Extraction formatting: structuring content so AI quotes it correctly.
Beyond page restructuring, extraction formatting addresses the specific technical signals - Open Graph metadata, social preview data, and structured service descriptions - that AI systems use when generating responses that include or reference your business.
The audit identifies whether this service is needed for your site.
Your content exists. AI systems are presenting it wrong.
Extraction formatting addresses a specific failure mode: a business has good content, correct schema, and properly allowed crawlers, but AI systems are still surfacing inaccurate summaries, wrong descriptions, or outdated information. The cause is usually in the auxiliary data layers: Open Graph metadata, Twitter Card tags, and the social preview data that AI systems use to generate quick descriptions.
Open Graph metadata (og:title, og:description, og:image) is what AI systems and social platforms use when generating link previews, summaries, and card-style descriptions. If og:description is missing or generic, AI-generated summaries draw from it and produce equally generic descriptions. If og:image points to a broken URL or a tiny logo, AI visual representations are degraded.
Extraction formatting also covers the consistency layer around those previews: title tags, meta descriptions, canonical hints, and short service summaries should reinforce one another instead of sending mixed signals to parsers, crawlers, and sharing tools.
higher organic CTR when a brand is cited inside an AI Overview - accurate extraction enables this
Metadata layer and structured service descriptions.
og:title, og:description, og:image, og:image:width, og:image:height, og:url, og:type, og:locale, and og:site_name fully populated and verified.
twitter:card, twitter:title, twitter:description, and twitter:image populated with correct dimensions and resolving URLs.
Image URL fetched and checked for 200 response, correct MIME type, and file size above 50KB.
Title, description, canonical, and preview fields aligned so shared links and summarizers do not contradict the page itself.
Key service descriptions rewritten to be extractable and specific, replacing vague summaries with concrete facts.
What this service does not include.
- Photography or image production (a suitable 1200x630px image is required from client if the current og:image is broken or missing)
- Content writing beyond service descriptions
- Social media account management
- Social platform advertising
- Video production or optimization
Preview exactly what AI and social platforms see.
Go to OpenGraph.to and paste your website URL. The tool shows your current og:title, og:description, og:image, and a preview of how your page appears when shared on Facebook, Twitter/X, and LinkedIn. After VERIS implements, all fields should be populated, the image should display correctly, and the description should be specific and accurate.
Step 1: Paste your homepage URL. Step 2: Check og:title, og:description, and og:image. Step 3: Aim for a 90+ score and a clean preview.
Common questions about extraction formatting.
Open Graph was created by Facebook but is now a universal standard. It is used by LinkedIn, Slack, WhatsApp, Twitter/X, Google, and AI systems when generating link previews, summaries, and social cards.
SpeakableSpecification is a niche schema feature Google documents mainly for certain news and assistant contexts. It is not a core local-business requirement, so VERIS treats it as optional rather than a default deliverable.
Yes. A small logo renders poorly in AI and social previews because it is not designed for 1200x630 dimensions. The image should be a high-quality exterior or interior photo of the business.
Indirectly. Google mainly relies on page content, titles, meta descriptions, and structured data rather than Open Graph for search snippets. But consistent preview metadata reduces conflicting descriptions across social shares, messaging apps, and some AI summarizers.
Find out what AI and social platforms are showing about your business.
The audit checks every Open Graph tag, Twitter Card, and og:image for accuracy, dimensions, and accessibility.