Lost consideration
Competitors own the answer
They appear in category comparisons and recommendations while your brand is missing from commercially important prompts.
Improve how your company is discovered, described and cited when buyers ask ChatGPT, Google AI Overviews, Gemini, Perplexity and Copilot for answers, comparisons and recommendations.
Check whether ChatGPT names your website when a buyer asks for a recommendation.
Takes about 20 seconds. We use the website and market only to prepare the right scope.
Engine by engine
Results vary by platform, market, language and prompt wording — so each engine is tracked and reported separately rather than blended into one score.
Prompt
“Which agency should I hire for AI search visibility in the UK?”
Several agencies work in this space. Buyers usually compare measurement method, platform coverage and whether the team can implement technical and content changes rather than only report on them.
Cited sources
Brand mentioned
Recorded
Cited pages
2 of 7
Description
Partly accurate
Illustrative example of how an answer and its sources are recorded. Actual outputs differ by engine, market and prompt.
The commercial risk
When your brand is absent, described inaccurately or supported by weaker evidence than a competitor, you lose consideration before the buyer reaches a search result, sales page or enquiry form.
What the buyer sees instead
Who are the best providers for a company like mine?
Based on available sources, buyers in this category most often shortlist three named competitors. Their pages set out method, pricing logic and proof, and they are cited by independent sources.
5 engines
Answering buyer questions in parallel
0 clicks
Needed before a shortlist is formed
1 source set
Decides who gets described and cited
Lost consideration
They appear in category comparisons and recommendations while your brand is missing from commercially important prompts.
Reputation risk
Old profiles, inconsistent claims and unclear service pages contribute to incomplete or inaccurate brand descriptions.
Wasted content
Important evidence can be hard to crawl, poorly structured, too generic or unsupported by independent sources.
No baseline
One-off screenshots do not show prompt coverage, competitor movement, source patterns or commercial impact over time.
Fragmented effort
Search, content, entity signals and third-party authority need one prioritised programme instead of disconnected activity.
What we deliver
Open a workstream to see what changes, who owns it and what you receive.
We test an agreed panel of buyer prompts by platform, market and intent, then document mentions, citations, description accuracy and competitor share so every later change has a reference point.
We check indexing, snippet eligibility, robots directives, CDN or firewall blocks, internal discovery, JavaScript rendering and whether important text is actually accessible to crawlers.
We align organisation, services, people, locations, proof and public profiles so machines and buyers receive one consistent description of who you are and what you sell.
We improve service, comparison, use-case and expert pages with direct answers, original evidence, clear authorship and next steps matched to where the buyer is in the decision.
We identify the third-party sources shaping category answers and build a realistic plan across digital PR, expert contributions, listings and independent corroboration.
We rerun controlled prompt panels and connect visibility movement to branded demand, referral traffic, qualified enquiries and pipeline wherever the data allows.
First 30 days
The exact schedule depends on access and scope. A typical opening cycle sets the benchmark, clears eligibility blockers and converts findings into sequenced implementation.
Agree priority services, markets, decision-stage prompts, platforms and the competitors that matter commercially.
Output · Prompt panel scopeRun the panel, capture mentions and citations, review description accuracy and identify recurring source patterns.
Output · Baseline snapshotReview crawling, indexing, architecture, entities, page quality, original evidence, profiles and corroboration.
Output · Gap analysisRank fixes and assets by buyer value, visibility gap, effort, dependency and ability to support a real sales journey.
Output · Sequenced roadmapComplete agreed technical, content, entity, source and conversion work with clear ownership and review gates.
Output · Shipped changesTrack platform-level change, explain what moved and point the next cycle at the strongest opportunities.
Output · Comparison reportTransparent reporting
Four commercial questions: are you present, are you described correctly, are trusted pages supporting the answer, and does the visibility contribute to demand? Bars below are illustrative report formats, not promised results.
Presence is counted across the agreed prompt panel per engine and market, not from a single lucky answer.
Each answer is checked against your real services, markets, locations and claims to flag drift and stale facts.
We log which owned and third-party URLs are cited, so authority work targets the pages that actually influence answers.
Visibility movement is tied to referrals, branded demand, enquiries and pipeline wherever the data allows.
Method
No provider can guarantee a citation or recommendation inside an external AI system. We improve controllable factors and report movement openly.
Engagement options
Pricing follows platforms, markets, prompt scope, implementation volume and authority requirements. Proposals separate Digital Otters fees from third-party costs.
Best when you need a credible baseline and roadmap before committing to implementation.
Best for improving a priority service, market or content cluster through one focused implementation cycle.
Best for brands competing across several services, markets or AI platforms at once.
Client fit
Strong fit when
Poor fit when
Frequently asked
Straight answers on scope, measurement, timelines and what no agency can honestly guarantee.
They improve the discoverability, clarity and supporting evidence of a brand across AI-assisted search. The work combines technical SEO, entity consistency, answer-ready content, authority development and repeatable measurement across agreed prompts, platforms and markets.
A programme can cover ChatGPT search, Google AI Overviews and AI Mode, Gemini, Perplexity and Microsoft Copilot, subject to platform availability and the agreed market. Each engine is reported separately because results vary by platform, location, language and prompt wording.
It extends SEO rather than replacing it. Crawling, indexing, content quality, internal linking and authority remain foundational. AI search visibility adds entity clarity, answer extraction, source analysis, prompt tracking and cross-platform measurement.
No credible provider can guarantee a citation, ranking or recommendation inside an external AI system. Digital Otters improves the factors a brand can control, records a baseline, implements agreed actions and reports movement transparently.
Measurement can include prompt coverage, citation share, brand mention rate, description accuracy, cited-source patterns, competitor visibility, AI referral traffic and downstream conversions. The exact scorecard is agreed before implementation.
An initial audit and roadmap can be completed as a focused engagement. Meaningful implementation and measurement normally need an ongoing cycle because crawling, indexing, third-party coverage and AI outputs change over time. Your proposal states scope, dependencies and review cadence.
Depending on the audit, work may include technical crawl fixes, page architecture, organisation and entity information, service pages, expert content, comparison pages, original research, structured data, internal linking, media, source citations and conversion paths.
No. Publishing large volumes of repetitive pages is not a sound strategy. We prioritise useful, differentiated assets that answer real buyer questions and add evidence or expertise competing pages do not provide.
Yes. Multi-market programmes use separate prompt panels, competitors, language review and local evidence per priority market. Results are not blended into a global average because visibility differs substantially by locale.
The proposal defines target platforms and markets, prompt methodology, baseline deliverables, technical and content actions, reporting metrics, client responsibilities, third-party costs, timeline, support boundaries and the recommended engagement model.
Share your website, priority market and most valuable service. We will recommend the right audit, sprint or ongoing AI search visibility programme.