The scan chain worked
Production runs created inspectable answers, parsed mentions, verified citations, and cost records across the frozen OpenAI-only benchmark window.
Frozen benchmark
State of AI Search for SaaS: what the frozen GeoBeam benchmark proves.
This report freezes the production data collected from 2026-05-29 to 2026-06-08. It shows that the scan, parse, citation, and cost chain works. It does not claim customer endorsement, multi-provider coverage, or ranking improvement.
By The GeoBeam Team - Updated June 8, 2026
Headline metrics
OpenAI-only production monitor scans, frozen after production pilot.
All production query subscriptions are inactive now. Cloudflare cron can still run, but there is no active public pilot work to enqueue. The benchmark is frozen. Public pilot brands are observed examples, not customers or endorsements.
1237 Total runs
1233 Parsed runs
97.03% Verified citation rate
$0.012645 Average scan cost
Run funnel frozen
| Stage | Runs |
|---|---|
| Total runs | 1237 |
| Parsed runs | 1233 |
| Stale runs | 4 |
| Failed runs | 0 |
Cost split $15.854593
| Cost type | Estimated USD |
|---|---|
| Scan cost | $15.641893 |
| Non-scan LLM cost events | $0.212700 |
| Total estimated cost | $15.854593 |
Interpretation
What the frozen benchmark means.
Citation quality was high
The frozen benchmark reached a 97.03% verified citation rate, which makes recommendations easier to trace back to reachable evidence.
Self-brand visibility was weak
GeoBeam reached only 7.58% strong mention rate in its own frozen self-GEO baseline, so content authority must improve before more scanning is useful.
Paid intent is still unproven
The data proves the technical and reporting chain. It does not prove customer willingness to pay, multi-provider coverage, or ranking improvement.
From data to action heuristic
| Factor | How GeoBeam uses it |
|---|---|
| Query gap status | Competitor-owned prompts score highest, citation gaps score next, and won prompts score lower unless citation evidence is weak. |
| Competitor pressure | Repeated competitor mentions raise priority because the buyer is already seeing alternatives instead of the tracked brand. |
| Citation opportunity | Verified cited sources make a gap easier to act on because the team can see which pages or source types influence the answer. |
| Business intent | Commercial and comparison prompts rank above broad informational prompts because they are closer to purchase decisions. |
Action Opportunity Score ranks what to review first. It is not a ranking or revenue forecast.
Citation source taxonomy 6 types
| Source type | Default action |
|---|---|
| Owned pages | Keep these pages fresh and add clearer product facts, proof, and comparison language. |
| Docs/help pages | Add answer-ready product facts to docs or help content that explains the workflow. |
| Comparison pages | Publish or strengthen comparison content that directly addresses the prompt. |
| Review/directories | Improve directory presence and make the category positioning consistent. |
| Communities | Distribute practical proof or field notes where buyers already discuss the category. |
| Competitor pages | Create a credible alternative or comparison page against this cited competitor. |
Self-GEO reality check
GeoBeam's own visibility was weak, which changed the next priority.
Self-GEO window: 2026-06-01 to 2026-06-08. Strong mention rate was 7.58%, share of voice was 7.14%, and verified citation rate was 85.71%.
Methodology behind the benchmark
Define the buying-intent query pool
Start with category, comparison, alternative, pricing, migration, and how-to prompts that mirror buyer research.
Run controlled monitor scans
Capture the answer text, model, provider status, citations, latency, and cost for each prompt and scan window.
Parse brand and competitor mentions
Extract matched entity, position, confidence, sentiment, and evidence snippet. Headline metrics use strong mentions only.
Verify cited URLs
Normalize URLs, check reachability, store final URLs, and separate verified citations from unverified evidence.
Report query gaps and actions
Label prompts as won, competitor-owned, citation gap, or no data, then tie recommendations to observed answers and citations.
Safe claims and limitations
| Claim | Status |
|---|---|
| OpenAI-only production monitor scans. | Visible limit for public reporting and sales materials. |
| Frozen production benchmark, May 29-Jun 8 2026. | Visible limit for public reporting and sales materials. |
| Pilot brands are observed examples, not customers or endorsements. | Visible limit for public reporting and sales materials. |
| GeoBeam monitors, explains, and recommends; it does not guarantee AI ranking. | Visible limit for public reporting and sales materials. |
| Perplexity is excluded from public proof until production smoke passes. | Visible limit for public reporting and sales materials. |
Next step
Strengthen the content layer before another measurement window.
The benchmark says the product chain is usable. The weak self-GEO baseline says the website needs stronger product facts, methodology, templates, glossary content, and external citations before the next short scan window.