Pay for Performance
AI Search
Optimization Services
(AIO, GEO, and LLMO measures)
Become the company chosen by AI search.
-
AIO
AI Optimization
-
GEO
Generative Engine Optimization
-
LLMO
Large Language Model Optimization
AIO
AI Optimization
GEO
Generative Engine Optimization
LLMO
Large Language Model Optimization
Get your business featured and recommended across generative AI platforms like
ChatGPT, Gemini, Copilot, Claude, and Perplexity.
Connectablue's performance-based AI Search Optimization services: Committed to delivering real results.
Contact Us About Our Services 
Win the
AI Era.
Buyers now open a chat interface before they open a results page, and the vendors that get named there are the vendors that get shortlisted before a human ever reviews a proposal.
This is a performance-based ai search optimization services program built to close that gap: we get your company introduced and recommended by ai search engines such as ChatGPT, Gemini, Copilot, and Claude.
Generative engine optimization services demand real upfront investment, and the ROI has historically been difficult to pin down against a fast-moving target.
Our fee structure removes that uncertainty by tying cost directly to results, not to effort or promises.
Concept
Why AI Search
Optimization Is Now
Business-Critical
（AIO・GEO・LLMO）
CONCEPT
01
-
CONCEPT
01
Buyers Now Discover
and Vet Vendors
Through AI SearchCustomers increasingly search for vendors using ai search rather than a traditional search engine results page, asking a conversational question instead of typing a keyword string. AI systems influence billions of users' buying decisions monthly, and that influence starts earlier in the funnel than most companies assume.
By the time a prospect reaches your website, an ai generated answer has often shaped their shortlist, their vocabulary, and their expectations for the conversation ahead, whether or not your team was ever in the room for that first impression.
-
CONCEPT
02
If AI Doesn't
Recognize You, You're Not
in the Comparison SetGenerative engines don't show every vendor; they surface a small, curated set of ai answers drawn from whichever sources the model trusts. If a generative AI has never been trained to associate your company with a category, you are excluded before evaluation even starts, no matter how strong your actual offering is.
This is a harder failure mode than a low keyword ranking, because there is no results page to scroll further down and no second page of listings to eventually be found on.
-
CONCEPT
03
AI Search Is the
New Competitive BattlegroundSearch optimization built purely for classic rankings no longer guarantees discovery, because a growing share of research never touches a traditional results page at all. Competitors that establish citation strength inside ai platforms today gain compounding advantage as generative search results become the default entry point for technical, high-consideration purchases.
Establishing an early foothold in ai overviews and model recommendations is now a defensible, durable competitive advantage in its own right, one that gets harder for a competitor to dislodge the longer it goes uncontested.
Merit
What This Service
Delivers for Your Business
-
A New AI-Driven
Acquisition ChannelThis service opens a customer acquisition channel that traditional seo, paid search, and digital marketing don't reach: direct recommendation from ai engines, at the exact moment a buyer is forming their shortlist.
As ai driven search grows as a share of total research activity, this channel captures demand upstream, before a prospect ever runs a conventional query on a search engine or fills out a form on a competitor's site.
-
Higher Selection Odds at the
Consideration StageCitations improve the likelihood of being referenced by ai models when a buyer is actively comparing vendors against one another, which is exactly the moment that decides who gets a meeting.
We increase the probability that your company appears in that comparison set, using ai visibility as a leading indicator of pipeline health rather than a vanity metric disconnected from revenue and disconnected from what your sales team experiences in the field.
-
More Inbound Inquiries
and MeetingsImproving brand visibility inside ai generated responses translates into measurable downstream activity: more inbound inquiries, more first meetings booked, and less time spent chasing cold outreach that never converts.
Because the service is performance-based, every gain in ai search visibility is a gain you are paying for through results, not through a flat retainer billed regardless of whether recommendations materialize for prompts that matter to your business.
The Advantage of AI Search Optimization
Earning AI recommendations creates value equal to or greater than assembling the world's best consultative sales team.
Cold calling, Direct mail, Exhibitions, Ads
AI Search Optimization
Company-initiated timing
The moment of active research
Company's own sales pitch
Objective, third-party recommendation
One of many ads/pitches
A trigger for solving the challenge
Early-stage, latent needs
Active needs seeking solutions
Service
Inside the Engagement: How We Get You Recommended
-
SERVICE
Target Prompt Selection
and Design
We select and design target prompts directly linked to business outcomes, not generic keyword research borrowed from traditional seo tooling. Each prompt reflects real buyer language and search intent at a specific stage of the funnel, from early category research through late-stage vendor comparison.
This selection work anchors the entire generative engine optimization program, since every later step is measured against whether these specific prompts return a recommendation for your company by name.
-
SERVICE
AI-Optimized Content Production
and Information Structuring
Content must be structured for machine readability to improve ai citations, so we produce ai-optimized content and restructure existing information using proprietary logic developed specifically for generative engines rather than adapted from classic on-page seo.
This includes schema markup, clean information hierarchies, and llms.txt configuration, since GEO requires technical readiness that most content teams were never trained to build and most agencies still treat as optional.
-
SERVICE
Weekly Monitoring
Across Five Generative Search Platforms
We track ai visibility using enterprise-grade AIO monitoring tools and report weekly on recommendation status across five major generative search platforms, including ChatGPT, Copilot, Gemini, Claude, and Perplexity.
Monthly reporting rolls this into citation growth and AI mention tracking, so progress is never a black box between quarterly reviews, and any drop in a specific model's recommendation rate is caught and addressed within days, not months.
-
SERVICE
Continuous AI Optimization
as Algorithms Update
AI optimization has to keep pace with algorithms that change fast, since a static content strategy decays quickly against them as retrieval behavior, source weighting, and citation preferences shift without warning.
We apply real-time optimization to keep visibility consistent through model updates, continuously retuning target prompts, content structure, and citation strategy as each platform's ranking behavior evolves, rather than waiting for a scheduled quarterly refresh to catch up.
Pay for Performance
A Performance-Based Fee Structure
Built on Shared Risk
-
We Absorb
the Upfront Investment RiskAIO and LLMO optimization is a highly uncertain field, and most firms ask clients to fund that uncertainty upfront regardless of whether results ever show up.
We take the opposite approach: we absorb the initial investment risk ourselves, so your organization isn't paying for speculative work with no guarantee of a recommendation ever materializing for the prompts that matter to your pipeline.
-
Zero Fees for Results
That Don't Contribute to Your BusinessIf a target prompt returns a recommendation on an irrelevant keyword or a query with no real business value, you owe nothing for it, full stop.
Fees are earned only against outcomes that contribute to your pipeline, which keeps our incentives narrowly focused on outcomes that matter rather than surface-level citation counts that look good in a report but never turn into revenue.
-
Maximizing ROI
Through AI OptimizationBecause generative AI keeps evolving, a one-time optimization pass loses value quickly as models retrain and retrieval logic shifts underneath it.
Our performance-based model funds continuous improvement automatically: as algorithms shift, we keep tuning at no incremental cost to you, which maximizes ROI over the full life of the engagement rather than at a single point in time shortly after launch.
-
Aligned Incentives —
Your Perspective Is Our PerspectiveWe only get paid when your business benefits, so we evaluate every target prompt, every piece of content, and every platform update from the same vantage point you would if you were running this program in-house yourself.
This is a structural alignment, not a promise, since our revenue is mechanically tied to your qualifying outcomes rather than to hours logged or deliverables shipped.
Benefits of Our Performance-Based Service
As generative AI evolves daily, we continuously update your AI-optimized content at no
additional cost — helping optimize your ROI over the mid to long term.
Fixed-fee model
Performance-based model
Long upfront investment period
Low initial investment
Costs incurred regardless of results
Cost tied to results, minimizing risk
AI Model Updates
Content becomes outdated(rewrites cost extra)
Continuous optimization included,no extra cost
Objective
Content delivery is the goal
Winning AI recommendations is the goal
Outcome
Why We're Able
to Deliver Results
Our Definition of a Successful AI Recommendation
How We Define and Track Success
Success is defined precisely: securing an AI recommendation for a target prompt on at least one major platform, not a vague improvement in some abstract sentiment score. This precision matters, because loose promises about improved ai visibility are unfalsifiable, while a named recommendation on a named prompt and platform is something that is either delivered or not, with nowhere to hide either way.
Measured Across ChatGPT,
Copilot,
Gemini, Claude, and Perplexity
We measure citation growth and brand mentions in ai search results across ChatGPT, Copilot, Gemini, Claude, and Perplexity, rather than optimizing for a single platform and hoping the rest follow. These ai visibility metrics connect directly to overall content performance, and GEO performance is ultimately reported as content citation frequency across this five-model set, not a single vendor's proprietary dashboard number.
-
Reason 01
Consulting-Grade
Business Understanding
and Prompt Design ExpertiseEffective target prompts require real business understanding, not a template keyword list pulled from a generic tool.
As a consulting firm first, we bring deep expertise in designing high-performing prompts grounded in how your buyers think, search, and phrase problems, which is what separates durable ai search optimization services from generic content production built for volume rather than relevance.
-
Reason 02
Proprietary AI Tools
and
Mathematical Models
(70%+
Internal Recommendation Rate)Our ai search optimization know-how is powered by proprietary AI tools and mathematical models, and it is highly reproducible: internal validation has achieved a recommendation rate of over 70 percent across tested prompts.
AI systems analyze user intent to determine relevance and context, and our models are built to match that underlying logic directly rather than reverse-engineering surface-level keyword patterns.
-
Reason 03
A Dedicated Team
Tracking AI Engines'
Rapid EvolutionA dedicated team continuously analyzes the rapidly evolving updates across ai engines, so your program never runs on stale assumptions about how a given platform ranks, retrieves, or selects sources for a response.
This ongoing analysis is what allows real-time optimization to function as a standing practice rather than a one-time project that quietly goes stale within a quarter of delivery.
Use Case
Case Studies
-
For Materials Manufacturers: 150% Increase in Sample Requests for New Materials
Information about the properties and applications of our new materials was not sufficiently reflected in search engines, posing a challenge for brand awareness. By optimizing the information structure of our material data for AIO, touchpoints via AI-powered search increased, resulting in a 150% boost in sample requests.
-
For System Integrators: 180% Increase in New Inquiries via Website
We faced a challenge where our company's strengths and technical information were not being properly conveyed through search engines. By optimizing information visibility in AI search results through AIO, our expertise was accurately communicated, resulting in a 180% increase in new inquiries via our website.
-
For Parts Manufacturers: 250% Increase in Prototype Requests via Website
We faced the challenge of our technical information being too specialized for AI search engines to properly understand. By structuring and optimizing our product and technical data through AIO, our visibility in AI searches increased, resulting in a 250% boost in prototype requests.
-
For SaaS Providers: 200% Increase in New Inquiries via Website
Our features and implementation benefits were rarely reflected in AI search results, leading to a lack of touchpoints during the comparison and evaluation stage. By implementing measures to accurately convey our service features to AI through AIO, new inquiries via our website increased by 200%.
Get In Touch
If you are grappling with taking on new initiatives or pursuing fundamental transformation from your current state, please don't hesitate to reach out. In our consultation, we will carefully and sincerely walk you through not only our service offerings and pricing, but also our initial hypotheses toward solving your challenges — we are confident you find value in the conversation itself.
If you are grappling with taking on new initiatives or pursuing fundamental transformation from your current state, please don't hesitate to reach out. In our consultation, we will carefully and sincerely walk you through not only our service offerings and pricing, but also our initial hypotheses toward solving your challenges — we are confident you find value in the conversation itself.
FAQ
Frequently Asked Questions
QWhat is generative engine optimization GEO and how is it different from search engine optimization?
Generative engine optimization (GEO) is the practice of improving how a brand appears inside AI-generated answers rather than only in a list of blue links. Geo focuses on being part of AI output, not just rankings, which is the core distinction from classic search engine optimization. SEO optimizes for search rankings in SERPs, using signals like backlinks and on-page keywords, while GEO is concerned with whether a brand is cited, summarized, or recommended by an AI system directly.
QHow has AI powered search changed modern search behavior?
The rise of AI powered search and ai powered search experiences has shifted how people search away from scanning ten results toward reading a single synthesized answer. Ai search engines now generate a conversational response first and list sources second, so ranking position alone no longer guarantees visibility. This shift in search behavior is the main reason brands are investing in AI search optimization support alongside traditional SEO.
QWhat role do ai engines, ai assistants, and ai agents play in producing ai generated results?
Ai engines and ai assistants pull from indexed, structured, and frequently cited content to assemble ai generated results in real time. Ai agents extend this further by taking multi-step actions on a user's behalf, such as comparing products or booking a service, which means a brand's content needs to be both easy to find and easy to trust for these systems to select it.
QDo Google AI Overviews and AI Mode affect search engine rankings?
Yes. Google AI Overviews and AI Mode sit above traditional listings, which changes how search engine rankings translate into visible traffic. Search rankings still matter as an input signal, but SEO metrics such as keyword rankings and organic traffic no longer tell the full story once ai generated responses answer the query before a user scrolls further.
QWhat is answer engine optimization, and how does it connect to conversational search and voice search?
Answer engine optimization is the discipline of structuring content so it can be extracted cleanly and read aloud or summarized by an assistant. It is closely tied to conversational search and voice search, both of which favor concise, directly worded answers over long-form pages. As search platforms increasingly support spoken and multi-turn queries, this approach and ai driven search experiences are becoming standard parts of a content plan.
QShould a business build a separate ai seo strategy, or fold AI work into its existing seo strategy?
Most digital marketing teams don't need two separate playbooks. A custom strategy typically blends a traditional seo strategy with dedicated ai seo tactics under one search strategy and digital strategy umbrella, since the two disciplines share a common foundation of quality content and technical health, feeding into one shared content strategy. AI search strategies should align with traditional SEO practices rather than compete with them for budget or resources.
QWhat generative engine optimization strategies improve visibility across both ai platforms?
Effective generative engine optimization strategies include earning citations, publishing clearly structured facts, and monitoring how a brand is discovered across both ai platforms. Ai optimization work also supports ai discovery and ai driven discovery, helping a brand surface naturally when a system is deciding which sources to trust, factored into every digital strategy. Generative Engine Optimization (GEO) helps brands appear in AI-generated answers, which is the outcome all of these tactics are working toward.
QWhat technical work, like structured data implementation, supports strong ai search insights?
Technical seo work — including structured data and full structured data implementation such as schema markup and an llms.txt file — gives AI systems a machine-readable map of a site's content. This groundwork improves content optimization and search performance over time, and it's also what produces reliable ai search insights for tracking citation growth and AI mentions month over month.
QIs GEO replacing traditional search, or working alongside it?
Search evolves rather than resets: traditional search results and traditional search experiences haven't disappeared, and both traditional search and AI-driven discovery now coexist on the same results page. GEO complements SEO rather than replacing it, so focusing solely on one channel leaves visibility gaps in the other. The strongest approach treats every capability across each platform — traditional and generative — as part of one connected strategy.
QWhat are large language models, and how do they use search features to answer questions?
Large language models are the ai powered systems behind tools like ChatGPT and Google's AI Overviews; they generate answers by predicting language patterns learned from large volumes of text, then supplement that knowledge with live search features and retrieval tools to stay current. Understanding how these ai models select and weight sources is central to any ai search optimization services.