Become quotable
Make important answers easier for AI agents to extract by improving structure, metadata, and machine-readable context.
AI visibility audit
MeshWeave crawls your site to show what an AI agent can find, what it may miss, and where your next improvement belongs.
Run a check before launch, after a redesign, or whenever the pages buyers rely on change.
Every report answers three questions.
Start with a domain or page. We will take you to the report when it is ready.
MeshWeave examines rendered pages, structured data, metadata, content structure, crawler access, entity consistency, and contact signals. The report connects those observations to the three ways AI systems can fail: extracting an answer, recognizing authority, or identifying a useful next step.
We render your pages and inspect the content, metadata, structured data, links, crawler directives, and contact information that AI agents can access.
We group findings under answer extraction, generative discovery, and agent usability, then rank them by signal severity and likely visibility impact. The report does not estimate revenue attribution.
You get concrete recommendations tied to the observed signal, such as missing schema, weak structure, blocked crawlers, inconsistent entity descriptions, or unclear contact paths.
Use the report to improve the signals behind citations, generative discovery, and agent understanding. Scores are diagnostic measures, not guarantees of rankings, citations, traffic, or conversion.
Make important answers easier for AI agents to extract by improving structure, metadata, and machine-readable context.
Strengthen the entity, trust, crawl-access, and content signals AI agents can use when they evaluate your brand and category.
Compare your current report with later runs to see which findings were resolved and where your machine- readable presence still needs work.
Clarify your offer, cross-page relationships, metadata, and contact paths so AI agents can identify a credible next step. AAX does not test transactions or operate an interactive browser agent.
braginpublic.com
Diagnosis Good shape overall — just polish trust signals
lightpanda.io
Diagnosis AI agents see the site but can't fully trust it
AEO measures answer extraction, GEO measures generative discovery signals, and AAX measures whether a structured AI evaluation can understand your offer and identify a credible next step. Together, they show what the crawl can verify and what still needs human observation.
| Risk Lens | What Failure Looks Like | Business Consequence |
|---|---|---|
| AEO Answer Engine Optimization |
AI cannot extract clear, trustworthy answers from your content. | Your pages may be harder for answer engines to extract and reuse. |
| GEO Generative Engine Optimization |
AI agents see you as less authoritative and credible than competitors. | AI agents may have less evidence to use when generating recommendations. |
| AAX AI Agent Experience |
AI agents cannot confidently identify the offer, understand the content, or find a credible next step. | AI agents may struggle to identify your offer, key information, or a useful next step. |
Together, these lenses show where your site is difficult for AI agents to crawl, understand, cite, or use.
Ranking on a results page and being quoted by an answer engine are different jobs. Most tooling stops at the first one.
| Capability | Traditional SEO tools | MeshWeave |
|---|---|---|
| What it optimizes for | Ranking position on search results pages, for human searchers | Being quoted, recommended, and acted on by AI agents |
| Citation readiness | Keyword coverage and backlink authority | Whether AI can extract a clean, quotable answer from each page (AEO) |
| Recommendation share | Not measured | Trust, entity, and crawl-access signals that influence generative discovery (GEO) |
| Agent usability | Not measured | Whether AI agents can identify the offer, understand the content, and find a credible next step (AAX) |
| AI crawler access | Googlebot-centric (robots.txt, sitemaps) | GPTBot, ClaudeBot, PerplexityBot and friends — plus llms.txt readiness |
| Output | Keyword and backlink reports | Three lens scores with factor breakdowns and a prioritized fix list |
The two are complements, not replacements: traditional SEO still matters for human search. MeshWeave covers the AI-mediated half of demand that keyword tooling cannot see.
MeshWeave audits the website signals AI agents can observe. It shows where answer engines and LLMs may struggle to extract, understand, cite, or recommend your content, then gives you a prioritized list of fixes.
No. Traditional SEO focuses on how humans find you through search engines. MeshWeave focuses on whether AI agents can crawl, understand, cite, and recommend your website. It complements traditional SEO by examining machine-readable signals that keyword and ranking reports do not cover.
SEO and content teams, product and web teams, marketing and growth teams, founders, operators, agencies, and consultants responsible for making sure a brand remains discoverable and usable as buyers shift toward AI-assisted research and decision-making.
Yes. Signed-in users get private reports with a dedicated dashboard and score history, so results are easy to review with clients or teammates.
A site analysis is free and can be started without signing in. Sign in to keep results private, use higher crawl limits, and track score history. Expert-guided audits and remediation roadmaps are available as separate engagements.