LSEO review

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 25% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 9 · Adequate 6 · Weak 1. The typical agency here scores Strong, and 9 of them score higher than this one.

What this dimension measures: What the firm actually does, described concretely enough to evaluate: content restructuring for extractability, entity and knowledge-graph work, schema, source and citation-footprint building, presence on the corpora assistants actually draw from, llms.txt and crawler access. Be sceptical of anything indistinguishable from ordinary SEO sold at a premium under a new name: if the described method is only 'good content and schema', say so plainly in the verdict rather than crediting the label.

Scores high — Named, specific techniques tied to how retrieval works score 4-5.

Scores low — 'We optimise for AI' with no described mechanism scores 1-2.

What we found — The two flagship service pages are uneven. The GEO page lists six deliverables - GEO audit and competitive benchmarking, LLM-centric content optimization, schema and structured data, FAQ and snippet optimization, topical-authority clusters, and monitoring. Read as a whole that is content restructuring, schema, and link/authority building: it is not distinguishable from ordinary SEO carrying a new label, and the page says as much itself under 'The LSEO Advantage' with 'We combine classic SEO fundamentals with the latest GEO tactics.' The AEO page is materially more specific: JSON-LD schema, explicit llms.txt adoption, server-side-rendering audits, modular 'answer-first' atomic content built for extraction, and vertical E-E-A-T work. Entity and knowledge-graph technique (entity home pages, brand entity reconciliation, Wikipedia/Wikidata) and crawler-access technique (OAI-SearchBot, GPTBot, llms.txt vs robots.txt) appear on the site, but as resource-center article titles rather than as described parts of an engagement. The Mention Engine is the one genuinely distinct mechanism: buying editorial placements on third-party publishers so the brand sits in the corpora assistants retrieve from. They also run the practice on themselves - lseo.com/llms.txt returns 200 and robots.txt disallows nothing. Capped at Adequate: real technique is named, but the flagship GEO offer as described is repackaged SEO. That is between the two bands, which is why it scored Adequate.

On the record — “lseo.com/llms.txt returns HTTP 200 and its summary line reads: 'LSEO is one of the top 3 SEO / GEO / AIO and AI Search Agencies in the United States.' The file is Yoast-generated and indexes pages, posts, team and case studies for LLM consumption.” lseo.com ↗

On the record — “robots.txt contains 'User-agent: *' with an empty 'Disallow:', i.e. no crawler is blocked, which is consistent with the crawler-access advice the firm publishes.” lseo.com ↗

deliverability — deliverability: whether cold email actually lands in the inbox rather than spam. The tell is infrastructure talk — warmed sending domains kept separate from your main domain — because a burned domain outlasts the engagement.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 1 · Strong 6 · Adequate 8 · Weak 1. The typical agency here scores Adequate, and 7 of them score higher than this one.

What this dimension measures: How the firm proposes to prove anything, in a setting where outputs are non-deterministic and vary by user, session and region. Look for a described tracking approach with its limits acknowledged: prompt sets, sampling frequency, variance handling, and how a citation is attributed.

Scores high — A stated method that names non-determinism as a limit scores 4-5.

Scores low — Vague 'we track your AI visibility' scores 2-3. A firm presenting single-prompt screenshots as measurement scores 1-2 — one answer on one day is an anecdote, and treating it as a metric is the characteristic error of this category.

What we found — Better than 'we track your AI visibility', short of honest. There is a named product (LSEO AI) described as tracking citation frequency, share-of-answer, prompt-level insight into which natural-language queries trigger a mention, and sentiment across ChatGPT, Gemini, Perplexity and Google AI, with first-party GSC/GA integration explicitly preferred over scraped estimates. The GEO resource center includes 'Building a GEO Prompt Library by Funnel Stage', so the prompt-set concept is present. What is absent everywhere I read: how many times a prompt is run, at what cadence, from what regions or account states, how variance between runs is handled, and how a citation is attributed to LSEO's work rather than to drift. Non-determinism is never named as a limit on any of the GEO, AEO or platform pages; visibility is presented as a stable metric. No single-prompt screenshots were presented as proof, which is the failure mode this dimension punishes hardest, so this is not a 1-2. That is between the two bands, which is why it scored Adequate.

On the record — “The LSEO AI visibility platform publishes a $49.99/month SOLO tier with a 7-day free trial, alongside custom enterprise pricing. It tracks citations, share-of-voice, prompt-level query triggers and sentiment across ChatGPT, Gemini, Perplexity and Google AI, and integrates first-party Google Search Console and Analytics data rather than scraped estimates.” lseo.com ↗

On the record — “No guarantee of rankings or citations, and no claimed partnership or privileged access with any model provider, was found on the homepage, GEO page, AEO page, Mention Engine page or platform page.” lseo.com ↗

funnel — the path from stranger to customer — awareness at the top, purchase at the bottom. “Full-funnel” means owning the whole path, not one stage.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 20% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 5 · Adequate 7 · Weak 4. The typical agency here scores Adequate, and 5 of them score higher than this one.

What this dimension measures: Weighted unusually high because this category's defining risk is overclaim, not opacity. No vendor controls what an assistant says. Also flag results claims presented without the prompt set or timeframe that produced them, and any implication that the firm has privileged access to a model's ranking.

Scores high — A firm that states plainly what it cannot guarantee scores 4-5.

Scores low — Guaranteed rankings, guaranteed citations, guaranteed 'first result in ChatGPT', or claimed partnerships with model providers score 1-2 and must be named in red_flags.

What we found — Split. On the things this category most often gets wrong, LSEO is clean: across the homepage, GEO, AEO, Mention Engine and platform pages I found no guaranteed ranking, no guaranteed citation, no 'first result in ChatGPT', and no claimed partnership or privileged access with any model provider. The Mention Engine FAQ frames outcomes probabilistically ('results are most visible at 60-90 days into a sustained program'), and the SEO case studies attach timeframes to their numbers. Against that: LSEO publishes 'The Best Generative Engine Optimization (GEO) Agencies of 2026' on its own domain and ranks itself #1 with no disclosure that the publisher is the ranked party; its llms.txt - a file whose only purpose is to be read by language models - opens with 'LSEO is one of the top 3 SEO / GEO / AIO and AI Search Agencies in the United States'; and the platform page claims 'one of the top SEO agencies in the world'. None of these superlatives is sourced. Planting an unsourced self-ranking directly into the AI-consumption path is the discipline problem specific to this category, and it is named in red_flags. That is between the two bands, which is why it scored Adequate.

On the record — “No guarantee of rankings or citations, and no claimed partnership or privileged access with any model provider, was found on the homepage, GEO page, AEO page, Mention Engine page or platform page.” lseo.com ↗

On the record — “lseo.com/llms.txt returns HTTP 200 and its summary line reads: 'LSEO is one of the top 3 SEO / GEO / AIO and AI Search Agencies in the United States.' The file is Yoast-generated and indexes pages, posts, team and case studies for LLM consumption.” lseo.com ↗

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 15% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 10 · Adequate 6. The typical agency here scores Strong, and 10 of them score higher than this one.

What this dimension measures: Attributable client work. Be lenient on volume and strict on attribution: this category is young enough that a short roster is expected, but a long roster of unnamed logos is not evidence. Where a firm's OWN brand is demonstrably visible in AI answers, note it as a real if partial signal — it is at least a claim about themselves they cannot make privately.

Scores low — Named clients with described engagements score 4-5; anonymised or absent scores 2-3.

What we found — Sixteen named case studies, several with unusual operational detail: the Ring study names the two target URLs on ring.com and states roughly 25 backlinks per month over five months; the ESPN study names the Premier League keyword set and claims 80% reached top-5 Google rankings in 90 days; the PayPal study names the fintech competitors benchmarked. By the standards of this young category that is strong attribution. The disqualifying fact is that not one of the sixteen concerns GEO, AEO or AI-assistant visibility - every case is traditional SEO, link building, PPC or web design, and the enterprise logos shown on the GEO and AEO pages (ESPN, PayPal, eBay, NFL, Brad's Deals, Redfin) are logos only, with no described AI-search engagement behind them. So the roster proves the firm executes search work for large brands; it is not evidence of the service being sold here. Capped at Adequate: self-published and uncorroborated, and off-category.

On the record — “All 16 published case studies concern SEO, link building, PPC or web design. None concerns GEO, AEO or visibility in an AI assistant. Examples read in full: ESPN (link building, '80% Achieved Top 5 Google Rankings in 90 Days'), Ring (link building, '100% Ranking Improvement', ~25 backlinks/month over five months to two named ring.com URLs), PayPal (SEO strategic plan, '175 SEO Strategic Insights Unlocked').” lseo.com ↗

On the record — “lseo.com/llms.txt returns HTTP 200 and its summary line reads: 'LSEO is one of the top 3 SEO / GEO / AIO and AI Search Agencies in the United States.' The file is Yoast-generated and indexes pages, posts, team and case studies for LLM consumption.” lseo.com ↗

attribution — working out which marketing touch actually caused a sale. Good practice names its model and its blind spots; bad practice quotes each ad platform’s self-graded numbers, which overlap and overclaim.

Evidence: vendor stated — the agency’s own claim, recorded as theirs rather than ours.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 10% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 3 · Strong 4 · Adequate 2 · Weak 7. The typical agency here scores Adequate, and 7 of them score higher than this one.

What this dimension measures: Note contract length: long lock-ins are hard to justify in a category this young, where nobody can evidence a twelve-month outcome yet, and a firm offering short or month-to-month terms should be credited for it.

Scores low — Published prices, ranges or defined packages score 4-5; ranges on request score 2-3; bespoke-only scores 1-2.

What we found — Two productized lines publish real numbers: the Mention Engine sells at budget tiers of $500, $1,000, $2,500, $5,000 or custom, with $100 in credits for new users; the LSEO AI visibility platform publishes a $49.99/month SOLO tier with a 7-day free trial and custom enterprise pricing above it. The Clutch profile lists a $1,000+ minimum, a $100-149 hourly range and a $10,000-$49,000 typical project size. What is not published anywhere is the price of the GEO or AEO service itself - both pages end at 'Get a free consultation' - and no contract length, notice period or termination term appears on any page I read. Because nothing is disclosed about lock-in, the credit the rubric offers for short or month-to-month terms cannot be given.

On the record — “Clutch profile shows 5.0 out of 5 from 10 verified reviews; the newest review is dated 31 January 2019 and the oldest 27 January 2016. Listed minimum project size $1,000+, hourly rate $100-$149, most common project range $10,000-$49,000.” clutch.co ↗

On the record — “The Mention Engine publishes budget tiers of $500, $1,000, $2,500, $5,000 or custom, with $100 in credits for new users, and states campaigns go live within a few business days of plan approval with results 'most visible at 60-90 days into a sustained program'.” lseo.com ↗

Evidence: partly checkable — corroborated in part against the sources below; the remainder rests on the agency’s own account.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Strong 7 · Adequate 9. The typical agency here scores Adequate, and 7 of them score higher than this one.

What this dimension measures: Whether the firm acknowledges that the surfaces move, and describes how it adapts: monitoring for model and interface changes, revisiting method, published research or original testing.

Scores high — Evidence of ongoing testing and updated method scores 4-5.

Scores low — A static playbook presented as settled practice scores 2, since nothing in this category has been stable long enough to be settled.

What we found — The blog is genuinely current - dated 2026 posts on Semrush's AI visibility study, on Anthropic watermarking Claude output and what it implies for GEO, and on what content AI search cites most - and the firm shipped a new product (Mention Engine) into this category rather than only writing about it. Against that, the page that defines the flagship service has not moved with the surfaces it describes: the GEO services page still frames the landscape as 'Google SGE (Search Generative Experience)', 'ChatGPT (OpenAI's GPT-4)' and 'Microsoft Copilot / Bing Chat', all names retired before this evaluation, and the resource center's agency roundup is headed 2025 while a 2026 edition exists elsewhere on the site. Commentary is being refreshed; the described method is not. That is between the two bands, which is why it scored Adequate.

On the record — “The GEO services page still describes the current landscape using retired product names: 'Google SGE (Search Generative Experience)', 'ChatGPT (OpenAI's GPT-4)' and 'Microsoft Copilot / Bing Chat'.” lseo.com ↗

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.

Adequate — 3 of 5 on this rubric’s scale, from Poor (1) to Excellent (5). This dimension carries 5% of the total score.

Benchmark — across the 16 other agencies evaluated in this discipline, this dimension runs Excellent 2 · Strong 6 · Adequate 5 · Weak 3. The typical agency here scores Strong, and 8 of them score higher than this one.

What this dimension measures: Independent, verified reviews. Low weight and low expectations: most firms here are under two years old, so an absent review base is a fact about the category's age rather than a finding about the vendor.

Scores low — A substantial verified base scores 4-5; a handful scores 2-3; none located scores 2.

What we found — Read the Clutch profile first-hand: 5.0 out of 5 across 10 verified reviews. The reviews are real and consistent - responsiveness, delivery against commitments, lead generation - but every one of them dates from January 2016 to January 2019, the newest being 31 January 2019. All ten predate generative search entirely and none can speak to the AI-search practice. Ten verified reviews is more than most firms in this category have; that they are seven years old means they corroborate the SEO shop, not the GEO offer.

On the record — “Clutch profile shows 5.0 out of 5 from 10 verified reviews; the newest review is dated 31 January 2019 and the oldest 27 January 2016. Listed minimum project size $1,000+, hourly rate $100-$149, most common project range $10,000-$49,000.” clutch.co ↗

Evidence: verified — checked against a named source you can open; the links under Sources below are where to check it yourself.