AIO practical guide: how to create an AI-understandable website for SMEs, startups and scaleups
The arrival of browsers with artificial intelligence—like Atlas—changes the game: your website no longer only competes on Google,
It is also “read, summarized, and cited” by AI systems. In our article “From SEO to AIO”
We explain the strategic change. Here's how to put it into practice: how to adapt structure, copy, data, and signals of trust so that
Make your website understandable by AI without losing clarity for people.
1. AIO Practical Guide: From SEO to AI-Powered Content
Traditional SEO focused on keywords, links, and technical signals. With AIO (AI Optimization), the key is that your content is understandable, verifiable and usable by AI systems as well as by people. That doesn't eliminate SEO: it expands it into interpretability.
| Element | Classic SEO | AIO (AI Optimization) |
|---|---|---|
| Goal | Exact keyword | Natural question/answer |
| Text | Long and dense | Modular, factual and structured |
| Links | Generics | Clear semantic context |
| Data | No source | With quote and marking (schema) |
| Result | Visibility in SERP | SERP visibility + AI eligibility |
- Service page: define it in the first paragraph what do you solve?, for whom and How is success measured?. Add a mini-FAQ with 4–6 real questions and a "what's included / what's not included" table.
- Comparative: Use a table with objective criteria (price, support, implementation, integrations). End with a "best for" rating for each profile.
- How-to guide: Numbered steps, estimated times, and common risks. Connects to a downloadable checklist.
This pattern turns "pretty" pages into usable pages by people and by AI.
SEO makes you visible; AIO makes you understandable. Work on both.
2. How AI-powered browsers “read” your website
An AI-powered browser does not "index" like a search engine: interprets. To generate reliable summaries and comparisons, you need a clear hierarchy (H1/H2/H3), short paragraphs, native lists and tables, and data with a visible source. If all of that is in order, the system can transform your page into a useful deliverable in seconds.
Self-explanatory headings, single-topic H2/H3 headings, and paragraphs ≤90 words. Less "wall of text," more clear blocks.
Tables for comparisons, bullet points for lists of steps, and links to primary sources. This makes your content "citable".
The attendee can "remember" the session's objective. If your website clearly states who it's for and what problem it solves, they'll understand it better.
A well-labeled price list with notes/sources becomes a direct comparison tool. If you hide the information, the AI won't use it effectively.
Patterns that improve summary quality
- Self-explanatory titles: Avoid “Introduction”; use “What the competitive marketing plan includes.”.
- Atomic paragraphs (≤90 words): One idea per paragraph reduces synthesis errors.
- Native lists: Bullets and numbered lists turn out well as steps or checklists.
- Tables with clear headings: “Criteria / Option A / Option B / Notes”. Add a “Best For” row.
- FAQ in natural language: It literally copies the sales and support questions (how, how much, risks, deadlines).
- Visible sources: It links to official documentation and sector studies; AI prioritizes what is verifiable.
If the page contains “How long does it take to implement?” followed by a specific answer (range of weeks and conditions), the wizard can return that answer in a rich result or within a guided flow.
Search engines index; AI interprets. Design to be interpreted.
3. Principles of an AI-browser friendly website
Use clean structures: single H1, thematic H2, H3 for breakdowns. Avoid cryptic titles.
It includes sourced data, case studies with metrics, and relevant external links. AI prioritizes verifiable information.
Clearly explain what you offer, who it's for, and what your success criteria are. This will guide the attendee's summary.
Author visibility with bio, publication/review dates, and editorial policy. Without credentials, you lose eligibility.
Speed, Core Web Vitals, clean indexing, and valid schema (Article/FAQ/Service). The technique supports the rest.
Quick interpretability checklist
- Unique intent per URL: Avoid mixing comparison + case + guide on the same page.
- H1 single and H2 themed: that each H2 answers a clear question from the user.
- Data with context: figure + period + source + summarized methodology.
- Cases with metrics: “before → after” and conditions of the result.
- Semantic internal links: Don't use "see more"; use "how we calculate ROI".
- AI-friendly elements: attribute tables, step lists, glossaries, and FAQs.
- Signs of trust: author, bio, review date and editorial policy.
Each block should be copyable and make sense on its own. If it stands alone, the AI will understand it.
Don't compete for attention; compete for interpretability.
4. Design content for humans and for AI
Writing for AI is not writing “like AI”. explain clearly What you want the system to understand and be able to reuse. This involves modularizing the content, reducing ambiguities, and providing evidence. Here are some practical guidelines.
- One topic per paragraph (≤90 words).
- Subblocks with H3 for key concepts.
- TL;DR at the beginning when it's useful.
- Lists of steps and operational checklists.
- Tables for comparisons and prices.
- FAQs with real customer questions.
- Citations to primary sources and cases with metrics.
- Factual tone, without inflating claims.
- Actionable, not generic, conclusions.
Before / After (rewriting example)
Before (dense text): “We are leaders in innovative solutions for companies that want to grow, with a flexible approach…”
After (AI-friendly):
- What we do: we implement competitive marketing plan in 30–60 days.
- For whom: B2B SMEs and startups with small sales teams.
- How we measure: +% qualified opportunities, reduced time to proposal.
- Evidence: XYZ case (3 months): +27% MQL, −18% sales cycle.
Micro templates for clearer (and more quotable) writing
For whom: [profile/size/sector]. What it solves: [pain]. How we did it: [3-step method]. What to expect: [metric/range].
- How long does it take to implant? [X] in an SME? → range in weeks and conditions.
- What do I need internally to get started? → roles, hours/week, tools.
- How do I calculate ROI? → simple formula + numerical example.
- What mistakes to avoid? → List of 5 with mitigation.
Include one paragraph per scene/slide (who, what, how, duration) and a summary of 2–3 key takeaways. This makes the resource readable by AI.
Writing for AI is writing to decide: clarity, evidence, and reusable format.
5. Technical checklist: structured data and AIO signals
Technology doesn't replace content, but it makes it machine-readable. This minimal checklist covers the essentials for AI-powered browsers and generative assistants.
| Element | Action | Tool |
|---|---|---|
| Schema Article | JSON-LD with author, dates, image, publisher | Rich Results Test / RankMath |
| FAQ Page | 5–7 real questions with clear answers | Search Console → Improvements |
| Service/Organization | Company details and services sheet with `sameAs` | Schema.org validator |
| Core Web Vitals | Optimize LCP/CLS/INP of pillar pages | PageSpeed Insights |
| Indexing | Clean, canonical, noindex sitemaps where applicable | Search Console → Coverage |
| Authorship (EEAT) | Bio, credentials, editorial policy | Internal template + JSON-LD Person |
Verify that you are not duplicating types (e.g., RankMath + manual script). Prioritize a single source per type to avoid conflicts.
Quick implementation via plugin (WordPress)
- Schema: if you use RankMath, Enable Article and FAQ per template; add Organization/Service to business pages. Avoid duplication with manual scripts.
- Validation: Every time you publish or edit, run the Rich Results Test and check "Improvements" in Search Console.
- Performance: active lazy-load It handles images, serves WebP, and limits external sources. It controls LCP on mobile devices.
- Indexing: Review sitemap and canonicals; noindex for drafts and thank-you pages.
- Article without author or date of review.
- FAQ with questions that are not expandable or are not visible on the page.
- Duplicate `FAQPage` (plugin + HTML block) in the same URL.
What AI cannot read, does not exist.
6. 30-day mini-plan to adapt your website (without losing focus)
Instead of repeating tasks for weeks, this plan summarizes aim of each sprint, deliverables and acceptance criteria. This way you avoid redoing and document real progress in 4 short iterations.
Aim: to define what to rewrite and why.
- Intent map (3–5 pillar pages) with query-topics and audience.
- Structure audit (H1/H2/H3, paragraphs ≤ 90 words).
- Brief content by URL (message, tests, resources).
Acceptance: briefs ready for writing + inventory of tables/FAQs needed by URL.
Aim: convert every URL into AI-usable content.
- Modular copy (short blocks), tables and Real FAQs.
- Primary sources and cases with a “before → after” metric.
- Glossary/definitions where there is technical jargon.
Acceptance: each URL with 1 TL;DR, ≥1 useful table and ≥4 verifiable FAQs.
Aim: Make the content machine-readable and fast on mobile.
- Schema (Article/FAQ/Service/Organization) validated.
- Critical CWV enhancements (LCP, INP, CLS) and lazy-load media.
- Clean indexing (sitemap, canonicals, redirects).
Acceptance: 0 critical schema errors + mobile LCP < 2.5s on pillar pages.
Aim: to close the loop and measure the real impact.
- Publication, reindexing and baseline captures in GSC.
- Board of impressions, CTR and coverage of intent.
- Registration of external mentions and outreach opportunities.
Acceptance: panel with KPIs by URL and 90-day review checklist.
30-day OKR (control matrix)
| Aim | Key Result (KR) | Indicator | Useful threshold | Evidence |
|---|---|---|---|---|
| Being understandable by AI on pillar pages | Modular content with verifiable data | % URLs with TL;DR + table + ≥4 FAQs | ≥ 80% of the pillar URLs | HTML screenshots + editorial checklist |
| Technical readability without errors | Valid Schema and CWV in green | Schema errors / Mobile LCP | 0 critical errors / < 2.5 s | Rich Results Test + PageSpeed |
| Improved initial visibility | Increased impressions on rewritten pages | Impressions per URL (GSC) | +20% in 30 days | Comparative GSC report (date-date) |
| Attracting qualified clicks | Improved CTR in long-tail queries | Average CTR per query/URL | ≥ 4% sustained | "Performance" view in GSC |
Minimum blog post size per URL (avoid losing attribution)
- Date and responsible for the change.
- What was played (structure, table, FAQs, schema, CWV).
- Capture GSC before/after (impressions/CTR).
- Grades from cited sources and new links.
Tip: Without a log, improvements are diluted and discussions become repetitive. Document it in a shared spreadsheet.
It's not about redoing the site: it's make quotable Your 3–5 URLs with the greatest business impact.
7. Closure and next steps
The web is no longer just a showcase; it's becoming an interface with AI. If your content is clear, verifiable, and well-structured, AI-powered browsers will transform it into helpful answers that guide the customer toward a decision. Start with your pillar pages and work in 30-day iterations.
minimum quarterly roadmap
- Month 1: 3–5 page rewrite of pillar + schema + FAQs + CWV improvements.
- Month 2: Case studies with metrics, 2 external appearances (sector blog/partner), glossary of terms.
- Month 3: neutral market comparison, downloadable how-to guide and comprehensive editorial review.
At the end of the quarter, reassess intent coverage and prioritize new pieces based on business potential, not on "easy to write".
If you want to speed up the process (templates, AIO checklist, technical QA and measurement), we can help you at Rumbo & Resultados.
This article continues the series begun with “From SEO to AIO”.Next: “How to measure the AI readability of your website (KPIs and tools)”.
Quick answers to implement without losing focus AIO/Atlas.
How many words should an AI-friendly pillar page have?
Is it mandatory to use tables and FAQs?
Can I automate summaries without reviewing them?
Which schema should I prioritize if I'm short on time?
How do I measure the impact of change?
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