Own the category that turns a website into an active salesperson.
The goal isn't more traffic. It's more demos, higher-quality leads, and a stronger position in both Google and AI answer engines. This document is the 90-day plan to get Revdot named as the Finnish answer to "best AI chatbot for businesses" — in classic search and in ChatGPT, Perplexity, Gemini, and Google's AI Overviews.
Revdot should own one category in Finland.
That category: "AI chatbot for businesses that unifies customer service, sales, lead capture and on-site conversion." The current positioning already says this — the work is to make it unmissable to search engines and AI answer engines.
Primary objectives
- Rank for queries such as AI chatbot for business, tekoäly chatbot, chatbot for websites, customer support automation, lead generation from websites, chatbot pricing.
- Build Revdot into a credible alternative to traditional chat widgets, plain contact forms and button-flow bots.
- Be cited in AI answers when buyers ask "What is a good AI chatbot for a Finnish company?" or "Which chatbot fits a Finnish SMB?"
- Convert organic traffic directly into demo bookings.
More landing pages. The homepage cannot carry every buying motive.
Keep the existing top-level pages (home, pricing, FAQ, demo) but build content clusters around them. The new money pages below target the commercial searches that drive demos.
- What the chatbot actually does for a business
- Where it fits — and where it does not
- Customer service vs sales vs lead capture
- Examples: e-commerce, B2B service, real estate, recruitment, hospitality
- How Revdot differs from rule-based chatbots
- CTA: book a free demo
- How the bot is added to the site
- Performance impact (or absence of it)
- What data the bot needs
- How the bot is trained
- Webflow, WordPress, Shopify, custom builds
- One small script — light install
- FAQs answered automatically
- 24/7 coverage
- Routing the user to the right page
- Escalation to a human
- Conversation data & continuous improvement
- Case-style example: Europark-shape support bot
- Why a plain form often isn't enough
- How the bot asks the right follow-up questions
- How leads are qualified
- How data flows to email / CRM
- How the bot beats a static CTA on conversion
Pricing page
The current /ai-chatbot-hinta already exists. Optimize the same URL to also cover chatbot pricing, AI chatbot pricing, tekoäly chatbot hinta — or, if a cleaner kw match is needed, add /chatbot-pricing with a 301 from the legacy slug. Revdot's pricing is a real competitive advantage and should be visible in both search snippets and AI answers.
Buyers compare before they pick. Show up in that comparison.
These pages are likely to be the single highest-leverage content type — they catch buyers in evaluation mode and AI answer engines extract structured comparison tables almost verbatim.
Don't be aggressive. The better angle is teaching the buyer what to compare:
| Comparison criterion | Why it matters | What Revdot offers |
|---|---|---|
| Training on company content | Bot answers correctly | Website, PDFs, FAQs, documents |
| Lead capture | Direct business impact | Forms, CRM routing, email |
| Custom logic | More than Q&A | Product search, calculators, InPage bots |
| Dashboard & conversation data | Continuous improvement | Conversations, volumes, repeat questions |
| Pricing | Easy to buy | Basic, Pro, Custom — published openly |
| Visual quality | Brand fit on the site | Themed widget, brand tokens, dark/light |
| Time to launch | Pays back faster | Free demo built on the prospect's site |
One page per vertical. Same product, different language.
Each industry page reuses the core arguments but must have its own real use case, examples and FAQ. Generic copy across industries loses to a competitor that writes for one specific buyer.
- Product recommendations
- Filter by size, price, category, use case
- Product cards inside the chat
- Remove friction in the buying flow
- Example: "Show me e-bikes under €3 000 for city riding"
- Surface listings on demand
- Common buyer questions
- Seller-lead capture
- Property valuation request flow
- Showing bookings
- Candidate questions answered
- Routing to open roles
- CV-database submission
- Recruitment process FAQ
- Availability, prices, routes, schedules
- Multilingual
- Lower load on customer service
- Supports the booking journey
- Long sales cycles
- Lead qualification
- Service selection guidance
- Demo / sales-meeting booking
"We'll build you a free demo on your own site." — used identically across all industry pages so the offer is consistent and unambiguous.
Articles educate, build trust and back the money pages with internal links.
The blog is not a traffic project. It's a credibility and internal-linking project. Each article links to at least one money page and is structured for AI extraction (clear question in H2, direct answer in the first paragraph, a table where useful).
Decision-support articles
- What is an AI chatbot and how is it different from a normal one?
- AI chatbot for business: where does it actually pay back?
- How much does an AI chatbot cost in 2026?
- How is a chatbot trained on a company's own content?
- How to make sure an AI chatbot doesn't hallucinate
- What a good chatbot demo tells you before you buy
- Chatbot vs contact form: which produces better leads?
- How an AI chatbot improves website conversion
- How to integrate an AI chatbot with your CRM
- Which conversation metrics actually matter
GEO-friendly articles
- Best AI chatbot for a Finnish business: what to compare
- AI chatbot for customer service: benefits, risks, examples
- AI chatbot for sales: how the bot detects buying intent
- AI chatbot for e-commerce: recommendations & buying support
- AI agent vs chatbot — what's the difference
- How to prepare your company content for an AI chatbot
- How AI chatbots work on Webflow, WordPress and Shopify
- Why many chatbots fail — 7 common reasons
- AI chatbots and GDPR — what businesses need to consider
- How to build a chatbot that doesn't just answer but generates leads
Don't game it. Make the content easy for an AI to quote.
Google's own guidance says AI Overviews and AI Mode do not need separate "AI optimization" — the same SEO fundamentals apply. The advantage comes from structure, not from tricks.
1 · Answer blocks every important page should carry
2 · Use tables and comparisons
AI engines extract structured tables and lists much more readily than prose. See the comparison table in section 03 — that's the format.
3 · Structured data that matches visible content
Especially important: Product / Offer markup on the pricing page for Basic, Pro and Custom — if it can be implemented cleanly.
4 · llms.txt — carefully
Worth adding, but not as a magic solution. Search Engine Land's January 2026 analysis showed llms.txt alone didn't explain AI-traffic growth — better content structure, FAQ pages, comparison tables, tools, and fixing technical issues did. A reasonable Revdot llms.txt would list: home, pricing, FAQ, the money pages, industry pages, comparison pages, case studies. But the bulk of the GEO work is still the structure and content on the site itself.
Boring fundamentals. Skip none of them.
- Unique title and meta description on every page
- One H1 per page; clear H2 / H3 hierarchy
- Important content as text, not trapped in images or animations
- Internal links between money pages and blog
- Clean sitemap; robots.txt that doesn't block anything important
- Correct canonicals — particularly across language versions
- Correct hreflang on FI / EN pairs
- Alt text on images
- Fast load — the chatbot widget must not block main-thread rendering
- FAQ content visible as text, not hidden inside JS-only accordions
- Case study pages indexable, where the customer has approved
Google's reminder: important content must be in text and reachable via internal links.
Cases are critical for both SEO and the sales conversation.
Case page structure
- Customer & industry
- Starting situation
- Challenge
- Solution
- How the bot works
- Integrations or custom logic that was built
- Results
- What was learned
- CTA: "Want a demo like this?"
If exact numbers can't be shown
First case pages
These should also be internally linked from the matching industry page.
Three CTA strengths on every page — never let a reader dead-end.
The free-on-site demo is Revdot's best conversion hook because the promise is concrete: the buyer doesn't purchase an abstract AI product — they see their own site with the bot live. The contact page already promises this. Repeat the promise across the entire site.
Every blog points up; every money page points across.
Linking discipline turns isolated pages into a topical cluster. AI engines and Google's quality systems both reward this.
From homepage
- AI chatbot for business · Pricing · Demo · Industries · Case studies · FAQ
From a blog article — always at least one money-page link
From comparison pages
- Pricing · Demo · "What to compare in a chatbot" · Case studies
Five clusters in Finnish, one in English.
More competitive globally — but earns international leads and supports entity recognition in AI answers.
Foundations first. Money pages next. Comparisons and cases last.
- Tighten homepage title / meta / H1 / H2
- Optimize the pricing page for kw & AI extraction
- Expand the FAQ page
- Search Console + GA4 + conversion events
- Structured data: Organization, FAQPage, Product / Offer
- Sitemap · robots · canonicals · hreflang
- Internal links from existing pages to the new ones being planned
- AI chatbot for business
- Chatbot for websites
- Customer support automation
- Lead generation from websites
- AI chatbot pricing — expansion of the current page
- Best AI chatbot for business
- AI chatbot for e-commerce
- AI chatbot for B2B
- AI chatbot for real estate
- AI chatbot for travel
- AI chatbot comparison hub
- Chatbot comparison hub
- 2–3 case study pages
- Publish llms.txt
- Expand FAQ blocks on all important pages
- Add comparison tables across money pages
- Plant the "What is Revdot?" answer block in every key location
- Manual AI-search tracking: ChatGPT, Perplexity, Gemini, Copilot
Watch leading indicators weekly; judge by demos monthly.
SEO metrics
- Organic clicks and impressions
- Top 3 / top 10 ranking keywords
- Per-page conversion rate
- Organic traffic to the pricing page
- Demo form submissions
- Brand searches growing: "Revdot", "Revdot AI", "Revdot chatbot"
GEO metrics
- Is Revdot named in AI answers to: "What is a good AI chatbot for a Finnish business?", "What AI chatbot alternatives exist in Finland?", "Which chatbot fits e-commerce?", "How does an AI chatbot help with lead generation?"
- Traffic arriving from ChatGPT, Perplexity, Gemini, Copilot referrers
- Is Revdot placed in the right category in those AI answers
- Is the AI's description of pricing / features / use cases correct
Business metrics
- Demo requests per month
- Offers issued out of demos
- Offer close rate
- Average customer MRR
- Organic-channel CAC
Don't compete on the word "chatbot". Own the outcome.
Not this:
"Add a chatbot to your site."
But this:
That outcome is what separates Revdot from plain chats, plain forms, and button-flow bots.
In order.
Optimize the current homepage and pricing page.
Titles, metas, H1/H2 hierarchy. Add Organization, FAQPage, Product schema. This is where the next 30 days of demos come from, not from new posts.
Build /ai-chatbot-for-business.
The top of the money funnel. Should rank for the head terms and feed every other money page.
Build /chatbot-for-websites.
Implementation intent. Webflow / WordPress / Shopify section is mandatory.
Build /lead-generation-from-websites.
Converts best for the multistep-form ICP.
Build /customer-support-automation.
Converts best for the high-volume support ICP.
Build /best-ai-chatbot-for-business.
Highest GEO leverage in the lineup. Use a comparison table built for AI extraction.
Build /ai-chatbot-for-ecommerce.
The first industry page — start with the vertical that already has cases.
Publish 2 case studies.
Europark and an e-bike or Henkilöstöliiga case. Real names, real numbers where possible, careful with confidentiality.
Add structured data across the site.
Organization, FAQPage, Product, BreadcrumbList. Validate every page.
Add FAQ blocks to every important page.
Plain-text questions and answers. FAQPage JSON-LD on each.
Publish llms.txt — without overweighting it.
Treat it as a hygiene item, not a growth lever.
Start publishing 2–4 articles per month.
Each must link to at least one money page and answer one specific question with one direct paragraph.
The decision in one line.
The strategy starts to compound the moment three things ship together: the optimized money pages, one comparison page, and the first case study. Pick a date and ship those three by then.
Start with action 01 →