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Accord

Accord

Many assistants. One accord for every location.

Measure how ChatGPT, Claude, and Perplexity recommend you — fix what they get wrong — and prove dispersion drops week over week.

Live probe

Best matcha · West Village, NYC

Synced 2m ago
Venue
GPT
PPX
Claude
Gemini
Kōhī House
1
2
1
2
Matcha & Co.
2
1
3
1
Your location
—
4
—
3
Green Ritual
3
3
2
4

Dispersion

0.74

Mention rate

38%

Fact errors

2

Probed enginesChatGPTClaudePerplexityGemini

National GEO tools miss the door.

A matcha bar in the West Village loses foot traffic when Claude omits you, Perplexity ranks you fourth, and ChatGPT lists the wrong hours. Operators need per-place visibility — not one logo on a national chart.

Matcha being prepared in a cafe

New York City · prompt pack

“Best matcha in the West Village”

Measure dispersion. Fix what models read. Prove lift.

01

Probe

Fixed geo-local prompts across major assistants — same wording, logged models, scheduled runs.

02

Parse & score

Ranked lists, citations, and factual claims → mention rate, dispersion, competitor share.

03

Fix at source

Tasks tied to directories, reviews, and listicles models actually cite — not generic SEO.

04

Verify

Weekly re-probes and location reports operators can act on — and investors can trust.

Metrics that map to foot traffic.

↓ 40%

Dispersion index

Cross-engine disagreement on rank and presence.

38%

Mention rate

Prompts where your location appears at all.

0

Fact errors

Wrong hours, address, or category — tracked to zero.

3.2

Mean rank

Average position when you land in the recommendation set.

Technology

Multi-engine measurement. Claude-powered analysis.

We probe several assistants to capture platform drift. The Anthropic Claude API structures extraction, scoring, recommendations, and weekly location reports — with evals tuned for model updates.

We're not selling another mention chart. We bring every engine into accord — lower dispersion, correct facts, for every pin on the map.

Accord founding team

30 days. Measured beta.

New openings and multi-location F&B in New York City — baseline probe, fix queue, weekly re-probes, and a final dispersion report for operators and investors.

  1. 0140+ geo-local prompts per location
  2. 023–5 competitor benchmark set
  3. 03Source-level fix priorities
  4. 04Claude-generated weekly location report

Request pilot access

Share your brand and location count — we'll reply with cohort availability and onboarding steps.

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