Service
AI search readiness for established websites
Check and improve the public technical and content signals that affect how machines read a website. No ranking or citation promise.
The problem
AI-assisted search adds another reader to the web, but there is no single switch that makes a site appear in generated answers. Crawler policy, server-rendered content, clear facts, metadata and corroborating profiles all matter. We inspect those signals and fix the parts the website can control.
Not sure where you stand?
Run the free website audit to check public technical and content signals on the homepage. It does not predict rankings or guarantee citations.
What sits behind each audit category
Paid work goes beyond the public report to investigate the cause and agree any implementation.
Crawler access
We review robots.txt, crawler policy, sitemap discovery and delivery responses for public pages.
Content extractability
We check whether important headings and service facts are present without depending on fragile client-side rendering.
Structured data and metadata
We add or repair JSON-LD, canonical tags, language signals and share metadata that match the visible page.
Clear buyer information
We make service, location and proof information specific enough for people and machines to understand.
Delivery and rendering
We reduce failed responses, redirect chains and oversized pages that interfere with reliable fetching.
Sample buyer questions
“Who provides [your service] in [your market]?”
“What should a buyer compare when choosing [your category]?”
“Which companies offer [your product or service]?”
Questions like these are one way to test whether a homepage states the business clearly. Results vary between products and are not a forecast of rankings or citations.
Work covered
Review crawler access, robots policy, rendering and sitemap discovery.
Check whether important service facts are present in server-rendered content.
Add or repair structured data where visible content supports it.
Improve page structure and metadata without rewriting the site around a trend.
Document what was changed and what the available checks cannot prove.
Typical deliverables
The exact deliverables follow the scope. These are the usual outputs.
How the work is organized
The sequence changes by service. Scope and timing are agreed before each phase begins.
Phase 1 · first
Diagnostic
We inspect the site and separate technical access problems from content and entity gaps.
Phase 2 · based on the findings
Implementation
The agreed changes land in the current CMS, without assuming a rebuild is necessary.
Phase 3 · after release
Verification
We repeat the relevant checks and document the limits of what they show.
Common questions
Does this guarantee that ChatGPT or Google will cite us?
No. We can improve signals on the site, but no consultant can control an external model's sources, ranking systems or update schedule.
Is this just SEO with a new name?
There is substantial overlap. Clear site structure, useful content, reliable delivery and corroborated business details help both. The additional work is focused on machine readability and generated-answer use cases.
Do we need to rebuild the site?
Usually not. We work inside the current platform unless the diagnostic shows a broader platform problem that should be considered separately.
Tell us about the project.
A 30-minute call is usually enough for Elaman to understand the site, the work and whether imash can help.