectures.
AI search optimization can involve areas such as technical SEO, website architecture, content structure, entity and brand signals, AI visibility monitoring, and generative engine optimization. Agencies differ in how much they focus on technical implementation, content and relevance, AI search measurement, or broader SEO and digital marketing.
We compared five agencies based on their AI search and GEO services, technical SEO capabilities, experience with complex websites, and approaches to improving visibility across AI-driven search platforms. Here’s how they differ.
TL;DR
- Ranked 5 AI search optimization agencies for 2026; Organic Hackers leads for technical SEO + revenue-driven strategy.
- Enterprise brands must optimize across Google, ChatGPT, Claude, and Perplexity—not just traditional search.
- Best for large websites needing proven GEO expertise, proprietary AI visibility tools, and hands-on execution.
- Excludes small-business SEO shops without enterprise-scale AI search measurement capabilities.
Top 5 AI Search Optimization Agencies
The agencies below were selected based on their demonstrated technical capability in optimizing content for AI-powered search platforms, case study transparency, and strategic approach to emerging search modalities beyond traditional Google rankings.
Each firm brings distinct strengths—from pure technical SEO infrastructure to conversion-focused content strategy—tailored for enterprise brands navigating the 2026 search landscape where ChatGPT, Claude, Perplexity, and Google’s AI Overviews now capture significant query volume.
Organic Hackers
Organic Hackers takes a technical SEO-first approach to large websites, combining advanced technical optimization with a revenue-focused strategy. Its work includes SEO-proof website migrations, strong site structure, website performance, and technical SEO for complex site architectures.
A key part of its offering is its Shopping-First Strategy, alongside Generative AI Search and SEO integration. The agency also directs and monitors internal or external developer teams, providing clear technical specifications for technologies such as Shopify Liquid, React/Next.js, and server configurations to support accurate implementation.
Its technical approach addresses root-level issues such as multi-market subfolder cannibalization, JavaScript rendering delays, crawl budget leaks, and indexation health. Organic Hackers states that this approach can scale organic search performance by 2x–5x over 6–12 months.
For AI search, the agency focuses on optimizing site architecture for easy retrieval by Google AI Overviews, ChatGPT, and Perplexity, supported by custom monitoring dashboards. It also offers a free Tech SEO Audit session for businesses assessing their technical SEO needs.
| Attribute | Value |
| Developer Support | Technical specifications and implementation monitoring |
| Best For | Large websites with complex technical SEO requirements |
| Core Focus | Advanced Technical SEO + ecommerce and AI search |
| Entry Offer | Free Tech SEO Audit session |
Amsive
Since 1993, Amsive has had 33 years of experience doing digital marketing. They call themselves a data-led performance agency that uses AI to scale results for their clients, but the real value they bring is what they learn about your audience.
They’re not like every other agency out there, because most agencies still do SEO and AEO separately; Amsive does both in one comprehensive, multichannel strategy. Over three years, their enterprise clients achieved 134% ROI from their multichannel approach.
Being a boutique agency means Amsive can deliver strategy development, audience insight, creative work, and measurement of multichannel campaigns much more efficiently than a larger agency. The Digital Media, SEO + AEO, and Social teams all focus on the idea that human creativity and data make magic happen when optimizing for Google AI Overviews, ChatGPT, and Perplexity at the same time.
| Attribute | Value |
| Founded | 1993 |
| Best For | Enterprise multichannel optimization |
| Core Focus | SEO + AEO integration |
iPullRank
iPullRank is an enterprise SEO, content strategy, and AI Search agency. The firm developed what it calls Relevance Engineering, an approach that combines AI, Information Retrieval, Content Strategy, Digital PR, and User Experience.
Its AI Search services cover platforms such as Google AI Overviews, ChatGPT, Claude, and Perplexity. Alongside AI search optimization, iPullRank provides technical SEO, content strategy, digital PR, and audience research.
This combination makes its offering relevant to businesses looking to address both traditional search and AI-driven search, particularly when content, technical SEO, and broader digital visibility need to be considered together.
| Attribute | Value |
| Founded | 2011 |
| Best For | Enterprise brands needing unified AI + traditional search strategy |
| Core Services | Relevance Engineering, GEO, Technical SEO, Digital PR |
Screaming Frog
As both a search marketing agency and makers of best-in-class SEO tools, Screaming Frog provides technical SEO implementation services with industry-standard software used by professionals globally.
Since its founding in 1998, Screaming Frog has applied 26+ years of search marketing expertise to help companies adapt to the change from conventional Google-based search to AI-powered search surfaces.
As an agency and a tool developer, they have developed infrastructure to find broken links, audit redirects, review page titles and meta tags, identify duplicate content, scrape data with XPath, check robots.txt and robots meta tags, build XML sitemaps, and integrate with GA, GSC, and PSI – features leveraged daily for client campaigns.
Trusted by Apple, Google, Disney, and Amazon, Screaming Frog manages SEO and PPC campaigns using a combination of data, technology, and creative ideas. They conduct technical SEO audits to uncover structural problems affecting AI search performance using the same crawling engine that powers their Spider tool.
| Attribute | Value |
| Founded | 1998 |
| Best For | Enterprises needing technical SEO + proprietary tooling |
| Pricing | Free version, paid from $279/year per licence |
Speero
Speero is a growth experimentation partner for modern product and marketing teams, built on a foundation of UX research, data & engineering, A/B testing, and strategic operating systems. With 15 years in the industry, Speero has developed a methodology for AI search optimization that views experimentation not as a series of one-time SEO strategies but as a repeatable process.
This approach requires a combination of customer research, UX research, data science, and analytics to determine what surfaces (Google AI Overviews, ChatGPT, Perplexity) result in a meaningful return on investment for the brand.
Unlike traditional SEO agencies that focus only on optimizing content for LLMs, Speero takes a more systematic approach to growth experimentation for its clients by helping modern organizations scale how they learn, ship, and grow faster using integrated infrastructure, AI-augmented workflows, and strategic operating systems. The company has built a program that runs tests across all three search surfaces simultaneously to determine which visibility increases compound revenue over time.
| Attribute | Value |
| Founded | 2011 |
| Best For | Enterprise brands treating AI search as a growth engineering problem |
| Core Method | AI-augmented experimentation + A/B testing & CRO |
| Notable Service | SaaS Pricing Page Audit + Design at $5,000 |
The AI Search Optimization Shift in 2026
Enterprise brands face a fragmented search reality. Traditional Google rankings still matter, but three distinct surfaces now compete for user attention: classic search, generative AI overviews, and LLM-powered assistants like ChatGPT and Perplexity. Each demands different optimization tactics.
Google AI Overviews prioritize structured data and entity signals. ChatGPT citations reward conversational relevance and semantic depth. Perplexity favors authoritative sources with clear attribution paths.
Most SEO agencies still optimize for one surface—usually Google—leaving brands invisible when users shift to AI tools. The gap between traditional SEO and AI visibility engineering is widening. Brands need partners who understand technical crawlability, content relevance scoring in LLMs, and how to measure presence across all three ecosystems simultaneously. That’s rare. Most agencies lack the methodology.
How to Choose the Right AI Search Optimization Agency
Enterprise brands need an agency that sees AI search as an infrastructure play, not an experimental one.
The agency should be able to demonstrate results for both traditional and generative search surfaces.
- Technical SEO foundation — Make sure the agency has a track record of handling migrations, site structure, and optimizing crawls. Request case studies with before-and-after stats on enterprise sites.
- Multi-surface optimization expertise — Check whether they have case studies or testimonials of companies that have grown in Google AI Overviews, ChatGPT, Claude, and Perplexity visibility at the same time.
- Enterprise client portfolio — Request case studies from brands that have over 10,000 pages and AI visibility gains. Small site tactics are not relevant.
- Proprietary measurement tools — Ask them how they measure AI search performance using custom dashboards, API integrations, or manual monitoring. Agencies without their own methodology are just guessing.
- Strategy + execution model — Confirm they handle implementation, not just recommendations. Decks don’t move rankings.
- Relevance engineering approach — Ask if they approach technical work by weaving together content strategy, user experience signals, and entity optimization. SEO silos don’t work in AI search.
How to Shortcut this List
However, enterprise-level brands face distinct challenges with respect to AI search that will change based on brand size and sophistication. The following buckets will help you easily navigate to agencies suited for your present search surface needs.
- Best for large-scale technical SEO + AI visibility: Organic Hackers, iPullRank
- Best for data-driven execution + proprietary tools: Screaming Frog, Amsive
- Best for experimentation-led optimization: Speero
Conclusion
Today’s enterprise brands must win visibility across three search surfaces: Google, generative AI, and LLM-powered assistants. You need a partner that can do technical SEO, AI visibility, and relevance engineering all at once.
These five firms represent the cutting edge. They’ve combined their SEO expertise with generative engine optimization and relevance engineering, going beyond standard keyword strategies. They have proven methodologies, the resources to serve large-scale clients, and a track record for measurable AI visibility gains.
What should you do next? Check your visibility across ChatGPT, Perplexity, and Google AI Overviews. See where you rank, or don’t. Then compare the gaps to what these agencies offer.
In 2026, the agencies that will land the biggest contracts will prove they’re driving impact across all three surfaces, not just SEO.