Lexsis AI / SEO agents
SEO agents that turn search gaps into revenue.
Lexsis AI agents research search demand, rank the next commercial opportunity, prepare the change, and keep the result attached to the evidence.
Illustrative agent run
From search gap to revenue.
Agent prepares the next move
Revenue signalMore qualified demand reaches the page.
Next actionPublish after review
Agents turn the next high-value search gap into a reviewable path to revenue.
Built from the signals already in your store
ShopifySearch ConsoleAnalyticsReviewsSupportAI search
The mechanism
The work does not stop at finding a problem.
An agent run moves from evidence to a ranked opportunity, then into a reviewable change and a measurable result. Every handoff leaves something the next agent can use.
Signals in
Catalog and templates
Search and AI surfaces
Customer language
LAgent runEvidence to opportunity to outcome
Artifacts out
Intent map
Ranked opportunity
Change Set and outcome
Verified customer story
DRANKS moved from invisible to AI-cited in 30 days.
The team built the structured evidence trail needed to appear in ChatGPT, Google AI Overviews, and organic search alongside established competitors.
Read the DRANKS case study- AI visibility
- 16/100 to 60/100
- AI-search mentions
- 0 to 3 surfaces
- Google ranking
- #1 in 7 days
The agent system
Four agents. One connected SEO loop.
Each agent owns one decision in the loop. The output is durable context, so the next step never starts from a blank page.
The Research Agent reads demand, competitor pages, AI answers, and customer language to build a grounded intent map.
Leaves behind Research briefThe Opportunity Agent connects the gap to an affected page, commercial importance, confidence, and the next useful action.
Leaves behind Ranked opportunityThe Change Agent creates a before and after Change Set for copy, metadata, schema, and internal links without hiding the evidence.
Leaves behind Reviewable Change SetThe Measurement Agent re-checks indexing, rankings, citations, clicks, and conversion signals so the next decision starts with history.
Leaves behind Outcome recordDemand signals
summer skin routinequery
lightweight daily carecustomer
competitor category pagepage
Intent mapLightweight careObserved across search and reviews
Evidence attachedNext agent ready
Agents with guardrails
Agents move fast. Your team keeps the keys.
Low-risk work can move forward. Claims, pricing, canonicals, and theme changes stay on a visible approval path with rollback.
Low risk
Validated metadata, schema, sitemap, and Lexsis-owned links.
Can be auto-appliedReview required
Product copy, collection content, and merchant-owned theme changes.
Team approvalHigh risk
Claims, pricing, canonicals, robots directives, and bulk redirects.
Approval + rollbackThe output of an agent run
Every agent run leaves something useful behind.
Research brief
Demand, customer language, competitor evidence, and the intent map behind the recommendation.
Ranked opportunity
The affected page, commercial importance, confidence, and next useful action.
Change Set and outcome
A reviewable before and after, followed by the indexing, visibility, and conversion observations.
Questions teams ask before switching.
Practical answers about Shopify, approvals, automation, AI visibility, and how Lexsis measures the work.
7 practical answersThe next useful conversation
Give your SEO loop a set of agents.
See how Lexsis turns search demand into revenue.