Make your product easier to find, understand, and choose.
We structure your product and public knowledge so AI assistants can describe it accurately, then improve the path from discovery to activation. The work connects answer visibility, onboarding, conversion, and the metric your team needs to move.
- AI discovery review
- Answer monitoring
- Structured product content
- Onboarding and activation
Common picks are three tools that publish clear pricing, agency case studies, and comparison pages. Yours is not cited.
Competitor A
Cited 4 times
Pricing page
Clear plan tableCompetitor B
Cited 3 times
Case studies
Agency examplesYour product
Not cited
No page
No comparison page
AI answer check
Discovery and activation are now one product problem.
Buyers increasingly ask AI assistants to compare products, explain a category, or recommend a tool. If the assistant cannot understand your product, it cannot cite or recommend it. You lose the opportunity before a visit begins.
The second leak happens inside the product. Clear discovery still needs a clear first step, useful onboarding, and a reason to continue. We connect both sides without turning the work into keyword stuffing or a separate marketing silo.
People ask an assistant what to use, then arrive with a short list. We do not know how our product appears in that answer, and the visitors who do arrive still drift before they reach value.
- 8%of visits click a result when an AI summary appears, against 15% withoutPew Research Center, 2025
- 1.5B+people use Google AI Overviews, across 200 countriesGoogle, 2025
- 80%of consumers rely on zero-click results for at least 40% of searchesBain and Company, 2025
We connect the discovery layer to the product growth layer.
- 01
AI discovery review
See how assistants describe, compare, cite, and miss your product across important questions.
Targets visibility - 02
Answer monitoring
Track how the answer changes over time and where competitors or weak sources take your place.
Targets share of answer - 03
Structured product content
Make your product, use cases, proof, and limits easier for people and machines to understand.
Targets discovery - 04
Onboarding and activation
Move new users from an informed first visit to the first outcome that proves the product's value.
Targets activation - 05
Conversion and upgrade flows
Improve pricing, paywalls, prompts, and in-product decisions around the moments that move revenue.
Targets conversion - 06
Growth feedback loop
Connect answer visibility, product behavior, and revenue signals so each cycle improves the next decision.
Targets learning
This is product-led and design-led work. No link farms, no keyword stuffing, and no chasing a metric your business does not use.
From invisible to understood, then from visitor to user.
Audit the answer and the path.
We see how assistants describe you and where a new visitor loses the path to first value.
Weeks 1-2Choose the highest-value moves.
We rank discovery, content, onboarding, and conversion changes by projected return.
Week 3Build the source and the flow.
We improve machine-readable content, product explanations, onboarding, and the key decision points.
Weeks 4-7Instrument the outcome.
We connect answer visibility and product events to the metric that tells you whether the work matters.
Week 8Review and iterate.
We watch the answers and the funnel together, then improve the next weak point instead of guessing.
MonthlyFrom invisible to understood, then from visitor to user.
Audit the answer and the path.
We see how assistants describe you and where a new visitor loses the path to first value.
Choose the highest-value moves.
We rank discovery, content, onboarding, and conversion changes by projected return.
Build the source and the flow.
We improve machine-readable content, product explanations, onboarding, and the key decision points.
Instrument the outcome.
We connect answer visibility and product events to the metric that tells you whether the work matters.
Review and iterate.
We watch the answers and the funnel together, then improve the next weak point instead of guessing.
Discovery, product experience, and measurement in one loop.
The stack stays practical. We use the sources, tools, and events that let your team see what changed.
- 01Answer researchQuestions, assistant comparisons, source review, and a record of how the product appears.
- 02Structured contentClear information architecture, schema, machine-readable pages, and maintained product knowledge.
- 03Product messagingUse cases, proof, boundaries, and category language that help people and assistants understand the fit.
- 04Growth experienceReact, Next.js, TypeScript, onboarding, activation, conversion, and upgrade flows.
- 05Product analyticsEvents and funnels that show the path from first visit to activation, conversion, or expansion.
- 06Review cycleA regular comparison of AI answers, product behavior, and the metric the work is meant to move.
A clearer answer and a stronger path to value.

- Discovery baselineA record of how assistants currently describe, cite, and compare your product.
- Machine-readable sourceStructured pages and product knowledge that make the important answer easier to retrieve.
- Content and message planThe pages, proof, use cases, and product explanations that need to improve.
- Activation flowsOnboarding and first-value paths designed around the user and the target metric.
- Conversion improvementsPricing, upgrade, and in-product decisions shaped around the moments that matter.
- Measurement loopEvents and reviews that connect answer visibility to product and revenue behavior.
The Ship-It Guarantee
We agree on the scope and launch date before the build begins. You always know what is included, what is out of scope, what comes next, and when it will ship. If we miss the deadline because of our work, the final payment is on us.
Clear scope, close collaboration, useful handoff.
The same operating commitments apply whether you start with an audit, a build, a rescue, or growth work.
- Founder inevery engagement
- Senior teamno shared pool
- Fixed scopeprice agreed first
- Weekly reviewshared channel
- Your repodesign files
- Stop anytimeno notice period
- 01Start here
AI Experience Audit
A fixed price, two week audit that finds where AI can move a metric in your product, and where it cannot.
- Ranked AI opportunities
- Projected return by metric
- Adoption and friction review
- 02
AI Experience Build
We build the opportunity your audit proves. Fixed scope, fixed price, same team from strategy through handoff.
- AI experience design
- Production build in your stack
- Guardrails and fallbacks
- 03
AI Growth Sprints
Keep improving the AI layer after launch. Book one sprint at a time when the next improvement is clear.
- Plan against the audit projection
- Evals and live monitoring
- One improvement per sprint
Design the layer people use and agents can understand.
Your buyers use agents to research products, and your users will ask agents to complete work inside them. We design the boundaries, sources, and actions for both sides of that interaction.
- This service
Agentic website
A site with clear, machine-readable answers that agents can cite for buyers. Your team keeps approval over what gets published.
yoursite.com/llms.txt- Structured source
- Machine-readable pages
- Review before publish
Agentic application
An agent inside the product that plans and acts with visible steps, clear approval points, and a way to undo the work.
- Planning
- Needs approval
- Completed
- Handed back
Agentic workflows
Agents that run repeatable work behind the product, with checks, logs, and a human checkpoint when a wrong action is expensive.
TriggerAgentReviewSystem of record
Not sure which one you need? The AX Audit covers AI and agentic experience: how people use your AI, and how agents read and act on your product.See the AX Audit
Senior product, design, and engineering in one room.
- 11companies the team has built insideEmployment and contract work, 2019 to today
- 13products shipped to productionCounted, not estimated
- 8industries servedThe same eight on the industries page
- 7+years shipping softwareFounder, first production release to today
- 10+senior designers and engineersEvery one has shipped to production
Shahriar has a deep understanding of frontend development frameworks and consistently delivers high-quality solutions. He is a valuable team player with excellent communication skills and a proactive approach. I highly recommend him!
ASM Mobarak HossainAI Specialist, IBMWorked together @ShareTripWhere this service does its best work.
A revenue product, a healthcare workflow, and a developer tool need different boundaries. See how the work changes with the context.
Questions your team may ask.
Is this an SEO service?
No. We do not sell rankings or link building. We make your product easier for AI assistants and people to understand, then improve the product path from discovery to value.
What does AEO (answer engine optimization) mean here?
How do you measure the work?
Which AI assistants do you look at?
Do you change our website?
How long before we see results?
Discovery only matters when the product can carry it.
Being named in an answer is the first step. The product still needs to explain the fit, create a useful first moment, and give the right user a reason to continue.
The audit ranks the discovery and growth moves that can return the most. We then build the sources, flows, and measurement that let you see whether they do.
- This serviceAI Discovery & GrowthMake your product easier to find, understand, and choose.AI discovery reviewAnswer monitoringStructured product contentOnboarding and activationConversion and upgrade flowsGrowth feedback loopYou are here
- 01AI Experience (AX) AuditKnow where AI is worth building before you spend on it.Opportunity mapMetric modelAdoption teardownData readinessWorking concept demoStop listExplore service
- 02AI Product & UX DesignDesign AI people understand before they decide to trust it.Copilot and assistant designPrompt experienceTrust and confidenceFailure recoveryAI onboardingHuman-in-the-loop flowsExplore service
- 03AI SaaS & MVP DevelopmentBuild the product foundation your AI layer needs.Product strategyMVP experience designProduct architectureFull-stack developmentAI feature engineeringTesting and refinementExplore service
- 04AI Automation & GTM AgentsAutomate the work that slows the team down.Workflow automationAI agentsCRM and GTM operationsSupport automationDocument processingAgentic GTM systemsExplore service
- 05AI Redesign & RescueGive an underused AI feature a better second release.Failure diagnosisAI feature rebuildExperience rescueReliability evaluationSecond releaseAdoption trackingExplore service
Be easier to find, then easier to choose.
A 14-day audit shows how assistants see your product and where new users lose the path to value. You get a plan to improve both, or a clear reason not to.
- NDA from the first conversation.
- Response within 24 hours, guaranteed.
- Founder-led from first call to handoff.






























