How ReleVantage improves AI search visibility

Before anything is changed, we record how each platform describes you today. The same prompts are run more than once per platform, full answer text is stored, and every mention, citation, and factual error is logged. That record becomes the reference point for every later claim of progress.

• •Answer text captured verbatim per platform and per run
• •Mentions, citations, and cited domains logged separately
• •Factual errors recorded with the likely source of each
• •A written scoring rubric so later runs are comparable

We build the prompt set from real buyer language rather than keyword volume, then map who currently occupies each answer. Prompts are grouped so that category, comparison, factual, and constraint driven questions can be reported apart from one another.

• •Category, comparison, factual, constraint, and branded prompt groups
• •Named competitors tracked per prompt group
• •The sources each competitor relies on identified
• •A frozen core set, with new prompts tracked as an additional group

Assistants cannot use what they cannot crawl or verify. This stage repairs the foundation: indexation, structured data, consistent naming, and agreement between your site and the profiles and directories that describe you.

• •Crawlability, indexation, duplication, and rendering issues resolved
• •Structured data aligned to what is visible on the page
• •One canonical description, category set, and service list
• •Hours, addresses, coverage, and contact details made consistent everywhere

We write or restructure the pages that answer the mapped prompts, in a form a model can quote without risking a wrong claim. Answer first structure, self contained passages, explicit qualifiers, and plain statements of what is and is not true.

• •Existing high-intent pages restructured for extraction
• •New pages only where a real buyer question has no home
• •Constraints, limits, and exclusions stated rather than implied
• •Facts sourced and dated so they can be maintained

Models look for agreement between independent sources. We identify the publications, registries, marketplaces, and directories that are actually cited in your category, then pursue accurate coverage on them through legitimate outreach and correction of existing records.

• •Cited source categories identified from your own baseline data
• •Existing records corrected before new placements are pursued
• •Outreach for roundups, comparisons, and expert commentary
• •Source diversity tracked so presence does not rest on one domain

The prompt set is re run on a fixed schedule and scored the same way each time. Reporting shows the baseline, the current run, what changed, what work preceded it, and what is scheduled next. Where a movement cannot be explained, we say so.

• •Fixed schedule, fixed wording, multiple runs per prompt
• •Change reported against baseline rather than as a single score
• •Unexplained movement flagged rather than claimed as a result
• •Next actions prioritised in a working session, not a static PDF