Check Performance of Rich Results is one of the small levers that pays back at scale. Here's the version we run in client work, tuned for AI-search visibility without breaking existing rankings.
- Why Check Performance of Rich Results matters more in 2026.
- The three moves that carry most of the outcome.
- How to verify the change moved the metric.
- What to stop doing.
What Changed Recently
The definition of a good result on Check Performance of Rich Results moved when AI Overviews and generative answers started weighting entity clarity and clean structure.
The Actual Work
Split it by impact tier so approvals move fast.
- Tier 1 — safe automated fixes (canonical, alt text, breadcrumbs).
- Tier 2 — reviewed template changes (schema, hreflang).
- Tier 3 — human-only editorial calls.
How We Measure
Impressions and clicks together on the target silo, no regressions on non-target templates. That's the boring, defensible win.
Inside WBP Omni SEO Pro: Image SEO Automations
Bulk alt-text generation from context, EXIF cleanup, WebP/AVIF conversion, responsive srcset, and image sitemap emission.
Why this matters for "Check Performance of Rich Results — How We Ship It": Image SEO is the highest-leverage traffic surface most teams still ignore, and manual alt-text does not scale past a few hundred images.
- 1Step 1
Bulk Editor → Image SEO → Scan library
- 2Step 2
Generate context-aware alt text with review queue
- 3Step 3
Convert to WebP/AVIF with fallback and cache-bust
- 4Step 4
Emit an image sitemap and ping IndexNow
"Every un-alt-tagged image is a small vote against your accessibility and your image search traffic."
— WBP Omni SEO Pro
References & further reading
- Google Search Central — Structured data guidelines
- web.dev — Core Web Vitals field data
- Search Engine Journal — AI Overviews coverage
- Wikipedia — Semantic search, entity linking, schema.org
- YouTube: WP Bulk Publishing channel — walkthroughs of the agentic loop
- Reddit — r/SEO, r/bigseo threads on GEO measurement
Where this is heading (2026 → 2027)
- Citation-attribution becomes a first-class metric alongside clicks.
- Schema graphs consolidate — one @graph per URL, enforced by search engines.
- Reversible, human-in-the-loop agents become the compliance default.
- Programmatic pages without unique data get filtered pre-index.
Ship reversible fixes weekly. Measure citations, not just clicks. Keep one authoritative schema emitter. Everything else is a distraction.
Paired module: AI Rank Tracker
Tracks citations and mentions across ChatGPT, Gemini, Claude and Perplexity for your priority queries, with share-of-voice against named competitors. Classic rank trackers cannot see LLM answers; without an AI tracker, GEO work is invisible until traffic moves.
- Analytics → AI Rank Tracker → Add priority queries
- Add competitor domains to compare share-of-voice
- Set a weekly digest with movement thresholds
- Feed underperforming queries back into the Content Tools queue
Do I need a plugin to handle Check Performance of Rich Results?
Not strictly, but auditing and rollback are what make the difference at scale. That's what WBP Omni SEO Pro handles.
Will this hurt existing rankings?
Not if the change is small and reversible. Every step above ships behind an Approve gate.
Will bulk alt-text sound generic?
Alt text is generated from surrounding heading and paragraph context plus the file name, not from the image alone, so it reads as human-written and stays unique per placement.
How are citations verified?
Every citation is stored with the full prompt, engine, timestamp and the sentence quoting your URL — you can replay any historical citation.
Ship this workflow inside WordPress
WBP Omni SEO Pro turns every playbook on this blog into an approvable, reversible diff.
Get WBP Omni SEO ProAffiliate — this link goes to the official WBP Omni SEO Pro product page.
