Methodology - GEO Score
How GEO Score estimates whether your business is ready for AI search.
GEO Score is RankingLocal.ai's own evaluation model. It is not an official ranking from Google, OpenAI, Anthropic, Microsoft, or Perplexity. The free checker estimates readiness by combining on-site signals, crawlability, evidence strength, and engine-specific weighting.
What GEO Score is
A practical readiness score for local businesses. It helps answer: can AI systems identify your business, extract useful facts, trust the evidence around you, and crawl the pages that matter?
Important scope note
- The free checker models seven engine profiles.
- Ongoing monitoring is being built around three stable provider paths first.
- A high score improves your odds - it does not guarantee recommendation volume.
Score architecture
Layer 1
Entity Readiness
Can the model recognize who you are, what you do, and where you serve?
Layer 2
Answer Coverage
Does your site give direct, quotable answers AI systems can reuse?
Layer 3
Evidence Strength
Are there reviews, pricing clues, service proof, and authority signals behind the claim?
Layer 4
Crawlability
Can bots fetch the page, parse the HTML, and move through the site cleanly?
1. Entity Readiness
This layer checks whether your business is machine-readable as a real local entity.
- LocalBusiness schema, AggregateRating, FAQ, and other JSON-LD signals
- NAP consistency and service-area clarity on the page
- About-page, transparency, and attribution signals
2. Answer Coverage
This layer checks whether your page gives concise, reusable answers instead of vague marketing copy.
- Direct opening statements and service descriptions
- FAQ coverage and actionability
- Page structure that makes extraction easier
3. Evidence Strength
This layer looks for proof that helps answer engines justify recommending you.
- Review signals and specificity in testimonials
- Pricing, process, examples, and named evidence
- Industry-relevant off-page and directory expectations
4. Crawlability
This layer checks whether AI crawlers can access and understand the page at all.
- robots.txt status, sitemap discovery, and JS-rendered risk
- HTML-first content instead of JS-only rendering
- Fetch failures, challenge pages, and unsupported content types
On-page entity and answer signals
Structure, schema, and extractable answers
- Title, meta description, H1, heading structure
- Schema completeness and LocalBusiness markup
- FAQ presence, direct answers, service clarity, and CTAs
- Content depth, freshness, internal links, and image alt text
Access and trust signals
Crawl, transparency, and evidence
- robots.txt access, sitemap discovery, and JS-rendered risk
- Review presence and testimonial specificity
- Pricing, process, NAP, attribution, and transparency cues
- Industry-specific signals that local answer engines tend to reward
ChatGPT
Leans heavily on structured entities, clear answers, and trustworthy citations.
entity + answer fit
Google AI
Rewards strong local entity signals, schema, and consistency with map-style understanding.
entity + local context
Perplexity
Often benefits from fresh, citation-friendly pages with explicit supporting evidence.
freshness + citations
Claude
Tends to respond well to transparent language, trust signals, and coherent page structure.
trust + clarity
Copilot
Modeled as benefiting from entity clarity, local consistency, and structured summaries.
entity + summaries
Gemini
Modeled with stronger sensitivity to multimodal and local-knowledge cues.
local + multimodal
Grok
Modeled with more weight on freshness, real-time context, and visible evidence.
freshness + recency
Monitoring Product
Our first monitoring release focuses on three stable provider paths before broader engine coverage.
3-engine rollout first
That is why one site can score better for Perplexity than for Claude, or better for Google AI than for ChatGPT, even when the underlying website is the same.
Use GEO Score to understand
- How machine-readable your business is right now
- Which readiness gaps are likely suppressing visibility
- Which fixes are on-site quick wins vs longer evidence work
- Why one engine profile may look weaker than another
Do not treat GEO Score as
- An official ranking issued by any AI platform
- A guarantee of mentions, leads, or recommendation share
- A replacement for direct monitoring over time
- A full picture of off-page authority by itself
Is GEO Score an official AI ranking?
No. GEO Score is RankingLocal.ai's own evaluation model for local-business readiness and likely answer-engine fit.
Can a business score well and still not get mentioned?
Yes. Off-page evidence, competitor strength, and query intent still matter. The checker measures readiness, not guaranteed distribution.
Why do monitoring reports matter if the checker already gives a score?
The checker estimates readiness from your site. Monitoring measures what supported engines actually returned over time, then aggregates those results into trend data.
Why not publish the full scoring weights?
We explain the framework and the categories we test, but we keep the exact weighting internal so the system stays useful as a working product rather than a static checklist.
See how your business scores right now.
The methodology explains the model. The checker tells you where your actual site is weak today.