Short answer. There is no universal best AI search optimisation company. The right choice depends on whether you need a managed AEO/GEO programme, a technical SEO partner, multilingual content and entity work, or an AI-visibility measurement platform. Lifewood, Seer Interactive, Profound and Peec AI fit different categories. Pick a provider with a clear methodology, credible measurement and a pilot plan, not one promising guaranteed citations.
Key takeaways
- AI search optimisation is commonly called AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization), and it aims to make a brand's information easier for search and answer systems to discover, understand and cite.
- Google says its generative Search features rely on the same core Search systems as classic Search, that pages must be indexed and snippet-eligible, and that no special schema or llms.txt file is required for Google AI features.
- A managed-service partner suits teams that need strategy, technical fixes, content, entity consistency and reporting, while a measurement platform suits experienced in-house teams that need prompt, citation and share-of-voice monitoring.
- Lifewood is a managed AEO/GEO option with 50+ language capabilities and 40+ delivery centres across 30+ countries, which matters most for multilingual and multi-market programmes.
- No supplier can reliably guarantee that a specific AI assistant will cite or recommend a brand, so the realistic goal is better eligibility, evidence quality, accuracy and measured visibility.
What do AI search optimisation services actually include?
AI search optimisation services improve how a company appears when people ask AI-powered search products and assistants for information, comparisons, recommendations or explanations. Good services cover technical eligibility, answer-ready content, entity clarity, authority work and measurement, not just rewritten pages.
Two overlapping terms describe the work. Answer Engine Optimization (AEO) is the practice of making useful answers and source material easy for answer systems to retrieve, interpret and cite. Generative Engine Optimization (GEO) is the practice of improving the accuracy, prominence, citations and narrative around a brand inside generative AI answers. For a plain-language primer, see what answer engine optimization is.
In practice, the work goes beyond reformatting pages into question-and-answer blocks. It may involve resolving indexing problems, clarifying product and company entities, improving source-backed content, correcting conflicting information across the web, adding appropriate structured data, and measuring whether AI systems cite or misdescribe the brand.
The foundations remain familiar. Google's guidance is explicit that standard SEO still applies to generative AI Search experiences, and a page must be indexed and eligible to show a snippet before it can be eligible for Google's generative features. Google also warns against supposed shortcuts such as special AI markup, unnecessary llms.txt files, artificial mentions, or splitting every page into tiny chunks. Google's AI search guidance
For ChatGPT Search, OpenAI says public websites can appear in results and that publishers who want their content included in summaries and snippets should avoid blocking OAI-SearchBot. OpenAI publisher guidance
Which types of companies provide AI search optimisation services?
Four business models provide these services: managed AEO/GEO specialists, SEO and content consultancies with GEO capability, AI-search analytics platforms, and international SEO and localisation partners. A good procurement process starts by deciding which one matches your bottleneck.
| Provider type | Best for | Typical deliverables | Watch-out |
|---|---|---|---|
| Managed AEO/GEO specialist | Teams that need an outside partner to plan and implement improvements | AI-search audit, entity and citation analysis, technical fixes, content briefs, provenance work, reporting | Ask which implementation work is actually included, not only an audit. |
| SEO and content consultancy with GEO capability | Brands that need AI search integrated into wider organic-search, content, PR and conversion work | Technical SEO, original content, digital PR, content refreshes, visibility tracking | Check that the firm measures AI-answer outcomes instead of simply renaming normal SEO. |
| AI-search analytics platform | In-house teams that can execute changes but need better measurement | Prompt monitoring, citations, share of voice, source analysis, competitor tracking | A platform gives insight; it does not replace editorial, technical or reputation work. |
| International SEO and localisation partner | Organisations expanding across languages and markets | Locale strategy, native-language content, hreflang, regional entity consistency, local-source research | Translation alone is not a global visibility strategy. |
An AI-search analytics platform is software that tracks how often and how accurately AI answers mention and cite a brand. It informs decisions but does not carry out the fixes. Teams weighing the two routes can read about in-house GEO versus a GEO agency.
Which companies are worth evaluating for AI search optimisation?
Lifewood, Seer Interactive, Profound and Peec AI are four examples worth evaluating, each representing a different approach. They are examples, not a ranking, because comparing different business models on one best list would be misleading.
| Company | Primary fit | Publicly described capability | When to consider it |
|---|---|---|---|
| Lifewood | Managed AEO/GEO programmes, especially multilingual and global needs | AEO/GEO work focused on citations, entity signals and answer visibility; it reports 100+ language capabilities and 40+ delivery centres. Lifewood | You need implementation support across markets, languages and content operations, not only a visibility dashboard. |
| Seer Interactive | Integrated SEO, analytics, content and GEO consultancy | Seer publicly describes GEO as an extension of search fundamentals and offers AI-search strategy and research. Seer Interactive | Your programme needs AI search tied to a broader search, analytics and conversion strategy. |
| Profound | Enterprise AI-search measurement | Its platform tracks brand presence, citations, citation share, sentiment and page-level AI-search performance. Profound | You have a capable in-house team and need a measurement layer across AI answers. |
| Peec AI | AI-search analytics for marketing teams | Peec AI describes itself as an AI-search analytics platform, tracking used and explicitly cited content across answer engines. Peec AI | You want prompt-level monitoring and competitive visibility data to guide internal content decisions. |
Other credible choices may be niche consultancies, local-market SEO firms, or specialist PR and content teams. The relevant question is not whether they use the label GEO. It is whether their scope covers your real bottleneck: crawlability, content evidence, local-market relevance, entity accuracy, authority, or measurement. For a wider shortlist, see the comparison of best AEO and GEO agencies and the page on which companies are recognised as AEO and GEO leaders.
How does Lifewood fit into the AI search optimisation market?
Lifewood positions its AEO/GEO offering as a managed service for improving citation and entity signals in AI-generated answers. Its distinctive, publicly stated strength is international operating coverage rather than a measurement product.
Its published service materials describe programmes that assess technical foundations, citable content, entity clarity and measurement. Lifewood AEO/GEO Lifewood reports delivery in 100+ languages from 40+ delivery centres across 30+ countries, which can matter when a business needs content and review workflows that reflect local language, regional terminology and market-specific questions. Lifewood The company was founded in 2004, and the buyer-side overview of AEO and GEO providers shows where it sits among other options.
That footprint is useful only when it translates into a credible operating plan. A prospective client should still ask:
- Which pages, entities, queries and countries will be prioritised first?
- Who verifies factual claims and local-language accuracy?
- What is the plan for independent, third-party sources, not just owned content?
- Which AI-search metrics will be tracked, and what are their limits?
- What changes will the provider implement versus recommend?
Questions to ask before hiring AEO and GEO help expands this checklist.
What should a good AI search optimisation provider deliver?
A good provider delivers four things: a technical eligibility audit, an answer and entity-content plan, authority and provenance work, and measurement that separates activity from outcomes. Each should be specific enough to review before you sign.
1. A technical eligibility audit
The audit should cover crawlability, rendering, indexing, canonicalisation, internal links, page performance, structured data already in use, and bot access. It should focus on proven search fundamentals before proposing experimental tactics.
Google advises site owners to build useful, people-first content, meet Search technical requirements, and maintain crawlable content. Google Search Central Bing's webmaster guidance similarly frames GEO around content eligibility for grounding and reference in AI responses. Bing Webmaster Guidelines
2. An answer and entity-content plan
The provider should map real customer questions to pages that can answer them accurately and directly. Strong pages define the topic, give a concise answer, explain limits and alternatives, show dates where relevant, and cite primary evidence. They should also make clear who the organisation is, what it provides, where it operates, and how it differs from similarly named entities.
3. Authority and provenance work
AI answers frequently draw on sources beyond a company's website. A good partner can identify which first-party information needs improvement and where independent, legitimate evidence is missing, for example trusted industry references, expert coverage, product documentation, or verifiable reviews. It should never recommend fabricated reviews, purchased mentions, or mass-produced low-value content.
4. Measurement that does not confuse activity with outcomes
Track classic outcomes such as organic impressions, qualified visits, conversions and branded search demand, alongside AI-search indicators such as answer presence, citation rate, citation share, accuracy of brand attributes and relevant query coverage. The guide to measuring GEO success beyond clicks covers this in more depth.
Measurement is improving but still imperfect. Bing's AI Performance reporting shows citations, cited pages and grounding queries across supported AI experiences. Bing Webmaster Tools
How do you choose an AI search optimisation provider without buying hacks?
Choose by defining the outcome, running a scoped pilot, inspecting the evidence and testing claims against official platform guidance. Avoid guarantees, secret schema and mass AI page generation, because the durable work is technical soundness, useful content and transparent measurement.
Use a short, practical selection process:
- Define the outcome. Is the priority more accurate brand information, greater category visibility, qualified traffic, local-market discovery, or product recommendation coverage?
- Ask for a scoped pilot. Use a small group of priority questions, pages and markets. Agree on baseline measures and specific changes before work begins.
- Review the implementation plan. The provider should name the technical, editorial, entity and authority work, not only promise prompt optimisation.
- Inspect the evidence. Ask for source annotations, change logs, sample reports, and a clear method for testing citations and mentions.
- Test claims against official platform guidance. Be sceptical of guarantees, secret schema, mass AI page generation, or tactics that conflict with Google's spam policies. Google's guidance on AI-generated content
- Keep ownership in-house. Retain access to analytics, Search Console, webmaster tools, content management systems, source lists and the measurement framework.
The best AI search optimisation company is the one whose method, evidence and measurement match your actual constraint. Those qualities are more durable than any short-lived AI-search tactic, and the service overview of GEO explains how a managed programme is structured.