Start With Free Tools: Build a Website With Ongoing SEO and GEO Optimization

Conceptual illustration: a chat request leads to a website and recurring reviews. This is not a product screenshot or evidence of growth.

Launching a product website leaves a team with plenty of work: checking that pages load, confirming that clicks are recorded, understanding where visitors come from, and deciding what to improve next.

The answers sit across a hosting platform, an analytics tool, and a search dashboard. Someone has to connect that information to the next website update.

With Leina, the team can describe the work in Slack, connect the apps needed to complete it, and receive the results in the same conversation. A website request can then become a recurring task: review performance, make changes within an agreed scope, and report what happened.

Vercel handles deployment, PostHog records on-site behavior, and Google Search Console supplies search performance data. Leina brings those tools into one workflow.

This walkthrough adapts a recorded Leina workflow to a Slack team setting. The original demonstration used Feishu; the implementation results below refer to that demonstration.

Where Free Tools Can Reduce Costs

PostHog offers a free tier, and Google Search Console is free. Vercel Hobby is limited to personal, non-commercial use; a commercial product site needs an eligible plan. Starting with free tools means using applicable free services and allowances. Check Leina, domain, and overage costs separately.

Define the Website and Its Data Requirements Together

Start by connecting Vercel, PostHog, and Google Search Console in Leina. Then give Leina a request in Slack that specifies both the website and what needs to be measured:

Create a product introduction site for Leina with a home page, pricing page, features page, and blog. Use the connected Vercel account to deploy it, add PostHog tracking and reports for key interactions, and connect Google Search Console for ongoing SEO analysis.

The request defines the pages, the apps, and the data needed after launch. That gives the team three concrete things to check: the website is accessible, important interactions are recorded, and future reviews have identifiable data sources.

The recorded example produced a product demonstration site on a Vercel domain. It identified official product information as the source of truth for features and pricing.

Three Apps, Three Views of the Website

Each app contributes a different part of the picture.

These connections give Leina access to the tools needed for the task. The available operations still depend on the authorized accounts, projects, and access scope. See secure business-app connections for the connection model.

flowchart TB
  accTitle: From Slack to a Website and Its Data
  accDescr: A team requests work in Slack. Leina uses authorized connections to Vercel, PostHog, and Google Search Console and returns the results to Slack.
  C("Slack
Requests and results"):::channel <--> L("Leina"):::agent
  L --> A("Authorized app connections"):::gateway
  A --> V("Vercel
Deployment"):::resource
  A --> P("PostHog
On-site behavior"):::resource
  A --> G("Google Search Console
Search performance"):::resource

Deliver a Website With Results the Team Can Check

In the recorded delivery, Leina reported deploying eight pages and checking that each returned HTTP 200. The demonstration then showed accessible product pages and a Vercel deployment marked Ready.

The delivery message also listed search foundations: page titles and descriptions, canonical URLs, social sharing metadata, structured data, robots.txt, a sitemap, and internal links between articles.

That creates a useful checklist for the next update. The team can review the page addresses, deployment record, and reported configuration, then repeat those checks after a change.

Verify Analytics Alongside the Pages

The demonstration also showed a PostHog dashboard. Leina reported creating 11 reports covering areas such as visits, page popularity, calls to action, internal links, reading depth, FAQ interactions, traffic sources, and devices. Browser visits and clicks were used to verify that events arrived.

A working page and a working measurement setup belong in the same delivery.

After someone clicks “View pricing,” does the expected event appear? Can the team identify the article that was visited and its reading activity? These checks establish whether the data is ready to support later analysis.

The initial counts in the demonstration came from acceptance testing. They verify event collection; assessing customer behavior requires subsequent operational data.

Keep Site Verification in the Workflow

Google Search Console introduced a step that required the site owner’s involvement. In the demonstrated setup, ownership verification was incomplete and the available authorization could not finish the operation directly.

Leina explained what remained: obtain the HTML verification tag in Search Console, provide it for insertion into the site, redeploy, and return to Google to complete verification.

The conversation made the handoff explicit. Later screens showed Search Console processing data, with insufficient usage data for some reports.

At this stage, the useful result is a foundation for collecting and checking data. Search information needs time and activity to accumulate. Early reports should describe the data that is available and the gaps that remain.

Turn a Recurring Review Into a Defined Task

Once the site is running, the team can extend the request in Slack:

Produce an SEO and click analysis report twice a month. Use the findings to improve the website within our agreed scope. Our goal is to convert more visitors into paying customers.

The next decisions are practical: which data to review, where to deliver the report, and which changes Leina may make.

The recorded example ended with an enabled SEO and conversion reporting task. Its actual schedule was 10 a.m. on the 1st and 15th of each month. That is twice monthly; a team that wants exactly every 14 days should specify that interval and confirm the intended time zone.

The configured workflow included:

1. Retrieve relevant Search Console and PostHog data.
2. Produce a PDF report with findings from the current period.
3. Check predefined conditions and make limited changes within the authorized scope.
4. Deploy, verify the affected pages and event collection, and record the changes.
5. Deliver a brief update and the report to the originating conversation—in this adaptation, Slack.

The task screen confirms that the recurring job was configured. The demonstration does not establish successful execution over multiple reporting cycles or a measured improvement in performance.

flowchart TB
  accTitle: From a Scheduled Review to the Next Improvement
  accDescr: A scheduled task collects search and behavioral data, reports gaps when data is insufficient, otherwise analyzes results and checks change conditions, then verifies any changes and delivers a report to Slack before the next cycle.
  T("Scheduled trigger"):::channel --> D("Collect search
and behavior data"):::resource
  D --> Q{"Enough data?"}:::gateway
  Q -->|No| N("Explain data gaps
and their causes"):::restricted
  Q -->|Yes| R("Analyze performance
and prepare report"):::agent
  R --> J{"Change conditions met?"}:::gateway
  J -->|Yes| E("Make scoped changes
At most two per cycle"):::agent
  E --> V("Deploy and verify
Log changes and rollback"):::resource
  J -->|No| H("Deliver update
and report to Slack"):::channel
  V --> H
  N --> H
  H --> W("Wait for next cycle"):::channel
  W -.-> T

Give Each Optimization a Clear Scope

The example limited each cycle to two changes. The allowed scope covered titles, descriptions, CTA copy, internal links, and social sharing metadata. Each change needed a reason, an expected effect, and a way to verify it.

Product facts—including pricing, features, and supported platforms—had to follow official information. Site verification tags and attribution parameters had to be preserved. Deployment checks and rollback instructions were also part of the task.

Those constraints make the work easier to review: which title changed, why a button was revised, and which metric deserves attention in the next period.

The thresholds shown in the demonstration were specific to that task. Another website should set conditions appropriate to its traffic, page purpose, and available data, while separating test activity from customer visits.

Carry the Conversion Goal Beyond the Website

The business goal was paid conversion, while the product site directly observed visits, clicks, and outbound navigation. Registration and payment happened in a separate system.

Leina’s delivery message reported adding UTM parameters to CTA links to distinguish traffic sources and button positions. Those parameters provide a starting point for tracing a visitor from the home page, features page, pricing page, or a blog article.

To identify which entry point led to a paying customer, the downstream system must preserve those parameters and associate them with registration and payment events. The recording shows preparation for that attribution; it does not demonstrate a completed payment attribution setup or a conversion lift.

The team can verify the chain in stages: first visits and clicks, then source information reaching the business system, and finally registration and payment outcomes associated with that source.

Extend Recurring SEO Work to GEO

SEO addresses search visibility. GEO, or generative engine optimization, considers whether AI answers accurately understand, mention, and cite your content. They share some content and technical foundations: Google’s guidance says foundational SEO practices also apply to its AI search features.

A proposed extension is to improve pages around customer questions, add verifiable product facts and sources, and regularly check a fixed set of questions for brand mentions, cited pages, and answer accuracy. Review those observations alongside on-site behavior before choosing the next content changes.

This is an extension to design and validate. The recording shows SEO, click analysis, and scheduled-task setup, without GEO monitoring or measured growth in AI citations. Evaluating GEO requires additional data sources and checks.

Start With One Reviewable Delivery

This workflow brings website creation, deployment checks, analytics, and recurring reviews into the team’s existing conversation. In Slack, a team member can state the objective, help with authorization or ownership verification when needed, and receive the results in the same place.

A useful first request is:

Check our product site’s deployment, key pages, and event tracking. Use authorized search and behavioral data to produce an initial report. Include sources, missing data, and the two most useful issues to address. After we review the report, schedule the workflow at an agreed frequency with explicit change limits and verification steps.

Make the first delivery verifiable, then schedule the steps that work. Each cycle can build on the same pages, measurements, and business objective.

Read the Leina team AI agent overview and team agent permission management for more on organizing this work across a team.