Google’s generative search features change how results are presented, but the official guidance remains grounded in familiar SEO: make pages accessible, useful, original, and easy to understand.
Businesses can waste time chasing invented optimization tactics while neglecting service clarity, technical access, images, local information, and content that demonstrates real knowledge.
Key takeaways
- Keep pages technically accessible: Verify indexing, internal links, mobile use, speed, canonicals, metadata, and important content in the visible DOM.
- Publish non-commodity value: Add first-hand process knowledge, local context, useful examples, original explanations, and decisions a generic summary cannot supply.
- Strengthen service information: Make scope, audience, limitations, location, contact details, and next steps consistent across the site and business profiles.
- Use images and video purposefully: Provide relevant media, descriptive context, and accessibility instead of decorative assets unrelated to the topic.
- Measure meaningful traffic: Review qualified visits, inquiries, calls, engagement, and landing pages rather than assuming every AI feature appearance is visible.
Why this deserves attention now
Google published expanded guidance for generative AI features in 2026, including myth-busting around special AI files, artificial mentions, and rewriting content for machines.
Invest in the website experience and information quality that help real customers. Use search data to understand questions, but do not manufacture dozens of low-value pages for slight keyword variations.
A practical framework
Keep pages technically accessible
Verify indexing, internal links, mobile use, speed, canonicals, metadata, and important content in the visible DOM.
Publish non-commodity value
Add first-hand process knowledge, local context, useful examples, original explanations, and decisions a generic summary cannot supply.
Strengthen service information
Make scope, audience, limitations, location, contact details, and next steps consistent across the site and business profiles.
Use images and video purposefully
Provide relevant media, descriptive context, and accessibility instead of decorative assets unrelated to the topic.
Measure meaningful traffic
Review qualified visits, inquiries, calls, engagement, and landing pages rather than assuming every AI feature appearance is visible.
What to watch before you move forward
- Creating scaled AI content with little original value
- Adding unsupported schema or technical files marketed as ranking shortcuts
- Seeking fake mentions or manipulating reputation signals
No method guarantees citation or visibility in a generative result. Strong SEO improves eligibility and usefulness, while search systems decide what to display for each query.
What the next 12 to 24 months may bring
Search journeys will move between summaries, follow-up questions, maps, videos, websites, and transactions. Clear entities, useful media, and trusted information will matter across the journey.
A focused 30-day starting plan
Week 1: Audit technical access, service clarity, local information, metadata, media, and important landing pages.
Week 2: Choose one topic where the business can add genuine experience, process detail, or local usefulness.
Weeks 3 and 4: Publish, connect it through internal links, monitor search and inquiry behavior, and update it as evidence changes.
Record the starting condition, the person responsible, and the decision that the evidence will support. That keeps the project connected to a business outcome instead of becoming another disconnected technology task.
Further reading: Google guide to optimizing for generative AI features.
Build visibility on durable search fundamentals
STEP Solutions combines technical SEO, useful content, local visibility, and website improvements around real customer questions.
Frequently asked questions
Do we need an llms.txt file for Google?
Google states that llms.txt neither helps nor harms visibility because Google Search does not use it.
Is special AI schema required?
No. Continue using accurate supported structured data where relevant; there is no special schema required for generative AI search.