iLuvSEO

Latest articles

AI SEO is changing. These are the parts that matter.

Current guidance on AI search retrieval, measurement, crawler control, agent-ready websites, commerce, and answer reliability, with sources and limits.

Coverage
Current AI SEO guidance
Approach
Sources, methods, and limits
Last checked

Current research and practical guidance

Articles built around practical questions

Research from August 2026Standards and Field NotesChecked

Google’s AI SEO Guide Says to Stop Chasing GEO Hacks

Google’s current guidance says generative AI search still runs on SEO fundamentals, while several popular GEO shortcuts do nothing for Google visibility.

  • Google describes AI Overviews and AI Mode as Search systems grounded in the core index, retrieval, and ranking systems.
  • Google says llms.txt, special AI markup, forced chunking, and exact long-tail rewrites are not required for Google AI visibility.
  • The Search Console generative-AI report is the first-party measurement surface, but access is still rolling out and impressions are not conversions.
Read article
Research from July 2026Retrieval and SourcesChecked

AI SEO Is Splitting Into Retrieval, Citation, and Agent Execution

New research shows why AI SEO needs separate tests for retrieval, citation, answer use, and an agent's ability to act on a website.

  • Search agents can reformulate later queries using terms found in earlier evidence, which changes how useful content should be written.
  • Retrieval, citation, answer use, and successful action are different events and need different measurements.
  • Structured data can help an agent understand and use a page without automatically making that page more likely to be cited.
Read article
Research from July 2026Measurement and TestingChecked

Google Search Console Can Now Show Which Social Posts Get Found on Google

See the Google queries, clicks, and impressions behind content from verified Instagram, TikTok, X, and YouTube accounts.

  • See which posts and videos receive impressions and clicks from Google, and which searches led people to them.
  • A platform property reports existing visibility. It does not submit, index, or rank social content.
  • Use Search Console beside native platform analytics and conversion data, not as a replacement for either one.
Read article
Research from July 2026Retrieval and SourcesChecked

Why AI Answer Engines Can Find the Right Sources and Still Get the Answer Wrong

A source can be relevant and cited while the answer is still wrong. The failure often happens during entity, time, conflict, or synthesis decisions.

  • Treat retrieval, citation support, factual accuracy, and temporal accuracy as separate things.
  • Keep the subject, value, scope, date, evidence, and exceptions together around every important claim.
  • Test ambiguous, stale, contradictory, and insufficient evidence instead of testing only the easy questions.
Read article
Research from July 2026Commerce and Product DataChecked

UCP vs ACP and What Agentic Commerce Changes for SEO

UCP and ACP are not ranking switches. Here is what they change, what they do not, and why product data, live inventory, and checkout have to agree.

  • Treat UCP and ACP as transaction and capability layers, not ranking factors.
  • Make the page, schema, feed, inventory, price, and checkout agree before adding another protocol.
  • Keep the merchant in control of the order, payment, fulfillment, returns, and customer record.
Read article
Research from June 2026Agent-Ready WebsitesChecked

Can AI Agents Actually Use Your Website?

WebMCP gives browser agents structured tools, but reliable tasks still depend on semantic HTML, narrow actions, strict validation, consent, and clear receipts.

  • Start with one valuable task, not a tool for every button on the page.
  • WebMCP is a progressive enhancement and still requires a browser context.
  • Prompt injection remains a real risk, so permissions, validation, and confirmation belong in the design.
Read article
Research from May 2026Agent-Ready WebsitesChecked

Which AI Crawlers Should You Allow?

Search, training, and user-requested retrieval are different jobs. This guide maps the major AI crawlers to the controls and checks that actually apply.

  • Decide by crawler purpose instead of using one blanket AI rule.
  • A robots.txt directive is only policy. Confirm the real response and edge behavior.
  • Blocking training does not automatically remove a page from AI search or user-requested retrieval.
Read article
Research from April 2026Measurement and TestingChecked

How to Measure AI Search Visibility Without Making Up a Score

There is no honest universal AI rank. Measure citations, repeated prompts, referrals, conversions, and revenue separately, with every limit visible.

  • Choose the business decision before choosing the metric.
  • Report recurrence and ranges across repeated samples, not one lucky screenshot.
  • Never turn incompatible platform reports into a cross-platform score without exposing the formula and limits.
Read article
Research from March 2026Retrieval and SourcesChecked

How AI Search Finds and Chooses Sources

AI search can split one question into many searches and build an answer from changing sources. Here is how to make the right facts easy to retrieve and cite.

  • Optimize for the question family, not one exact prompt.
  • Put the answer, supporting detail, identity, and update context on the canonical page.
  • Track which URLs recur across repeated tests instead of pretending citations are fixed rankings.
Read article
Research from February 2026Measurement and TestingChecked

How I Verify What Actually Works in AI Search

A citation, crawler hit, visit, and sale prove different things. This is how I keep AI search sources, tests, interpretation, and results honest.

  • Start with the decision, then choose the measure that can actually answer it.
  • Keep eligibility, exposure, citation, visit, conversion, and revenue separate.
  • Save the test conditions, repeat the test, and publish the limits beside the finding.
Read article

The parts of AI SEO I keep watching

What I am following

How answers get built

Retrieval and Sources

Follow the path from the original question to follow-up searches, candidate pages, grounding, citation, and the final answer.

  • Query fan-out
  • Grounding
  • Source selection
  • Freshness

What the numbers mean

Measurement and Testing

Keep visibility, citations, visits, conversions, and revenue separate so the report can support a real decision.

  • Visibility
  • Repeated samples
  • Attribution
  • Business results

Can an agent use it

Agent-Ready Websites

Check whether crawlers and browser agents can reach the site, understand the interface, and complete a task safely.

  • Crawler access
  • WebMCP
  • Semantic controls
  • Safe actions

From discovery to purchase

Commerce and Product Data

Keep product facts aligned across pages, structured data, feeds, live inventory, checkout, and new commerce protocols.

  • Product truth
  • Merchant feeds
  • UCP and ACP
  • Inventory

Show the work

Benchmarks and Data

Publish the sample, conditions, method, uncertainty, and limits so a reader can judge the finding instead of trusting a score.

  • Citation stability
  • Source recurrence
  • Brand accuracy
  • Open methods

What changed

Standards and Field Notes

Track platform rules, reports, crawlers, standards, and claims that need a closer look when the system changes.

  • Platform changes
  • Specifications
  • Myth checks
  • Change history